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Mašinsko učenje

Ukupno: 32, strana 1 od 2

Deep Learning with Python, Second Edition 2nd Edition

Deep Learning with Python, Second Edition 2nd Edition

François Chollet

Godina izdanja: 2021.
Broj strana: 504
Predlog za prevod

Unlock the groundbreaking advances of deep learning with this extensively revised new edition of the bestselling original. Learn directly from the creator of Keras and master practical Python deep learning techniques that are easy to apply in the real world.
 
 
Machine Learning Bookcamp: Build a portfolio of real-life projects

Machine Learning Bookcamp: Build a portfolio of real-life projects

Alexey Grigorev

Godina izdanja: 2021.
Broj strana: 472
Predlog za prevod

Time to flex your machine learning muscles! Take on the carefully designed challenges of the Machine Learning Bookcamp and master essential ML techniques through practical application.
 
 
Machine Learning for Algorithmic Trading - Second Edition

Machine Learning for Algorithmic Trading - Second Edition

Stefan Jansen

Godina izdanja: 2020.
Broj strana:
Predlog za prevod

The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This thoroughly revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models.
 
 
The Deep Learning Workshop

The Deep Learning Workshop

Mirza Rahim Baig, Thomas V. Joseph, Et al

Godina izdanja: 2020.
Broj strana: 474
Predlog za prevod

Take a hands-on approach to understanding deep learning and build smart applications that can recognize images and interpret text
 
 
Grokking Artificial Intelligence Algorithms

Grokking Artificial Intelligence Algorithms

Godina izdanja: 2020.
Broj strana: 392
Predlog za prevod

From start to finish, the best book to help you learn AI algorithms and recall why and how you use them. Linda Ristevski, York Region District School Board Grokking Artificial Intelligence Algorithms is a fully-illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, you’ll learn the concepts, terminology, and theory you need to effectively incorporate AI algorithms into your applications. And to make sure you truly grok as you go, you’ll use each algorithm in practice with creative coding exercises—including building a maze puzzle game, performing diamond data analysis, and even exploring drone material optimization.
 
 
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
 
 
Strane: 12

 

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