Topics: 
Feb
2020 Mar Top Stories, Tweets
All (92) | Events (4) | News, Education (10) | Opinions (29) | Top Stories, Tweets (10) | Tutorials, Overviews (39)
- Top Stories, Mar 23-29: 24 Best (and Free) Books To Understand Machine Learning; COVID-19 Visualized: The power of effective visualizations for pandemic storytelling
- Mar 30, 2020.
Also: Coronavirus Data and Poll Analysis – yes, there is hope, if we act now; Making sense of ensemble learning techniques; Nine lessons learned during my first year as a Data Scientist; Deep Learning Breakthrough: a sub-linear deep learning algorithm that does not need a GPU?
- Top KDnuggets tweets, Mar 18-24: Advice to Data Scientists: don’t post a blog on #coronavirus based on your ad-hoc data analysis without reading something on epidemiology – here are some useful links
- Mar 25, 2020.
#Coronavirus growth in Western countries: March 19 update - Spain and US cases; If you need a break from #coronavirus news, here is #AlphaGo - The Movie; Which Country Has Flattened the Curve for the #Coronavirus?; Excellent source of #Coronavirus info - FT
- Top Stories, Mar 16-22: 24 Best (and Free) Books To Understand Machine Learning
- Mar 23, 2020.
Also: Time Series Classification Synthetic vs Real Financial Time Series; Nine lessons learned during my first year as a Data Scientist; What is the most effective policy response to the new coronavirus pandemic?; Nine lessons learned during my first year as a Data Scientist; Five Interesting Data Engineering Projects
- Top KDnuggets tweets, Mar 11-17: Most western countries are on the same #coronavirus trajectory
- Mar 18, 2020.
Most western countries are on the same #coronavirus trajectory; The Workers Who Face the Greatest #Coronavirus Risk; #Coronavirus, a Visual Rundown; How to start building an automated NLP solution for processing customer feedback
- Top Stories, Mar 9-15: New Poll: Coronavirus impact on Data Science community; Covid-19, your community, and you — a data science perspective
- Mar 16, 2020.
Also: 50 Must-Read Free Books For Every Data Scientist in 2020; Decision Boundary for a Series of Machine Learning Models; 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2)
- Top KDnuggets tweets, Mar 04-10: 10 Free Must-Read Books for Machine Learning and Data Science
- Mar 11, 2020.
Also: The three phases of #COVID19 – and how we can make it manageable; 50 Must-Read Free Books For Every Data Scientist in 2020; Binary classification is a core machine learning technique, but is there a better way to evaluate its performance than ROC-AUC?
- Top Stories, Mar 2-8: 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2)
- Mar 9, 2020.
Also: Linear to Logistic Regression, Explained Step by Step; Trends in Machine Learning in 2020; Tokenization and Text Data Preparation with TensorFlow & Keras; The Death of Data Scientists — will AutoML replace them?
- Top February Stories: The Death of Data Scientists – will AutoML replace them?
- Mar 6, 2020.
Also: Learning from 3 big Data Science career mistakes; Leaders, Changes, and Trends in Gartner 2020 MQ Data Science and Machine Learning Platforms; Why Did I Reject a Data Scientist Job; Free Mathematics Courses for Data Science & Machine Learning.
- Top KDnuggets tweets, Feb 26 – Mar 03: Free Mathematics Courses for #DataScience & #MachineLearning
- Mar 4, 2020.
Also What is the Best #Python IDE for #DataScience? A Crash Course in Game Theory for Machine Learning: Classic and New Ideas; Statistical Modelling vs #MachineLearning.
- Top Stories, Feb 24 – Mar 1: Learning from 3 big Data Science career mistakes; Free Mathematics Courses for Data Science & Machine Learning
- Mar 2, 2020.
Also: The Death of Data Scientists — will AutoML replace them?; Probability Distributions in Data Science; The Big Bad NLP Database: Access Nearly 300 Datasets;; Leaders, Changes, and Trends in Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms; New Poll: When Will AutoML Replace Data Scientists (if ever)?
