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Introduction to Time Series Analysis in Python

The Most Complete Guide to PyTorch for Data Scientists

Top KDnuggets tweets, Sep 16-22: An overview of 63 #MachineLearning algorithms

How well do you wear your “operationalizing analytics” hat? Take this simple quiz to find out.

LinkedIn’s Pro-ML Architecture Summarizes Best Practices for Building Machine Learning at Scale

How I Consistently Improve My Machine Learning Models From 80% to Over 90% Accuracy

Artificial Intelligence for Precision Medicine and Better Healthcare

KDnuggets™ News 20:n36, Sep 23: New Poll: What Python IDE / Editor you used the most in 2020?; Automating Every Aspect of Your Python Project

MathWorks Deep learning workflow: tips, tricks, and often forgotten steps

New Poll: What Python IDE / Editor you used the most in 2020?

Machine Learning from Scratch: Free Online Textbook

The Potential of Predictive Analytics in Labor Industries

Statistical and Visual Exploratory Data Analysis with One Line of Code

I’m a Data Scientist, Not Just The Tiny Hands that Crunch your Data

Top Stories, Sep 14-20: Automating Every Aspect of Your Python Project; Deep Learning’s Most Important Ideas

What an Argentine Writer and a Hungarian Mathematician Can Teach Us About Machine Learning Overfitting

Automating Every Aspect of Your Python Project

What is Simpson’s Paradox and How to Automatically Detect it

The Insiders’ Guide to Generative and Discriminative Machine Learning Models

Coursera’s Machine Learning for Everyone Fulfills Unmet Training Needs

How to Effectively Obtain Consumer Insights in a Data Overload Era

Unpopular Opinion – Data Scientists Should Be More End-to-End

Implementing a Deep Learning Library from Scratch in Python

Top KDnuggets tweets, Sep 9-15: Will You Enroll At #Google University For $49/Month? Here Are International Alternatives to @Kaggle

Can Neural Networks Show Imagination? DeepMind Thinks They Can

Online Certificates/Courses in AI, Data Science, Machine Learning from Top Universities

Autograd: The Best Machine Learning Library You’re Not Using?

KDnuggets™ News 20:n35, Sep 16: Data Science Skills: Core, Emerging, and Most Wanted; Free From MIT: Intro to CS, Programming in Python

The Maslow’s hierarchy your data science team needs

DIY Election Fraud Analysis Using Benford’s Law

Here’s what you need to look for in a model server to build ML-powered services

Visualization Of COVID-19 New Cases Over Time In Python

Big Data and AI Toronto Goes Virtual

Lessons From My First Kaggle Competition

Top Stories, Sep 7-13: Free From MIT: Intro to Computer Science and Programming in Python

Deep Learning’s Most Important Ideas

Statistics with Julia: The Free eBook

Top August Stories: Know What Employers are Expecting for a Data Scientist Role in 2020; If I had to start learning Data Science again, how would I do it?

Understanding Bias-Variance Trade-Off in 3 Minutes

Feature Engineering for Numerical Data

An Introduction to NLP and 5 Tips for Raising Your Game

Math for Programmers

AI Papers to Read in 2020

6 Common Mistakes in Data Science and How To Avoid Them

Let’s Be Honest: We’re Drowning in Data

Top KDnuggets tweets, Sep 02-08: Training alone is never enough to generate effective supervised machine learning models

Seven Reasons to Take This Course Before You Go Hands-On with Machine Learning

Free From MIT: Intro to Computer Science and Programming in Python

8 AI/Machine Learning Projects To Make Your Portfolio Stand Out