Hands-On Deep Learning with Apache Spark. Build and deploy distributed deep learning applications on Apache Spark

Guglielmo Iozzia

Hands-On Genetic Algorithms with Python. Apply genetic algorithms to solve real-world AI and machine learning problems - Second Edition

Eyal Wirsansky

Hands-On Intelligent Agents with OpenAI Gym. Your guide to developing AI agents using deep reinforcement learning

Palanisamy P

Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine

Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier

Hands-On Machine Learning with Azure. Build powerful models with cognitive machine learning and artificial intelligence

Thomas K Abraham, Parashar Shah, Jen Stirrup, Lauri Lehman, ...

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

Burak Kanber

Hands-On Markov Models with Python. Implement probabilistic models for learning complex data sequences using the Python ecosystem

Ankur Ankan, Abinash Panda

Hands-On Natural Language Processing with Python. A practical guide to applying deep learning architectures to your NLP applications

Rajesh Arumugam, Rajalingappaa Shanmugamani, Auguste Byiringiro, Chaitanya Joshi, ...

Hands-On Neural Network Programming with C#. Add powerful neural network capabilities to your C# enterprise applications

Matt R. Cole

Hands-On Predictive Analytics with Python. Master the complete predictive analytics process, from problem definition to model deployment

Alvaro Fuentes

Hands-On Recommendation Systems with Python. Start building powerful and personalized, recommendation engines with Python

Rounak Banik

Hands-On Reinforcement Learning with Python. Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow

Sudharsan Ravichandiran

Hands-On Transfer Learning with Python. Implement advanced deep learning and neural network models using TensorFlow and Keras

Dipanjan Sarkar, Raghav Bali, Tamoghna Ghosh

Hands-On Unsupervised Learning with Python. Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more

Giuseppe Bonaccorso

Hurtownie danych. Od przetwarzania analitycznego do raportowania

Adam Pelikant

IBM SPSS Modeler Essentials. Effective techniques for building powerful data mining and predictive analytics solutions

Jesus Salcedo, Keith McCormick

IBM Watson Projects. Eight exciting projects that put artificial intelligence into practice for optimal business performance

James D. Miller

Implementing Splunk 7. Effective operational intelligence to transform machine-generated data into valuable business insight - Third Edition

James D. Miller

In-Memory Analytics with Apache Arrow. Perform fast and efficient data analytics on both flat and hierarchical structured data

Matthew Topol, Wes McKinney

Intelligent Projects Using Python. 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras

Santanu Pattanayak

Java Data Analysis. Data mining, big data analysis, NoSQL, and data visualization

John R. Hubbard

Java Deep Learning Projects. Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs

Md. Rezaul Karim

Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science

Richard M. Reese, Jennifer L. Reese

Julia Programming Projects. Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web

Adrian Salceanu