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Knjige predložene za prevod

Mašinsko učenje

Ukupno: 27, strana 1 od 2

Zero to AI

Zero to AI

Godina izdanja: 2020.
Broj strana: 264
Predlog za prevod

The best book, currently, on realistic AI applications: factual, accurate, and hype-free. Alain Couniot, Sopra Steria Benelux How can artificial intelligence transform your business? In Zero to AI, you’ll explore a variety of practical AI applications you can use to improve customer experiences, optimize marketing, help you cut costs, and more. In this engaging guide written for business leaders and technology pros alike, authors and AI experts Nicolò Valigi and Gianluca Mauro use fascinating projects, hands-on activities, and real-world explanations to make it clear how your business can benefit from AI.
 
 
Hands-On Deep Learning Algorithms with Python

Hands-On Deep Learning Algorithms with Python

Sudharsan Ravichandiran

Godina izdanja: 2020.
Broj strana: 512
Predlog za prevod

Understand basic to advanced deep learning algorithms by implementing them from scratch, along with their practical applications
 
 
Hands-On Machine Learning for Cybersecurity

Hands-On Machine Learning for Cybersecurity

Soma Halder, Sinan Ozdemir

Godina izdanja: 2020.
Broj strana: 318
Predlog za prevod

Get into the world of smart data security using machine learning algorithms and Python libraries
 
 
Hands-On Machine Learning with TensorFlow.js

Hands-On Machine Learning with TensorFlow.js

Kai Sasaki

Godina izdanja: 2019.
Broj strana: 296
Predlog za prevod

Get hands-on with the browser-based JavaScript library for training and deploying machine learning models effectively
 
 
Practical Data Science with R, Second Edition

Practical Data Science with R, Second Edition

Nina Zumel and John MountForeword by Jeremy Howard and Rachel Thomas

Godina izdanja: 2019.
Broj strana: 568
Predlog za prevod

Full of useful shared experience and practical advice. Highly recommended. From the Foreword by Jeremy Howard and Rachel Thomas Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field of data science. You’ll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.
 
 
Hands-On Machine Learning with Microsoft Excel 2019

Hands-On Machine Learning with Microsoft Excel 2019

Julio Cesar Rodriguez Martino

Godina izdanja: 2019.
Broj strana: 254
Predlog za prevod

A practical guide to getting the most out of Excel, using it for data preparation, applying machine learning models (including cloud services) and understanding the outcome of the data analysis.
 
 
Machine Learning with R - Third Edition

Machine Learning with R - Third Edition

Brett Lantz

Godina izdanja: 2019.
Broj strana: 458
Predlog za prevod

Solve real-world data problems with R and machine learning
 
 
Machine Learning with AWS

Machine Learning with AWS

Jeffrey Jackovich, Ruze Richards

Godina izdanja: 2018.
Broj strana: 254
Predlog za prevod

Use artificial intelligence and machine learning on AWS to create engaging applications
 
 
Mastering Machine Learning Algorithms

Mastering Machine Learning Algorithms

Giuseppe Bonaccorso

Godina izdanja: 2018.
Broj strana: 576
Predlog za prevod

Explore and master the most important algorithms for solving complex machine learning problems.
 
 
Hands-on Machine Learning with JavaScript

Hands-on Machine Learning with JavaScript

Burak Kanber

Godina izdanja: 2018.
Broj strana: 356
Predlog za prevod

A definitive guide to creating an intelligent web application with the best of machine learning and JavaScript
 
 
MATLAB for Machine Learning

MATLAB for Machine Learning

Giuseppe Ciaburro

Godina izdanja: 1970.
Broj strana: 382
Predlog za prevod

Extract patterns and knowledge from your data in easy way using MATLAB
 
 
Principles of Data Science

Principles of Data Science

Sinan Ozdemir

Godina izdanja: 2017.
Broj strana: 388
Predlog za prevod

Learn the techniques and math you need to start making sense of your data
 
 
Python Machine Learning By Example

Python Machine Learning By Example

Yuxi (Hayden) Liu

Godina izdanja: 2017.
Broj strana: 254
Predlog za prevod

Take tiny steps to enter the big world of data science through this interesting guide
 
 
Effective Amazon Machine Learning

Effective Amazon Machine Learning

Alexis Perrier

Godina izdanja: 2017.
Broj strana: 306
Predlog za prevod

Learn to leverage Amazon's powerful platform for your predictive analytics needs
 
 
Practical Machine Learning Cookbook

Practical Machine Learning Cookbook

Atul Tripathi

Godina izdanja: 2017.
Broj strana: 570
Predlog za prevod

Building Machine Learning applications with R
 
 
Learning Apache Spark 2

Learning Apache Spark 2

Muhammad Asif Abbasi

Godina izdanja: 2017.
Broj strana: 356
Predlog za prevod

Learn about the fastest-growing open source project in the world, and find out how it revolutionizes big data analytics
 
 
Machine Learning with TensorFlow

Machine Learning with TensorFlow

Saif Ahmed

Godina izdanja: 2017.
Broj strana: 301
Predlog za prevod

Tackle common commercial machine learning problems with Google’s TensorFlow library and build deployable solutions
 
 
Real-Time Big Data Analytics

Real-Time Big Data Analytics

Sumit Gupta, Shilpi

Godina izdanja: 2016.
Broj strana: 326
Predlog za prevod

Design, process, and analyze large sets of complex data in real time
 
 
Big Data Analytics

Big Data Analytics

Venkat Ankam

Godina izdanja: 2016.
Broj strana: 326
Predlog za prevod

A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters
 
 
Mastering Scala Machine Learning

Mastering Scala Machine Learning

Alex Kozlov

Godina izdanja: 2016.
Broj strana: 310
Predlog za prevod

Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop
 
 
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