Machine Learning

I enjoy reading and spending time browsing Medium and writing in it. I use it as my blog, as my go-to source for exciting news, opinions, idea center, topic reading, a lot.  But writing and sharing information and getting around in Artificial Intelligence is not necessarily very easy. Using Artificial Intelligence, Machine learning, Deep Learning, Natural Language Processing and other buzzing words effectively can be a little complex as it keeps changing itself. Fortunately, Blogs gave us a lot of information on all the aspects and Cheatsheets plays a very vital role in the field of learning and memorizing things. They have excellent tips and tricks and “how-to” articles but they are all over the place. I spent one month putting together all cheat sheets for  Artificial Intelligence, Machine learning, Deep Learning, Natural Language Processing all together to work effectively and get to know every useful information . Feel free to use it, critique it, recommend, add to it, etc...

Have you heard people talking about machine learning but only have a fuzzy idea of what that means? Are you tired of nodding your way through conversations with co-workers? Let’s change that! This guide is for anyone who is curious about machine learning but has no idea where to start. I imagine there are a lot of people who tried reading the Wikipedia article, got frustrated and gave up wishing someone would just give them a high-level explanation. That’s what this is. The goal is to be accessible to anyone — which means that there’s a lot of generalizations. But who cares? If this gets anyone more interested in ML, then mission accomplished. What is machine learning? Machine learning is the idea that there are generic algorithms that can tell you something interesting about a set of data without you having to write any custom code specific to the problem. Instead of writing code, you feed data to the generic algorithm and it builds its own logic based on the...