<span>FUNDAMENTALS AND METHODS OF MACHINE AND DEEP LEARNING</span><p><span>The book provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications.</span></p><p><span>Over t
Fundamentals and Methods of Machine and Deep Learning : Algorithms, Tools and Applications
โ Scribed by Pradeep Singh
- Year
- 2021
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
<span><p><b>This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners</b>. We begin by describing how machine learning provides capabilities to computers and embedded systems to learn from
<span>This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners. We begin by describing how machine learning provides capabilities to computers and embedded systems to learn from data. A typical machine lear
<span> Get Involved with Machine learning </span><span><br><br> </span><span>Key Features</span><ul><li><span><span> Machine learning in MATLAB using basic concepts and algorithms.</span></span></li><li><span><span> Algorithms of machine learning in a simple language using MATLAB code.</span></span>
<p><span>This book presents the state-of-the-art applications of machine learning in the finance domain with a focus on financial product modeling, which aims to advance the model performance and minimize risk and uncertainty. It provides both practical and managerial implications of financial and m
This book presents the state-of-the-art applications of machine learning in the finance domain with a focus on financial product modeling, which aims to advance the model performance and minimize risk and uncertainty. It provides both practical and managerial implications of financial and managerial