KDnuggets™ News 19:n32, Aug 28: Handy SQL Features for Data Scientists; Nothing but NumPy: Creating Neural Networks with Computational Graphs

Tags: Neural Networks, numpy, SQL, TensorFlow

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.

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

KDnuggets™ News 19:n32, Aug 28: Handy SQL Features for Data Scientists; Nothing but NumPy: Creating Neural Networks with Computational Graphs

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