The 10 Deep Learning Methods AI Practitioners Need to Apply

[unable to retrieve full-text content]Deep learning emerged from that decade’s explosive computational growth as a serious contender in the field, winning many important machine learning competitions. The interest has not cooled as of 2017; today, we see deep learning mentioned in every corner of machine learning.
Original Post: The 10 Deep Learning Methods AI Practitioners Need to Apply

KDnuggets™ News 17:n47, Dec 13: Top Data Science, Machine Learning Methods in 2017; Main Data Science Developments in 2017, Key Trends; Lunch Break with Keras

[unable to retrieve full-text content]Also: Managing Machine Learning Workflows with Scikit-learn Pipelines; Best Masters in Data Science and Analytics – Europe Edition; Another Day in the Life of a Data Scientist; TensorFlow for Short-Term Stocks; Creating Simple Data Visualizations as an Act of Kindness
Original Post: KDnuggets™ News 17:n47, Dec 13: Top Data Science, Machine Learning Methods in 2017; Main Data Science Developments in 2017, Key Trends; Lunch Break with Keras

Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018

[unable to retrieve full-text content]The leading experts in the field on the main Data Science, Machine Learning, Predictive Analytics developments in 2017 and key trends in 2018.
Original Post: Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018

Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018

[unable to retrieve full-text content]The leading experts in the field on the main Data Science, Machine Learning, Predictive Analytics developments in 2017 and key trends in 2018.
Original Post: Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018

Creating Simple Data Visualizations as an Act of Kindness

[unable to retrieve full-text content]The field of data visualization is still quite young and evolving rapidly—and tools like the web and VR are continuing to expand the possibilities. So there is a lot of room for exploring new possibilities and creating new formats, as well as many examples of novel and amazing visualizations.
Original Post: Creating Simple Data Visualizations as an Act of Kindness

No More Excuses – 470 Outstanding Women in Analytics

[unable to retrieve full-text content]In case your network doesn’t include many of the remarkable women you might consider, I have some lists to get you started. Here’s where to find more information and links to profiles of 470 of the industry’s best.
Original Post: No More Excuses – 470 Outstanding Women in Analytics