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1. 10 Great Python Resources for Aspiring Data Scientists
   
   
2. I wasn't getting hired as a Data Scientist. So I sought data on who is.
3. There is No Free Lunch in Data Science
4. BERT is changing the NLP landscape
5. Train sklearn 100x Faster
6. Scikit-Learn vs mlr for Machine Learning
7. Advice on building a machine learning career and reading research papers by Prof. Andrew Ng

1. 10 Great Python Resources for Aspiring Data Scientists
2. The 5 Graph Algorithms That Data Scientists Should Know
3. Many Heads Are Better Than One: The Case For Ensemble Learning
4. BERT is changing the NLP landscape
5. Train sklearn 100x Faster
6. Version Control for Data Science: Tracking Machine Learning Models and Datasets
7. Scikit-Learn vs mlr for Machine Learning

• Beyond Explainability: A Practical Guide to M...
• A Gentle Introduction to PyTorch 1.2
• Automate Hyperparameter Tuning for Your Models
• Scikit-Learn & More for Synthetic Datase...
• Applying Data Science to Cybersecurity Networ...

• The Hidden Risk of AI and Big Data
• 5 Beginner Friendly Steps to Learn Machine Le...
• Data Science is Boring (Part 1)
• Which Data Science Skills are core and which ...
• 5 Alternative Data Science Tools

• Webinar: Data-Driven Approaches to Forecasting
• Turbo-Charging Data Science with AutoML
• Data Science Symposium 2019, Oct 10-11, Cinci...
• Data Driven Government – Agenda, Washin...
• Discover Your Path Toward Data Science with O...