Machine Learning Fundamentals
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Machine Learning Fundamentals
Author: Hui Jiang
language: en
Publisher: Cambridge University Press
Release Date: 2021-11-25
A coherent introduction to core concepts and deep learning techniques that are critical to academic research and real-world applications.
Machine Learning Fundamentals: Theory, Algorithms and Real-World Applications
Author: Dr.V.Kumaresan
language: en
Publisher: Leilani Katie Publication
Release Date: 2025-05-03
Dr.V.Kumaresan, Assistant Professor, Department of Computer Science, Arignar Anna Government Arts College, Namakkal, Tamil Nadu, India. Dr. Mukta Makhija, Professor, Assistant Dean - IT, Head - Research and Innovation Cell, Department of Computer Applications, Integrated Academy of Management and Technology((INMANTEC), Ghaziabad, Uttar Pradesh, India. Prof.Kamal Nain, Assistant Professor, Department of Information Technology, Integrated Academy of Management and Technology (INMANTEC), Ghaziabad, Uttar Pradesh, India. Dr.V.A.Jane, Assistant Professor, Department of B.Voc SD and SA, St. Joseph's College (Autonomous), Tiruchirapalli , Tamil Nadu, India. Dr.G.Stephen, Assistant Librarian, St. Xavier's University, Kolkata, West Bengal.
Deep Learning Fundamentals
Author: Chao Pan
language: en
Publisher: Createspace Independent Publishing Platform
Release Date: 2016-06-15
This book is the first part of the book deep learning with Python write by the same author. If you already purchased deep learning with Python by Chao Pan no need for this book. Are you thinking of learning deep Learning fundamentals, concepts and algorithms? (For Beginners) If you are looking for a complete beginners guide to learn deep learning with examples, in just a few hours, this book is for you. From AI Sciences Publisher Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. It will help you in preparing a solid foundation and learn any other high-level courses.To get the most out of the concepts that would be covered, readers are advised to adopt hands on approach, which would lead to better mental representations. Step By Step Guide and Visual Illustrations and Examples This book and the accompanying examples, you would be well suited to tackle problems, which pique your interests using machine learning and deep learning models. Instead of tough math formulas, this book contains several graphs and images. Book Objectives Have an appreciation for deep learning and an understanding of their fundamental principles. Have an elementary grasp of deep learning concepts and algorithms. Have achieved a technical background in deep learning and neural networks. Target Users The most suitable users would include: Anyone who is intrigued by how algorithms arrive at predictions but has no previous knowledge of the field. Software developers and engineers with a strong programming background but seeking to break into the field of machine learning. Seasoned professionals in the field of artificial intelligence and machine learning who desire a bird's eye view of current techniques and approaches. What's Inside This Book? Introduction Teaching Approach What is Artificial Intelligence, Machine Learning and Deep Learning? Mathematical Foundations of Deep Learning Machine Learning Fundamentals Fully Connected Neural Networks Convolutional Neural Networks Recurrent Neural Networks Generative Adversarial Networks Deep Reinforcement Learning Introduction to Deep Neural Networks with Keras Sources & References Frequently Asked Questions Q: Is this book for me and do I need programming experience?A: if you want to smash deep learning from scratch, this book is for you. No programming experience is required. The present only the fundamentals concepts and algorithms of deep learning. It ll be a good introduction for beginners.Q: Can I loan this book to friends?A: Yes. Under Amazon's Kindle Book Lending program, you can lend this book to friends and family for a duration of 14 days.Q: Does this book include everything I need to become a Machine Learning expert?A: Unfortunately, no. This book is designed for readers taking their first steps in Deep Learning and further learning will be required beyond this book to master all aspects.Q: Can I have a refund if this book is not fitted for me?A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform. We will also be happy to help you if you send us an email at [email protected].