Machine Learning & AI
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Xavier Amatriain’s Machine Learning and Artificial Intelligence 2019 Year-end Roundup

It is an annual tradition for Xavier Amatriain to write a year-end retrospective of advances in AI/ML, and this year is no different. Gain an understanding of the important developments of the past year, as well as insights into what expect in 2020.

https://www.kdnuggets.com/2019/12/xavier-amatriain-machine-learning-ai-year-end-roundup.html
Top Stories, Dec 9-15: Machine Learning & Data Science Research Main Developments, Key Trends; Build Pipelines with Pandas Using pdpipe

Also: Plotnine: Python Alternative to ggplot2; AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020; Moving Predictive Maintenance from Theory to Practice; 10 Free Top Notch Machine Learning Courses; Math for Programmers!

https://www.kdnuggets.com/2019/12/top-news-week-1209-1215.html
The Ultimate Guide to Model Retraining

Once you have deployed your machine learning model into production, differences in real-world data will result in model drift. So, retraining and redeploying will likely be required. In other words, deployment should be treated as a continuous process. This guide defines model drift and how to identify it, and includes approaches to enable model training.

https://www.kdnuggets.com/2019/12/ultimate-guide-model-retraining.html
View the PAW Business Agenda & Benefit from Extended Super Early Bird until Dec 20

The agenda for Predictive Analytics World for Business (Las Vegas, May 31 - Jun 4) has just been released. Super Early Bird Deadline Extended until Dec 20th. Register now!

https://www.kdnuggets.com/2019/12/paw-business-agenda-extended-super-early-bird.html
Decoding the Best Machine Learning Papers from NeurIPS 2019

Introduction NeurIPS is THE premier machine learning conference in the world. No other research conference attracts a crowd of 6000+ people in one place ...
The post Decoding the Best Machine Learning Papers from NeurIPS 2019 appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/12/neurips-2019-best-papers/
How To “Ultralearn” Data Science: removing distractions and finding focus, Part 2

This second part in a series about how to "ultralearn" data science will guide you through several techniques to remove those distractions -- because your focus needs more focus.

https://www.kdnuggets.com/2019/12/ultralearn-data-science-distractions-focus-part2.html
Top 2019 Stories: Top 10 Technology Trends of 2019; How to select rows and columns in Pandas

Also: Your AI skills are worth less than you think; Another 10 Free Must-See Courses for Machine Learning and Data Science.

https://www.kdnuggets.com/2019/12/top-stories-2019.html
20 Most Popular Machine Learning and Deep Learning Articles on Analytics Vidhya in 2019

Introduction High-quality machine learning and deep learning content – that’s the piece de resistance our community loves. That’s the peg we hang our hat ...
The post 20 Most Popular Machine Learning and Deep Learning Articles on Analytics Vidhya in 2019 appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/12/20-popular-machine-learning-articles-analytics-vidhya-2019/
KDnuggets™ News 19:n48, Dec 18: Build Pipelines with Pandas Using pdpipe; AI, Analytics, ML, DS, Technology Main Developments, Key Trends; Poll on AutoML

Build Pipelines with Pandas Using pdpipe; AI, Analytics, ML, DS, Technology Main Developments, Key Trends; New Poll: Does AutoML work? Ultralearn Data Science; Python Dictionary How-To; Top stories of 2019 and more.

https://www.kdnuggets.com/2019/n48.html
The ravages of concept drift in stream learning applications and how to deal with it

Stream data processing has gained progressive momentum with the arriving of new stream applications and big data scenarios. These streams of data evolve generally over time and may be occasionally affected by a change (concept drift). How to handle this change by using detection and adaptation mechanisms is crucial in many real-world systems.

https://www.kdnuggets.com/2019/12/ravages-concept-drift-stream-learning-applications.html
How to Convert an RGB Image to Grayscale

This post is about working with a mixture of color and grayscale images and needing to transform them into a uniform format - all grayscale. We'll be working in Python using the Pillow, Numpy, and Matplotlib packages.

https://www.kdnuggets.com/2019/12/convert-rgb-image-grayscale.html
The 4 fastest ways not to get hired as a data scientist

Ready to try to get hired as a data scientist for the first time? Avoiding these common mistakes won’t guarantee an offer, but not avoiding them is a sure fire way for your application to be tossed into the trash bin.

https://www.kdnuggets.com/2019/12/4-ways-not-hired-data-scientist.html
Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released

Ontotext Platform 3.0 features significant technology improvements to enable simpler and faster graph navigation, including GraphQL interfaces to make it easier for application developers to access knowledge graphs without tedious development of back-end APIs or complex SPARQL.

https://www.kdnuggets.com/2019/12/ontotext-platform-enterprise-knowledge-graphs.html