Data Science on AWS
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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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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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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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Nexus: A Brief History of Information Networks from the Stone Age to AI
From the author of Sapiens comes the groundbreaking story of how information networks have made, and unmade, our world.
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For the last 100,000 years, we Sapiens have accumulated enormous power. But despi… -
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Site Reliability Engineering: How Google Runs Production Systems
The overwhelming majority of a software system's lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the desig…
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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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Foundation (Foundation, #1)
The first novel in Isaac Asimov's classic science-fiction masterpiece, the Foundation series
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For twelve thousand years the Galactic Empire has ruled supreme. Now it is dying. But only Hari Seldon, cre… -
Rendezvous with Rama (Rama, #1)
At first, only a few things are known about the celestial object that astronomers dub Rama. It is huge, weighing more than ten trillion tons. And it is hurtling through the solar system at an inconcei…
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The Book of Why: The New Science of Cause and Effect
A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence
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"Correlation is not causation." Th… -
Clear Thinking: Turning Ordinary Moments into Extraordinary Results
AN INSTANT NEW YORK TIMES BESTSELLER
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Few things will change your trajectory in life or business as much as learning to think clearly. Yet few of us recognize opportunities to think in the first place.
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Range: Why Generalists Triumph in a Specialized World
What's the most effective path to success in any domain? It's not what you think.
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Plenty of experts argue that anyone who wants to develop a skill, play an instrument, or lead their field should s… -
AI Engineering: Building Applications with Foundation Models
Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has trans…
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The Indifferent Stars Above: The Harrowing Saga of a Donner Party Bride
In April of 1846, twenty-one-year-old Sarah Graves, intent on a better future, set out west from Illinois with her new husband, her parents, and eight siblings. Seven months later, after joining a par…
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Superintelligence: Paths, Dangers, Strategies
Superintelligence asks the questions: what happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? Nick Bostrom lays the foundation for understanding t…
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Fundamentals of Software Architecture: An Engineering Approach
Although salary surveys worldwide regularly identify software architect as one of the top ten best jobs, no decent guides exist to help developers become architects. Until now. This practical guide pr…
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Das Kapital
Das Kapital, Karl Marx's seminal work, is the book that above all others formed the twentieth century. From Kapital sprung the economic and political systems that at one time dominated half the earth …
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MLOps Engineering at Scale
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Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
The design patterns in this book capture best practices and solutions to recurring problems in machine learning. Authors Valliappa Lakshmanan, Sara Robinson, and Michael Munn catalog the first tried-a…
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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspecti…
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