May2018 Jun Top Stories, Tweets
All (73) | Courses, Education (6) | Meetings (5) | News, Features (6) | Opinions, Interviews (20) | Top Stories, Tweets (6) | Tutorials, Overviews (26) | Webcasts & Webinars (4)
- Top KDnuggets tweets, Jun 6–19: #MachineLearning predicts #WorldCup2018 winner; 10 More Free Must-Read Books for Data Science
- Jun 20, 2018.
Also: Google #AI principles; #Cartoon: FIFA #WorldCup #Football and #MachineLearning; Introduction to Game Theory; Top 20 Recent Research Papers on Machine Learning and Deep Learning
- Top Stories, Jun 11-17: Data Lake – the evolution of data processing; Generating Text with RNNs in 4 Lines of Code
- Jun 18, 2018.
Also: Cartoon: 5 Machine Learning Projects You Should Not Overlook, June 2018; FIFA World Cup Football and Machine Learning; The What, Where and How of Data for Data Science; Data Lake the evolution of data processing
- Top May Stories: Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018; Data Science vs Machine Learning vs Data Analytics vs Business Analytics
- Jun 11, 2018.
Also: Boost your data science skills. Learn linear algebra. 10 More Free Must-Read Books for Machine Learning and Data Science.
- Top Stories, Jun 4-10: Did Python declare victory over R?; The Keras 4 Step Workflow
- Jun 11, 2018.
Also: Introduction to Game Theory (Part 1); Human Interpretable Machine Learning (Part 1) - The Need and Importance of Model Interpretation; DIY Deep Learning Projects; 10 More Free Must-Read Books for Machine Learning and Data Science
- Top KDnuggets tweets, May 30 – Jun 5: Notes from Coursera #DeepLearning courses by Andrew Ng; Finland offers free online #AI course
- Jun 6, 2018.
Also: Who Is Going To Make Money In #AI?; Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch); Learning from Imbalanced Classes; 10 More Free Must-Read Books for Machine Learning and Data Science
- Top Stories, May 28 – Jun 3: 10 More Free Must-Read Books for Machine Learning and Data Science; A Beginners Guide to the Data Science Pipeline
- Jun 4, 2018.
Also: Descriptive analytics, machine learning, and deep learning viewed via the lens of CRISP-DM; On the contribution of neural networks and word embeddings in NLP; Improving the Performance of a Neural Network; Python eats away at R