Hands-On Unsupervised Learning Using Python by Ankur A. Patel (2018)

 Posted on January 16, 2024  |  1 minutes  |  141 words  |  sysop

Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. [Read More]
hands-on unsupervised learning using python  ankur a. patel  pdf  download 

Anti-Aging Drugs: From Basic Research to Clinical Practice by Alexander M Vaiserman (2017)

 Posted on January 16, 2024  |  2 minutes  |  224 words  |  sysop

Aging is a natural phenomenon that is peculiar to all living things. However, accumulating findings indicate that senescence could be postponed or prevented by certain approaches. Substantial evidence has emerged supporting the possibility of radical human health and lifespan extension, in particular through pharmacological modulation of aging. [Read More]
anti-aging drugs: from basic research to clinical practice  alexander m vaiserman  pdf  download  biology  gerontology  biogerontology  ebook  antiaging 

Pattern Classification by Duda (2012)

 Posted on January 16, 2024  |  1 minutes  |  65 words  |  sysop

Unter Musterklassifikation versteht man die Zuordnung eines physikalischen Objektes zu einer von mehreren vordefinierten Kategorien. Auf dieser Grundlage können Computer Muster erkennen. Das Interesse an diesem Forschungsgebiet hat in den letzten Jahren, besonders im Zuge der Weiterentwicklung neuronaler Netze, stark zugenommen. [Read More]
pattern classification  duda  pdf  download 

Machine Learning: A Bayesian and Optimization Perspective by Sergios Theodoridis (2020)

 Posted on January 16, 2024  |  2 minutes  |  252 words  |  sysop

This tutorial text offers a comprehensive perspective on machine learning, integrating both probabilistic and deterministic approaches, rooted in optimization techniques, alongside Bayesian inference principles utilizing a hierarchy of probabilistic models. The book systematically introduces major machine learning methods developed across various disciplines such as statistics, statistical and adaptive signal processing, and computer science. [Read More]
machine learning: a bayesian and optimization perspective  sergios theodoridis  pdf  download 

An Introduction to Statistical Learning: With Applications in R by Gareth James (2013)

 Posted on January 16, 2024  |  2 minutes  |  226 words  |  sysop

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. [Read More]
an introduction to statistical learning: with applications in r  gareth james  pdf  download  artificial intelligence  statistical learning  machine learning  computer science  ebook 

A brief history of artificial intelligence: What It Is, Where We Are, and Where We Are Going by Michael Wooldridge (2022)

 Posted on January 16, 2024  |  1 minutes  |  159 words  |  sysop

From Oxford’s leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: Artificial Intelligence. The somewhat ill-defined long-term aim of AI is to build machines that are conscious, self-aware, and sentient; machines capable of the kind of intelligent autonomous action that currently only people are capable of. [Read More]
a brief history of artificial intelligence: what it is, where we are, and where we are going  michael wooldridge  pdf  download  artificial intelligence  ai  machine learning  ebook 

Python for Probability, Statistics, and Machine Learning by Jose Unpingco (2016)

 Posted on January 16, 2024  |  1 minutes  |  63 words  |  sysop

Provides an updated explanation of simulating, conceptualizing, and visualizing random statistical processes, along with the application of machine learning methods. The new edition aligns with Python version 3.7 and engages with key open-source Python communities and modules, highlighting the latest developments in the field. [Read More]
python for probability, statistics, and machine learning  jose unpingco  pdf  download 

Introduction to artificial intelligence by W.Ertel (2020)

 Posted on January 16, 2024  |  1 minutes  |  40 words  |  sysop

An excellent resource for self-study on artificial intelligence, offering a practical and application-focused approach. Each chapter includes study exercises, highlighted examples, definitions, theorems, and illustrative cartoons. The second edition has been updated with new material on deep learning. [Read More]
introduction to artificial intelligence  w.ertel  pdf  download