) KDnuggets™ News 19:n32, Aug 28: Handy SQL Features for Data Scientists; Nothing but NumPy: Creating Neural Networks with Computational Graphs
Most useful SQL features for Data Scientist; Excellent tutorial on creating neural nets from scratch with Numpy; TensorFlow 2.0 highlights, explained; How to sell your boss on Data Analytics; and more.
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Features
Top Handy SQL Features for Data Scientists
- Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch
- Why Data Visualization Is The Most Important Skill in a Data Analyst Arsenal
- Understanding Decision Trees for Classification in Python
- How to Sell Your Boss on the Need for Data Analytics
Tutorials, Overviews
- TensorFlow 2.0: Dynamic, Readable, and Highly Extended
- Introducing AI Explainability 360: A New Toolkit to Help You Understand what Machine Learning Models are Doing
- How to count Big Data: Probabilistic data structures and algorithms
- Artificial Intelligence vs. Machine Learning vs. Deep Learning: What is the Difference?
- Order Matters: Alibaba's Transformer-based Recommender System
- How LinkedIn, Uber, Lyft, Airbnb and Netflix are Solving Data Management and Discovery for Machine Learning Solutions
- Automate Stacking In Python: How to Boost Your Performance While Saving Time
Opinions
- The secret sauce for growing from a data analyst to a data scientist
- Proptech and the proper use of technology for house sales prediction
- Gender Diversity in AI Research
Top Stories, Tweets
- Top Stories, Aug 19-25: Top Handy SQL Features for Data Scientists; Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch
- Top KDnuggets tweets, Aug 14-20: Researcher reproduced 130 research papers on "predicting the stock market", coded them from scratch.
News
- eBook: How to Enhance Privacy in Data Science
- Comparing Decision Tree Algorithms: Random Forest vs. XGBoost
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