The more that you read, the more things you will know. The more that you learn, the more places you'll go. - Dr. Seuss
Nexus
A brief history of information networks from the Stone Age to AI. The historian Yuval examines the history of information networks and the challenges posed by the AI revolution. Nexus looks through the long lens of human history to consider how the flow of information has shaped us, and our world. Taking us from the Stone Age, through the canonization of the Bible, early modern witch-hunts, Stalinism, Nazism, and the resurgence of populism today, Yuval Noah Harari asks us to consider the complex relationship between information and truth, bureaucracy and mythology, wisdom and power. He explores how different societies and political systems throughout history have wielded information to achieve their goals, for good and ill. And he addresses the urgent choices we face as non-human intelligence threatens our very existence.
The Worlds I See
Wired called the author Dr. Fei-Fei Li “one of a tiny group of scientists—a group perhaps small enough to fit around a kitchen table—who are responsible for AI’s recent remarkable advances.” The Worlds I See - Curiosity, Exploration, and Discovery at the Dawn of AI is a story of science in the first person, documenting one of the century’s defining moments from the inside. It provides a riveting story of a scientist at work and a thrillingly clear explanation of what artificial intelligence actually is—and how it came to be. Emotionally raw and intellectually uncompromising, this book is a testament not only to the passion required for even the most technical scholarship but also to the curiosity forever at its heart.
Grow Your Business with AI
Leverage the power of Artificial Intelligence (AI) to drive the growth and success of your organization. This book thoroughly explores the reasons why it is so hard to implement AI, and highlights the need to reconcile the motivations and goals of two very different groups of people, business-minded and technical-minded. Main take aways:
Emphasizes the importance of a first principles approach in implementing AI in business.
Highligts the need to overcome common barriers to AI integration in enterprises.
Stresses the significance of ethical considerations in AI development and application.
Showcases real-world case studies, illustrating successful AI applications across various industries.
Offers insights into aligning AI strategies with broader business objectives for maximum impact.
Provides a comprehensive guide for business leaders to effectively leverage AI for innovation and efficiency in their operations.
Generative AI System Design Interview
This is a comprehensive guide tailored for those focusing on designing generative AI systems.
A 7-step approach to tackle GenAI system design questions, offering a structured method to understand and solve complex problems.
It delves into 10 practical examples, from designing systems like Gmail Smart Compose to personalized headshot generation, showcasing how generative AI is implemented in real scenarios.
This resource is invaluable for anyone looking to deepen their understanding of generative AI, whether for interview preparation or professional development in the field.
Designing Data-Intensive Applications
Designing Data-Intensive Applications" by Martin Kleppmann, published by O'Reilly, provides an in-depth exploration of the principles behind building robust data systems. The book emphasizes three key pillars of data systems: reliability, scalability, and maintainability.
System Design Interview
System design interview benefits people who have yet to work at system at scale, also a welcome refresher to those who are familiar with some of these systems but would like to venture into various other types of large systems. The book comes with more than 10 case studies and a framework that it introduces and consistently uses with these case studies.
Machine Learning System Design Interview
This book provides a reliable strategy and knowledge base for approaching a broad range of ML system design questions. It includes a step-by-step framework for tackling an ML system design question, 10 real ML system design interview questions with detailed solutions, and 211 diagrams that visually explain how various systems work . The book is an essential resource for anyone interested in ML system design, whether they are beginners or experienced engineers.
Designing Machine Learning Systems
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 data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references.
The AI Product Manager's Handbook
This book covers how to drive product development and growth in the AI industry as product manager. From understanding AI and machine learning to developing and launching AI products, it provides the strategies, techniques, and tools product manager need to succeed.
Digital Business Transformation
This book outlines a framework for digital transformation consisting of strategy, product, engineering, experience, and data. Businesses that emphasize these five areas build the foundations for agile transformation. You can find my book review here. Learn more
