Computer science

A field guide for the unique challenges of data science leadership, filled with transformative insights, personal experiences, and industry examples.

Unlock the TensorFlow design secrets behind successful deep learning applications!

Grokking Deep Reinforcement Learning uses engaging exercises to teach you how to build deep learning systems.

Massive modern datasets make traditional data structures and algorithms grind to a halt.

Sharpen your coding skills by exploring established computer science problems!

Software Telemetry shows you how to efficiently collect, store, and analyze system and application log data so you can monitor and improve your systems.

Summary Companies small and large are initiating AI projects, investing vast sums of money on software, developers, and data scientists.

SummaryDeep Learning for Search teaches you how to improve the effectiveness of your search by implementing neural network-based techniques.

Master the wicked-fast Apache Kafka streaming platform through hands-on examples and real-world projects.

SummaryClassic Computer Science Problems in Swift invites readers to invest their energy in some foundational techniques that have been proven to stand the test of time.

SummaryBeyond Spreadsheets with R shows you how to take raw data and transform it for use in computations, tables, graphs, and more.

The one [and only] book on implementing microservices with a real-world, cover-to-cover example you can relate to.

A great book with deep insights into the bridge between programming and the human mind.

SummaryUsability Matters: Mobile-first UX for developers and other accidental designers gives you practical advice and guidance on how to create attractive, elegant, and useful user interfaces for native and web-based mobile apps.

SummaryEvent Streams in Action is a foundational book introducing the ULP paradigm and presenting techniques to use it effectively in data-rich environments.

SummaryReactive Application Development is a hands-on guide that teaches you how to build reliable enterprise applications using reactive design patterns.

SummaryArcGIS Web Development is an example-rich tutorial designed to teach developers to use the ArcGIS JavaScript API to build custom GIS web applications.

Practical techniques for writing code that is robust, reliable, and easy for team members to understand and adapt.

From start to finish, the best book to help you learn AI algorithms and recall why and how you use them.

SummaryConcurrency in .

SummaryTesting Angular Applications is an example-rich, hands-on guide that gives you the real-world techniques you need to thoroughly test all parts of your Angular applications.

Micro Frontends in Action teaches you to apply the microservices approach to the frontend.

There's a great deal of wisdom in a crowd, but how do you listen to a thousand people talking at once?

SummarySOA Patterns provides architectural guidance through patterns and antipatterns.

Build predictive models from time-based patterns in your data.

SummaryAlgorithms of the Intelligent Web, Second Edition teaches the most important approaches to algorithmic web data analysis, enabling you to create your own machine learning applications that crunch, munge, and wrangle data collected from users, web applications, sensors and website logs.

SummaryMaking Sense of NoSQL clearly and concisely explains the concepts, features, benefits, potential, and limitations of NoSQL technologies.

Deliver huge improvements to your machine learning pipelines without spending hours fine-tuning parameters!

SummaryD3.

Summary The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source.

SummaryRxJava for Android Developers teaches you how to build fast, fluid, and reactive mobile apps for Android with RxJava.

PostGIS in Action, Third Edition shows you how to solve real-world geodata problems.

SummaryData Wrangling with JavaScript is hands-on guide that will teach you how to create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies.

Use Infrastructure as Code (IaC) to automate, test, and streamline infrastructure for business-critical systems.

SummarySpark in Action teaches you the theory and skills you need to effectively handle batch and streaming data using Spark.

Time to flex your machine learning muscles!

Take the next steps in your data science career!

Human-in-the-Loop Machine Learning lays out methods for humans and machines to work together effectively.

In Self-Sovereign Identity: Decentralized digital identity and verifiable credentials, you'll learn how SSI empowers us to receive digitally-signed credentials, store them in private wallets, and securely prove our online identities.

A thorough guide to the entire process of designing and implementing virtual assistants.

Simplify data science infrastructure to give data scientists an efficient path from prototype to production.

Hit the ground running with this in-depth introduction to the NLP skills and techniques that allow your computers to speak human.

SummaryDask is a native parallel analytics tool designed to integrate seamlessly with the libraries you're already using, including Pandas, NumPy, and Scikit-Learn.

SummaryOculus Rift in Action introduces the powerful Oculus Rift headset and teaches you how to integrate its many features into 3D games and other virtual reality experiences.

SummaryFunctional Reactive Programming teaches the concepts and applications of FRP.

SummaryBDD in Action teaches you the Behavior-Driven Development model and shows you how to integrate it into your existing development process.

SummaryElasticsearch in Action teaches you how to build scalable search applications using Elasticsearch.

Summary PostGIS in Action, Second Edition teaches readers of all levels to write spatial queries that solve real-world problems.

SummaryGeoprocessing with Python teaches you how to use the Python programming language, along with free and open source tools, to read, write, and process geospatial data.

SummaryF# Deep Dives presents a collection of real-world F# techniques, each written by expert practitioners.