Download Introduction to Machine Learning 3e (Adaptive Computation and Machine Learning series) [NulledPremium] torrent - GloDLS
Torrent Details Voor "Introduction to Machine Learning 3e (Adaptive Computation and Machine Learning series..."

Introduction to Machine Learning 3e (Adaptive Computation and Machine Learning series...

To download this torrent, you need a BitTorrent client: Vuze or BTGuard
Download deze torrent
Download using Magnet Link

Gezondheid:
Seeds: 17
Leechers: 2
Completed: 49 
Laatst gecontroleerd: 12-07-2022 07:43:39

Uploader Reputatie punten : 2538




Thanks By

Write a Review for the Uploader:   5   Say Thanks with one good review:
Share on Facebook


Details
Naam:Introduction to Machine Learning 3e (Adaptive Computation and Machine Learning series...
_DESCRIPTION_:
For More Content Visit NulledPremium >>> NulledPremium.com

For More Premium Graphics,Accounts,Freebies Visit >>> Forum.NulledPremium.com



Book details

Reading level: 18+ years
Format: pdf
Size: 3.44 MB
Hardcover: 640 pages
Publisher: MIT Press; third edition edition (19 September 2014)
Language: English
ISBN-10: 9780262028189
ISBN-13: 978-0262028189
ASIN: 0262028182

A substantially revised third edition of a comprehensive textbook that covers a broad range of topics not often included in introductory texts.

The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. Subjects include supervised learning; Bayesian decision theory; parametric, semi-parametric, and nonparametric methods; multivariate analysis; hidden Markov models; reinforcement learning; kernel machines; graphical models; Bayesian estimation; and statistical testing.

Machine learning is rapidly becoming a skill that computer science students must master before graduation. The third edition of Introduction to Machine Learning reflects this shift, with added support for beginners, including selected solutions for exercises and additional example data sets (with code available online). Other substantial changes include discussions of outlier detection; ranking algorithms for perceptrons and support vector machines; matrix decomposition and spectral methods; distance estimation; new kernel algorithms; deep learning in multilayered perceptrons; and the nonparametric approach to Bayesian methods. All learning algorithms are explained so that students can easily move from the equations in the book to a computer program. The book can be used by both advanced undergraduates and graduate students. It will also be of interest to professionals who are concerned with the application of machine learning methods.
YouTube Video:
Categorie:Books
Taal:English  English
Totale grootte:3.44 MB
Info Hash:E6C485117BD85884461BE651C7DC7D1F6B2A0CB4
Toegevoegd door:DiamondB Verified Uploader
Datum toegevoegd:2019-08-27 12:10:15
_TORSTATUS_:Torrent Verified


Ratings:Not Yet Rated (Log in to rate it)


Tracker:
udp://tracker.iamhansen.xyz:2000/announce

Deze Torrent heeft ook back-trackers
URLZaaimachinesLeechersCompleted
udp://tracker.iamhansen.xyz:2000/announce000
udp://tracker.torrent.eu.org:451/announce000
udp://tracker.cyberia.is:6969/announce000
udp://tracker.leechers-paradise.org:6969/announce000
udp://tracker.uw0.xyz:6969/announce000
udp://exodus.desync.com:6969/announce000
udp://explodie.org:6969/announce000
udp://denis.stalker.upeer.me:6969/announce000
udp://tracker.opentrackr.org:1337/announce000
udp://9.rarbg.to:2710/announce000
udp://tracker.tiny-vps.com:6969/announce000
udp://ipv4.tracker.harry.lu:80/announce000
udp://tracker.coppersurfer.tk:6969/announce000
udp://tracker.internetwarriors.net:1337/announce000


File List: 





Comments
Geen reacties nog geplaatst