Uber Creates Generative Teaching Networks to Better Train Deep Neural Networks

The new technique can really improve how deep learning models are trained at scale.

https://www.kdnuggets.com/2020/01/uber-generative-teaching-networks-train-neural-networks.html

Graph Machine Learning Meets UX: An uncharted love affair

When machine learning tools are developed by technology first, they risk failing to deliver on what users actually need. It can also be difficult for development teams to establish meaningful direction. This article explores the challenges of designing an interface that enables users to visualise and interact with insights from graph machine learning, and explores the very new, uncharted relationship between machine learning and UX.

https://www.kdnuggets.com/2020/01/graph-machine-learning-ux.html

Top Stories, Jan 6-12: Top 5 must-have Data Science skills for 2020; 7 Resources to Becoming a Data Engineer

Also: The Book to Start You on Machine Learning; An Introductory Guide to NLP for Data Scientists with 7 Common Techniques; A Comprehensive Guide to Natural Language Generation; The Book to Start You on Machine Learning; 10 Python Tips and Tricks You Should Learn Today

https://www.kdnuggets.com/2020/01/top-news-week-0106-0112.html

Idiot’s Guide to Precision, Recall, and Confusion Matrix

Building Machine Learning models is fun, but making sure we build the best ones is what makes a difference. Follow this quick guide to appreciate how to effectively evaluate a classification model, especially for projects where accuracy alone is not enough.

https://www.kdnuggets.com/2020/01/guide-precision-recall-confusion-matrix.html

Statistical Thinking for Industrial Problem Solving: a free online course.

This online course is available – for free – to anyone interested in building practical skills in using data to solve problems better.

https://www.kdnuggets.com/2020/01/jmp-statistical-thinking-free-course.html

Building Machine Learning Pipelines and AI in Retail – A Powerful Interview with Rossella Blatt Vital

Overview How do machine learning pipelines work? What’s the role of AI in retail? How important is ethics in this field? We are thrilled ...
The post Building Machine Learning Pipelines and AI in Retail – A Powerful Interview with Rossella Blatt Vital appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2020/01/building-machine-learning-pipelines-interview-rossella-blatt-vital/

Decision Tree Algorithm, Explained

All you need to know about decision trees and how to build and optimize decision tree classifier.

https://www.kdnuggets.com/2020/01/decision-tree-algorithm-explained.html

Leveraging Data to Build Africa’s Economic Future: Part One

Q&A with Richmond Chris-Koka, Data Engineering Graduate at Blossom Academy

https://www.datacamp.com/community/blog/blossom-academy-q-a-part-1

7 AI Use Cases Transforming Live Sports Production and Distribution

Here are 7 powerful AI led use cases both for linear television and for OTT apps that are transforming the live sports production landscape.

https://www.kdnuggets.com/2020/01/7-ai-use-cases-transforming-live-sports-production-distribution.html

Survey Segmentation Tutorial

Learn the basics of verifying segmentation, analyzing the data, and creating segments in this tutorial. When reviewing survey data, you will typically be handed Likert questions (e.g., on a scale of 1 to 5), and by using a few techniques, you can verify the quality of the survey and start grouping respondents into populations.

https://www.kdnuggets.com/2020/01/survey-segmentation-tutorial.html

5 Thoughts on How to Transition into Data Science from Different Backgrounds

Overview Looking to transition into data science? Here are 5 paths for a non-data science person to land a role in this space The ...
The post 5 Thoughts on How to Transition into Data Science from Different Backgrounds appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2020/01/how-to-transition-data-science-different-backgrounds/

KDnuggets™ News 20:n02, Jan 15: Top 5 Must-have Data Science Skills; Learn Machine Learning with THIS Book

This week: learn the 5 must-have data science skills for the new year; find out which book is THE book to get started learning machine learning; pick up some Python tips and tricks; learn SQL, but learn it the hard way; and find an introductory guide to learning common NLP techniques.

https://www.kdnuggets.com/2020/n02.html

Geovisualization with Open Data

In this post I want to show how to use public available (open) data to create geo visualizations in python. Maps are a great way to communicate and compare information when working with geolocation data. There are many frameworks to plot maps, here I focus on matplotlib and geopandas (and give a glimpse of mplleaflet).

https://www.kdnuggets.com/2020/01/open-data-germany-maps-viz.html

Classify A Rare Event Using 5 Machine Learning Algorithms

Which algorithm works best for unbalanced data? Are there any tradeoffs?

https://www.kdnuggets.com/2020/01/classify-rare-event-machine-learning-algorithms.html

Disentangling disentanglement: Ideas from NeurIPS 2019

This year’s NEURIPS-2019 Vancouver conference recently concluded and featured a dozen papers on disentanglement in deep learning. What is this idea and why is it so interesting in machine learning? This summary of these papers will give you initial insight in disentanglement as well as ideas on what you can explore next.

https://www.kdnuggets.com/2020/01/disentangling-disentanglement-neurips-2019.html

Math for Programmers!

Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.

https://www.kdnuggets.com/2020/01/manning-math-programmers.html

Top KDnuggets tweets, Jan 08-14: A Beginners Guide to Data Engineering — Part I

Also: The Book to Start You on Machine Learning - KDnuggets; Top KDnuggets tweets, Jan 1-7: Introduction to #DataVisualization and Storytelling: A Guide For The #DataScientist #eBook; 7 Steps to a Job-winning Data Science Resume - KDnuggets; Tips for open-sourcing research code

https://www.kdnuggets.com/2020/01/top-tweets-jan08-14.html

A Guide to Link Prediction – How to Predict your Future Connections on Facebook

Overview An introduction to link prediction, how it works, and where you can use it in the real-world Learn about the importance of Link ...
The post A Guide to Link Prediction – How to Predict your Future Connections on Facebook appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2020/01/link-prediction-how-to-predict-your-future-connections-on-facebook/

Handling Trees in Data Science Algorithmic Interview

This post is about fast-tracking the study and explanation of tree concepts for the data scientists so that you breeze through the next time you get asked these in an interview.

https://www.kdnuggets.com/2020/01/handling-trees-data-science-algorithmic-interview.html

Schema Evolution in Data Lakes

Whereas a data warehouse will need rigid data modeling and definitions, a data lake can store different types and shapes of data. In a data lake, the schema of the data can be inferred when it’s read, providing the aforementioned flexibility. However, this flexibility is a double-edged sword.

https://www.kdnuggets.com/2020/01/schema-evolution-data-lakes.html

Top 10 Technology Trends for 2020

With integrations of multiple emerging technologies just in the past year, AI development continues at a fast pace. Following the blueprint of science and technology advancements in 2019, we predict 10 trends we expect to see in 2020 and beyond.

https://www.kdnuggets.com/2020/01/top-10-technology-trends-2020.html