Deep learning is an immensely rich subfield of machine learning, with powerful applications ranging from machine perception to natural language processing, all the way up to creati…
Natural Language Processing (NLP) is an interdisciplinary area of research aimed at making machines understand and process human languages. It is an evolving field, with a rapid in…
Book oleh Lisa Tagliaferri, Michelle Morales, Ellie Birbeck, and Alvin Wan, 1 file
In this tutorial, you built several bots for games and explored a fundamental concept in machine learning called bias-variance. A natural next question is: Can you build bots for m…
This book aims to teach almost anyone to be able to use freely available Python Machine Learning tools to build their own AI stock investor. The idea being that readers will finish…
This book covers machine learning, one of the hottest topics in more recent years. With computing power increasing exponentially and prices decreasing simultaneously, there is no b…
Book oleh Akshay Kulkarni & Adarsha Shivananda, 1 file
According to industry estimates, more than 80% of the data being generated is in an unstructured format, maybe in the form of text, image, audio, video, etc. Data is getting genera…
This book is your practical guide towards novice to master in machine learning with Python in six steps. The six steps path has been designed based on the “Six degrees of separatio…
Machine learning is the practice of programming computers to learn from data. In the above example, the program will easily be able to determine if given are important or are “spam…
This book is intended for Python programmers who want to add machine learning to their repertoire, either for a specific project or as part of keeping their toolkit relevant. Perha…
Book oleh Andreas C. Müller & Sarah Guido, 1 file
Machine learning is about extracting knowledge from data. It is a research field at the intersection of statistics, artificial intelligence, and computer science and is also known…
This book offers a practical, hands-on exploration of deep learning. It avoids mathematical notation, preferring instead to explain quantitative concepts via code snippets and to b…
This book has been written with immense care to keep the teachings from this book very pragmatic and results-oriented. Building chatbots is not just about completing a tutorial or…
Classification predictive modeling involves assigning a class label to an example. It may be one of the most studied and used areas of machine learning. Nevertheless, the majority…
In this book, I assume that you are familiar with Python programming.In this introductory chapter, I explain why a data scientist should choose Python as a programming language. Th…