The books behind the guides.

This book chronicles the convergence of scientific discovery, political will, and global conflict that led to the development of the atomic bomb, permanently altering the nature of warfare and international relations.

A brilliant chemist defects from industry giant Merck to found a startup, Vertex Pharmaceuticals, aiming to revolutionize drug discovery by designing new medicines atom by atom, leading his team in a high-stakes race against corporate behemoths, academic rivals, and immense financial pressure.

A hands-on guide for data scientists and machine learning engineers to build, train, and optimize state-of-the-art language applications using transformer models with the Hugging Face ecosystem.

A practical, principles-based guide to information architecture—the discipline of structuring shared information environments to make content findable and understandable across websites, apps, and the broader cross-channel ecosystem.

In the age of AI, the greatest business value comes not from machines replacing humans but from humans and machines collaborating in a 'missing middle' to reimagine work and processes.

A journey through the burgeoning field of AI alignment, exploring how we can ensure machine learning systems understand and act according to human values, from present-day ethical dilemmas to future existential risks.

An interdisciplinary introduction to how the social, economic, and technological worlds are connected through networks, and how individual behavior aggregates into population-wide outcomes via structure, incentives, and feedback effects.

Rigorous, survey-based research proves that specific technical, management, and cultural capabilities causally drive software delivery performance, which in turn drives organizational performance, employee well-being, and competitive advantage.

The true story of how a neglected cancer compound sold for pennies became the blockbuster drug Imbruvica, minting billionaires and remaking the biotech industry while leaving many of its scientific creators behind.

A practical, end-to-end guide to the engineering principles and best practices required to successfully build, deploy, and maintain machine learning systems in production.

To prevent an artificial intelligence apocalypse, we must abandon the standard model of building machines that optimize fixed objectives and instead create provably beneficial machines that are uncertain about human preferences and learn them through observation.

In an age intoxicated by big data and algorithms, true insight into human behavior comes only from 'sensemaking'—rigorous cultural inquiry grounded in the humanities.

A comprehensive textbook that teaches the foundational concepts, architectures, and techniques of data warehousing and data mining and their real-world applications.

A gripping journalistic account of the brutal, high-stakes, five-year 'death march' led by legendary and volcanic programmer Dave Cutler to create Microsoft's groundbreaking Windows NT operating system, detailing the immense technical complexity, corporate power struggles, and profound personal sacrifices of the team that built it.

A gripping journalistic account of the brutal, high-stakes, five-year 'death march' led by legendary and volcanic programmer Dave Cutler to create Microsoft's groundbreaking Windows NT operating system, detailing the immense technical complexity, corporate power struggles, and profound personal sacrifices of the team that built it.

A holistic, iterative framework for designing production-ready machine learning systems that are reliable, scalable, maintainable, and adaptive across every stage from data engineering to continual learning.

The book follows the biotech firm Vertex Pharmaceuticals over two decades as it battles scientific challenges, fierce competition, and financial uncertainty to develop breakthrough drugs for serious diseases like Hepatitis C and Cystic Fibrosis.

A hands-on introduction to data science that teaches the core concepts, algorithms, and mathematics by implementing everything from scratch in Python rather than relying on existing libraries.

This book chronicles the decades-long, often-ignored quest by a small group of maverick scientists to build machines that learn like the human brain, a journey that culminated in the sudden deep learning explosion that now powers Google, Facebook, and a global AI arms race.

A practical, accessible introduction to statistical learning that teaches the major supervised and unsupervised methods for understanding and predicting from data, with hands-on Python labs.

A practical, math-light introduction to applying statistical learning and machine learning methods using the R programming environment across the full data science workflow.

An exploration of how experienced professionals make rapid, effective decisions in high-stakes, time-pressured environments by leveraging intuition, mental simulation, and other sources of power beyond formal rational analysis.

In an age intoxicated by big data and algorithms, true insight into human behavior comes only from 'sensemaking'—rigorous cultural inquiry grounded in the humanities.

Rigorous, survey-based research proves that specific technical, management, and cultural capabilities causally drive software delivery performance, which in turn drives organizational performance, employee well-being, and competitive advantage.

A hands-on, code-first guide that teaches the concepts, tools, and techniques needed to build intelligent systems using Scikit-Learn, Keras, and TensorFlow, from fundamental ML algorithms to deep learning.

Gene Kranz, NASA's legendary flight director, recounts the human ingenuity, discipline, and teamwork behind Mission Control that carried America from its first faltering rocket launches through the Moon landings and the rescue of Apollo 13.

A journey through the burgeoning field of AI alignment, exploring how we can ensure machine learning systems understand and act according to human values, from present-day ethical dilemmas to future existential risks.

A pioneering AI scientist recounts her improbable journey as an immigrant from China to the forefront of the AI revolution, revealing the human story behind the technology and advocating for a future where artificial intelligence is developed to augment human dignity.

A definitive chronicle of the Apollo moon missions, told through the personal experiences and in-depth interviews with the 24 astronauts who voyaged to the Moon.

A practical guide for product makers to devise innovative digital solutions by integrating business strategy with validated user research, competitive analysis, and frictionless UX design.

To prevent an artificial intelligence apocalypse, we must abandon the standard model of building machines that optimize fixed objectives and instead create provably beneficial machines that are uncertain about human preferences and learn them through observation.

A practitioner's guide to the 50+ core statistical concepts data scientists actually need, explaining which classical methods matter for modern data work and why.

A catalog of thirty reusable design patterns that provide proven solutions to common challenges in data preparation, model building, and MLOps for machine learning practitioners.

A hands-on guide that teaches the core algorithms of data science from scratch using spreadsheets (and finally R), so business people can understand, prototype, and deploy these techniques without first buying tools or hiring consultants.

The intimate, real-world chronicle of a small team of engineers at Data General who, under the driven leader Tom West, raced against time and rivals to design and build a 32-bit supermini computer nicknamed Eagle.

A Pulitzer Prize-winning "biography" of cancer that chronicles the 4,000-year history of the disease, detailing the scientific quest to understand its biology and the epic human struggle to treat, cure, and prevent it.

Gene Kranz, NASA's legendary flight director, recounts the human ingenuity, discipline, and teamwork behind Mission Control that carried America from its first faltering rocket launches through the Moon landings and the rescue of Apollo 13.

A brilliant chemist defects from industry giant Merck to found a startup, Vertex Pharmaceuticals, aiming to revolutionize drug discovery by designing new medicines atom by atom, leading his team in a high-stakes race against corporate behemoths, academic rivals, and immense financial pressure.

The true story of how a neglected cancer compound sold for pennies became the blockbuster drug Imbruvica, minting billionaires and remaking the biotech industry while leaving many of its scientific creators behind.

A practical, nontechnical guide showing marketers how to understand, pilot, and scale artificial intelligence to make their marketing smarter, more efficient, and more human.

This book chronicles the decades-long, often-ignored quest by a small group of maverick scientists to build machines that learn like the human brain, a journey that culminated in the sudden deep learning explosion that now powers Google, Facebook, and a global AI arms race.

A practical, non-technical guide for marketers and executives on how artificial intelligence, big data, and machine learning are transforming marketing into a data-driven, autonomous, and hyper-personalized discipline.

A practical, hands-on guide to manipulating, processing, cleaning, and analyzing structured data in Python using pandas, NumPy, and the Jupyter/IPython ecosystem.

A concise introduction to network science showing how the hidden web of connections among elements—rather than the elements themselves—governs the behavior of social, biological, technological, and economic systems.

A pioneering AI scientist recounts her improbable journey as an immigrant from China to the forefront of the AI revolution, revealing the human story behind the technology and advocating for a future where artificial intelligence is developed to augment human dignity.

This book chronicles the convergence of scientific discovery, political will, and global conflict that led to the development of the atomic bomb, permanently altering the nature of warfare and international relations.

A practical guide to operating machine learning systems reliably in production by applying Site Reliability Engineering (SRE) principles across the entire ML lifecycle.

A practitioner-oriented overview of the statistical and machine learning methods used across the data science lifecycle, emphasizing business applicability over math and code.

A comprehensive textbook that introduces the mathematical foundations, modern practical techniques, and advanced research topics of deep learning for students and software engineers.

A veteran engineering manager shares humorous and practical advice on leading technical teams, emphasizing that success comes from understanding and connecting with the chaotic, beautiful people who build software.

The intimate, real-world chronicle of a small team of engineers at Data General who, under the driven leader Tom West, raced against time and rivals to design and build a 32-bit supermini computer nicknamed Eagle.

A practical, hands-on guide that teaches the core concepts, techniques, and applications of data mining for business analytics using R, organized around a disciplined predictive-modeling process.

A manifesto for the Causal Revolution showing how causal diagrams and the mathematics of counterfactuals let us answer 'why' questions that statistics alone never could.

An exploration of how experienced professionals make rapid, effective decisions in high-stakes, time-pressured environments by leveraging intuition, mental simulation, and other sources of power beyond formal rational analysis.

A compact, practical field guide to the core ideas, algorithms, and workflow of modern machine learning, distilling decades of research into what actually matters in practice.

The firsthand account by the head of Lockheed's legendary Skunk Works, revealing the management principles and engineering secrets behind the creation of America's most advanced Cold War aircraft, including the U-2, SR-71 Blackbird, and the F-117 Stealth Fighter.

The book follows the biotech firm Vertex Pharmaceuticals over two decades as it battles scientific challenges, fierce competition, and financial uncertainty to develop breakthrough drugs for serious diseases like Hepatitis C and Cystic Fibrosis.

A Pulitzer Prize-winning "biography" of cancer that chronicles the 4,000-year history of the disease, detailing the scientific quest to understand its biology and the epic human struggle to treat, cure, and prevent it.

A practical, hands-on guide to doing data science in R using the tidyverse, walking the reader through the complete workflow of importing, tidying, transforming, visualizing, modeling, and communicating data.

A veteran engineering manager shares humorous and practical advice on leading technical teams, emphasizing that success comes from understanding and connecting with the chaotic, beautiful people who build software.

A definitive chronicle of the Apollo moon missions, told through the personal experiences and in-depth interviews with the 24 astronauts who voyaged to the Moon.

The firsthand account by the head of Lockheed's legendary Skunk Works, revealing the management principles and engineering secrets behind the creation of America's most advanced Cold War aircraft, including the U-2, SR-71 Blackbird, and the F-117 Stealth Fighter.

The definitive guide to dimensional modeling for data warehousing and business intelligence, teaching practitioners how to design simple, fast, business-driven analytic databases through case-study-driven techniques.

A Wharton professor guides readers through the alien nature of Large Language Models, offering four principles for working alongside AI as a genuine co-intelligence rather than fearing or blindly trusting it.