Your Tech News Blog

Can we trust AutoML to go on full autopilot?

Five Command Line Tools for Data Science

Ten more random useful things in R you may not know about

KDnuggets™ News 19:n28, Jul 31: Top 13 Skills To Become a Rockstar Data Scientist; Best Podcasts on AI, Analytics, Data Science

Understanding Tensor Processing Units

P-values Explained By Data Scientist

Here’s how you can accelerate your Data Science on GPU

7 Tips for Dealing With Small Data

Decentralized and Collaborative AI: How Microsoft Research is Using Blockchains to Build More Transparent Machine Learning Models

Top Stories, Jul 22-28: Top 13 Skills To Become a Rockstar Data Scientist; This New Google Technique Help Us Understand How Neural Networks are Thinking

Top 13 Skills To Become a Rockstar Data Scientist

Fantastic Four of Data Science Project Preparation

Wake Forest University: Executive Director, Business Analytics Programs, School of Business [Winston Salem, NC]

Top Certificates and Certifications in Analytics, Data Science, Machine Learning and AI

Is SQL needed to be a data scientist?

This New Google Technique Help Us Understand How Neural Networks are Thinking

Easy, One-Click Jupyter Notebooks

KDnuggets™ News 19:n27, Jul 24: Bayesian deep learning and near-term quantum computers; DeepMind’s CASP13 Protein Folding Upset Summary

12 Things I Learned During My First Year as a Machine Learning Engineer

Kaggle Kernels Guide for Beginners: A Step by Step Tutorial

Is Bias in Machine Learning all Bad?

What’s the Best Data Strategy for Enterprises: Build, buy, partner or acquire?

Things I Learned From the SciPy 2019 Lightning Talks

Top Stories, Jul 15-21: The Death of Big Data and the Emergence of the Multi-Cloud Era; Bayesian deep learning and near-term quantum computers

Monash University: Lecturers / Senior Lecturers – Digital Health, Image Analytics [Melbourne, Australia]

Apple: Data Science Engineer [Austin, TX]

From Data Pre-processing to Optimizing a Regression Model Performance

Bayesian deep learning and near-term quantum computers: A cautionary tale in quantum machine learning

Rethinking Mentoring In Data Science

Big Data for Insurance

Adapters: A Compact and Extensible Transfer Learning Method for NLP

Online Workshop: How to set up Kubernetes for all your machine learning workflows

A Summary of DeepMind’s Protein Folding Upset at CASP13

How to Make Stunning 3D Plots for Better Storytelling

Computer Vision for Beginners: Part 1

KDnuggets™ News 19:n26, Jul 17: The Death of Big Data and the Emergence of Multi-Cloud; Top 10 Data Science Leaders You Should Follow

How to Build Disruptive Data Science Teams: 10 Best Practices

Things I Have Learned About Data Science

Dealing with categorical features in machine learning

McKinsey: Data Engineer [Wroclaw, Poland]

McKinsey: Data Scientist [Wroclaw, Poland]

First hand experience from Uber, Microsoft, Delivery Hero & more – at PAW London

Scaling a Massive State-of-the-art Deep Learning Model in Production

Secrets to a Successful Data Science Interview

The Hackathon Guide for Aspiring Data Scientists

Top Stories, Jul 8-14: The Death of Big Data and the Emergence of the Multi-Cloud Era; Training a Neural Network to Write Like Lovecraft

Introducing Gen: MIT’s New Language That Wants to be the TensorFlow of Programmable Inference

Pre-training, Transformers, and Bi-directionality

Top June Stories: 5 Useful Statistics Data Scientists Need to Know; 7 Steps to Mastering Intermediate Machine Learning with Python – 2019 Edition

Datarama: Sr Machine Learning (NLP) Engineer [Singapore]