This week, some influencers have shared very interesting resources on machine learning that present tools that are very helpful for various uses. Ipfconline shared an article by Parul Pandey that presents some tools helping to understand machine learning concepts or algorithms using interactive user interfaces. He also shared an article published on nanonet's blog that presents health checks for machine learning, a guide providing keys on how to evaluate the performing level of machine learning systems in production, on how to diagnose unexpected results and how to perform models retraining. Michael Cavaretta shared an article published on KDnuggets that provides some interesting open-source tools allowing to monitor machine learning models in production environments. Articles explaining in detail advanced machine learning concepts have also been shared by influencers this week.

This article aims to prepare machine learning database in order to show all machine learning titles in one view. This article will be updated when a new article related with machine learning title is published. This guideline can be called as a table of content of this project. There are millions of resources on machine learning on the internet. These resources explain machine learning topics in detail, supporting with examples.

Analytics has been changing the bottom line for businesses for quite some time. Now that more companies are mastering their use of analytics, they are delving deeper into their data to increase efficiency, gain a greater competitive advantage, and boost their bottom lines even more. That's why companies are looking to implement machine learning (ML) and artificial intelligence (AI); they want a more comprehensive analytics strategy to achieve these business goals. Learning how to incorporate modern machine learning techniques into their data infrastructure is the first step. For this many are looking to companies that already have begun the implementation process successfully. For call centers, using ML and AI means having conversation analytics software in place – in fact, decades ago call centers began using primitive forms of artificial intelligence.

These curated articles will be a one stop solution for people who are getting started with Machine Learning or who already have. This article contains all the best articles of 2017 which gathered the interest of the Machine Learning community.

A recommendation system is one of the applications of data science that is used by almost any application or website today. Many websites today use a recommendation system to recommend articles to their readers. For example, Medium.com and even the website you're currently reading this article on is also using a recommendation system to recommend articles to its readers. So, if you want to learn how to create an article recommendation system with machine learning, this article is for you. In this article, I will walk you through how to build an Article Recommendation System with Machine Learning using Python.