Data Science, AI, ML, eBooks, PDF Books
All these books are available in pdf format at this link. I update this page less frequently but keep adding books in the repo. The list below may not contain the name you are looking for. Therefore, it is suggested to visit the link mentioned earlier. This link contains excellent presentations Book, (PPT), Handbook, Report, Articles (ARTC), Book, Booklet, eBook, Notebook, Notes, PAPER, GUIDE, TOC, Syllabus, LINKS, Handbook, Chapter, Tool, BROC – Broacher on Machine Learning, Deep Learning, NLP, Statistics, Reinforcement Learning, GAN. 560+ pdf files, 400+ books.
If you want to search all the books on above link then in the search box at above link you can enter “Book”. Similarly if you looking for research paper you can type Paper”. This repository also has some important AI/ML research paper.
- 10 Keys to AI Success in 2021-by-DataRobot-PPT.pdf
- 10 Useful Way To Visualize Your Data-GUIDE.pdf
- 100 Numpy Exercises-NOTEBOOK.pdf
- 100 Pandas Exercises-NOTEBOOK.pdf
- 13 Data Science Questions for DS Project-PPT.pdf
- 19 Slides on AI, AI-Ethics, and XAI – Murat Durmus-PPT.pdf
- 2021 Executive Guide to Data Science and AI-GUIDE.pdf
- 2022-AI-Index-Report_Master-REPORT.pdf
- 33-Ways-to-Tableau-by-Ryan-Sleeper-PPT.pdf
- 38 Free Courses on Coursera for Data Science-PPT.pdf
- 50 YearsDataScience-REPORT.pdf
- 50-Ways-Impact-Business-AI-RapidMiner-REPORT.pdf
- 83+Datasets from Google-PPT.pdf
- 9 Best practices every Data Science leader should follow-PPT.pdf
- A brief guide for Data Cleaning-NOTE.pdf
- A Collection of 10 free ‘Springer’ Books-LINKS.pdf
- A Comprehensive Guide to Machine Learning-BOOK.pdf
- A Comprehensive Survey on Graph Neural Networks-PAPER.pdf
- A Concrete Introduction to Higher Algebra-BOOK.pdf
- A course in Time Series Analysis-eBook.pdf
- A Framework For The Ethical Use Of Advanced Data Science in Humanitarian Sector-GUIDE.pdf
- A Guide for Ethical Data Science-GUIDE.pdf
- A guide to using AI in the public sector-GUIDE.pdf
- A list with over 150 Biases (Cognitive, Social, & Memory)-REPORT.pdf
- A practical guide for testing for DEVOPS.pdf
- A Practical Guide to Getting Started with DevOps-REPORT.pdf
- A Programmers Guide to Data Mining-BOOK.pdf
- A Selective Overview of Deep Learning-PAPER.pdf
- A Short introduction to boosting-PAPER.pdf
- A Survey of the State of Explainable AI for NLP-PAPER.pdf
- A Survey on Explainable AI (XAI) towards Medical XAI-PAPER.pdf
- A Visual Introduction to Deep Learning-GUIDE.pdf
- A-Brief-Introduction-NeuralNetwork-by-DavidKriesel-BOOK.pdf
- A-Gentle-Introduction-to-Optimization-eBook.pdf
- Advance Introduction to Machine Learning CMU-PPT.pdf
- Advanced Analytics with Spark-BOOK.pdf
- Advanced Data Analysis from an Elementary Point of View-BOOK.pdf
- Advanced Deep Learning with TensorFlow2-BOOK.pdf
- Advanced Python Tips-BOOK.pdf
- Advancing mathematics by guiding human intuition with AI-ARTC.pdf
- Advantages & Disadvantages of k-Means and Hierarchical clustering-PPT.pdf
- Agile-AI-REPORT.pdf
- AI An Introduction to the Legal, Policy & Ethical Issues-REPORT.pdf
- AI and Education-REPORT.pdf
- AI and Ethics – Operationalising Responsible AI-PAPER.pdf
- AI for Data Science-eBOOK.pdf
- Algorithmic Aspects of Machine Learning-BOOK.pdf
- Algorithms for Decision Making-BOOK.pdf
- Algorithms for Decision Making-eBOOK.pdf
- Algorithms-Notes-For-Professionals-NOTES.pdf
- All-Of-Statistics-A-Concise-Course-in-Statistical-Inference_by_Larry-BOOK.pdf
- Amazon Machine Learning-Developer Guide-TOOL.pdf
- An Introduction to Cloud Databases-REPORT.pdf
- An Introduction to Data – Everything You Need to Know about AI and Bigdata-eBOOK.pdf
- An Introduction to Statistical Learning with Application in R-BOOK.pdf
- An-Introduction-To-Machine-Learning-byMiroslav-BOOK.pdf
- Analyzing The Expressive Power of Graph Neural Network in a Spectral Perspective-PAPER.pdf
- Analytics in a Big Data World The Essential Guide to Data Science and its Applications-BOOK.pdf
- An_Introduction_to_Genetic_Algorithms-BOOK.pdf
- Approaching (Almost) Any Machine Learning Problem-eBOOK.pdf
- Artificial Intelligence for a Better Future- An Ecosystem Perspective on the Ethics of AI-BOOK.pdf
- Automated Machine Learning Methods, Systems, Challenges-BOOK.pdf
- Awesome Visualization Techniques for every dataset-NOTEBOOK.pdf
- AWS Admin HANDBOOK.pdf
- AWS lens – Machine Learning Lens-TOOL.pdf
- AWS Short Notes-TOOL.pdf
- Azure ML-NOTEBOOK.pdf
- Azure Storage Services-TOOL.pdf
- Azure-ComputerVision_Jun2021-eBOOK.pdf
- A_Comprehensive_Guide_for_Visualization-PPT.pdf
- A_Course_in_Machine_Learning_byHalDaume-BOOK.pdf
- Basics of cloud computing-PPT.pdf
- Bayes theorem_A_Visual_Introduction_for_Beginner-eBOOK.pdf
- Bayesian Reasoning and Machine Learning-BOOK.pdf
- BAYESUVIUS-A_Visual_Dictionary_of_Bayesian _Networks_and_Causal_Inference-BOOK.pdf
- Baysian Reasoning & Machine Learning-BOOK.pdf
- BD-Planning-for-big-data-CIO-HANDBOOK.pdf
- Beginners Guide to Analytics-GUIDE.pdf
- Beginners_guide_to_data_science-_a_twics_guide-PPT.pdf
- Best Practices for ML Engineering-REPORT.pdf
- Big Data Analytics Overview-REPORT.pdf
- Big Data-Casestudy Collection-REPORT.pdf
- BigBook-Experimentation-Casestudies-PPT.pdf
- Bigdata-Hadoop and Spark-Performance-for-the-enterprise-REPORT.pdf
- Box Plot and Identifying Outliers-PPT.pdf
- Bright Data’s Solution Diagram-GUIDE.pdf
- Building Data Science Teams-REPORT.pdf
- Building Intelligent Apps with Cognitive APIs-BOOK.pdf
- Building_effective_dashboards-ARTC.pdf
- Business Analyst HANDBOOK.pdf
- C++ Tutorial-NOTES.pdf
- Cambridge_International_AS__A_Level_Mathematics_Probability_and_Statistics_1-BOOK.pdf
- Career guide for product managers-GUIDE.pdf
- Challenges in Deploying Machine Learning-PAPER.pdf
- Chapter1-KocovicRadenkovic-doi-BOOK.pdf
- Chatbot HANDBOOK.pdf
- Clinical AI quality improvement-PAPER.pdf
- Cloud Application Architecture-PPT.pdf
- Cloud Choices for Microsoft Project 2013 and 2010-F-3.2013-ARTC.pdf
- Comet-Standardizing-ML-Experiment-REPORT.pdf
- Communication Skills-REPORT.pdf
- Communications Skills for Managers-GUIDE.pdf
- Complete-Data Structures and Algorithms Roadmap-REPORT.pdf
- Complete_Machine_learning_Notes_from_Andrew_Ng-NOTEBOOK.pdf
- Comprehensive & Practical Inferential Statistics Guide-GUIDE.pdf
- COMPREHENSIVE GUIDE TO INTERVIEWS FOR DATA SCIENCE.pdf
- Computer Age Statistical Inference-BOOK.pdf
- Computer Vision Algo & Applications-by-Szeliski-BOOK.pdf
- Computer Vision Model, Learning and Inference-BOOK.pdf
- Computer Vision Projects-PPT.pdf
- Computing Neural Network Gradients-REPORT.pdf
- Core Principle of Data Visualization-GUIDE.pdf
- Cost of Data Breach Study 2020 byIBMSecurity-REPORT.pdf
- CS725 – Foundations of Machine learning – Lecture Notes.pdf
- Dashboards in Python-TOOL.pdf
- Data Analytics Pipeline-PPT.pdf
- Data Cleaning Resource-GUIDE.pdf
- Data Driven Creating a Data Culture-ARTC.pdf
- Data Engineering Fundamentals-NOTES.pdf
- Data Governance Clinic-REPORT.pdf
- Data Integration-Introduction-PPT.pdf
- Data Mesh Book-TOC.pdf
- Data Mining Process, Techniques, Tools-ARTC.pdf
- Data Modeling for Data Engineers-PPT.pdf
- Data Science Applications & use Cases-PPT.pdf
- Data Science Course for beginners-eBOOK.pdf
- Data Science for Busines_by_FosterProvost_TomFawcett-BOOK.pdf
- Data Science from Scratch-BOOK.pdf
- Data Science in Marketing Analytics BOOK.pdf
- Data Science Open Toolkit-PPT.pdf
- Data science skills-PPT.pdf
- Data Science Tools-GUIDE.pdf
- Data Strategy- NOTES.pdf
- Data Structures and Algorithms Roadmap-REPORT.pdf
- Data Structures And Algorithms With Python-BOOK.pdf
- Data Visualization 101-How_to_Design_Charts_and_Graphs-PPT.pdf
- Data Visualization in R-PPT.pdf
- Data Visualization in Society-BOOK.pdf
- Data Visualization with R-PPT.pdf
- Data Visualization-storytelling-REPORT.pdf
- Data Visualization1- How to Pick the Right Chart Type-REPORT.pdf
- Data Visualization2- How to Pick the Right Chart Type-REPORT.pdf
- Data Visualization_Grossberg_lecture1-PPT.pdf
- Data Visualisation-Advanced_Plotting-PPT.pdf
- Data Warehouse Concepts-ARTC.pdf
- Data-Career-Skills-Checklist.pdf
- Data-visualization-made-simple-SosulskiKristen-BOOK.pdf
- DataGovernance-A conceptual framework, structured review-PAPER.pdf
- DataScienceBooks-NOTES.jpg
- Data_Analytics-Practical_Guide-BOOK.pdf
- Data_preparation_for_data_mining-NOTES.pdf
- Data_Science_from_Scratch_by_GoelGrus_BOOK.pdf
- Decision Trees-NOTES.pdf
- Deep Adversarial Learning for NLP-PPT.pdf
- Deep Fake-PPT.pdf
- Deep Learning Cookbook-BOOK.pdf
- Deep Learning for Dummies-BOOK.pdf
- Deep Learning for NLP.pdf
- Deep Learning for Understanding Consumer Histories-NOTE.pdf
- Deep Learning in Medical Image Analysis-PPT.pdf
- Deep Learning on Graphs for NLP-PPT.pdf
- Deep learning theory lecture notes – Advanced Topics-NOTES.pdf
- Deep Learning with Azure-BOOK.pdf
- Deep Learning with Python-BOOK.pdf
- Deep Learning-by-JohnKelleher-MIT-Press-BOOK.pdf
- Deep Learning-From-Basics-to-Practice-by-AndrewGlassner-CHAPTER.pdf
- Deep Learning-NOTES.pdf
- Deep Reinforcement Learning-BOOK.pdf
- Deep-Learning-BOOK.pdf
- Deep-Learning-Interviews-Problem & Solutions-BOOK.pdf
- Deep-Learning-with-PyTorch-BOOK.pdf
- Deep_Learning-by-IanGoodfellow-TOC.pdf
- Deep_Learning_Methods_and_Applications-BOOK.pdf
- Deep_learning_with_python_mini_course-SYLLABUS.pdf
- Designing The SIEM Monitoring Environment-PPT.pdf
- Detailed human avatar-PAPER.pdf
- Detecting Damaged And Undamaged During Hurricane-NOTEBOOK.pdf
- Developmental Neurobiology-BOOK.pdf
- DevOps Complete Package .pdf
- DevOps Training Content-TOC.pdf
- Digital Entrepreneurship Impact on Business and Society-BOOK.pdf
- Digital Image Processing Introduction-GUIDE.pdf
- Discrete Mathematics-Book.pdf
- Dive into Deep Learning-BOOK.pdf
- Docker & Python-PPT.pdf
- DRIFT_26_CameraReadySubmission_NeurIPS_DRL-PAPER.pdf
- DS Portfolio 101-PPT.pdf
- DSA Preparation-BinaryTree-NOTES.pdf
- Dynamic Routing Between Capsules-PAPER.pdf
- Dynamical Systems with Applications using Python-BOOK.pdf
- Easy and Quick guide to Statistics of Machine Learning-GUIDE.pdf
- EDA the right way-BOOK.pdf
- Efficient Learning Machines-BOOK.pdf
- Email Sentences and Phrases in Different Situations-GUIDE.pdf
- Emotions Detection From Text Using LSTM NLP network-NOTEBOOK.pdf
- Ensemble Learning-PPT.pdf
- Essentials-of-Business-Analytics-BOOK.pdf
- Ethical Considerations and Statistical Analysis of Industry Involvement in ML Research-REPORT.pdf
- Ethics & Governance of Artificial Intelligence for Health by WHO-GUIDE.pdf
- Evaluating ML Model-BOOK.pdf
- Excel-Advanced_Excel_Charts_byTP-BOOK.pdf
- Excel-This-isnt-excel-it-is-magic-BOOK.pdf
- Excel2010_byTP-BOOK.pdf
- Excel_charts_TP-BOOK.pdf
- Excel_Data_Analysis_TP-BOOK.pdf
- Excel_macros_byTutorialPoint-BOOK.pdf
- Excel_power_pivot_byTP-BOOK.pdf
- Executive Data Science-GUIDE.pdf
- Expert’s Way To Search On Google-NOTES.pdf
- Explaining decisions made with AI-BOOK.pdf
- Exploratory Data Analysis-NOTEBOOK.pdf
- Exploring Data Science-BOOK.pdf
- Fairness in Machine Learning A Survey-PAPER.pdf
- Feature Engineering Made Easy-BOOK.pdf
- Feature Engineering-PPT.pdf
- Fighting depression and mental illness with AI-NOTES.pdf
- Flask API-PPT.pdf
- Flask_Web_Development_Developing-BOOK.pdf
- fluent-python-BOOK.pdf
- Forecast Time Series Data Using Deep Learning-NOTES.pdf
- Forecasting COVID-19 Confirmed Cases-PAPER.pdf
- Foundations of Data Science-REPORT.pdf
- Foundations of Reinforcement Learning with Applications in Finance_by_AswinRao-BOOK.pdf
- FourthBrain MLE-Jan2022-SYLLABUS.pdf
- Free ML AI resources by DeepMind-LINKS.pdf
- Fundamentals of Deep Learning-byNikhil-BOOK.pdf
- fundamentals-of-mlops-REPORT.pdf
- GAN-PPT.gslides
- GDPR_Developer_Guide-PPT.pdf
- Generalization Beyond Overfitting On Small Datasets-PAPER.pdf
- Getting Analytics Right-REPORT.pdf
- Getting Started With Tensorflow-BOOK.pdf
- Getting Your First Job in Data Science-REPORT.pdf
- Getting_Started-with-Artificial_Intelligence-REPORT.pdf
- Git Notes For Professionals-REPORT.pdf
- Git Tutorial Book.pdf
- GNN-based-Fraud Detection-PPT.pdf
- Going Pro in Data Science-eBOOK.pdf
- Graph Database for Beginners-GUIDE.pdf
- Graph Representation Learning-BOOK.pdf
- Graph Theory with Applications by BondyMurty-BOOK.pdf
- GraphDatabase_ML-PPT.pdf
- GraphMachine Learning NeurIPS 2020-PAPER.pdf
- Graph_Algorithms_Spark & Neo4j-BOOK.pdf
- Grokking Algorithms-BOOK.pdf
- Grouped Convolutional Neural Networks for Multivariate Time Series -PAPER.pdf
- Grouped functional time series forecasting An application to age-specific mortality rates-PAPER.pdf
- Guide to Machine Learning Pipelines-GUIDE.pdf
- Hand Gesture Recognition Algorithm-NOTEBOOK.pdf
- Handbook_of_Formulae_and_Constants-GUIDE.pdf
- Hands On Machine Learning with Scikit Learn and TensorFlow-BOOK.pdf
- Hands on Machine Learning with Scikit-Learn, Keras & TensorFlow-BOOK.pdf
- Hands-On Python Tutorial-BOOK.pdf
- Hands-on-machine_Gueron-BOOK.pdf
- Hidden Markov Model-CHAPTER.pdf
- Hidden Technical Debt in Machine Learning Systems-PAPER.pdf
- Hierarchical Clustering Dendrograms-REPORT.pdf
- How to avoid machine learning pitfalls-PAPER.pdf
- How to forecast Time Series Data using Deep Learning-ARTC.pdf
- How to Read a Paper-ARTC.pdf
- How to Read the abstract-GUIDE.pdf
- How to write a professional emails in English-eBOOK.pdf
- How-data-science-is-transforming-health-care-ARTC.pdf
- How-to-Create-an-AI-Center-of-Excellence-for-Enterprise-ARTC.pdf
- Identifying machine learning techniques for classification of target advertising-PAPER.pdf
- Image Classification Using Keras and Tensorflow -NOTEBOOK.pdf
- Improving Deep Neural Networks-NOTES.pdf
- Improving ICS Cybersecurity with Defense-In-Depth Strategies-REPORT.pdf
- Information Theory, Inference, and Learning Algorithms-BOOK.pdf
- Intro to Probability for Data Science-BOOK.pdf
- Introducing Microsoft Power BI-BOOK.pdf
- Introducing MLOps by Orelly-eBOOK.pdf
- Introducing MLOPS-How to Scale Machine Learning in the Enterprise-BOOK.pdf
- Introduction to algorithm by MIT Press-BOOK.pdf
- INTRODUCTION TO DATA SCIENCE.pdf
- Introduction to Docker and Docker Swarm-PPT.pdf
- Introduction to DS-PPT.pdf
- Introduction to Machine Learning with Python-BOOK.pdf
- Introduction to Machine Learning-BOOK.pdf
- Introduction to Probability and Statistics for Engineers and Scientists-BOOK.pdf
- Introduction to Probability for Data Science-BOOK.pdf
- Introduction to Programming in Python-TOOL.pdf
- Introduction to Scientific Programming with Python-BOOK.pdf
- Introduction to Statistical Learning TOC.pdf
- Introduction_to_algorithms-3rd Edition-BOOK.pdf
- Introduction_to_Applied_Linear_Algebra-BOOK.pdf
- Introductory-Business-Statistics-with-Interactive-Spreadsheets-BOOK.pdf
- Jumpstart Tableau-BOOK.pdf
- Kaggle State of Machine Learning & Data Science 2021-PPT.pdf
- Kanban vs Scrum-NOTES.pdf
- Keyboard Shortcuts for Data Scientists-GUIDE.pdf
- Knowledge_Graphs_Data_in_Context_Responsive-REPORT.pdf
- Kubernetes Introduction-PPT.pdf
- Large Object Storage in a Database or a Filesystem-PAPER.pdf
- Learn Keras for Deep Neural Networks-BOOK.pdf
- Learn Python in One Day and Learn It Well byJamieChan-BOOK.pdf
- Learning Graph Heuristic Search-PAPER.pdf
- Learning latent causal graphs via mixture oracles-PAPER.pdf
- Learning OpenCV 3 Computer Vision with Python-BOOK.pdf
- Learning Pandas-BOOK.pdf
- Learning Predictive Analytics with Python-BOOK.pdf
- Learning PySpark-BOOK.pdf
- Learning SQL book from Stakeoverlow-eBOOK.pdf
- Learning the parts of Objects by Non-negative Matrix Factorization-ARTC.pdf
- Learning to Love Data Science-BOOK.pdf
- Lecture Notes in_Machine Learning-byKrishnaChandra-BOOK.pdf
- Lecture Notes on Probability and Statistics-NOTES.pdf
- LightGBM A Highly Efficient Gradient Boosting-PAPER.pdf
- Linear Algebra-BOOK.pdf
- Linear Algebra- a Powerful Tool in Data Science-ARTC.pdf
- Linear Algebra-PPT.pdf
- Logging and Debugging-NOTEBOOK.pdf
- Logistic Regression- A Self-learning Text, Third Edition-BOOK.pdf
- Loss Functions and Metrics-PPT.pdf
- Machine Learning and data mining Lecture-NOTES.pdf
- Machine Learning and Security_ Protecting Systems with Data and Algorithms-BOOK.pdf
- Machine Learning Cheat Sheet-GUIDE.pdf
- Machine Learning for Everyone-GUIDE.pdf
- Machine Learning for Humans-BOOK.pdf
- Machine Learning From Scratch-REPORT.pdf
- Machine Learning God byStefanStavrev-BOOK.pdf
- Machine Learning in Python Essential Techniques-BOOK.pdf
- Machine Learning Observability Checklist-REPORT.pdf
- Machine Learning plus Intelligent Optimization-full-BOOK.pdf
- Machine learning with limited data-GUIDE.pdf
- Machine Learning with Limited Data-REPORT.pdf
- Machine Learning with Python for Everyone-GUIDE.pdf
- Machine Learning within a Graph Database- A Case Study on Link Prediction for Scholarly Data-PAPER.pdf
- Machine+Learning+Dev+Ops+Engineer+Nanodegree+Program-TOC.pdf
- Machine-learning-cheat-sheet-GUIDE.pdf
- Machine-Learning-Yearning-by-AndrewNG-BOOK.pdf
- Machine_Learning_1s_Course_for_Engineers_and_Scientists-BOOK.pdf
- Machtematics for Machine Learning-REPORT.pdf
- Make-AI-BI-Work-at-Scale-by-15Leaders-BOOK.pdf
- Management Consulting-Case Interview Workbook-REPORT.pdf
- Manning Deep Reinforcement Learning in Action-BOOK.pdf
- Manual For Data Science Projects-NOTES.pdf
- Mastering Machine Learning with Python in Six Steps-BOOK.pdf
- Mastering Machine Learning with scikit-learn-BOOK.pdf
- Mastering Matplotlib-TOOL.pdf
- Mastering Pandas for Finance-BOOK.pdf
- Mastering Pandas-BOOK.pdf
- Mastering Python For Data Science-BOOK.pdf
- Mastering Python Regular Expressions-BOOK.pdf
- Math of Deep Learning Neural Networks-REPORT.pdf
- Mathematical Foundations of Data Sciences-BOOK.pdf
- Mathematics_for_Machine_Learning-BOOK.pdf
- Mathematics for Machine Learning-BOOK.pdf
- Matplotlib for Python Developers-TOOL.pdf
- Maximum Likelihood Estimation-CHAPTER.pdf
- Merlion- A Machine Learning Library for Time Series-PAPER.pdf
- Microsoft .NET Framework 4.5 Quickstart Cookbook-BOOK.pdf
- Microsoft Azure Handbook-GUIDE.pdf
- Microsoft Security Best Practices-GUIDE.pdf
- Microsoft System Center – Deploying HyperV with Software Defined Storage and Networking-BOOK.pdf
- MicrosoftPress-Azure Machine Learning-eBook.pdf
- MicrosoftPress-Data Science with Microsoft SQL Server 2016.-eBook.pdf
- MicrosoftPress-Developing Business Intelligence Apps for SharePoint-BOOK.pdf
- MicrosoftPress_Azure_Automation-eBOOK.PDF
- MicrosoftPress_Azure_Web_Apps_for_Developers-eBook.pdf
- MicrosoftPress_Building_Cloud_Apps_with Microsoft_Azure-eBook.pdf
- MicrosoftPress_CreatingMobileAppswithXamarinForms-eBook.pdf
- MicrosoftPress_Introducing_Azure-ebook.pdf
- MicrosoftPress_Introducing_HDInsight-eBook.pdf
- MicrosoftPress_Introducing_Microsoft_SQL_Server_2014-ebook.pdf
- MicrosoftPress_Introducing_Power_BI-ebook.pdf
- MicrosoftPress_Introducing_Windows_10-eBook.pdf
- MicrosoftPress_Introducing_Windows_ITPro-ebook.pdf
- MicrosoftPress_Managing_Agile_Software_Projects-eBook.pdf
- MicrosoftPress_Microsoft_Platform_and_Tools_for_Mobile_App_Development-eBook.pdf
- MicrosoftPress_NET_Technology_Guide_for_Business_Applications-eBook.pdf
- MicrosoftPress_Programming_Windows_8_Apps_HTML_CSS_JavaScript_2E-eBook.pdf
- Migrating BigData Analytics into the Cloud-REPORT.pdf
- Mining_Of_Massive_Datasets-BOOK.pdf
- ML applications in marketing-PPT.pdf
- ML applications in retail-PPT.pdf
- ML for Absolute Beginners-REPORT.pdf
- MLOps and data versioning in ML Projects-ARTC.pdf
- MLOps Guide from Google-GUIDE.pdf
- Models of Learning and Optimization for Data Scientists-NOTEBOOK.pdf
- MongoDB with Python-NOTEBOOK.pdf
- Move your data science to production-Saturn Cloud-REPORT.pdf
- MySQL Notes For Professionals-BOOK.pdf
- National AI Strategies and Human Rights- A Review-REPORT.pdf
- Natural Language Processing Recipes-BOOK.pdf
- Natural_Language_Processing_with_Python-BOOK.pdf
- Neo4j_Graph_Algorithms-BOOK.pdf
- Neural Networks And Deep Learning-BOOK.pdf
- Neural Networks-NOTE.pdf
- NeuralProphet-Explainable Forecasting at Scale-PAPER.pdf
- Nine Emerging Python Libraries for Data Science-NOTES.pdf
- NLI-Tutorial-PPT.pdf
- NLP-Panini-Perspective-BOOK.pdf
- Numerical Python a Practical Techniques Approach for Industry-BOOK.pdf
- OLAP vs OLTP-PPT.pdf
- OLTP vs OLAP-ARTC.pdf
- Open Data Structures-BOOK.pdf
- Open Data Structures_ An Introduction-BOOK.pdf
- Optimization for Machine Learning-NOTES.pdf
- Outlier Detection-PPT.pdf
- Over 100 Data and Analytics Predictions Through 2025-ARTC.pdf
- Pandas – Powerful Python data analysis-NOTEBOOK.pdf
- Pandas at one place-NOTEBOOK.pdf
- Pandas-10min-NOTEBOOK.pdf
- Patterns, Predictions, And Action – A story about Machine Learning-BOOK.pdf
- PAVE-Lazy-MDP based Ensemble to Improve Recall of Product Attribute Extraction Models-PAPER.pdf
- PC Architecture-BOOK.pdf
- Phynance-TOC.pdf
- Plotly-NOTEBOOK.pdf
- Policy Guide on AI for Children-GUIDE.pdf
- Power BI – Step by step training -GUIDE.pdf
- Power BI for Beginners-NOTES.pdf
- Power BI Tutorial-PPT.pdf
- PowerBI for Intermediates-GUIDE.pdf
- Practical SQL A Beginner’s Guide to Storytelling with Data-BOOK.pdf
- Practical Statistics for Data Scientists-BOOK.pdf
- Practical Statistics_Visualization With Python _ Plotly-ARTC.pdf
- Practical Time Series Analysis Prediction with Statistics and Machine Learning-BOOK.pdf
- Practitioners Guide for MLOPS – Google Cloud-GUIDE.pdf
- Practitioners Guide to MLOPS by GoogleCloud-GUIDE.pdf
- Presenting_Data_People_Cannot_Ignore-REPORT.pdf
- Presenting_Data_People_Cant_Ignore_PPT.pdf
- Principles of Data Analysis By Prasenjit Saha-REPORT.pdf
- Principles of Data Wrangling-BOOK.pdf
- Pro Python System Administration-BOOK.pdf
- Probability & Statistics with Applications to Computing-BOOK.pdf
- Probability and Statistics for Data Science-BOOK.pdf
- Probability and Statistics for Engineers and Scientists_bySheldonRoss-BOOK.pdf
- Probability-GUIDE.pdf
- Production Machine Learning For Dummies-BOOK.pdf
- Programmers Guide to Data Mining The Art of the Numerati-BOOK.pdf
- Programming Hive-BOOK.pdf
- Proper Clustering Problem using K-means and Hierarchical-NOTEBOOK.pdf
- Python – Intermediate-BOOK.pdf
- Python 3 for Absolute Beginners-BOOK.pdf
- Python AI Projects for Beginners-8 smart and exciting AI applications-BOOK.pdf
- Python Data Science Essentials-BOOK.pdf
- Python Data Science Handbook-BOOK.pdf
- Python for Data Analysis- Wrangling with Pandas, Numpy and IPython-BOOK.pdf
- Python For Everybody-BOOK.pdf
- Python For Kids-BOOK.pdf
- Python for NLP-PPT.pdf
- Python HANDBOOK.pdf
- Python Machine Learning and Deep Learning with scikit-learn, and TensorFlow-BOOK.pdf
- Python Machine Learning Cookbook_Practical Solutions from Preprocessing to Deep Learning-BOOK.pdf
- Python Machine Learning Projects-BOOK.pdf
- Python Notes For Professionals-BOOK.pdf
- Python Programming for Beginner-by Michael Daswon-BOOK.pdf
- Python programming for everyone-BOOK.pdf
- Python Tricks-BOOK.pdf
- Python_Cheat Sheet-NOTEBOOK.pdf
- Pytorch-TOC.pdf
- QC Paulinesia – Quantum Computing-GUIDE.pdf
- Quality Measuring Tools-REPORT.pdf
- Quantum computing Emerging ecosystem & Industry use cases-REPORT.pdf
- Quantum Computing-BOOK.pdf
- Quantum Computing_Progress and Prospects-BOOK.pdf
- Quantum Mechanics-Fall2021 Lecture Notes by BarakShoshany-BOOK.pdf
- Query_Optimization_Techniques-PPT.pdf
- Query_Optimization_Techniques1-PPT.pdf
- R Programming for ANY Team-REPORT.pdf
- Randomforest-PAPER.pdf
- README.md
- Real Time BigData Analytics Emerging Architecture-REPORT.pdf
- Receptive Fields of Single Neurones in the Cats Striate Cortex-PAPER.pdf
- Reference for choosing right data visualization-GUIDE.pdf
- Regular Expressions Cookbook-BOOK.pdf
- Regulate to Innovate-REPORT.pdf
- Reinforcement Learning.pdf
- Reinforcement Learning2020-BOOK.pdf
- Reinforcement-Learning-An-Introduction-BOOK.pdf
- Relevance and impact of AI for company law-REPORT.pdf
- Research-Methods-in-Psychology-BOOK.pdf
- Resources for Datascientists-TOC.pdf
- Resources to Learn AI-LINKS.pdf
- Resumes and Cover Letters-GUIDE.pdf
- Review of Probability Theory-REPORT.pdf
- Robotics, AI, and Humanity Science-PAPERS.pdf
- Robustness and Explainability of Artificial Intelligence-REPORT.pdf
- ROC Graphs- Notes and Practical Considerations for Researchers-GUIDE.pdf
- Scalable Linear Algebra on a Relational Database System-PAPER.pdf
- Scaling Large Production Clusters-PAPER.pdf
- Semantic Layer for Data Analytics-REPORT.pdf
- Seven Databases in Seven Weeks-NOTES.pdf
- SGBoost-PPT.pdf
- Simplifying Machine Learning with PyCaret-TOOL.pdf
- Skewness-PPT.pdf
- Skillful writing of an awful research paper-GUIDE.pdf
- Speech and Language Processing-BOOK.pdf
- Springer Ebooks-LINKS.pdf
- Springer Ebooks-NOTES.pdf
- Springer-LINKS.pdf
- SQL API with Python-NOTEBOOK.pdf
- SQL Complete-NOTES.pdf
- SQL for Data Analysis by CathyTanimura-BOOK.pdf
- SQL for Data Science by AntoniaBadia-BOOK.pdf
- SQL Free eBOOK.pdf
- SQL Nulls-PPT.pdf
- SQL Tutorial-NOTES.pdf
- Standard Normal Probabilities-GUIDE.pdf
- Starting a Career in Data Science-REPORT.pdf
- Statistical foundations of machine learning-BOOK.pdf
- Statistical Modeling- The Two Cultures-REPORT.pdf
- Statistical Patterns Recognition_PPT.pdf
- Statistics & Machine Learning in Python-BOOK.pdf
- Statistics and Machine Learning in Python-BOOK.pdf
- Statistics for Machine Learning-BOOK.pdf
- Statistics Machine Learning in Python-BOOK.pdf
- Statistics Notes-Day1-NOTE.pdf
- Statistics_Cartoon_Guide-BOOK.pdf
- Statistics_With_Julia_Fundamentals for Data Science, Machine Learning and AI-BOOK.pdf
- Statistics Demystified-BOOK.pdf
- STREAMING WITH Publish Subscribe Messaging with Kafka-PPT.pdf
- Super-study-guide-data-science-tools-REPORT.pdf
- Supervised Learning-GUIDE.pdf
- Supervised Machine Learning – Lecture Notes for Statistical Machine Learning-BOOK.pdf
- Supervised Machine Learning-BOOK.pdf
- Supplementary Material for _Probabilistic Machine Learning-Advanced Topics-BOOK.pdf
- Support Vector Machine-PPT.pdf
- System Design Basics Handbook-NOTES.pdf
- Tableau Tips-PPT.pdf
- Talend_DefinitiveGuide_DataGovernance-GUIDE.pdf
- Theory of Quantum Information-NOTES.pdf
- TGN-Temporal Graph Networks for Dynamic Graphs-REPORT.pdf
- The 5 Feature Selection Algorithms every Data Scientist should know-ARTC.pdf
- The AI revolution in scientific research-REPORT.pdf
- The AI Thought Book by Murat Durmus-PPT.pdf
- The Analytics Setup Guidebook-BOOK.pdf
- The Art of Effective Visualization of Multi-dimensional Data-ARTC.pdf
- The Art of Machine Learning-Algorithms+Data+R-BOOK.pdf
- The Complete Guide to Data Storytelling-GUIDE.pdf
- The Comprehensive Guide to DAX-BOOK.pdf
- The Data Revolution_Big Data Open Data Infrastructures and Their Consequences-BOOK.pdf
- The Data Science Design Manual-BOOK.pdf
- The Data Science Handbook-BOOK.pdf
- The Definitive Guide to DAX-NOTEBOOK.pdf
- The Elements of Statistical Learning Data Mining, Inference, and Prediction-BOOK.pdf
- The Elements of Statistical Learning-BOOK.pdf
- The Entity Relationship (ER) Model-PPT.pdf
- The Future of Analytics-BOOK.pdf
- The LION Way – Machine Learning plus Intelligent Optimization-Part3-BOOK.pdf
- The Matrix Cookbook-GUIDE.pdf
- The Modern Mathematics of Deep Learning-PAPER.pdf
- The Next Level of Data Visualization in Python-ARTC.pdf
- The Product Manager Handbook-BOOK.pdf
- The React Beginner’s Handbook-HANDBOOK.pdf
- The state of DevOps Tools-REPORT.pdf
- The Ultimate Guide to Effective Data Collection-REPORT.pdf
- The Unicode® Standard Version 12.0-Core Specification-GUIDE.pdf
- The-365-Data-Science-Booklet-PPT.pdf
- The-Data-Science-Career-Guide-by365DataScience-PPT.pdf
- The-Official-Kanban-GUIDE.pdf
- The-Python-Apprentice-by_RoberSmallshire-BOOK.pdf
- The-Python-Journeyman-byAustin-BOOK.pdf
- The-Python-Master-by-RobertSmallshire-BOOK.pdf
- The.StatQuest.Illustrated.Guide.to.Machine.Learning-PPT.pdf
- TheHundredPage_MachineLearning-BOOK.pdf
- The_5_most_influential_visuals-REPORT.pdf
- The_Data_Science-Booklet.pdf
- Think Complexity-BOOK.pdf
- Think Python How to Think Like a Computer Scientist-BOOK.pdf
- Think Stats-BOOK.pdf
- Think_Stats_Probality_and_Stats_for_Programmers-BOOK.pdf
- Thriver Ashish’s Complete DSA Sheet.pdf
- Time Series using Deep Learning-CHAPTER.pdf
- TimeSeries Forecasting Using fbprophet-NOTEBOOK.pdf
- TMLC-BROC.pdf
- Tokenization of Infrastructure A blockchain-REPORT.pdf
- Tokenization of Infrastructure-REPORT.pdf
- Top 10 for Data Science-PPT.pdf
- Top 12 AI Tools & Frameworks You Need to Know-REPORT.pdf
- Towards Demystifying Serverless Machine Learning Training-PAPER.pdf
- Towards_Responsible_Data_Practices_for_Machine_Learning_in_India-Health_and_Agriculture-REPORT.pdf
- Transfer Learning – VGG19 Model-NOTEBOOK.pdf
- Tree Based ML Models-PPT.pdf
- Triple-View Feature Learning for Medical Image Segmentation-PAPER.pdf
- TwoPhaseCommitIsEvil-PPT.pdf
- Uber Tagged LeetCode Problems-LINKS.pdf
- Ultimate Guide to Data Cleaning-ARTC.pdf
- Undergraduate Texts in Mathematics-BOOK.pdf
- Understanding bias in facial recognition technologies-REPORT.pdf
- Understanding Diffusion Models- A Unified Perspective-PAPER.pdf
- Understanding Machine Learning From Theory to Algorithms-BOOK.pdf
- Understanding Transformers, the Data Science Way-NOTE.pdf
- Use of Sanskrit for Natural Language Processing-REPORT.pdf
- Value-creation-in-the-metaverse-REPORT.pdf
- Vectors-HANDBOOK.pdf
- Very Deep Convolutional Networks for Large Scale Image Recognition-PAPER.pdf
- VIS-Building_effective_dashboards-REPORT.pdf
- VIS-ggplot2-NOTEBOOK.pdf
- VIS-Introducing Plotly Express – Plotly-ARTC.pdf
- VIS-Visualization in plotly with R-NOTEBOOK.pdf
- Visualize And Modeling Joint Behaviors of Categorical Variables-BOOK.pdf
- Web3 Glossary-PPT.pdf
- What is a Data Warehouse-PPT.pdf
- What Is Data Warehousing-ARTC.pdf
- What is Dimensional Model-ARTC.pdf
- What is Exploratory Data Analysis-ARTC.pdf
- What is Meta Data-PPT.pdf
- What is OLAP-ARTC.pdf
- Word Embedding LSA, Word2Vec, Glove, ELMo-PPT.pdf
- Writing for computer science 3rd edition-BOOK.pdf
- XAI – David Gunning (DARPA)-PPT.pdf
- XGB Regressor With Hyperparameter Tuning-TOOL.pdf
- XGBoost A Scalable Tree Boosting System-PAPER.pdf
- XGBoost Reliable Large-scale Tree Boosting System-PAPER.pdf
Free Online Books
- Deep Learning by Yoshua Bengio, Ian Goodfellow and Aaron Courville (05/07/2015)
- Neural Networks and Deep Learning by Michael Nielsen (Dec 2014)
- Deep Learning by Microsoft Research (2013)
- Deep Learning Tutorial by LISA lab, University of Montreal (Jan 6 2015)
- neuraltalk numpy-based RNN/LSTM implementation by Andrej Karpathy
- Artificial Intelligence: A Modern Approach
- Deep Learning in Neural Networks: An Overview
- Artificial intelligence and machine learning: Topic wise explanation
- Grokking Deep Learning for Computer Vision
- Dive into Deep Learning – numpy based interactive Deep Learning book