Deep reinforcement learning with Python : master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow /
Reinforcement learning with TensorFlow : a beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym /
The the Deep Learning with Pytorch Workshop : Build Deep Neural Networks and Artificial Intelligence Applications with Pytorch.
Data science algorithms in a week : top 7 algorithms for scientific computing, data analysis, and machine learning /
ADVANCED DEEP LEARNING WITH TENSORFLOW 2 AND KERAS : APPLY DL, GANS, VAES, DEEP RL, UNSUPERVISED LEARNING, OBJECT DETECTION AND SEGMENTATION, AND MORE.
Machine Learning Algorithms : Popular Algorithms for Data Science and Machine Learning, 2nd Edition.
Mastering machine learning algorithms : expert techniques to implement popular machine learning algorithms and fine-tune your models /
Modern Computer Vision with Pytorch : Explore Deep Learning Concepts and Implement over 50 Real-World Image Applications.
Ensemble Machine Learning Cookbook : Over 35 Practical Recipes to Explore Ensemble Machine Learning Techniques Using Python.
Deep learning with PyTorch : a practical approach to building neural network models using PyTorch /
Deep learning from the basics : Python and deep learning : theory and implementation /
MACHINE LEARNING USING TENSORFLOW COOKBOOK : over 60 recipes on machine learning using deep ... learning solutions from kaggle masters and google.
Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow /
THE TENSORFLOW WORKSHOP : a hands-on guide to building deep learning models from scratch using real-world datasets.
Java deep learning cookbook : train neural networks for classification, NLP, and reinforcement learning using deeplearning4j /
Predicting structured data /
Transformers for Natural Language Processing : Build Innovative Deep Neural Network Architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and More.
Artificial intelligence by example : develop machine intelligence from scratch using real artificial intelligence use cases /
Advances in large margin classifiers /
TensorFlow 1.x deep learning cookbook : over 90 unique recipes to solve artificial-intelligence driven problems with Python /
The Reinforcement Learning Workshop : Learn How to Apply Cutting-Edge Reinforcement Learning Algorithms to a Wide Range of Control Problems.
Concentration of measure for the analysis of randomized algorithms /
Esquemas algoritmicos /
DESIGN AND ANALYSIS OF ALGORITHMS
Data structures and algorithms /
Concurrency : the works of Leslie Lamport /
Grammatical inference : learning automata and grammars /
Graph algorithms and applications I /
Mastering Machine Learning Algorithms : Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work, 2nd Edition. /
Permutation group algorithms /
Trading at the speed of light : how ultrafast algorithms are transforming financial markets /
Biomedical signal analysis : contemporary methods and applications /
Algorithmic game theory /
P, NP, and NP-completeness : the basics of computational complexity /
Algorithms : design techniques and analysis /
Linear Algebra Tools for Data Mining.
Rules : a short history of what we live by /