TensorFlow Machine Learning Cookbook.
Advanced computer vision with TensorFlow 2.x build advanced computer vision applications using machine learning and deep learning techniques /
TensorFlow 2. 0 Computer Vision Cookbook : Implement Machine Learning Solutions to Overcome Various Computer Vision Challenges.
Python for TensorFlow : pocket primer /
THE TENSORFLOW WORKSHOP : a hands-on guide to building deep learning models from scratch using real-world datasets.
ADVANCED DEEP LEARNING WITH TENSORFLOW 2 AND KERAS : APPLY DL, GANS, VAES, DEEP RL, UNSUPERVISED LEARNING, OBJECT DETECTION AND SEGMENTATION, AND MORE.
Mastering TensorFlow 1.x : advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras /
TensorFlow 1.x deep learning cookbook : over 90 unique recipes to solve artificial-intelligence driven problems with Python /
MACHINE LEARNING USING TENSORFLOW COOKBOOK : over 60 recipes on machine learning using deep ... learning solutions from kaggle masters and google.
Machine Learning Methods for Engineering Application Development.
Practical machine learning cookbook : resolving and offering solutions to your machine learning problems with R /
Java deep learning cookbook : train neural networks for classification, NLP, and reinforcement learning using deeplearning4j /
Towards a Theory for Designing Machine Learning Systems for Complex Decision Making Problems.
Ensemble Machine Learning Cookbook : Over 35 Practical Recipes to Explore Ensemble Machine Learning Techniques Using Python.
Automated machine learning on AWS : fast-track the development of your production-ready machine learning applications the AWS way /
TinyML Cookbook : combine artificial intelligence and ultra-low-power embedded devices to make the world smarter /
AUTOMATED MACHINE LEARNING hyperparameter optimization, neural architecture search, and... algorithm selection with cloud platforms.
Maquina de entrenamiento comprimido basada en Extreme Learning Machine MEC-ELM.
The Kaggle book : data analysis and machine learning for competitive data science /
Reinforcement learning with TensorFlow : a beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym /
Natural language processing and computational linguistics : a practical guide to text analysis with Python, Gensim, spaCy, and Keras /
Mastering machine learning with R : advanced prediction, algorithms, and learning methods with R 3.x /
Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow /
Advances in large margin classifiers /
Machine learning and artificial intelligence : proceedings of MLIS 2020 /
Artificial intelligence by example : develop machine intelligence from scratch using real artificial intelligence use cases /
Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark /
Mastering machine learning algorithms : expert techniques to implement popular machine learning algorithms and fine-tune your models /
Machine learning with Go : implement regression, classification, clustering, time-series models, neural networks, and more using the Go programming language /
Python deep learning cookbook : over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python /
Dynamic fuzzy machine learning /
Data Science with Python : Combine Python with Machine Learning Principles to Discover Hidden Patterns in Raw Data.
Engineering MLOps : rapidly build, test, and manage production-ready machine learning life cycles at scale /
Mastering Machine Learning Algorithms : Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work, 2nd Edition. /
Python : deeper insights into machine learning : leverage benefits of machine learning techniques using Python : a course in three modules.
Data analysis with Python : a modern approach /
Machine Learning Algorithms : Popular Algorithms for Data Science and Machine Learning, 2nd Edition.
Machine Learning Engineering with Python : Manage the Production Life Cycle of Machine Learning Models Using MLOps with Practical Examples.
Data Science for Business and Decision Making : an introductory Text for Students and Practitioners /
Machine learning in asset pricing /
OpenCV 3 computer vision with Python cookbook : leverage the power of OpenCV 3 and Python to build computer vision applications /
TensorFlow 2 Reinforcement Learning Cookbook : Over 50 Recipes to Help You Build, Train, and Deploy Learning Agents for Real-World Applications.