Machine Learning In Pure Mathematics And Theoretical Physics - Image 1

£104.37

World Scientific Publishing Company Machine Learning In Pure Mathematics And Theoretical Physics

Name: Machine Learning In Pure Mathematics And Theoretical Physics
Brand: World Scientific Publishing Company
Price: 104.37 GBP
Availability: InStock

Computing & Internet

Price data last checked 73 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

Last 18 days • 18 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 18 days • 1 price levels

Days at Price

Price Analysis

Most common price: £104 (18 days, 100.0%)

Price range: £104 - £104

Price levels: 1 different prices over 18 days

Description

The juxtaposition of "machine learning" and "pure mathematics and theoretical physics" may first appear as contradictory in terms. The rigours of proofs and derivations in the latter seem to reside in a different world from the randomness of data and statistics in the former. Yet, an often under-appreciated component of mathematical discovery, typically not presented in a final draft, is experimentation: both with ideas and with mathematical data. Think of the teenage Gauss, who conjectured the Prime Number Theorem by plotting the prime-counting function, many decades before complex analysis was formalized to offer a proof. Can modern technology in part mimic Gauss's intuition? The past five years saw an explosion of activity in using AI to assist the human mind in uncovering new mathematics: finding patterns, accelerating computations, and raising conjectures via the machine learning of pure, noiseless data. The aim of this book, a first of its kind, is to collect research and survey articles from experts in this emerging dialogue between theoretical mathematics and machine learning. It does not dwell on the well-known multitude of mathematical techniques in deep learning, but focuses on the reverse relationship: how machine learning helps with mathematics. Taking a panoramic approach, the topics range from combinatorics to number theory, and from geometry to quantum field theory and string theory. Aimed at PhD students as well as seasoned researchers, each self-contained chapter offers a glimpse of an exciting future of this symbiosis.

Product Specifications

Brand: World Scientific Publishing Company
Format: Hardcover
ASIN: 1800613695
Category: Books > Subjects > Computing & Internet
Domain: Amazon UK
Release Date: 22 June 2023
Listed Since: 09 September 2022

Barcode

No barcode data available

World Scientific Publishing Company Machine Learning In Pure Mathematics And Theoretical Physics

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Fundamental Mathematical Concepts for Machine Learning in Science

Fundamental Mathematical Concepts for Machine Learning in Science

The Calabi–Yau Landscape: From Geometry, to Physics, to Machine Learning: 2293 (Lecture Notes in Mathematics, 2293)

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

Basic Mathematical Foundations of AI: Hands on with Python (Mastering Machine Learning)

Deep Learning and Computational Physics

Deep Learning Through the Prism of Tensors: 162 (Studies in Big Data, 162)

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

Deep Learning and Physics (Mathematical Physics Studies)

Advances in Unconventional Computing: Volume 1: Theory: 22 (Emergence, Complexity and Computation, 22)

Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications

Mathematical Principles of Topological and Geometric Data Analysis: 2 (Mathematics of Data, 2)

Geometric Algebra Applications Vol. III: Integral Transforms, Machine Learning, and Quantum Computing: 3

Fundamentals of Machine Learning and Deep Learning in Medicine

Mathematical Journey Through Differential Equations Of Physics, A

Mathematical Foundations of Deep Learning Models and Algorithms (Graduate Studies in Mathematics)

Mathematics for Machine Learning

Calabi-yau Manifolds: A Bestiary For Physicists (2nd Edition)

Mathematical Analysis For Machine Learning And Data Mining

No Bullshit Math for Data Science: Your Comprehensive, Short and Sharp Guide to the Mathematics of Data Science

Elements of Dimensionality Reduction and Manifold Learning

Geometrical Dynamics of Complex Systems: A Unified Modelling Approach to Physics, Control, Biomechanics, Neurodynamics and Psycho-Socio-Economical ... and Automation: Science and Engineering, 31)

Theoretical And Mathematical Physics: Problems And Solutions

Foundations of Deep Learning (Machine Learning: Foundations, Methodologies, and Applications)