Résultats de la recherche

226

Hands-On Neuroevolution with Python : Build high-performing artiﬁcial neural network architectures using neuroevolution-based algorithms

par Omelianenko, Iaroslav.
Publié 2019

Accès à l'E-book

E-Book

227

Hands-on Supervised Learning with Python : Learn How to Solve Machine Learning Problems with Supervised Learning Algorithms Using Python

par Shang, Madeleine.

Accès à l'E-book

E-Book

228

The machine learning workshop : get ready to develop your own high-performance machine learning algorithms with scikit-learn

par Saleh, Hyatt.
Publié 2020

Accès à l'E-book

E-Book

229

Fuzzy neural networks for real time control applications : concepts, modeling and algorithms for fast learning

par Kayacan, Erdal (19..-....).
Publié 2015

Accès à l'E-book

E-Book

230

Deep Learning on Edge Computing Devices : Design Challenges of Algorithm and Architecture

par Zhou, Xichuan.
Publié 2022

Accès à l'E-book

E-Book

231

Machine Learning with Scala Quick Start Guide : Leverage popular machine learning algorithms and techniques and implement them in Scala

par Karim, Rezaul Md..
Publié 2019

Accès à l'E-book

E-Book

232

Programmation efficace : les 128 algorithmes qu'il faut avoir compris et codés en Python au cours de sa vie : préparation aux concours de programmation

par Dürr, Christoph.
Publié 2016

Livre

233

Practical Deep Reinforcement Learning with Python : Concise Implementation of Algorithms, Simplified Maths, and Effective Use of TensorFlow and PyTorch

par Gridin, Ivan.

Accès à l'E-book

E-Book

234

$Practical Discrete Mathematics : Discover math principles that fuel algorithms for computer science and machine learning with Python$

Practical Discrete Mathematics : Discover math principles that fuel algorithms for computer science and machine learning with Python

par White, Ryan T..
Publié 2021

Accès à l'E-book

E-Book

235

Learning predictive analytics with Python : gain practical insights into predictive modelling by implementing predictive analytics algorithms on public datasets with Python

par Kumar, Ashish (19..-....).
Publié 2016

Accès à l'E-book

E-Book

236

Zero to Hero in Cryptocurrency Trading : Learn to trade on a centralized exchange, understand trading psychology, and implement a trading algorithm

par Vaida, Bogdan.

Accès à l'E-book

E-Book

237

Éléments de programmation : de l'algorithme au programme Python

par Peschanski, Frédéric (1973-....).

Accès à l'E-book

E-Book

238

Quantum Computing in Practice with Qiskit® and IBM Quantum Experience® : Practical recipes for quantum computer coding at the gate and algorithm level with Python

par Norlen, Hassi.
Publié 2020

Accès à l'E-book

E-Book

239

Hands-On Machine Learning with ML.NET : Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#

par Capellman, Jarred.
Publié 2020

Accès à l'E-book

E-Book

240

Hands-On Machine Learning with IBM Watson : Leverage IBM Watson to Implement Machine Learning Techniques and Algorithms Using Python

par Miller, James D..
Publié 2019

Accès à l'E-book

E-Book

241

Machine Learning for Biometrics : Concepts, Algorithms and Applications

par Sarangi, Partha Pratim (19..-....).
Publié 2022

Accès à l'E-book

E-Book

242

Graph Machine Learning : Take graph data to the next level by applying machine learning techniques and algorithms

par Stamile, Claudio (19..-....; chercheur en informatique).
Publié 2021

Accès à l'E-book

E-Book

243

Machine learning for cybersecurity cookbook : over 80 recipes on how to implement machine learning algorithms for building security systems using Python

par Tsukerman, Emmanuel.
Publié 2019

Accès à l'E-book

E-Book

244

$15 Math Concepts Every Data Scientist Should Know : Understand and learn how to apply the math behind data science algorithms$

15 Math Concepts Every Data Scientist Should Know : Understand and learn how to apply the math behind data science algorithms

par Hoyle, David.

Accès à l'E-book

E-Book

245

3D Graphics Rendering Cookbook : A comprehensive guide to exploring rendering algorithms in modern OpenGL and Vulkan

par Kosarevsky, Sergey.

Accès à l'E-book

E-Book

246

Machine Learning Guide for Oil and Gas Using Python : A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications

par Belyadi, Hoss.
Publié 2021

Accès à l'E-book

E-Book

247

Learn Unity ML-Agents - fundamentals of Unity Machine Learning : ncorporate new powerful ML algorithms such as Deep Reinforcement Learning for games

par Lanham, Micheal.
Publié 2018

Accès à l'E-book

E-Book

248

Python reinforcement learning projects : eight hands-on projects exploring reinforcement learning algorithms using TensorFlow

par Saito, Sean.
Publié 2018

Accès à l'E-book

E-Book

249

Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits : A practical guide to implementing supervised and unsupervised machine learning algorithms in Python

par Amr, Tarek (19..-....).
Publié 2020

Accès à l'E-book

E-Book

250

The Supervised Learning Workshop : A New, Interactive Approach to Understanding Supervised Learning Algorithms

par Bateman, Blaine.
Publié 2020

Accès à l'E-book

E-Book

Restreindre la recherche