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Important DS, AI, ML Articles

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

 

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