Mining of Massive Datasets (Third Edition)

Main
Computers - Computer Science
Mining of Massive Datasets (Third...

Mining of Massive Datasets (Third Edition)

Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman

5.0 / 5.0

Jak bardzo podobała Ci się ta książka?

Jaka jest jakość pobranego pliku?

Pobierz książkę, aby ocenić jej jakość

Jaka jest jakość pobranych plików?

Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike

Kategorie:

Computers - Computer Science

Rok:

2019

Wydanie:

3

Wydawnictwo:

Cambridge University Press

Język:

english

Strony:

603

ISBN 10:

1108476341

ISBN 13:

9781108476348

Plik:

PDF, 3.52 MB

IPFS:

,

english, 2019

Czytaj Online

Trwa konwersja do

Konwersja do nie powiodła się

Możesz być zainteresowany

Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola — Dive into Deep Learning

it-ebooks — Mining Massive Data Sets Reading Material (Stanford CS246)

（清）陈士铎著 — 中医非物质文化遗产临床经典读本辨证奇闻

Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman — Mining of Massive Datasets

Dan Jurafsky and James H. Martin — Speech and Language Processing (3rd ed. draft)

Avrim Blum, John Hopcroft, Ravindran Kannan — Foundations of Data Science

Jeffrey D Ullman — Mining of Massive DataSets

Jiawei Han, Micheline Kamber, Jian Pei — Data Mining Concepts and Techniques Third Edition

Bengio, Yoshua; Courville, Aaron; Goodfellow, Ian J — Deep learning: adaptive computation and machine learning

Pang-Ning Tan, Michael Steinbach, Vipin Kumar — Introduction to Data Mining

William W. Hines, Douglas C. Montgomery, David M. Goldsman, Connie M. Borror — Probability and Statistics in Engineering

David G. Stork — Solution Manual to accompany Pattern Classification (2nd ed.)

David Easley, Jon Kleinberg — Networks, Crowds, and Markets: Reasoning About a Highly Connected World

Rajeev Motwani, Prabhakar Raghavan — Randomized Algorithms

Dietmar Jannach, Markus Zanker, Alexander Felfernig, Gerhard Friedrich — Recommender Systems: An Introduction

Mohammed J. Zaki, Wagner Meira Jr. — Data Mining and Analysis: Fundamental Concepts and Algorithms

Christopher D Manning; Prabhakar Raghavan; Hinrich Schutze — Introduction to information retrieval

Viktor Mayer-Schonberger & Kenneth Cukier — Big Data: A Revolution That Will Transform How We Live, Work, and Think

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

Alfred V. Aho, Jeffrey D. Ullman — Foundations of Computer Science: C Edition

Wes McKinney — Python for Data Analysis, 3rd Edition (Second Early Release)

Anand Rajaraman, Jeffrey David Ullman — Mining of Massive Datasets

Zafarani R., Abbasi M.A., Liu H. — Social Media Mining: An Introduction

Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman — Mining of Massive Datasets

Peter Flach — Machine Learning: The Art and Science of Algorithms that Make Sense of Data

Mohammed J. Zaki, Wagner Meira Jr — Data Mining and Machine Learning: Fundamental Concepts and Algorithms

Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman — Mining of Massive Datasets [Team-IRA]

Tor Lattimore, Csaba Szepesvári — Bandit Algorithms

Yao Ma, Jiliang Tang — Deep Learning on Graphs

Bill Franks — Taming the big data tidal wave: finding opportunities in huge data streams with advanced analytics

Tom White — Hadoop: The Definitive Guide, 3rd Edition

Donald Miner, Adam Shook — MapReduce Design Patterns: Building Effective Algorithms and Analytics for Hadoop and Other Systems

Holden Karau, Andy Konwinski, Patrick Wendell, Matei Zaharia — Learning Spark: Lightning-Fast Big Data Analysis

Cathy O'Neil, Rachel Schutt — Doing Data Science

Andreas C. Müller, Sarah Guido — Introduction to Machine Learning with Python: A Guide for Data Scientists

Tom White — Hadoop: The Definitive Guide

Ted Dunning, Ellen Friedman — Practical Machine Learning: A New Look at Anomaly Detection

Aurelien Geron [Géron, Aurélien] — Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Yaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin — Learning From Data: A short course

Alex Holmes — Hadoop in Practice, 2nd Edition

Stephan Raaijmakers — Deep Learning for Natural Language Processing (MEAP V07)

Dzejla Medjedovic, Emin Tahirovic, Ines Dedovic — Algorithms and Data Structures for Massive Datasets (MEAP v8)

Najbardziej popularne frazy

Powiązane listy książek