I will also appreciate more future posts. While building sophisticated machine learning models is getting easier, understanding how models develop knowledge and arrive to conclusions remains a very difficult challenge. Typically, the more accurate the models the harder they are to interpret. KDNuggets posted an article highlighting the value and resources surrounding AI Explainability - what do you think? Are these tutorials useful for you?

We're excited to announce that the Machine Learning Blueprint is joining the IBM DataScience Community! We've always strived to source high quality content across the web and put deep thought into our curations. However, continually delivering this every week is not easy, so after two years of publishing, we decided to take a pause. Through our work with the IBM Community we identified an opportunity to join forces to grow a community of machine learning practitioners, we were thrilled at the prospect. Their mission was clear: provide a place for data scientists to interact with other experts, share support and insights and start dialogue around relevant topics.