Are you thinking of learning more about Machine Learning using R?
Deep learning is constantly being mentioned today, as organizations cross over their businesses attempts to discover how to utilize progressed computational strategies to discover helpful data that is covered up crosswise over enormous swaths of information. While the field of artificial intelligence is decades old, leaps forward in the field of simulated neural systems are driving the sudden increase in deep learning.
Endeavors at making computerized reasoning go back decades. In the wake of World War II, the English mathematician and code breaker Alan Turning penned his definition for genuine computerized reasoning. He named it the Turing Test, whereby a conversational machine would need to persuade a human that they were conversing with another human.
There are many deep learning architectures, such as deep neural networks, deep learning networks, and recurrent networks, which have been applied to various fields of computer science, most commonly computer vision, speech recognition, natural language processing, audio recognition and many more fields where, when using deep learning, the results are more superior than humans.
Further, in this book we will investigate what deep learning really is and what mathematics are involved in this technique. Moreover, we will talk about the installation procedure and how to use different open source libraries for deep learning.
Book Objectives
If you are interested in learning more about machine learning with practical examples and application with python, then this book is exactly what you need.
This book will help you:
- Have an appreciation for machine learning and an understanding of their fundamental principles.
- Have an elementary grasp of machine learning concepts and algorithms.
- Have achieve a technical background in machine learning and also deep learning
Who Should Read This?
- Anyone curious about deep learning but with zero programming knowledge
- People who want to demystify machine learning and deep learning (it's not magic and it's probably not the end of the world)
- Technical people who want to quickly gain knowledge in deep learning
Is this book for me?
If you want to smash deep learning problems with Python, this book is for you. Little programming experience is required. If you already wrote a few lines of code and recognize basic programming statements, you'll be OK.
