“This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. The book, informed by the authors’ many years of teaching machine learning, and working ...
Neural Networks and Deep Learning: A Textbook Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition Deep Learning with Python Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots, robotics, disc...
It is a specially designed textbook for students of engineering, computer science, and computer applications. This C Language book is divided into two parts. Part I, Computer Fundamentals. It starts with an introduction to computers and offers a detailed account of various topics like input and ...
This book is primarily intended for undergraduate and postgraduate students of computer science and engineering. This textbook covers the gap between the difficult contexts of Artificial Intelligence and Machine Learning. It provides the most number of case studies and worked-out examples. In addition ...
Machine/Reinforcement Learning for Power Grid 3 projects Visualization 3 projects Messaging Environment 2 projects Power System Data 17 projects Power Electronics 1 projects Database Management 2 projects Textbook 8 projects Explanation 🥇🥈🥉 Combined project-quality score ⭐️ Star count from Git...
AI for business Now that you know the complexity of the topic of AI, is it any wonder that businesses all over the world scramble to keep up with trends? Using AI in business helps streamline processes, eliminate human error, and provide advanced knowledge and predictions based on data. Lea...
MATLAB Textbook Instructions on programming MATLAB Siauw, Timmy (Author) MATLAB Programming for Engineers 6th Edition Sale MATLAB Programming for Engineers Chapman, Stephen (Author) English (Publication Language) 864 Pages - 01/15/2019 (Publication Date) - Cengage Learning (Publisher) ...
1. Mathematics for Machine Learning Before mastering machine learning, it's essential to grasp the fundamental mathematical concepts that underpin these algorithms. ConceptDescription Linear Algebra Crucial for understanding many algorithms, especially in deep learning. Key concepts incl...
TheDeep Learning bookby Goodfellow, Bengio, and Courville is an authoritative textbook on the subject. Some (minor)criticismleveled at it focused on verbose definitions, but if you’re new to the subject, you’ll appreciate this greatly as it gives a bit of context to new concepts. ...
Your course may recommend a textbook or provide a reading list. If not, or if you want to supplement with additional resources, tryHead First Python: A Brain-Friendly GuideorAutomate the Boring Stuff with Python: Practical Programming for Total Beginners.Both of these books provide a practical,...