KDnuggets

• Top KDnuggets tweets, Apr 01-07: How to change global policy on #coronavirus
• How to Do Hyperparameter Tuning on Any Python Script in 3 Easy Steps
• TensorFlow Dev Summit 2020: Top 10 Tricks for TensorFlow and Google Colab Users
• 3 Reasons to Use Random Forest® Over a Neural Network: Comparing Machine Learning versus Deep Learning
• KDnuggets™ News 20:n14, Apr 8: Free Mathematics for Machine Learning eBook; Epidemiology Courses for Data Scientists
• 2 Things You Need to Know about Reinforcement Learning – Computational Efficiency and Sample Efficiency

• Free Metis Corporate Training Series: Intro to Python
• Introducing MIDAS: A New Baseline for Anomaly Detection in Graphs
• 365 Data Science courses free until 15 April

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1. COVID-19 Visualized: The power of effective visualizations for pandemic storytelling
   
   
2. How (not) to use Machine Learning for time series forecasting: The sequel
3. Stop Hurting Your Pandas!
4. Research into 1,001 Data Scientist LinkedIn Profiles, the latest
5. 24 Best (and Free) Books To Understand Machine Learning
6. Best Free Epidemiology Courses for Data Scientists
7. Python for data analysis... is it really that simple?!?

1. Introducing MIDAS: A New Baseline for Anomaly Detection in Graphs
2. How (not) to use Machine Learning for time series forecasting: The sequel
3. Best Free Epidemiology Courses for Data Scientists
4. Research into 1,001 Data Scientist LinkedIn Profiles, the latest
5. More Performance Evaluation Metrics for Classification Problems You Should Know
6. Advice for a Successful Data Science Career
7. Introduction to the K-nearest Neighbour Algorithm Using Examples