Content on this page keeps changing. These links are taken from my chrome browser favorites.

Blogs

  1. Learn Analytics | Business Analytics |Analytics community
  2. TechCrunch – Startup and Technology News
  3. Medium.com
  4. Analytics India Magazine | Artificial Intelligence, Data Science
  5. kdnuggets: Blog of All Blogs
  6. datascience: Data Science
  7. Google News – Data Science
  8. Datacamp: Data Science Blog To Help You Be A Data Scientist
  9. Towards Data Science
  10. Social Network for Programmers and Developers
  11. Sebastian Raschka Blog
  12. Sebastian-Resources
  13. Data School
  14. Blog – Naftali Harris: Statistician, Hacker and Climber
  15. Explained Visually
  16. RegexOne – Learn Regular Expressions
  17. Machine Leaning Mastery
  18. Machine Learning & AI Archives
  19. Blogs – DataFlair
  20. Apache Projects List
  21. Cloudera Blog
  22. Databricks – Unified Data Analytics
  23. sotabench: List of all benchmarks
  24. Rasa: Open source conversational AI – Rasa
  25. dummies – Learning Made Easy
  26. Pathmind: Find New Decision Paths
  27. Guru99 Blog
  28. The Canvas Project by Google Cloud
  29. Blog – Data to Fish
  30. Blog · Explosion
  31. TechRepublic
  32. PLOS
  33. AI2 Blog – Medium
  34. PsycINFO – Wikipedia
  35. Top Websites To Find Freelance Data Science Jobs
  36. Open Source Artificial Intelligence: Leading Projects
  37. ICSA Labs
  38. Wes McKinney – Wes McKinney Archives.
  39. Matthew Russell – Mining The Social Web.
  40. Greg Reda – Greg Reda Personal Blog
  41. Kevin Davenport – Kevin Davenport Personal Blog
  42. Julia Evans – Recurse Center alumna
  43. Hakan Kardas – Personal Web Page
  44. Sean J. Taylor – Personal Web Page
  45. Drew Conway – Personal Web Page
  46. Hilary Mason – Personal Web Page
  47. Noah Iliinsky – Personal Blog
  48. Matt Harrison – Personal Blog
  49. Data Science Renee Documenting my path from “SQL Data Analyst pursuing an Engineering Master’s Degree” to “Data Scientist”
  50. Vamshi Ambati – AllThings Data Sciene
  51. Prash Chan – Tech Blog on Master Data Management And Every Buzz Surrounding It
  52. Clare Corthell – The Open Source Data Science Masters
  53. Paul Miller Based in the UK and working globally, Cloud of Data’s consultancy services help clients understand the implications of taking data and more to the Cloud.
  54. Data Science London Data Science London is a non-profit organization dedicated to the free, open, dissemination of data science. We are the largest data science community in Europe. We are more than 3,190 data scientists and data geeks in our community.
  55. Datawrangling by Peter Skomoroch. MACHINE LEARNING, DATA MINING, AND MORE
  56. John Myles White Personal Blog
  57. Quora Data Science – Data Science Questions and Answers from experts
  58. Siah a PhD student at Berkeley
  59. Data Science Report MDS, Inc. Helps Build Careers in Data Science, Advanced Analytics, Big Data Architecture, and High Performance Software Engineering
  60. Louis Dorard a technology guy with a penchant for the web and for data, big and small
  61. Machine Learning Mastery about helping professional programmers to confidently apply machine learning algorithms to address complex problems.
  62. Daniel Forsyth – Personal Blog
  63. Data Science Weekly – Weekly News Blog
  64. Revolution Analytics – Data Science Blog
  65. R Bloggers – R Bloggers
  66. The Practical Quant Big data
  67. Micheal Le Gal a data enthusiast who gets hooked on solving intriguing problems and crafting beautiful stories and visualizations with data. Over the past 5 years, He haas applied statistics to solve problems in government, brain sciences, and most recently, retail.
  68. Datascope Analytics data-driven consulting and design
  69. Yet Another Data Blog Yet Another Data Blog
  70. Spenczar a data scientist at Twitch. I handle the whole data pipeline, from tracking to model-building to reporting.
  71. KD Nuggets Data Mining, Analytics, Big Data, Data, Science not a blog a portal
  72. Meta Brown – Personal Blog
  73. Data Scientist is building the data scientist culture.
  74. WhatSTheBigData is some of, all of, or much more than the above and this blog explores its impact on information technology, the business world, government agencies, and our lives.
  75. Mic Farris Focusing on science, datascience, business, technology, and channeling inner geekness!
  76. Tevfik Kosar – Magnus Notitia
  77. New Data Scientist How a Social Scientist Jumps into the World of Big Data
  78. Harvard Data Science – Thoughts on Statistical Computing and Visualization
  79. Data Science 101 – Learning To Be A Data Scientist
  80. Kaggle Past Solutions
  81. DataScientistJourney
  82. NYC Taxi Visualization Blog
  83. Learning Lover
  84. Dataists
  85. Data-Mania
  86. Data-Magnum
  87. Map Reduce Blog
  88. FastML Blog
  89. P-value – Musings on data science, machine learning and stats.
  90. datascopeanalytics
  91. Digital transformation
  92. datascientistjourney
  93. Data Mania Blog – The File Drawer – Chris Said’s science blog
  94. Emilio Ferrara’s web page
  95. DataNews
  96. Reddit TextMining
  97. Periscopic
  98. Hilary Parker
  99. Data Stories
  100. Data Science Lab
  101. Meaning of
  102. Adventures in Data Land
  103. DATA MINERS BLOG
  104. Dataclysm
  105. FlowingData – Visualization and Statistics
  106. Calculated Risk
  107. O’reilly Learning Blog
  108. Dominodatalab
  109. i am trask – A Machine Learning Craftsmanship Blog
  110. Vademecum of Practical Data Science – Handbook and recipes for data-driven solutions of real-world problems
  111. Dataconomy – A blog on the new emerging data economy
  112. Springboard – A blog with resources for data science learners
  113. Analytics Vidhya – A full-fledged website about data science and analytics study material.
  114. Occam’s Razor – Focused on Web Analytics.
  115. Data School – Data science tutorials for beginners!
  116. Colah’s Blog – Blog for understanding Neural Networks!
  117. Sebastian’s Blog – Blog for NLP and transfer learning!
  118. Distill – Dedicated to clear explanations of machine learning!
  119. Chris Albon’s Website – Data Science and AI notes
  120. Andrew Carr – Data Science with Esoteric programming languages

Articles

  1. DeepMind and Google: the battle to control artificial intelligence | 1843
  2. Will Robots Change Human Relationships? – The Atlantic
  3. Ethics, computing, and AI: Perspectives from MIT | MIT News
  4. The Ultimate Hands-On Hadoop – Tame your Big Data!
  5. Display days difference between project start & task start dates
  6. 6 Easy Steps to Learn Naive Bayes Algorithm (with code in Python)
  7. Let Data Ask Questions, Not Just Answer Them
  8. 5 Easy Questions on Ensemble Modeling everyone should know
  9. 10 Best Firms In India For Data Scientists To Work For – 2019
  10. Python Programming Language can easily be acquired easily. How?
  11. Six Indian-origin children are among the eight co-champions of the US national spelling bee
  12. CPGRAMS-Home
  13. Non-traditional strategies for mid-career switch to #Datascience and #AI – Data Science Central
  14. Webinar:Intelligent Vision Solutions for the Enterprise of the Future
  15. How to handle Imbalanced Data in Machine Learning
  16. An overview of correlation measures between categorical and continuous variables
  17. Python | Pandas dataframe.corr() – GeeksforGeeks
  18. 10 Useful DAX Functions for Beginners in Power BI
  19. A Beginner’s Guide to Hierarchical Clustering in Python
  20. 10 Analytics / Data Science Masters Program | Top Universities in US
  21. 30 Best Master’s in Data Science Degree Programs 2019
  22. 25 Best Master’s in Business Analytics Programs | 2019 Rankings
  23. A Deep Dive Into Corporate Tools & Techniques Used By Analytics & Data Science Experts
  24. How to calculate p-value for multivariate linear regression – Cross Validated
  25. kaggle: Official Blog of Kaggle.com
  26. Analytics Community | Analytics Discussions | Big Data Discussion
  27. Practice Problem: Loan Prediction III
  28. Machine Learning for Everyone :: In simple words. With real-world examples
  29. Business Archives – PGurus
  30. Social Network for Developers
  31. 5 Julia-Specific IDEs Developers Should Know
  32. 5 Popular Python Open-Source IDEs For Data Science Enthusiasts
  33. 10 Leading Organisations That Are Hiring Data Scientists In Singapore
  34. About Feature Scaling and Normalization
  35. Difference between Adjusted R-squared and R-squared
  36. Leanpub: Publish Early, Publish Often
  37. AIC, BIC and Recent Advances in Model Selection – ScienceDirect
  38. Simplicity, Truth, and Probability – ScienceDirect
  39. Hessian of logistic function – Cross Validated
  40. Point estimation
  41. Logistic model – Maximum likelihood
  42. ROC curves and Area Under the Curve explained (video)
  43. Simple guide to confusion matrix terminology
  44. Interpretable Machine Learning
  45. Introduction to Random Forests
  46. Random forest – Wikipedia
  47. Ten Machine Learning Algorithms You Should Know to Become a Data Scientist
  48. The Best Artificial Intelligence, Machine Learning and Data Science Resources*
  49. Top 30 Data Analytics Interview Questions & Answers
  50. 5 Simple Full Stack Data Science Projects To Put On Your Resume
  51. Guide to Encoding Categorical Values in Python – Practical Business Python
  52. Python List Comprehensions in 5-minutes – Towards Data Science
  53. Wolfram Cloud
  54. Using k-means clustering to find similar players | the spread
  55. K-modes | The Shape of Data
  56. Beginner’s Guide To Geographical Plotting With Plotly
  57. AIC vs. BIC – The Methodology Center
  58. This algorithm browses Wikipedia to auto-generate textbooks – MIT Technology Review
  59. OpenStreetMap
  60. Software Engineering – O’Reilly Media
  61. Visualizing DBSCAN Clustering
  62. Principal Component Analysis explained visually
  63. Nonlinear dimensionality reduction – Wikipedia
  64. Types of Matrices (examples, solutions, videos)
  65. Online LaTeX Equation Editor – create, integrate and download
  66. Codesearch
  67. API Marketplace – Free Public & Open Rest APIs | RapidAPI
  68. Preliminaries — SymPy 1.4 documentation
  69. Data Manipulation for Machine Learning with Pandas – Towards Data Science
  70. Analytic Training
  71. Capstone Project in PGPDM – A key differentiator | Analytics Training Blog
  72. Machine Learning Mastery
  73. DATAVERSITY
  74. State of the IoT 2019 Q1/Q2 | 67 Insights on current market environment
  75. Missing Data Conundrum: Exploration and Imputation Techniques
  76. Handling Missing Values in Machine Learning: Part 1
  77. Handling Missing Values in Machine Learning: Part 2
  78. Freecode camp
  79. Browse journals and books | ScienceDirect.com
  80. Practice Artificial Neural Networks | Brilliant
  81. Hypergeometric distribution – Wikipedia
  82. Mixture model – Wikipedia
  83. Data Labelling – Algotrak Pvt Ltd
  84. Binomial distribution – Wikipedia
  85. Data Science Course – Hands-on Training & Industry Relevant Curricullum
  86. Probability and Statistics Courses – Free Online Classes | Alison
  87. Kimball GroupDimensional Modeling Techniques – Kimball Group
  88. DataHack : Biggest Data hackathon platform for Data Scientists
  89. Machine Learning
  90. Applied Machine Learning Online Course
  91. Sigma (Sum) Calculator
  92. Predicting the Stock Market Using Machine Learning and Deep Learning
  93. Oigetit – Fake New Filter
  94. Hadoop advantages and Disadvantages | MindsMapped
  95. How to optimise size depth of trees in XGBoost?
  96. Hadoop Architecture Overview · Hadoop Internals
  97. 1 Second – Internet Live Stats
  98. Predict fraud using the AutoAI tool – IBM Developer
  99. CS109A – CS109a: Introduction to Data Science <br>
  100. 12 Courses Bundle for Career Transformation | Making India Employable
  101. Types of Matrices – Examples, Properties, Special Matrices and PDF
  102. How to Build your Own Automatic Music Generation Model
  103. Cython
  104. skimage filtering
  105. What is Machine Learning? Machine Learning Courses – deeplearning.ai
  106. Visual thinking – Wikipedia
  107. Visual programming language – Wikipedia
  108. Dataflow programming – Wikipedia
  109. The First X-ray, 1895 | The Scientist Magazine®
  110. Road crack detection using deep convolutional neural network
  111. An executive’s guide to AI | McKinsey
  112. Artificial Intelligence
  113. pytorch-master [Jenkins]
  114. sotabench: Object Detection on COCO minival Benchmark
  115. Marketing Artificial Intelligence Institute | Speaking
  116. Enterprise AI Chatbot Solutions For The ML & NLP Era | Request a Demo
  117. Healthcare | Rasa Conversational AI Solutions – Rasa
  118. Using geometric transformations — skimage v0.17.dev0 docs
  119. Face detection using a cascade classifier — skimage v0.17.dev0 docs
  120. Blob Detection Using OpenCV ( Python, C++ ) | Learn OpenCV
  121. Memorizing is not learning! — 6 tricks to prevent overfitting in machine learning. – By
  122. How to Tell a Z-Distribution from a t-Distribution
  123. Online Classes with Skillshare
  124. A Neural Algorithm of Artistic Style
  125. Mundaka Upanishad Part 36 by Swami Parmarthananda | Pravachanam.com
  126. A Beginner’s Guide to Word2Vec and Neural Word Embeddings | Pathmind
  127. Word Embedding Tutorial: word2vec using Gensim
  128. How to use Monte Carlo simulation with GBM
  129. Financial Terms Dictionary
  130. A dashboard for data management, analysis, and reporting | DataScience+
  131. 6.3. Preprocessing data — scikit-learn 0.22.2 documentation
  132. Python Archives – Data to Fish
  133. Better Identity Management for Your Organization
  134. Welcome to Osho World
  135. Explosion · Makers of spaCy, Prodigy, and other AI and NLP developer tools
  136. nltk-users – Google Groups
  137. Harvard Business Review – Ideas and Advice for Leaders
  138. The Craft of Scientific Writing
  139. List of mathematical symbols – Wikipedia
  140. 7 Python Libraries For Manipulating Audio That Data Scientists Use
  141. Playing and Recording Sound in Python – Real Python
  142. Sentiment Analysis
  143. Docker Documentation | Docker Documentation
  144. Problem-solving in Artificial Intelligence
  145. Selecting good features – Part IV: stability selection

 

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