Physics of Data Science and Machine Learning - Image 1

£85.56

CRC Press Physics of Data Science and Machine Learning

Name: Physics of Data Science and Machine Learning
Brand: CRC Press
Price: 81.19 GBP
Availability: InStock

AI & Machine Learning

Price History & Forecast

Last 36 days • 24 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 36 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £83 (16 days, 66.7%)

Price range: £81 - £85

Price levels: 3 different prices over 24 days

Description

Physics of Data Science and Machine Learning links fundamental concepts of physics to data science, machine learning, and artificial intelligence for physicists looking to integrate these techniques into their work. This book is written explicitly for physicists, marrying quantum and statistical mechanics with modern data mining, data science, and machine learning. It also explains how to integrate these techniques into the design of experiments, while exploring neural networks and machine learning, building on fundamental concepts of statistical and quantum mechanics. This book is a self-learning tool for physicists looking to learn how to utilize data science and machine learning in their research. It will also be of interest to computer scientists and applied mathematicians, alongside graduate students looking to understand the basic concepts and foundations of data science, machine learning, and artificial intelligence. Although specifically written for physicists, it will also help provide non-physicists with an opportunity to understand the fundamental concepts from a physics perspective to aid in the development of new and innovative machine learning and artificial intelligence tools. Key Features: Introduces the design of experiments and digital twin concepts in simple lay terms for physicists to understand, adopt, and adapt. Free from endless derivations; instead, equations are presented and it is explained strategically why it is imperative to use them and how they will help in the task at hand. Illustrations and simple explanations help readers visualize and absorb the difficult-to-understand concepts. Ijaz A. Rauf is an adjunct professor at the School of Graduate Studies, York University, Toronto, Canada. He is also an associate researcher at Ryerson University, Toronto, Canada and president of the Eminent-Tech Corporation, Bradford, ON, Canada.

Product Specifications

Brand: CRC Press
Format: Hardcover
ASIN: 0367768585
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 29 November 2021
Listed Since: 27 March 2021

Barcode

No barcode data available

CRC Press Physics of Data Science and Machine Learning

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Physics of Data Science and Machine Learning

Deep Learning and Physics (Mathematical Physics Studies)

Deep Learning for Physical Scientists: Accelerating Research with Machine Learning

Advanced Data Science and Analytics with Python (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Python in Physics: Model, Simulate, Visualize

Python in Physics: Model, Simulate, Visualize

Data Science and Analytics with Python (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis

Machine Learning for the Physical Sciences: Fundamentals and Prototyping with Julia

Deep Learning For Physics Research

Deep Learning and Computational Physics

Machine Learning Meets Quantum Physics: 968 (Lecture Notes in Physics, 968)

Experimental Physics: Principles and Practice for the Laboratory

CRC Press - A Mathematica Primer for Physicists Textbook

John Wiley & Sons Data Mining and Machine Learning Applications

Quantum Machine Learning: Thinking and Exploration in Neural Network Models for Quantum Science and Quantum Computing (Quantum Science and Technology)

Cyber-Physical Systems: AI and COVID-19

Experimental Physics: Principles and Practice for the Laboratory

Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems

Computational Physics: Problem Solving with Python

Springer Machine Learning for Critical Internet of Medical Things

Quantum Machine Learning: An Applied Approach: The Theory and Application of Quantum Machine Learning in Science and Industry

Machine Learning in Quantum Sciences

Reservoir Computing: Theory, Physical Implementations, and Applications (Natural Computing Series)