Mašinsko učenje

Ukupno: 37, strana 1 od 2

Mašinsko učenje sa C++: Algoritmi, tehnike, biblioteke i savremeni alati u praksi – drugo izdanje

Kirill Kolodiazhnyi

Godina izdanja: 2025.
Strana: 514,
2860 rsd popust do: 2002 rsd

Primena nadgledanih i nenadgledanih algoritama mašinskog učenja i biblioteka C++ programskog jezika, kao što su PyTorch C++ API, Flashlight, Blaze, mlpack i dlib, na realnim primerima i skupovima podataka.

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Mašinsko učenje i veštačka inteligencija: 30 osnovnih pitanja i odgovora

Sebastian Raschka

Godina izdanja: 2024.
Strana: 264,
2200 rsd popust do: 1540 rsd

30 osnovnih pitanja i odgovora za mašinsko učenje i veštačku inteligenciju

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Mašinsko učenje uz PyTorch i Scikit-Learn

Sebastian Raschka

Godina izdanja: 2022.
Strana: 770,
3630 rsd popust do: 2541 rsd

Razvoj modela mašinskog učenja i dubokog učenja pomoću programskog jezika Python

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Python mašinsko učenje, prevod trećeg izdanja

Sebastian Raschka, Vahid Mirjalili

Godina izdanja: 2020.
Strana: 770,
3300 rsd popust do: 2310 rsd

„Python mašinsko učenje (treće izdanje)“ je sveobuhvatan vodič za mašinsko učenje i duboko učenje upotrebom Pythona. Ova knjiga služi kao uputstvo, korak po korak, i kao referenca kojoj ćete se vraćati dok gradite sisteme mašinskog učenja.

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Osnove veštačke inteligencije i mašinskog učenja

Zsolt Nagy

Godina izdanja: 2019.
Strana: 330,
2310 rsd popust do: 1617 rsd

Kreirajte AI aplikacije u Pythonu i postavite temelje vašoj karijeri u nauci o podacima

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Deep Learning with Python, Second Edition 2nd Edition

François Chollet

Godina izdanja: 2021.
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.

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

Alexey Grigorev

Godina izdanja: 2021.
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.

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Machine Learning for Algorithmic Trading - Second Edition

Stefan Jansen

Godina izdanja: 2020.
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.

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The Deep Learning Workshop

Mirza Rahim Baig, Thomas V. Joseph, Et al

Godina izdanja: 2020.
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

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Grokking Artificial Intelligence Algorithms

Godina izdanja: 2020.
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.

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Zero to AI

Godina izdanja: 2020.
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.

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Hands-On Deep Learning Algorithms with Python

Sudharsan Ravichandiran

Godina izdanja: 2020.
Strana: 512,
Predlog za prevod

Understand basic to advanced deep learning algorithms by implementing them from scratch, along with their practical applications

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Hands-On Machine Learning for Cybersecurity

Soma Halder, Sinan Ozdemir

Godina izdanja: 2020.
Strana: 318,
Predlog za prevod

Get into the world of smart data security using machine learning algorithms and Python libraries

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Hands-On Machine Learning with TensorFlow.js

Kai Sasaki

Godina izdanja: 2019.
Strana: 296,
Predlog za prevod

Get hands-on with the browser-based JavaScript library for training and deploying machine learning models effectively

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Practical Data Science with R, Second Edition

Nina Zumel and John MountForeword by Jeremy Howard and Rachel Thomas

Godina izdanja: 2019.
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.

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Hands-On Machine Learning with Microsoft Excel 2019

Julio Cesar Rodriguez Martino

Godina izdanja: 2019.
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.

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