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1. How to Speed up Pandas by 4x with one line of code
   
   
2. The Future of Careers in Data Science & Analysis
3. Can Neural Networks Develop Attention? Google Thinks they Can
4. Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
5. How to select rows and columns in Pandas using [ ], .loc, iloc, .at and .iat
6. Task-based effectiveness of basic visualizations
7. 10 Free Must-read Books on AI

1. Open Source Projects by Google, Uber and Facebook for Data Science and AI
2. Getting Started with Automated Text Summarization
3. A Doomed Marriage of Machine Learning and Agile
4. The Future of Careers in Data Science & Analysis
5. Can Neural Networks Develop Attention? Google Thinks they Can
6. Machine Learning 101: The What, Why, and How of Weighting
7. Top 8 Data Science Use Cases in Marketing

• 10 Free Top Notch Machine Learning Courses
• 5 Techniques to Prevent Overfitting in Neural...
• Enabling the Deep Learning Revolution
• The Rise of User-Generated Data Labeling
• Popular Deep Learning Courses of 2019

• Accuracy Fallacy: The Media’s Coverage ...
• Why software engineering processes and tools ...
• The Essential Toolbox for Data Cleaning
• Artificial Friend or Virtual Foe
• Explainability: Cracking open the black box, ...

• Webinar: Natural Language Processing for Digi...
• PyTorch in 2019 and where in Europe you can l...
• Statistical Thinking for Industrial Problem S...
• AXA, State Auto and Hippo on how to fuse inno...