Analytics, Data Science, & Artificial Intelligence

This book aims to provide knowledge about theory, techniques, and applications for people who want to learn Analytics, Data Science, and Artificial Intelligence.
Analytics consists of collecting, processing, analyzing, and interpreting data to derive insights. We can collect data from many different sources – from our gardens to our sports teams. We can process it in a myriad of ways. We can define our questions and work with data to answer them. And finally, our insights can have a direct, measurable impact on business today.
Data science is the study related to information, where it came from, how to represent it and to transform it into something valuable which can help in developing strategies for the enhancement and growth of the business. With the help of huge mining amounts of unstructured as well as structured data, various patterns can be identified, which an organization can use to determine costs, new opportunities and can even increase the performance, efficiency and get a competitive edge.
Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs, and perform human-like tasks. Most AI examples that you hear about today are from chess-playing computers to self-driving cars, rely heavily on deep learning and natural language processing. Using these technologies, computers can be programmed to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.
This book covers almost all the topics which come under Analytics, Data Science, and Artificial Intelligence, one after another.