Hands-on Machine Learning with JavaScript : Solve complex computational web problems using machine learning.

Mastering Java machine learning : mastering and implementing advanced techniques in machine learning /

Ensemble Machine Learning Cookbook : Over 35 Practical Recipes to Explore Ensemble Machine Learning Techniques Using Python.

The the Deep Learning with Pytorch Workshop : Build Deep Neural Networks and Artificial Intelligence Applications with Pytorch.

ADVANCED DEEP LEARNING WITH TENSORFLOW 2 AND KERAS : APPLY DL, GANS, VAES, DEEP RL, UNSUPERVISED LEARNING, OBJECT DETECTION AND SEGMENTATION, AND MORE.

Hands-On Markov Models with Python : Implement Probabilistic Models for Learning Complex Data Sequences Using the Python Ecosystem.

Machine learning for developers : uplift your regular applications with the power of statistics, analytics, and machine learning /

Codeless Deep Learning with KNIME : Build, Train, and Deploy Various Deep Neural Network Architectures Using KNIME Analytics Platform.

Modern Computer Vision with Pytorch : Explore Deep Learning Concepts and Implement over 50 Real-World Image Applications.

Deep learning with PyTorch : a practical approach to building neural network models using PyTorch /

MACHINE LEARNING USING TENSORFLOW COOKBOOK : over 60 recipes on machine learning using deep ... learning solutions from kaggle masters and google.

Deep learning from the basics : Python and deep learning : theory and implementation /

Machine Learning Automation with TPOT : Build, Validate, and Deploy Fully Automated Machine Learning Models with Python.

Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow /

Python natural language processing : explore NLP with machine learning and deep learning techniques /

The deep learning with Keras workshop : learn how to define and train neural network models with just a few lines of code /

Transformers for Natural Language Processing : Build Innovative Deep Neural Network Architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and More.

Machine learning with Go : implement regression, classification, clustering, time-series models, neural networks, and more using the Go programming language /

Scala Machine Learning Projects : Build real-world machine learning and deep learning projects with Scala.

PyTorch Deep Learning Hands-On : Apply Modern AI Techniques with CNNs, RNNs, GANs, Reinforcement Learning, and More /

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 /

GeoServer Beginner's Guide /

EJB 3 developer guide : a practical guide for developers and architects to the Enterprise Java Beans standard /

Mastering microservices with Java : master the art of implementing microservices in your production environment with ease /

Learning Java by Building Android Games Learn Java and Android from scratch by building five exciting games, 3rd Edition.

Hands-on cloud-native applications with java and quarkus;build high performance, kubernetes-native java serverless applications

Digital Java EE 7 web application development : develop Java enterprise applications to meet the emerging digital standards using Java EE 7 /

Java data mining : strategy, standard, and practice : a practical guide for architecture, design, and implementation /

JIRA development cookbook : your one-stop resource for mastering extensions and customizations in JIRA 7+ /

Pentaho 8 reporting for Java developers : create pixel-perfect analytical reports using reporting tools /

Spring 5.0 cookbook : recipes to build, test and run Spring applications efficiently /

Java programming for beginners : learn the fundamentals of programming with Java /

Web applications with JavaScript or Java.

Selenium framework design in data-driven testing : build data-driven test frameworks using Selenium WebDriver, AppiumDriver, Java, and TestNG /

Spring MVC blueprints : design and implement real-world web-based applications using the Spring Framework 4.x specification based on technical documentation /

Hands-On Enterprise Java Microservices with Eclipse MicroProfile : Build and Optimize Your Microservice Architecture with Java.

Programming for Corpus Linguistics

Mihiraki de manaberu Java puroguramingu /

Hands-On Software Architecture with Java : Learn Key Architectural Techniques and Strategies to Design Efficient and Elegant Java Applications.

JMonkeyEngine 3.0 beginner's guide : develop professional 3D games for desktop, web, and mobile, all in the familiar Java programming language /

JBoss AS 7 Development.

Java deep learning cookbook : train neural networks for classification, NLP, and reinforcement learning using deeplearning4j /