AI ML Resources from My Diary

This is my personal diary which contains resources, which I know, learned or people have told me to experiment with. I started writing this diary in Mar’ 2019. This diary is related to my work/learning in data science, AI, ML, NLP, DL, GNN, GAN, Statistics, etc. A few links related to Software Development, People Management, Project Management are also kept in this diary. The resources here are python/R library link, blog articles, YouTube video links, article links, AI products links, architecture, images etc. The Table of Content and Content of this diary is not any specific order. Whatever I was/am getting I keep adding into this, mostly towards the end but not always.

This is a 390 page personal learning diary and it contains approx 1000 resources. List of the resources available in this file are mentioned below.

Download Link to this Diary

Table of Contents

1. ITU-AI-ML-in-5g-challenge / GNN Challenge
2. Graph Neural Networks - a perspective from the ground up
3. sebastianraschka DS courses
4. github: Pycaret
5. TF GNN
6. Mainfold Learning
7. Summary of Data Science
8. Dr Repair - Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
9. Interesting way to analyze a time series
10. Scrum vs Kanban
11. Leadership Qualities
12. Graph for Timeseries
13. Merlion
14. GNN based Movie Trailer Generator
15. Notation — ML Glossary documentation
16. How to Improve
17. Machine Learning & Data Science Competitions - ML Contests
18. The evolution of the Employee
19. Yann LeCun’s Deep Learning Course at CDS – NYU Center for Data Science
20. Taxonomy of GNN Learning Methods
21. GNN for Novice
22. Some free alternatives software to MATLAB
23. 500 Page Book on Quantum Computing
24. 2022 Top 22 Tech Trends
25. Acing Data Science Interview Questions
26. Garbage Features
27. SQL Training
28. Process Mining
29. Best Graph Neural Network architectures: GCN, GAT, MPNN and more \ AI Summer
30. Free AI, DL, Maths, Python Resources MarkTechPost.com
31. Merlion Architecture
32. 70 Free Online Courses for Data Science to Advance Your Skills in 2022
33. Machine Learning Simplified
34. The most innovative AI algorithms released in 2022 (till date)
35. Transformer Takeover in AI
36. AIOPS
37. DS Books
38. Techprofree books
39. Autoencoders-tutorial
40. GNN
41. github: 500-AI-Machine-learning-Deep-learning-Computer-vision
42. The NLP Index: 3,000+ code repos
43. github: Nyandwi/machine_learning_complete
44. Leadership Lessons from APJ Kalam
45. Github: Python framework to explore, label, monitor data nlp projects
46. Maths for Data Science by IITM
47. Datarobot
48. github: SeldonIO
49. Internshala
50. konfhub
51. Machine Learning Projects in Python
52. github: Merlion
53. github: aws-samples ml-inference-using aws lambda
54. Traditional ML vs Transfer Learning
55. How To Use The 4 Types Of Intelligence To Make Better Decisions
56. Microsoft SDE Sheet - Top 35 Most Frequently asked
57. Global AI Hub – Build your future
58. Keras community built 100 concise and clear code examples
59. Intro to machine learning compilers and optimizers
60. Approaches to process and classify images in a new way.
61. Inductive link prediction in knowledge graphs
62. TensorFlow tutorials
63. DevOps - Azure Board Training
64. Intelligent Graph
65. Great NLP, Text Mining Talks post
66. Google Cloud Tools
67. Spark NLP \ State of the Art Natural Language Processing \ John Snow Labs
68. Channels to Learn Python
69. What is Neural Network? How does it understand things?
70. World’s Leading AI and Technology Publication
71. Skills, Roles and Responsibilities in Data Science
72. Complexity Explorer
73. Network Science by Albert-László Barabási
74. Graph Neural Networks: Models and Applications
75. NLP in Notebooks Competition
76. GNN TimeSeries Intelligence
77. Tuning Neural Networks Part I: normalize your data
78. Multi-paragraph segmentation
79. Machine Learning 2020 summary: 84 interesting papers/articles
80. GitHub Announces GitHub Open-Source Grants Recipients In India
81. Watch “Python Tutorial For Beginners In Hindi (With Notes) 🔥” on YouTube
82. Quantum Computing Course
83. Optimum: The Optimization Toolkit for Transformers at Scale
84. CPU, GPU, TPU, FPGA
85. Textless NLP: Generating expressive speech from raw audio
86. Textless NLP: Generating expressive speech from raw audio
87. How Data-Centric Platforms Solve the Biggest Challenges for MLOps - The Databricks Blog
88. Best Resources to Learn Natural Language Processing in 2021 - KDnuggets
89. Index of Best AI/Machine Learning Resources \ Hacker Noon
90. Qwiklabs - Hands-On Cloud Training
91. Introduction to Graph Neural Network (GNN) \ Analytics Steps
92. Watch “Auto Tensorflow - End to End AutooML solution - Exclusive Launch” on YouTube
93. Graph Database, GraphQL and Machine Learning for Carbohydrate-Active Enzymes
94. Pydantic experiment
95. Graph ML
96. Reinforcement Learning Lecture Series 2021 \ DeepMind
97. Advances in Cybernetics, Cognition, and Machine Learning for Communication … - Google Books
98. Visualization — Effective Python for Data Scientists
99. The NLP Index
100. Github: Anomaly Detection Open source
101. Patsy: Build Features with Arbitrary Python Code - Data Science Simplified
102. Introducing OpenSearch \ AWS Open Source Blog
103. End-to-End Differentiable Molecular Mechanics Force Field Construction
104. Learning resources \ DeepMind
105. Understanding LSTM Networks – colah’s blog
106. Machine Learning Models as Micro Services in Docker
107. Unsupervised Learning Techniques
108. A 10 free ‘Springer’ Books on the Topics of AI, Ethics, Machine Learning, Robotics, Cybersecurity, Philosophy, Science & Innovation
109. Deep Learning on Graphs: Past, Present, And Future :
110. Watch “Ask the Expert: VS Code: Development in the Open” on YouTube
111. Analytics Tools
112. Online Data Science Course from Univ
113. ML Powered Apps vs Traditional Programming
114. Task:Introduction to Deep Learning
115. How Pokémon GO scales to millions of requests? \ Google Cloud Blog
116. A programmers guide to data mining
117. Pokeman go architecture
118. GNN summary paper
119. Regression Cheatsheet
120. Github: Data deduplication tool
121. Kappa for model evaluation
122. Data science resources
123. IIT Bombay Invites Applications from Students for Free Online Course on Quantum Mechanics
124. ViT
125. How Storytelling Affects the Brain
126. Navigating the Dozens of Different Strategy Options
127. Pytorch
128. GNN
129. AutoML
130. Deep Graph Neural Networks
131. Meta’s Neural Prophet
132. Summary of HTTP Errors
133. mlcontents.com
134. What is R used for?
135. Intermittent Demand Forecasting with Deep Renewal Processes – Deep & Shallow
136. Github: GNN Challenge 2021
137. Holographic Principles
138. GNN Notation
139. AI Consulting: In-depth Guide with Top AI Consulting Firms
140. 4 Keys to Effective—and Honest—Data Visualizations
141. SVM
142. ML For Managers
143. How to Talk to Your Data Scientist \ HuffPost Impact
144. Simplex Method with NumPy and Matrix Operations
145. Optimization problem
146. Difference between Soft Computing and Hard Computing
147. A Global Breakdown of Greenhouse Gas Emissions by Sector
148. Turing Bletchley: A Universal Image Language Representation model by Microsoft - Microsoft Research
149. Timeseries Library
150. 10 Mysterious And Rare Artifacts You Didn’t Know Before - TopTenScience
151. Categorical Encoding Cheat Sheet
152. Quantum Computing
153. NeurlPS 2021—12 papers You Shouldn’t miss
154. Architecture of Modules in Merlion
155. poetry python dependency and package manager
156. The Technique of English Word Syllable Division in Speech …
157. Tutorial on reading large datasets \ Kaggle
158. NVIDIA NLP in Production
159. Glassdoor Data Science Career Path
160. Google Using Deep Learning to Design Chips
161. MLContests.com
162. 280+ Machine Learning Projects with Python
163. Machine learning engineer R&R
164. CNN and Transformer
165. AI, ML Tools
166. SBI Innovate for Bank 2022 Hackathon Technology Partner Microsoft \ TechGig
167. Intro to Intel’s Distribution of OpenVino Toolkit
168. A Practical Strategy to Share the Code among Different Notebooks \ by Angelica Lo Duca \ Towards AI
169. Chart type selection
170. Monitoring NLP Pipelines
171. The Best NLP with Deep Learning Course is Free
172. Yellowbrick Python Library for ML
173. GoogleNews pip
174. Spring 2021 Schedule - Full Stack Deep Learning
175. Book Recommender System
176. Airflow
177. Mathematics of Big Data and Machine Learning
178. Data integrity issues
179. MLOPS with AWS 9 Weeks Course
180. Streamlit Tutorials Playlist
181. Online AI projects
182. 3D Vision Summer School
183. 40 Open-Source Audio Datasets for ML
184. Intro to Intel’s OpenAPI
185. HackerNoon
186. ML Tools
187. Data Science Competitions
188. PyScript - JavaScript’s sweet cousin.
189. GraphWorld: A Methodology For Analyzing The Performance Of GNN Architectures
190. github: connorferster
191. SQL Joins
192. Handling Missing Data
193. ML Pipeline
194. Generative Process - Overview of Neural Testbed
195. github: SeldoneO
196. Tracking Progress in Natural Language Processing \ NLP-progress
197. Neural Voice Camouflage
198. 9 Free Cloud Storage
199. Generative Adversarial Networks \ Generative Models
200. Watch “Markov Chains Clearly Explained! Part - 1” on YouTube
201. Stastistical tests
202. Watch “How to write a report using LATEX” on YouTube
203. AIM Survey - State of AI in Indian Enterprises
204. Data-Centric AI Competition Submission Guide
205. Understanding the role of individual units in a deep neural network \ PNAS
206. TPOT
207. Alexnet Architecture \ Introduction to Architecture of Alexnet
208. Watch “Introduction to AWS Services” on YouTube
209. Watch “Microservices Interview questions \ Interview Preparation” on YouTube
210. Watch “12 Factors App \ MicroServices Architecture \ Cloud Native Best Practices” on YouTube
211. Watch “Microservices Design Patterns \ Microservices Architecture Patterns \ Edureka” on YouTube
212. Watch “Microservices vs API \ Differences Between Microservice and API \ Edureka” on YouTube
213. Watch “Build a custom ML model with Vertex AI” on YouTube
214. [Infographics] Data Science Skills Roadmap: Skills and Certifications to Have in 2021 \ SDS Club
215. Autoencoders in Python \ How to use Autoencoders in Python
216. How to Calculate Feature Importance With Python
217. MLOps - Machine Learning Operations
218. Ten Highest Paying Companies for Data Scientists in 2021
219. MLOps Course \ MLOps Online Training, India - 360DigiTMG
220. Continuous Integration and Deployment for Machine Learning
221. Why AI is a game-changer for renewable energy \ EY - US
222. Worldscholarship Forum
223. Bird Song Classification using Siamese Networks and Dilated Convolutions
224. Matplotlib vs. Plotly: Let’s Decide Once and for All
225. Dispatch from Bangalore – TechCrunch
226. RoBERTa building for Italian lang
227. PyTorch 1.9 - Towards Distributed Training and Scientific Computing
228. Train New BERT Model on Any Language
229. How to Create Report-Ready Plots in Python
230. OpenAI Launches GitHub Copilot: AI Focused On Code Generation. Should We Be Worried Now?
231. What OpenAI and GitHub’s ‘AI pair programmer’ means for the software industry
232. Importing/Reading Excel data into R using RStudio (readxl) \ R Tutorial 1.5b \ MarinStatsLectures
233. How I passed the AWS Solutions Architect Associate Exam in 1 month 2021
234. Hindawi Journals
235. Is it possible to use multithreading inside of Flask?
236. Introduction to Deep Learning
237. 100+ Free Machine Learning Books
238. Free online book - Machine Learning from Scratch
239. Skill Basics
240. Operating System For Machine Learning & AI
241. From Pandas to PySpark with Koalas
242. Free Data Science, Machine Learning
243. NET Architecture Guides
244. Getting Started with GPT-3 in Power Platform
245. Netflix Recommendations
246. Techlearn
247. Data Ingestion with TensorFlow eXtended (TFX)
248. The ExampleGen TFX Pipeline Component
249. The School of AI
250. Github: GREMLIN: An Apache TinkerPop Tutorial
251. Quantum Machine Learning
252. Quantum Machine Learning MOOC
253. Quantum Mechanics and Quantum Computation
254. Quantum Computation
255. Qiskit
256. TensorFlow Quantum
257. CirqBasics.ipynb - Colaboratory
258. QpiAI - AI and Quantum Simplified
259. MadewithML
260. Kick Start - Google’s Coding Competitions
261. Online Python Challenges - Python Principles
262. Gaining access to the best machine-learning methods - O’Reilly Radar
263. Data Science Blogathon - 11
264. The Machine & Deep Learning Compendium
265. Github: NLP Resources dlg4nlp
266. Machine Learning Life Cycle 2.0 - Mind Map
267. Handbook on Data Protection and Privacy
268. 6 low-code internal tool builders in 2021
269. AI books
270. Resources to learn DS
271. Parallel Processing and Pandas
272. Julia vs. Python
273. Introduction to Computational Thinking
274. A fun way to start learning Julia.
275. Data Sceince Tools
276. 5 Most Popular Datasets
277. Drug Discovery Using Artificial Intelligence
278. DLG4NLP tutorial
279. Deep Reinforcement Learning by Pieter Abbeel
280. 6 Highest Paying Data Science Certifications You Should Know
281. The Great Hack \ Netflix Official Site
282. Probability for Data Scientist
283. Quantum Computing, Artificial Intelligence, & Machine Learning for Drug Discovery
284. Gaussian processes (1/3) - From scratch
285. GRAPH4NLP
286. Computer Vision Skills
287. The Data Science Interview Study Guide - KDnuggets
288. GM VAE for NLP
289. NPTEL Courses on Computer Science and Engineering
290. VAE
291. AWS vs. Azure vs. Google Cloud - Price Comparision
292. Data Analytics and Visualization Made Easy - Juice Analytics
293. JupyterLab vs DataSpell
294. Top 15 YouTube Channels For Deep Learning
295. GitHub : TheAlgorithms/Python
296. Github: Label Studio Spacy
297. Free Data Science Courses - 11-Months Free IBM Certification Courses
298. Data Science Links
299. Free AI Resources - MarkTechPost
300. General and Scalable Parallelization for Neural Networks
301. Why Machine Learning Is Changing The Advertising Industry
302. Marketers: Here’s Your Statistical Models Cheat Sheet
303. The Current Applications Of Artificial Intelligence In Mobile Advertising
304. Statistical Inference
305. CNN + Jraph in Colab
306. DAIR.ai YouTube Courses
307. Graph Neural Networks in Colab
308. Github: Must Practice this GNN notebook
309. Interview-question-data-science
310. How to Become Better Listener
311. Imbalance Training Data
312. Introduction to Probability for Data Science
313. Data retrieval with SQL, data manipulation MIT Software tool class
314. 7 Ways how Data Scientists use Statistics
315. Google Data Science Interview Questions and Answers
316. Best Free Machine Learning Books
317. Machine Learning Algorithms Cheatsheet
318. Tools for Data sourcing, data wrangling, data application
319. Great Leaders Are Confident, Connected, Committed, and Courageous
320. 25 Github Repositories Every Python Developer Should Know
321. 11 Automatic Machine Learning Frameworks in 2022
322. Data Science Roles, Responsibilties, Tools
323. Debugging in Python
324. TensorFlow Introduces TensorFlow Graph Neural Networks (TF-GNNs)
325. India has wasted the potential of its large young population
326. The Power of Visualization in Data Science
327. Text Generation from Knowledge Graphs
328. Evidently AI - Open-Source Machine Learning Monitoring
329. ShaplyAI
330. BentoML
331. MLOps Toys \ A Curated List of Machine Learning Projects
332. Github: AI Fairness 360
333. Analytics for LinkedIn
334. Data Visualization Tools
335. Graph ML 2022
336. Graph Neural Networks through the lens of Differential Geometry and Algebraic Topology
337. Data universe
338. 15 Graphs You Need to See to Understand AI in 2021
339. 2021’s Top Stories About AI - IEEE Spectrum
340. The Pattern of Success in the Digital Leadership World
341. Yann LeCun’s Deep Learning Course at CDS
342. The best graph tool
343. Github: 365 days computer vision
344. Pytorch is a Deep Learning framework
345. Rising Against the Diminisher
346. Category - Programming Books
347. Designing Event-Driven Systems
348. Github: Seldon Core: Blazing Fast, Industry-Ready ML
349. Databricks
350. Deepfake using conv vision transformer
351. Detection of Fake Reviews on Online Review Platforms using Deep Learning Architectures
352. GNN Intro
353. 50 Best Data Science Project Ideas -2022
354. 60 Best Free Online Courses for Machine Learning & AI in 2022
355. Data Lifecycle
356. Github: HiPlot - High dimensional Interactive Plotting
357. 6.10. Visualization — Effective Python for Data Scientists
358. Data Science Practices & Tools
359. Reproducibility in ML
360. Week 4 - Reproducibility in Machine Learning: From Theory to Practice - Koustuv Sinha
361. Designing, Visualizing, and Understanding Deep Neural Networks
362. YOLO v4 explained in full detail
363. Phases OF Dev-Ops
364. ML TOOLS & TECHNOLOGIES
365. PyCaret with FastAPI
366. 18 Data Science Podcasts
367. Effective Testing for Machine Learning (Part I)
368. FREE DS MASTER CLASS SERIES (PYTHON)
369. Simple Explanation of LSTM \ Deep Learning Tutorial 36 (Tensorflow, Keras & Python)
370. Covid19 forecasting
371. COVID-19: Face Mask Detection using TensorFlow and OpenCV
372. 14 Python Lib for Cyber Security
373. Roles in Data Science Project
374. Computer vision datasets: VisualData Discovery
375. DatAndroid Dataset
376. Pandas online learning
377. MongoDB Fundamentals Course
378. GroundedML — ICLR 2022
379. PyTorch vs. TensorFlow: Which Framework Is Best for Your Deep Learning Project?
380. MLOps \ Bring DevOps To Data Science With MLOps
381. Data science project life cycle
382. Devops life cycle
383. Continuous integration
384. 3 ways to use data, analytics, and machine learning in test automation
385. Automated Functional Testing - Software Testing Tool
386. Using sub graph for more expressive GNN
387. HOW AI & MACHINE LEARNING IS CHANGING TEST AUTOMATION
388. NanoEdge AI Studio
389. How I Built an ML Algorithm to Improve Test Automation
390. AI and ML in Testing: X Tips To Make Test Automation Effective
391. KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
392. TOP 10 GitHub Repositories for Data Science
393. Real-time machine learning: challenges and solutions
394. How to Read ML Papers Easily
395. Rulebased chatbot in Python
396. Forecasting: Principles and Practice
397. Chapter 10 Forecasting hierarchical or grouped time series
398. Will we see GPT-3 moment for computer vision?
399. Tiny ML, Quantum ML, Auto ML, MLOps, Fusll Stack DL
400. List of Unicorns Startups in India \ Top Unicorns in India
401. SQL vs NoSQL Tools for Cloud
402. Free AI Introductory Course For All
403. Stanford CS224U Natural Language Understanding Spring 2021
404. Grouped multivariate and functional time series forecasting:
405. Cloud security assessment checklist
406. Python Cheat Sheet
407. Neural Network Types
408. Data Science Interview Questions
409. Ace the Data Science Interview book
410. Cracking-the-data-science-interview
411. Relationship Extraction for Knowledge Graph Creation From Biomedical Literature
412. DS Community
413. Metaverse – A New Era Emerging
414. Tensorflow data validation
415. Page rank Algo
416. Github: Auto Tensorflow
417. IIT Madras Offers Free Online 12- Week Certificate Course on AI
418. Top 10 Applications of Machine Learning in Cybersecurity
419. How to handle Emoji ‘😄’ & Emoticon ‘ :-) ’ in text preprocessing?
420. Text Detection and Extraction using OpenCV and OCR
421. Devanagari Handwritten Character Dataset Data Set
422. Hindi-OCR
423. Stack exchange all rooms
424. How to improve Hindi text extraction?
425. What is Categorical Data \ Categorical Data Encoding Methods
426. DART
427. TimeSeries Forecasting models
428. Statistical Distances
429. AI Usecases
430. Architecture-to-operationalize-ML
431. neptune.ai
432. DeepMind shares a list of free AI & ML resources
433. AI course
434. TOC of AI course
435. Data Science Conceptual Map
436. Layers in NLP
437. Regression Analysis Estimation and Error Function
438. NLI for DB
439. Transformer models - Hugging Face Course
440. Learning From Data - Online Course (MOOC)
441. Find Leadership Courses
442. Wrapper to load dataset from remote PyTorch dataset
443. Advanced Certification in Data Science and AI by IIT Madras
444. How well do explanation methods for machine-learning models work?
445. Confusion Matrix for 2+ Classes
446. ML Algo Cheat Sheet
447. Machine Learning Algorithms Free course 8hours
448. AI Technologies in Construction
449. Github: Data drift what next
450. Cross Validation - Hold Out, K-Fold, LOOCV
451. Data Science Project Lifecycle
452. Data Science Tools, Algorithms, Pipeline
453. Graph neural networks (GNNs)
454. GNN
455. Clustering
456. How to master Streamlit for data science
457. [ML News] ConvNeXt: Convolutions return
458. Nature of Research and Questions
459. Tips for Sailing Data Science job
460. 7 Interactive Bioinformatics Plots made in Python and R
461. Installing Python Packages from a Jupyter Notebook
462. Neural Networks on Graph
463. Live code Visualization notebook
464. What Is a Bitcoin ATM?
465. A New Reinforcement Learning Based Method - Dead-end-Discovery
466. Next Level of Data Visualization in Python
467. 7 Plotly Graphs in 3D: Stocks, Cats, and Lakes
468. Github: Interactive graph in Python
469. Modern Deep Learning Techniques Applied to Natural Language Processing by Authors
470. NLP with Deep Learning Video playlist Standford Online
471. Michigan University Fall 2020 Schedule
472. Deep Learning for Video, Master in Computer Vision Barcelona 2019
473. Computer Vision course at CTU in Prague
474. Github: DS Cheat sheets
475. ML Cheatsheet
476. IIT Khadakpur Sanskrit NLP
477. Making Sanskrit Accessible through AI-based Text Processing
478. Fundamentals of NLP research in Sanskrit
479. Is Sanskrit the most suitable language for natural language processing?
480. Sanskrit github
481. 10 Data Analysis Methods
482. AI NLP Timeline and the Transformer Family
483. Introduction by Example - pytorch_geometric 2.0.4
484. Python Notebook to Webapp
485. 18 Feb Trending Github
486. Real time machine-learning challenges and solutions
487. How Machine Learning Can Help Test Automation
488. Test Automation in the World of AI & ML
489. Maths for neuroscience
490. HyperSense AI Studio \ No Code Platform \ AutoML
491. Top 20 Websites for Data Science and ML
492. Websites for competitive programming
493. Raspberry pi
494. Library for Auto labelling
495. Github: Using AWS Lamda and EFS
496. Resources and tools
497. Paying the hidden technical debt
498. Hidden Technical Debt
499. Technical Debt in Machine Learning
500. Hidden technical debt in machine learning systems
501. Best Docket Cheatsheets
502. How to Scale AI in Your Organization?
503. CVPR 2022 paper Lifelong Graph Paper
504. DataOps Tools
505. NLP Repo
506. 100+ data science Cheatsheet
507. Ignnition enabled fast prototyping of GNN
508. Deep Learning with PyTorch, Full course
509. List of Language Models
510. AI Books Cover Pages
511. Solution approach for ai problems
512. Algorithms and their applications
513. What is Outlier \ PyOD For Outlier Detection in Python
514. Free ML tools from Microsoft
515. How to Easily Automate Emails with Python
516. Publicly Real-World Datasets To Evaluate Stream Learning Algorithms
517. Companies hiring data scientist
518. Google drive DS material
519. Microsoft Is Going Global With Speech Enablement
520. A topic-centric list of HQ open datasets
521. Top Explainable AI (XAI) Python Frameworks in 2022
522. MLOPs with AWS Cloud
523. The world of machine learning algorithms
524. Think Big Data
525. 9 Reasons - Why Artificial Intelligence is So Essential Right Now?
526. Data Science Lifecycle
527. ML Deployment Tools
528. Machine Learning
529. New Generation Technologies
530. 10 free websites To learn Web3 and Blockchain development
531. Blockchain Technologies
532. Web3 Stack
533. Machine Learning with Signal Processing Techniques
534. Nasa’s SpaceML Tool
535. SpaceML Taps Satellite Images to Help Model Wildfire Risks
536. The Best Open Source Chatbot Platforms in 2022
537. 13 Best AI Chatbot Development Framework & Platforms
538. 10 Best Chatbot Development Frameworks to Build Powerful Bots
539. Learning Representations of Geographic Locations From Unlabeled GPS Trajectories
540. Deep Learning Streaming Platform
541. Fake data Library
542. Top Explainable AI Frameworks
543. The Top 5 AI/Machine Learning blogs
544. Industry application of NLP
545. Airflow vs Luigi vs Argo vs Kubeflow vs MLFlow
546. ML Platforms: Dataiku vs. Alteryx vs. Sagemaker vs. Datarobot
547. Machine Learning Applied to Bigdata
548. Top Responsible AI (Artificial Intelligence) Tools in 2022
549. Machine Learning Zoomcamp
550. 90+ Data Science Projects You Can Try with Python
551. How to implement data-centric AI in NLP
552. Issue #190 - THE ML ENGINEER
553. Machine Learning in Alteryx with PyCaret
554. Machine Learning in Tableau with PyCaret
555. Machine Learning for Cyber Security
556. Google AI Introduces LocoProp
557. Distributed Training in TensorFlow with AI Platform & Docker
558. Serve hundreds to thousands of ML models : Architectures from industry
559. An Exhaustive Read & Watch List for AI
560. ML Concepts
561. Reco: Introduction to Probability for Data Science
562. Supervised Clustering: How to Use SHAP Values for Better Cluster Analysis
563. Github: 800 free #ComputerScience classes
564. Mathematics of Big Data and Machine Learning @MIT
565. Linear Algebra @MIT
566. CS109A Data Science @Harvard
567. NLP with Deep Learning by Stanford
568. Google Vizier: A Service for Black-Box Optimization
569. Tinker With a Neural Network in Browser
570. Hand Gesture Recognition - Pretrained
571. Blockchain Tech
572. Distributed GNN training
573. Serverless computing for GNN
574. Graph Analysis to Fight Fraud
575. Transfer Learning Colab Note
576. Introduction to Vertex AI \ Google Cloud
577. Continuous Integration for Machine Learning: Testing ML Models
578. Computer Vision Nanodegree​
579. Sign up: Kaggle x Scale AI offer
580. Seminal Work in Data Science
581. Metaverse beyond the hype
582. Vertex AI: Qwik Start \ Google Cloud Skills Boost
583. How Azure Machine Learning works (v2) - Azure Machine Learning \ Microsoft Docs
584. Github probml/pml2-book
585. Probabilistic ML
586. Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
587. Hypothesis Testing
588. Architecture
589. The Basics - Holochain Docs
590. Understanding AlphaZero Neural Network’s SuperHuman Chess Ability
591. Flink Vs. Spark: Difference Between Flink and Spark
592. Design Patterns
593. Web2 vs web3 platforms
594. 100+ gpt3 projects
595. Python Design Patterns
596. Tutorial of fundamental remote sensing and GIS methodologies using open source software in python
597. Mining Trends in Data Science Blog Headlines
598. Best softwares for #latex like data visualisation programs
599. Knowledge Graph-based Perspective on Named Entity Disambiguation
600. Google Cloud Anthos Series - 1: Introduction to Anthos
601. Securing apps for Googlers using Anthos Service Mesh
602. Anthos supports NVIDIA GPUs
603. Animated Chart Presentation in Jupyter Notebook.
604. Word Error Rate in STT
605. Quality Engineering Microservices
606. Automate Machine Learning using Databricks AutoML
607. AI for Beginners
608. Bigdata architecture
609. Language-Vision Model To Leverage Text Medical Reports For Improved Segmentation
610. Information Theory & Bayesian ML
611. A generic, simple and fast implementation of Deepmind’s AlphaZero algorithm.
612. Chart Suggestions Guide \ Tableau Public
613. Continuous Deployment of ML Models to the Edge
614. 100+ data structure and algorithms
615. Microsoft Research - General-Purpose Multimodal Foundation Model BEIT-3
616. BEiT-3 Performance on Deep Learning Tasks
617. Data Analytics vs Data Science
618. Machine Learning Systems versus Machine Learning Models
619. Machine Learning Systems vs Machine Learning Models
620. Top 8 YouTube Channels to learn Web3
621. Learning timeseries can be tough.
622. Pen and Paper Exercises in Machine Learning
623. 12 Best Online Courses for Machine Learning with Python-Bestseller 2022
624. Time Space Complexity in Machine Learning Algo
625. Activation Functions
626. Ace Your Data Science Interview in 6 Steps
627. Stanford University Free Online Courses 2022
628. Timeseries in Pycaret
629. Checklist - training deep neural networks
630. 5 Checks during Training of ML Models
631. CS 229 - Supervised Learning Cheatsheet
632. Expert Data Analyst links
633. Learn Go
634. The AWS AI/ML Stack
635. Challau Metaverse
636. Data Quality Attributes
637. Which Visualization
638. How to Become a Data Analyst Intern - Infographic
639. Introduction to Causal Inference
640. AI Bank of Future
641. Atomic Habits
642. The Role of an AI Architect
643. “An Analysis of Deep Learning Neural Networks”
644. Comparing Model Evaluation Techniques
645. 5 open-source frameworks for implementing GANs
646. PregEx : Write Human-Readable Regular Expressions in Python
647. FREE Node.js course
648. Seeing Theory : Statistics more accessible through interactive visualizations
649. Use MLNET to build custom machine learning solutions in dotnet
650. Conversational AI and Chatbot
651. Different Charts
652. 10 Machine Learning Algorithms In Python [A Beginners Guide]
653. Gephi : Visualization and Exploration
654. Transformers are Graph Neural Networks
655. goodrahstar/draw-neural-network:
656. Quick, Draw!
657. Draw Neural Networks in Latex
658. Statistical Tests
659. Graph ordering attention networks
660. Bitcoin Prediction - FB-Prophet outperforms ARIMAX, XGBOOST & LSTM
661. introduction chapter on Geometric Deep Learning
662. Graph Transformer
663. Overview of GTransformer
664. Roadmap to Web3
665. Ace The SQL Interview
666. Summer school on Statistical Physics & Machine learning
667. Reproducible Deep Learning
668. MachineLearning & DeepLearning Concepts Playlist
669. Docker Integration with Other Softwares
670. Deck of slides on GNNs: foundations, challenges, and explainability
671. Structure-Aware Transformer for Graph Representation Learning
672. Machine Learning and Deep Learning frameworks and libraries for large-scale data mining
673. How Graph Neural Networks (GNN) work
674. What’s New in v0.6.2: Continuous Deployment and a fresh CLI
675. Primers on training on neural network
676. 8 Tips of StoryTelling
677. Upgini : Free automated data enrichment library for machine learning
678. Best Practices for Deploying Language Models
679. Distributed System Fundamentals
680. Learn web3 development by Building Projects
681. Adapts The Pretrained Language Image Models To Video Recognition
682. Data Analysis Video Playlists
683. Free Backend Development & Frontend Development Hosting Platforms
684. 6 ways to use Jupyter notebook
685. 21 Cyber Security Search Engines
686. What is Data Governance
687. Skills & Knowledge of Data Management
688. Machine learning systems design
689. Introduction to Machine Learning Interviews Book · MLIB
690. What is DALL-E, DALL-E2?
691. Four major smoothing techniques
692. b7leung/MLE-Flashcards
693. Starting Point of Data science for various people
694. Top Programming Languages of 2022
695. 10 Programming Languages and their efficiency
696. maikherbig/AIDeveloper
697. Los Alamos Claims Quantum Machine Learning Breakthrough
698. How Google uses NLP to better understand search queries, content
699. Essential Charts of Data Analysis
700. CVPR 2022 notes with focus on Medical Imaging
701. Facebook AI Researchers Open-Source ‘LLM.int8()’
702. Data Structure - Cheat Sheet
703. Helpful AI tools for content writing and how to use them
704. PaLM: Scaling Language Modeling with Pathways
705. NLP - Explaining Joke
706. CS388 NLP Course
707. machine learning algorithms, data science infographics
708. Data Science Inteview Questions and Answers Blogs - 360DigiTMG
709. Artificial Neural Network Questions to Test Your Skills
710. 20 Questions to practice for machine learning interviews.
711. GAN from GNN To Correctly Predict the Coherent Orientations of Galaxies
712. Build Machine Learning Pipeline in Python and Deploy on Cloud easily
713. The Rise of Data Contracts
714. Workshop on Autonomous Driving - CVPR 2022
715. Google AI Introduces OptFormer
716. The ML Reproducibility Challenge is back!
717. Textualize/rich: Rich is a Python library for rich text and beautiful formatting in the terminal.
718. 30 Projects Ideas You Can Build to Become a Blockchain & Web3 Master
719. Masked Language Model
720. Which Graph
721. 40 Best Resources to Learn Natural Language Processing [FREE]- 2022
722. ConvNetJS MNIST demo
723. Google video QA
724. PyTorch Data Parallel Best Practices on Google Cloud
725. Causality for Machine Learning
726. Foundations of Causal Inference and its impact on Machine Learning
727. How Artificial Intelligence Is Changing The Law Industry for The Better • LegalScoops
728. Everything you’ve ever wanted to know about machine learning
729. Machine learning for sensors
730. Recent machine learning research tutorial focuses on Learning Theory
731. Top And Easy to use Open-Source Image Labelling Tools for Machine Learning Projects
732. An organized collection of 94 articles with NLP tips
733. Understanding AlphaZero Neural Network’s SuperHuman Chess Ability - MarkTechPost
734. Want to learn more about Meta Learning?
735. Video lectures, UC Irvine CS 275
736. Towards Responsible Data Practices for Machine Learning in India: Health & Agriculture
737. Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast
738. Model Evaluation Metrics in Machine Learning - Nucleusbox
739. 190 Python Projects with Source Code \ by Aman Kharwal \ Medium
740. Dr. Rina Dechter @ UCI
741. TorchStudio, Deep Learning Toolkit
742. Free ML Engineering course
743. First Principles of Computer Vision, Columbia University
744. Are self-driving cars the future?
745. Guide to become Data Scientist
746. 7 Advantage of social media marketing
747. Day 1 of 60 Days of Deep Learning with Projects Series
748. We Automated Attribute Tagging Using Deep Learning Models.(1)
749. 9 Distance Measures in Data Science
750. Comparison of the Text Distance Metrics - DataScienceCentral.com
751. Author coder and VAE
752. Data Strategist - DataScienceCentral.com
753. Machine Learning Perceptron Implementation
754. HiLab-git/SSL4MIS: Semi Supervised Learning for Medical Image Segmentation
755. How do video live streamings work
756. Complete Guide to Data Visualization with Python
757. SDS 603: Geospatial Data and Unconventional Routes into Data Careers
758. 7 tools for labeling of Audio, Image, Video and Textual Data
759. Free ML Engineering course starts on Monday!
760. 12 Free video lectures on Deep Learning
761. What Are The 10 Best AI Consulting Firms
762. YOLOS
763. Top Parallel Processing Python Frameworks Data Scientists must know in 2022
764. Google AI Introduces a New Approach to Video-Text Learning Called Iterative Co-Tokenization
765. Meet Sipeed’s TinyMaix
766. AI/CV/MLOps Tools
767. 5 famous transformer architectures
768. Free courses to Learn Deep Learning
769. 5 interesting #Python Projects with Source Code
770. UnMICST: Deep learning with real augmentation for robust segmentation
771. The First Workshop on Pre-training ICML22
772. Machine Learning Cheatsheets
773. Computational Linear Algebra
774. Guided-Generative Network
775. AlphaCode paper
776. How Do We Design and Develop Human-Centered AI?
777. Diplomacy: The AI Benchmark that Gets Us Closer to the Turing Test
778. ChatGPT vs LaMDA
779. Optimize Sales Funnel and Increase Revenue with Machine Learning
780. Create Observable and Reproducible Notebooks with Hex
781. Stanford Graph Learning Workshop 2022
782. Components of Research Paper
783. Software Design Patterns
784. Software Design Patterns2
785. How to Organize your Research Paper
786. Filter data using multiple columns - Microsoft Power BI Community
787. Edge#194: Masterful AI, the Training Platform for Automated Computer Vision
788. ML Algorithms and Training/Prediction/Space Complexity
789. 12 Actions to improve Data Quality
790. Generative AI Application Landscape
791. MIT Deep Learning 6.S191
792. Welcome to Shapash’s documentation ! — Shapash 2.2.0 documentation
793. Deep Learning Usecases
794. Research Paper Flow
795. Data Science Books
796. MLOps for production-grade ML
797. Westlake University Researchers Propose ‘SimVP,’
798. Drexel University Introduces TorchFL:
799. Optimize Sales Funnel and Increase Revenue with Machine Learning in Python
800. Stanford Engineering Everywhere \ CS223A - Introduction to Robotics
801. Remote job in AI/ML
802. Algorithmic concepts \ Super Study Guide
803. Comprehensive Guide to Zero-Shot and K-Shot Learning
804. Learn Docker in 12 Minutes
805. The subversion process
806. MEND’ For Fast Model Editing At Scale
807. Data Structures and Algorithms
808. Digital Identify, Virtual World, Web3 Technologies
809. Lama Cleaner - Watermark Remover Open source
810. Dig Auto Profiler for Datasets
811. Learn from the best ML courses by Google
812. Basic Git Commands to get started - 14 days of Git
813. #Web3 and #Blockchain development
814. 10 Top MlOps Books for Data Scientists
815. GAN Types
816. Machine learning resources YouTube
817. NLP resources for Indian languages
818. Feature Engineering with Neo4j and SageMaker
819. Books on Productivity Boost
820. 7 FREE Web3 tutorials you need to know:
821. GitHub - dosisod/refurb: A tool for refurbishing and modernizing Python codebases
822. Researchers At IIIT Allahabad Propose T2CI GAN:
823. Deep Learning - UCB Berkeley 2021
824. Automated Machine Learning Hyperparameter Tuning in Python
825. Web3 Development and #Blockchain YouTube Courses
826. Top 10 Resources to get Free Datasets
827. Unsupervised anomaly detection using Anomalib library
828. A Framework for #web3 Infrastructure
829. Why building the metaverse is going to be a ‘thrilling ride’
830. Awesome Diffusion Models
831. 32 Important Datasets to Start Data Science
832. 8 highly appreciated technical posts & videos
833. Salesforce Einstein, future of CRM
834. Machine Learning Models for Object Recognition in Underwater Video Images
835. Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis
836. An introduction to cheminformatics, data analysis and machine learning
837. AI to discover faster matrix multiplication
838. Free Certification Courses in Data Science using Python from IBM.
839. Aerial Vehicles detection Check
840. 14 Data Science Skills
841. How to add a Subdomain in Github Pages- Tutorial 3
842. Another tool won’t fix your MLOps problems \ by David Hershey \ Medium
843. MLOPS is not MLOPS Tools
844. Data science on Google cloud
845. Set of Techniques for Boosting Model Efficiencies
846. Researchers at Activeloop AI Introduce ‘Deep Lake’
847. Big data pipeline on AWS Azure and GCP
848. DSC Webinar Series: How to Create Mathematical Optimization Models with Python
849. Model interpretability
850. Distributed Data Parallel in PyTorch - Video Tutorials
851. AI technologies for marketing
852. Why people give up?
853. Causal inference
854. Thesis Defence Questions
855. Katonic MLOps Platform \ Katonic
856. Neptune vs TensorBoard - neptune.ai
857. Synthetic Data - Machine Learning Techniques
858. Transformer Models
859. How to get better cell phone signal
860. What is GATO?
861. How do Google/Apple maps blur license plates
862. Sales funnel
863. How can banks become #AI/#Metaverse ready?
864. Fraud detection
865. Learn #Web3 for free
866. Digital detox
867. Into the metaverse: How conversational AI will build its experiential foundation
868. Application of iot
869. Hike cycle for artificial intelligence 2022
870. Technology Impact radar for 2022 - Garner
871. Free Websites to practice python
872. Understanding the Frisch-Waugh-Lovell Theorem
873. 5 Data Science and Machine Learning competitions
874. The challenges of adversarial machine learning in constrained-feature applications
875. Hardware for Machine Learning spring 2021
876. FindIt: Generalized Object Localization with NaturalLanguage Queries
877. Serverless architecture
878. Metaverse trends by Gartner
879. Elements of metaverse
880. How I prepared for DeepMind and Google AI research
881. 38 Free Courses on Coursera for Data Science You Must Know in 2022
882. Use machine learning to win the market.
883. Data Maturity Model
884. AR vs VR
885. Building-mlops-pipeline-problems.jpg
886. AI/ML Tools and Categories
887. free resources for learning Python and Data Science
888. Best System design resources
889. Building blocks of Data Science Project
890. Jaided AI: EasyOCR documentation
891. Developer-Y/cs-video-courses: List of Computer Science courses with video lectures.
892. Google AI Blog: Identifying Disfluencies in Natural Speech
893. Mastery in coding for data science is daily practice.
894. Research Paper Format
895. Computer Vision Research at Google and Boston University Proposes ‘DreamBooth,’
896. 3 Free Data science books for reference and learning.
897. Google sheet in Python Pandas
898. gspread library
899. Python vs Ruby
900. How to Read Research Abstract
901. Cost of AI Project and Estimating the Delivery Time - Addepto
902. Top 10 Open-Source Cybersecurity Project Ideas for Beginners
903. Top 10 Datasets For Cybersecurity Projects One Must Know
904. Top 7 cybersecurity projects for beginners - Great Learning
905. jivoi/awesome-ml-for-cybersecurity: Machine Learning for Cyber Security
906. Sipeed’s TinyMaix Puts MNIST Digit Recognition on a Modest Microchip ATmega328 Microcontroller
907. Model Fitting and Line of Regression
908. The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
909. Data Visualization Types: Everything a Marketer Needs to Know - TapClicks
910. Bitcoin Prediction - Using FBProphet
911. How to Generate Images from Text with Stable Diffusion Models
912. 5 Exploding Areas Of The Metaverse That May Not Be On Your Radar Yet
913. Top free Books to Learn Data Science
914. Reading a Scholarly Article
915. Machine Learning Algorithms
916. Organizational Framework to Exploit the Data
917. AI artist who won competition says art world is ‘in denial’ about the tech
918. University of Washington MATH 340 Abstract Linear Algebra Summer 2020
919. Important links for writing research articles
920. Geometric Deep Learning - AMMI
921. Creating Mathematical Animations in Python using Manim -
922. Necessary libraries for Manim
923. manim library
924. Professional AI whisperers have launched a marketplace for DALL-E prompts
925. Dealing with Outliers Using Three Robust Linear Regression Models
926. solar Power and Surface Area Required
927. Cost of defect Leakage
928. 5WH of Data Engineering
929. A Novel Approach to Creating Tailored Odors and Fragrances Using Machine Learning
930. Reservoir of data science and machine publications
931. How to Download, Install and Use Nvidia GPU For Tensorflow
932. Techniques for Training Large Neural Networks
933. microsoft/ML-For-Beginners - lassic Machine Learning for all
934. SigmaQuan/Better-Python-59-Ways:
935. Top 20 Linked List Coding Problems
936. How Wireless Charger Works
937. Probability summary
938. Causal Inference and Statistical Inferencel
939. Why Zomato is goldmine
940. Quantum information science
941. AI Problems
942. AI governance framework
943. Agile Scrum Resources
944. Weather Data
945. How to built Positive Team Culture
946. Key Factors for Successful Goal Achievement
947. Application of Stats
948. Future of AI
949. what to do when I make a mistake
950. A new model that automatically generates movie trailers
951. Software Professions
952. Password Breaking Time
953. Adjacent Numbers in a Perfect Square 1-32
954. Evolution of Standard Oil
955. Watch Me Build an AI Startup
956. ML Frameworks/Tools
957. Data Science Project Stages
958. Machine Learning Resources
959. Understanding Skewed Distribution
960. Google Search Tech
961. Machine Learning Classical vs Quantum
962. New England Complex Systems Institute
963. Google Cloud Next