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

Methods, challenges & applications of Deep Learning | Munich 11-12 May

Visit Deep Learning World, 11-12 May in Munich, to broaden your knowledge, deepen your understanding and discuss your questions with other Deep Learning experts!

https://www.kdnuggets.com/2020/01/paw-methods-challenges-applications-deep-learning-munich.html

Top 9 Mobile Apps for Learning and Practicing Data Science

This article will tell you about the top 9 mobile apps that help the user in learning and practicing data science and hence is improving their productivity.

https://www.kdnuggets.com/2020/01/top-9-mobile-apps-learning-practicing-data-science.html

The Future of Machine Learning

This summary overviews the keynote at TensorFlow World by Jeff Dean, Head of AI at Google, that considered the advancements of computer vision and language models and predicted the direction machine learning model building should follow for the future.

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

Pandas Version 1.0 is Out! Top 4 Features Every Data Scientist Should Know

Overview Singleton scalar for missing values Dedicated datatype for strings Improved output formats and data summaries   Introduction There are only a handful of ...
The post Pandas Version 1.0 is Out! Top 4 Features Every Data Scientist Should Know appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2020/01/pandas-version-1-top-4-features/

Python String Processing Primer

Pursuing a text analytics path but don't know where to start? Try this string processing primer to first gain an understanding of using Python to manipulate and process strings at a basic level.

https://www.kdnuggets.com/2020/01/python-string-processing-primer.html

Microsoft Introduces Project Petridish to Find the Best Neural Network for Your Problem

The new algorithm takes a novel approach to neural architecture search.

https://www.kdnuggets.com/2020/01/microsoft-introduces-project-petridish-best-neural-network.html

We Created a Lazy AI

This article is an overview of how to design and implement reinforcement learning for the real world.

https://www.kdnuggets.com/2020/01/created-lazy-ai.html

Top Stories, Jan 13-19: Math for Programmers!; Decision Tree Algorithm, Explained

Also: Top 9 Mobile Apps for Learning and Practicing Data Science; Classify A Rare Event Using 5 Machine Learning Algorithms; The Future of Machine Learning; The Book to Start You on Machine Learning

https://www.kdnuggets.com/2020/01/top-news-week-0113-0119.html