Campagne de collecte 15 septembre 2024 – 1 octobre 2024 C'est quoi, la collecte de fonds?

Fundamentals of Machine Learning for Predictive Data...

Main
Computers
Computers - Algorithms and Data Structures
Fundamentals of Machine Learning for...

Fundamentals of Machine Learning for Predictive Data Analytics

John D. Kelleher, Brian Mac Namee, Aoife D’Arcy

5.0 / 0

Avez-vous aimé ce livre?

Quelle est la qualité du fichier téléchargé?

Veuillez télécharger le livre pour apprécier sa qualité

Quelle est la qualité des fichiers téléchargés?

Catégories:

Computers
Computers - Algorithms and Data Structures

Année:

2015

Editeur::

The MIT Press

Langue:

english

Pages:

691

ISBN 10:

0262331748

ISBN 13:

9780262331746

Fichier:

PDF, 14.29 MB

IPFS:

,

english, 2015

Lire en ligne

La conversion en est effectuée

La conversion en a échoué

Cela peut vous intéresser

Jeff Leek — The Elements of Data Analytic Style - A guide for people who want to analyze data

Jason Brownlee — Machine Learning Mastery with R: Get Started, Build Accurate Models and Work Through Projects Step-by-Step

Theobald, Oliver — Machine Learning for Absolute Beginners

Gaston H. Gonnet, Gaston Gonnet, Ricardo Baeza-Yates, R. Baeza-Yates — Handbook of algorithms and data structures: in Pascal and C

Suvrit Sra, Sebastian Nowozin, Stephen J. Wright — Optimization for Machine Learning (Neural Information Processing series)

Pierre Baldi, SÃ¸ren Brunak — Bioinformatics: the machine learning approach

Ethem Alpaydin — Introduction to Machine Learning

John D. Kelleher, Brian Mac Namee, Aoife D'Arcy — Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

Lise Getoor, Ben Taskar — Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)

Melanie Mitchell — An Introduction to Genetic Algorithms

Christopher D. Manning, Hinrich Schuetze — Foundations of Statistical Natural Language Processing

Ethem Alpaydin — Machine Learning: The New AI

Panos Louridas — Algorithms

Marvin Minsky, Seymour A. Papert — Perceptrons: An Introduction to Computational Geometry

Dey, Nilanjan; Mahalle, Parikshit N.; Pathan, Mohd. Shafi; Wagh, Sanjeev — Applied machine learning for smart data analysis

Boguslaw Cyganek(auth.) — Object Detection and Recognition in Digital Images: Theory and Practice

N. David Mermin — Quantum Computer Science: An Introduction

Toby Segaran — Programming Collective Intelligence - Building Smart Web 2.0 Applications

Zeljko Ivezic, Andrew J. Connolly, Jacob T VanderPlas, Alexander Gray — Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data

Eric Siegel, Thomas H. Davenport (Foreword) — Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die

Dean Abbott — Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst

Michael Bowles — Machine Learning in Python: Essential Techniques for Predictive Analysis

Bernard Marr — Big data Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance

Eric Siegel — Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die

Peter Wlodarczak — Machine Learning and Its Applications

Richard E Neapolitan; Xia Jiang — Artificial Intelligence: With an Introduction to Machine Learning

Bruce Ratner — Statistical and Machine-Learning Data Mining, Third Edition: Techniques for Better Predictive Modeling and Analysis of Big Data, Third Edition

Nicu Sebe, Ira Cohen, Ashutosh Garg, Thomas S. Huang — Machine Learning for Audio, Image and Video Analysis - Theory and Applications

Drew Conway, John Myles White — Machine Learning for Hackers

Mike Barlow — Learning to Love Data Science: Explorations of Emerging Technologies and Platforms for Predictive Analytics, Machine Learning, Digital Manufacturing and Supply Chain Optimization

Clarence Chio; David Freeman — Machine Learning and Security: Protecting Systems with Data and Algorithms

Falk, Tiago H.; Sejdic, Ervin — Signal processing and machine learning for biomedical big data

Raúl Garreta, Guillermo Moncecchi — Learning scikit-learn: Machine Learning in Python

Sebastian Raschka — Python Machine Learning

Yu-Wei, David Chiu — Machine Learning with R Cookbook: Explore over 110 recipes to analyze data and build predictive models with the simple and easy-to-use R code

Atul Tripathi — Practical machine learning cookbook

Dusty Phillips, Fabrizio Romano, Phuong Vo.T.H, Martin Czygan, Robert Layton — Python: Real-World Data Science: A course in four modules

László Györfi, György Ottucsák, Harro Walk (eds.) — Machine Learning For Financial Engineering

Jason Brownlee — Master Machine Learning Algorithms - Discover How They Work And Implement Them From Scratch

Jason Brownlee — Master Machine Learning Algorithms: Discover How They Work and Implement Them From Scratch

Nooruddin Abbas Ali — Predictive Analytics for the Modern Enterprise (Early Release)

John D. Kelleher;Brian Mac Namee;Aoife D'Arcy; — Fundamentals of Machine Learning for Predictive Data Analytics

Mots Clefs