Books similar like Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow

Hands-On Machine Learning with Scikit-Learn and TensorFlow

A series of Deep Learning breakthroughs have boosted the whole field of machine learning over the last decade. Now that machine learning is thriving, even programmers who know close to nothing about t…

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Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play

Generative modeling is one of the hottest topics in artificial intelligence. Recent advances in the field have shown how it's possible to teach a machine to excel at human endeavors--such as drawing, …

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Build a Large Language Model

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Natural Language Processing with Transformers: Building Language Applications with Hugging Face

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data …

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Learning Domain-Driven Design: Aligning Software Architecture and Business Strategy

Building software is harder than ever. As a developer, you not only have to chase ever-changing technological trends but also need to understand the business domains behind the software. This practica…

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Advanced Analytics with Spark

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Clean Code: A Handbook of Agile Software Craftsmanship

Even bad code can function. But if code isn't clean, it can bring a development organization to its knees. Every year, countless hours and significant resources are lost because of poorly written code…

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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with dat…

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Designing Data-Intensive Applications

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, w…

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Reliable Machine Learning: Applying SRE Principles to ML in Production

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Homo Deus: A History of Tomorrow

Yuval Noah Harari, author of the critically-acclaimed New York Times bestseller and international phenomenon Sapiens, returns with an equally original, compelling, and provocative book, turning his fo…

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Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'l…

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