Machine learning-a computer's ability to learn-is transforming our world: it is used to understand images, process text, make predictions by analyzing large amounts of data, and much more. It can be used in nearly every industry to improve efficiency and help stakeholders make better decisions. Whatever your industry or hobby, chances are that these modern artificial intelligence methods will be useful to you as well.
Introduction to Machine Learning weaves reproducible coding examples into explanatory text to show what machine learning is, how it can be applied, and how it works. Perfect for anyone new to the world of AI or those looking to further their understanding, the text begins with a brief introduction to the Wolfram Language, the programming language used for the examples throughout the book. From there, readers are introduced to key concepts before exploring common methods and paradigms such as classification, regression, clustering, and deep learning. The math content is kept to a minimum to focus on what matters-applying the concepts in useful contexts. This book is sure to benefit anyone curious about the fascinating field of machine learning.
"Sinopsis" puede pertenecer a otra edición de este libro.
Etienne Bernard is a scientist and entrepreneur in the field of machine learning. His goal is to simplify the practice of machine learning in order to spread its usage. Etienne holds a PhD in statistical physics and was the head of the machine learning group at Wolfram Research for seven years. At Wolfram, he led the development of machine learning tools and applications for the Wolfram Language and Wolfram|Alpha. In 2021, Etienne founded NuMind, a startup providing user-friendly machine learning solutions for companies.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
Paperback or Softback. Condición: New. Introduction to Machine Learning. Book. Nº de ref. del artículo: BBS-9781579550486
Cantidad disponible: 2 disponibles
Librería: Lakeside Books, Benton Harbor, MI, Estados Unidos de America
Condición: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books! Nº de ref. del artículo: OTF-S-9781579550486
Cantidad disponible: 2 disponibles
Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
Condición: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Nº de ref. del artículo: 00103313469
Cantidad disponible: 1 disponibles
Librería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Nº de ref. del artículo: I-9781579550486
Cantidad disponible: 5 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 44149669
Cantidad disponible: 12 disponibles
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Paperback. Condición: new. Paperback. Machine learning - a computer's ability to learn - is transforming our world: it is used to understand images, process text, make predictions by analysing large amounts of data, and much more. It can be used in nearly every industry to improve efficiency and help stakeholders make better decisions. Whatever your industry or hobby, chances are that these modern artificial intelligence methods will be useful to you as well. Introduction to Machine Learning weaves reproducible coding examples into explanatory text to show what machine learning is, how it can be applied, and how it works. Perfect for anyone new to the world of AI or those looking to further their understanding, the text begins with a brief introduction to the Wolfram Language, the programming language used for the examples throughout the book. From there, readers are introduced to key concepts before exploring common methods and paradigms such as classification, regression, clustering, and deep learning. The math content is kept to a minimum to focus on what matters - applying the concepts in useful contexts. This book is sure to benefit anyone curious about the fascinating field of machine learning. Introduction to Machine Learning weaves reproducible coding examples into explanatory text to show what machine learning is, how it can be applied, and how it works. Perfect for anyone new to the world of AI or those looking to further their understanding. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781579550486
Cantidad disponible: 1 disponibles
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
Paperback. Condición: New. Nº de ref. del artículo: LU-9781579550486
Cantidad disponible: 3 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 44149669-n
Cantidad disponible: 12 disponibles
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: EB-9781579550486
Cantidad disponible: 8 disponibles
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
Paperback. Condición: New. Nº de ref. del artículo: LU-9781579550486
Cantidad disponible: 7 disponibles