Reinforcement Learning Algorithms with Python : Learn, understand, and develop smart algorithms for addressing AI challenges

Reinforcement Learning Algorithms with Python : Learn, understand, and develop smart algorithms for addressing AI challenges

Enregistré dans:

Détails bibliographiques
Auteur principal:	Lonza, Andrea. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2019.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Python reinforcement learning : solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow
Publié: (2019)

Python reinforcement learning projects : eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
par: Saito, Sean.
Publié: (2018)

Hands-on reinforcement learning with Python : master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
par: Ravichandiran, Sudharsan.
Publié: (2018)

Learning genetic algorithms with Python : empower the performance of machine learning and AI models with the capabilities of a powerful search algorithm
par: Gridin, Ivan.

Mastering Reinforcement Learning with Python : Build next-generation, self-learning models using reinforcement learning techniques and best practices
par: Bilgin, Enes.
Publié: (2020)

The Reinforcement Learning Workshop : Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems
par: Palmas, Alessandro.
Publié: (2020)

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

Deep Reinforcement Learning with Python : Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow
par: Ravichandiran, Sudharsan.
Publié: (2020)

Hands-On Deep Learning Algorithms with Python : Master deep learning algorithms with extensive math by implementing them using TensorFlow
par: Ravichandiran, Sudharsan.
Publié: (2019)

Hands-On Genetic Algorithms with Python : Apply genetic algorithms to solve real-world AI and machine learning problems
par: Wirsansky, Eyal (?).

Machine learning algorithms : popular algorithms for data science and machine learning
par: Bonaccorso, Giuseppe.
Publié: (2018)

Keras reinforcement learning projects : 9 projects exploring popular reinforcement learning techniques to build self-learning agents
par: Ciaburro, Giuseppe (19..-....).
Publié: (2018)

Machine Learning and Deep Learning Algorithms : Tools and Techniques Using MATLAB and Python
par: Kumar Pandey, Abhishek.

Machine Learning Algorithms : Reference guide for popular algorithms for data science and machine learning
par: Bonaccorso, Bonaccorso.
Publié: (2017)

PyTorch 1.x reinforcement learning cookbook : over 60 recipes to design, develop, and deploy self-learning AI models using Python
par: Liu, Yuxi (Hayden).
Publié: (2019)

Reinforcement learning with TensorFlow : a beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
par: Dutta, Sayon.
Publié: (2018)

Mastering machine learning algorithms : expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work
par: Bonaccorso, Giuseppe.
Publié: (2020)

Learn Algorithmic Trading : Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis
par: Donadio, Sebastien.
Publié: (2019)

Algorithms and Data Structures with Python : A comprehensive guide to data structures & algorithms via an interactive learning experience

Python and Algorithmic Thinking for the Complete Beginner : Learn to think like a programmer by mastering Python programming and algorithmic foundations
par: Bouras, Aristides.

Hands-On Genetic Algorithms with Python : Applying genetic algorithms to solve real-world deep learning and artiﬁcial intelligence problems
par: Wirsansky, Eyal.
Publié: (2020)

Hands-on Supervised Learning with Python : Learn How to Solve Machine Learning Problems with Supervised Learning Algorithms Using Python
par: Shang, Madeleine.

Mastering Classification Algorithms for Machine Learning : Learn how to apply Classification algorithms for effective Machine Learning solutions
par: Majumdar, Partha.

Learn AI with Python : Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and Keras
par: Leekha, Gaurav.

Hands-On Reinforcement Learning for Games : Implementing self-learning agents in games using artiﬁcial intelligence techniques
par: Lanham, Micheal.
Publié: (2020)

Mastering machine learning algorithms : expert techniques to implement popular machine learning algorithms and fine-tune your models
par: Bonaccorso, Giuseppe.
Publié: (2018)

Learning functional data structures and algorithms
par: Khot, Atul S..
Publié: (2017)

Python data structures and algorithms
par: Baka, Benjamin.
Publié: (2017)

Python for Algorithmic Trading Cookbook : Recipes for designing, building, and deploying algorithmic trading strategies with Python
par: Strimpel, Jason.

Machine Learning with Python : Unlocking AI Potential with Python and Machine Learning
par: Theobald, Oliver.

Python Algorithmic Trading Cookbook : All the recipes you need to implement your own algorithmic trading strategies in Python
par: Dagade, Pushpak.
Publié: (2020)

Introduction to Algorithms for Data Mining and Machine Learning
par: Yang, Xin-She (19..-....).
Publié: (2019)

Genetic algorithms in search, optimization, and machine learning
par: Goldberg, David Edward, 1953-
Publié: (1989)

Learning F# functional data structures and algorithms
par: Masood, Adnan.
Publié: (2015)

Learning JavaScript data structures and algorithms
par: Groner, Loiane.
Publié: (2014)

Learning JavaScript data structures and algorithms
par: Groner, Loiane.
Publié: (2016)

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)

Modern Graph Theory Algorithms with Python : Harness the power of graph algorithms and real-world network applications using Python
par: Farrelly, Colleen M..

Python machine learning Blueprints : put your machine learning concepts to the test by developing real-world smart projects
par: Combs, Alexander.
Publié: (2019)

Machine Learning for Algorithmic Trading : Predictive models to extract signals from market and alternative data for systematic trading strategies with Python
par: Jansen, Stefan.
Publié: (2020)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1