Dec
2018 Jan Top Stories, Tweets
All (108) | Courses, Education (11) | Meetings (8) | News, Features (11) | Opinions, Interviews (31) | Top Stories, Tweets (11) | Tutorials, Overviews (30) | Webcasts & Webinars (6)
- Top KDnuggets tweets, Jan 24-30: Top 10 Algorithms for Machine Learning Newbies; Want to Become a Data Scientist? Try Feynman Technique
- Jan 31, 2018.
Also: Chronological List of AI Books To Read - from Goedel, Escher, Bach ... ; Aspiring Data Scientists! Start to learn Statistics with these 6 books.
- Top Stories, Jan 22-28: Comparing Machine Learning as a Service; A Beginners Guide to Data Engineering – Part I
- Jan 29, 2018.
Also: How To Grow As A Data Scientist; Training and Visualising Word Vectors; Using Genetic Algorithm for Optimizing RNNs; Top 10 Machine Learning Algorithms for Beginners; Comparing Machine Learning as a Service
- Top KDnuggets tweets, Nov 17 – 23: 10 Free #MachineLearning and #DataScience Books; Fundamental #Python #DataScience Libraries: A Cheatsheet #pandas
- Jan 24, 2018.
Also: Advice For New and Junior #DataScientists; 5 EBooks to Read Before Getting into A #MachineLearning Career; #Blockchain or Bullshit; 30 Essential #DataScience, #MachineLearning & #DeepLearning Cheat Sheets
- Top Stories, Jan 15-21: The Value of Semi-Supervised Machine Learning; A Day in the Life of an AI Developer
- Jan 22, 2018.
Also: Managing Machine Learning Workflows with Scikit-learn Pipelines Part 2: Integrating Grid Search; Generative Adversarial Networks, an overview; Learning Curves for Machine Learning; Top 10 TED Talks for Data Scientists and Machine Learning Engineers
- Top KDnuggets tweets, Jan 10-16: The Art of Learning #DataScience; Gradient Boosting in #TensorFlow vs XGBoost
- Jan 17, 2018.
Also Japanese scientists just used #AI #DeepLearning to read minds and it's amazing; Using #DeepLearning to Solve Real World Problems.
- Top Stories, Jan 8-14: Top 10 TED Talks for Data Scientists and Machine Learning Engineers; The Art of Learning Data Science
- Jan 15, 2018.
Also: How Docker Can Help You Become A More Effective Data Scientist; Regularization in Machine Learning; Democratizing Artificial Intelligence, Deep Learning, Machine Learning with Dell EMC Ready Solutions; Quantum Machine Learning: An Overview
- Top KDnuggets tweets, Jan 3-9: A collection of Jupyter notebooks NumPy, Pandas, matplotlib, basic #Python #MachineLearning
- Jan 10, 2018.
Artificial General Intelligence (AGI) in less than 50 years; Top KDnuggets tweets: 10 Free Must-Read Books for #MachineLearning and #DataScience; The Art of Learning #DataScience; Supercharging Visualization with Apache Arrow; Docker for #DataScience
- Top December Stories: Computer Vision by Andrew Ng – 11 Lessons Learned; Top Data Science and Machine Learning Methods Used in 2017
- Jan 9, 2018.
Also: How Much Mathematics Does an IT Engineer Need to Learn to Get Into Data Science? Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018.
- Top Stories, Jan 1-7: Docker for Data Science; Quantum Machine Learning: An Overview
- Jan 8, 2018.
Also: Computer Vision by Andrew Ng – 11 Lessons Learned; How to build a Successful Advanced Analytics Department; Docker for Data Science; Top 10 Machine Learning Algorithms for Beginners
- Top KDnuggets tweets, Dec 27 – Jan 02: 10 Free Must-Read Books for #MachineLearning and #DataScience
- Jan 3, 2018.
Also #TensorFlow: A proposal of good practices for files, folders and models; Creating REST API for #TensorFlow models; The Most Popular Language For #MachineLearning and #DataScience Is ...
- Top Stories, Dec 18-31: How Much Mathematics Does an IT Engineer Need to Learn to Get Into Data Science?; Computer Vision by Andrew Ng – 11 Lessons Learned
- Jan 3, 2018.
Also: 70 Amazing Free Data Sources You Should Know; Industry Predictions: Main AI, Big Data, Data Science Developments in 2017 and Trends for 2018; Can I Become a Data Scientist: Research into 1,001 Data Scientist Profiles; Yet Another Day in the Life of a Data Scientist
I have a joke about …
Awesome Machine Learning and AI Courses
Essential Resources to Learn Bayesian Statistics