Here are 100 books that Prediction Machines fans have personally recommended if you like
Prediction Machines.
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I’m a mathematics professor who ended up writing the internationally bestselling novel The Death of Vishnu (along with two follow-ups) and became better known as an author. For the past decade and a half, I’ve been using my storytelling skills to make mathematics more accessible (and enjoyable!) to a broad audience. Being a novelist has helped me look at mathematics in a new light, and realize the subject is not so much about the calculations feared by so many, but rather, about ideas. We can all enjoy such ideas, and thereby learn to understand, appreciate, and even love math.
A primary reason to love math is because of its usefulness. This book shows two sides of math’s applicability, since it is so ubiquitously used in various algorithms.
On the one hand, such usage can be good, because statistical inferences can make our life easier and enrich it. On the other, when these are not properly designed or monitored, it can lead to catastrophic consequences. Mathematics is a powerful force, as powerful as wind or fire, and needs to be harnessed just as carefully.
Cathy O’Neil’s message in this book spoke deeply to me, reminding me that I need to be always vigilant about the subject I love not being deployed carelessly.
'A manual for the 21st-century citizen... accessible, refreshingly critical, relevant and urgent' - Financial Times
'Fascinating and deeply disturbing' - Yuval Noah Harari, Guardian Books of the Year
In this New York Times bestseller, Cathy O'Neil, one of the first champions of algorithmic accountability, sounds an alarm on the mathematical models that pervade modern life -- and threaten to rip apart our social fabric.
We live in the age of the algorithm. Increasingly, the decisions that affect our lives - where we go to school, whether we get a loan, how much we pay for insurance - are being made…
Coming from two very different backgrounds gives Dean and I a unique ‘view’ of a topic that we are both hugely passionate about: artificial intelligence. Our work together has gifted us a broader perspective in terms of understanding the development of and the philosophy beneath what is coined as artificial intelligence today and where we truly stand in terms of its potential for good – and evil. Our book list is intended to provide a great starting point from where you can jump into this incredibly absorbing topic and draw your own conclusions about where the future might take us.
What sets this book apart for us is its focus on rethinking the very foundations of AI. The author, Russell, thoughtfully examines the concept of intelligence itself, comparing humans and machines and outlining the necessary milestones for reaching superhuman AI.
He also doesn't shy away from the current dangers of AI misuse, providing some really great examples.
We found the book very hard to put down, and it raised so many ‘What if?” questions for us!
A leading artificial intelligence researcher lays out a new approach to AI that will enable us to coexist successfully with increasingly intelligent machines
In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable.
In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines.…
How many people have had a great idea and just needed to gain support within a large organization to move ahead? I have, over and over again, along with very accomplished teams. It’s often hard work to create something new. It requires both art and science. When people understand how it works, they elevate their craft and achieve more while lifting others up. Some of them even change the world. I’ve found great wisdom and amazing stories of courage and adventure from people who have already been there, done that, and written about their experiences. I hope these book recommendations broaden your perspective and inspire your imagination!
This is perhaps the best-known book on innovation inside large companies. When discussing technological change, people have mentioned it to me more than any other book—by a large margin! It includes examples from industries ranging from hard disks to excavators and even offers an earlier look at the prospects for electric vehicles.
It is especially interesting to see how past success can lead to complacency that hinders sustained growth and financial health. In the process, Christensen underscores how important it is for companies to continue innovating within—even when business is going well and even when acquisitions seem alluring and less difficult. This is a must-read because it establishes foundational knowledge on the importance of continued investment to sustain success.
Named one of 100 Leadership & Success Books to Read in a Lifetime by Amazon Editors A Wall Street Journal and Businessweek bestseller. Named by Fast Company as one of the most influential leadership books in its Leadership Hall of Fame. An innovation classic. From Steve Jobs to Jeff Bezos, Clay Christensen's work continues to underpin today's most innovative leaders and organizations. The bestselling classic on disruptive innovation, by renowned author Clayton M. Christensen. His work is cited by the world's best-known thought leaders, from Steve Jobs to Malcolm Gladwell. In this classic bestseller--one of the most influential business books…
I have worked in the field of machine learning and predictive analytics for many years. Having started out as a technical specialist, I have become increasingly interested in the legal, ethical, and social aspects of these subjects. This is because it is these “soft issues” that often determine how successful these technologies are in practice and if they are viewed as a force for good or evil in wider society. This has led me to write several books focusing on the practical and cultural aspects of these subjects and how best to apply them for the benefit of business, individuals, and wider society.
Many writers have discussed the dangers that artificial intelligence and machine learning represent to our livelihoods, and how clever computers and autonomous robots will supplant us all in the workplace. What I like about this book is that it provides an alternative, and very optimistic, view of how these new technologies are being deployed. The authors present a future based on a partnership, in which artificial intelligence-based tools work in tandem with human workers, enhancing what individuals can do in the workplace rather than replacing them.
AI is radically transforming business. Are you ready?
Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?
In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show…
I build and use emerging technological innovations in business, and I also teach others how they might too! I’m a serial entrepreneur and a Professor at the Wharton School of the University of Pennsylvania. As an entrepreneur, I co-founded and developed the core IP for Yodle Inc, a venture-backed firm that was acquired by Web.com. I’m now the founder of Jumpcut Media – a startup using data and Web3 technologies to democratize opportunities in Film and TV. In all this work, I'm often trying to assess how emerging technologies may affect business and society in the long run and how I can apply them to create new products and services.
This book by Steven Blank is a bible for anyone trying to understand how to build lean startups. The classic mistake that most entrepreneurs make is to go build a product soon after they develop a hypothesis about what customers want. By building products before customer discovery (i.e. verify customer needs and a scalable sales model), many products miss the mark and fail. The book explains how a lean start-up can figure out what customers want before proceeding to build products. This emphasis on a customer-centered approach rather than a product-centered approach can be the difference when it comes to finding product-market fit. A must-read for any founder!
The bestselling classic that launched 10,000 startups and new corporate ventures - The Four Steps to the Epiphany is one of the most influential and practical business books of all time. The Four Steps to the Epiphany launched the Lean Startup approach to new ventures. It was the first book to offer that startups are not smaller versions of large companies and that new ventures are different than existing ones. Startups search for business models while existing companies execute them.
The book offers the practical and proven four-step Customer Development process for search and offers insight into what makes some…
I build and use emerging technological innovations in business, and I also teach others how they might too! I’m a serial entrepreneur and a Professor at the Wharton School of the University of Pennsylvania. As an entrepreneur, I co-founded and developed the core IP for Yodle Inc, a venture-backed firm that was acquired by Web.com. I’m now the founder of Jumpcut Media – a startup using data and Web3 technologies to democratize opportunities in Film and TV. In all this work, I'm often trying to assess how emerging technologies may affect business and society in the long run and how I can apply them to create new products and services.
This book provides an excellent description of the various kinds of machine learning approaches and asks the question of whether there will be a Master Algorithm, one single (universal) algorithm that learns all kinds of tasks from data. The author, Pedro Domingos, introduces the different approaches to building intelligence and the research tribes exploring them – Symbolists (with its foundations in Philosophy and Logic), Connectionists (foundations in Neuro/Cognitive Science), Evolutionaries (foundations in Evolutionary Biology), Bayesians (statistical foundations), and Analogizers (Psychology). He also introduces some of his own ideas on what the master machine learning algorithm might look like. It’s a really useful primer for those who are not deeply immersed in machine learning but it’s written for readers with at least a basic engineering and computer science background.
Algorithms increasingly run our lives. They find books, movies, jobs, and dates for us, manage our investments, and discover new drugs. More and more, these algorithms work by learning from the trails of data we leave in our newly digital world. Like curious children, they observe us, imitate, and experiment. And in the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask.Machine learning is the automation of discovery,the scientific method on steroids,that enables intelligent robots and…
I have over 2 decades of finance control and general management experience spanning the manufacturing and retail sectors, in big names like LVMH. A finance controller’s job is all about efficiency and involves learning every new tool available that can help to achieve that goal. Through this work, I realized how many people are not ready for the tidal wave of disruption about to hit employees with AI and other technological changes. I was utterly shocked at not being able to find a single sensible guidebook with solutions actionable by workers.
The first comprehensive book on new tech and its impacts, following big steps made in AI progress in the early 2010s. The authors bring home the point that we are undergoing a watershed moment as tools no longer substitute merely for physical labor encroach on mental tasks – hence the book’s title.
After centuries of fleeing blue-collar jobs to take refuge in cerebral work, we are being left with nowhere to run. Not only that, but past technology would automate a given task, whereas the looming Artificial Intelligence is bound to intervene in many, many tasks currently handled by humans.
In recent years, computers have learned to diagnose diseases, drive cars, write clean prose and win game shows. Advances like these have created unprecedented economic bounty but in their wake median income has stagnated and employment levels have fallen. Erik Brynjolfsson and Andrew McAfee reveal the technological forces driving this reinvention of the economy and chart a path towards future prosperity. Businesses and individuals, they argue, must learn to race with machines. Drawing on years of research, Brynjolfsson and McAfee identify the best strategies and policies for doing so. A fundamentally optimistic book, The Second Machine Age will radically alter…
I believed the Internet would be as colorful a cultural phenomenon as LSD. But before I was even able to convince people that something wonderful was on the horizon, big business swooped in and recontextualized the digital renaissance as a business revolution and the Silicon Valley mindset was born: Companies should grow exponentially forever! Any tech problem can be solved with more tech! Humans on Earth are just larvae–maggots–while wealthy tech bros will get to Mars or upload their minds to the cloud. This list of books is meant to show how these guys think and why they’re taking us in the wrong direction.
This book is about the ultimate pyramid scheme, written largely from the perspective of someone who fell for it. Michael Lewis tells a story like nobody else. It is about Sam Bankman Fried, the crypto billionaire who is now in jail for defrauding everybody.
Only it was written before Fried was convicted, and some reviewers felt Lewis had himself been charmed and hoodwinked by Fried. But that’s precisely the reason I love this book: the author falls under the spell of a Silicon Valley accelerationist and techno-utopian.
We get to experience the logic of “effective altruism” and the cult of exponential growth from the inside rather than the cynicism of how it all turned out.
When Michael Lewis first met him, Sam Bankman-Fried was the world's youngest billionaire and crypto's Gatsby. CEOs, celebrities, and leaders of small countries all vied for his time and cash after he catapulted, practically overnight, onto the Forbes billionaire list. Who was this rumpled guy in cargo shorts and limp white socks, whose eyes twitched across Zoom meetings as he played video games on the side?
In Going Infinite Lewis sets out to answer this question, taking readers into the mind of Bankman-Fried, whose rise and fall offers an education in high-frequency trading, cryptocurrencies, philanthropy, bankruptcy, and the justice system.…
I’m an economics professor, but I also have a column in Australia’s leading financial newspaper so I really appreciate authors who can tackle complex topics in an accessible manner. I’m also both extremely interested in and do academic research on topics to do with technologies like two-sided platforms, cryptocurrencies, blockchain, and artificial intelligence. All these books made me think harder about the big issues in these areas, and how to combine rigorous research with what is actually happening—often at breakneck speed—in the real-world digital economy.
Well, the author is a friend of mine but it’s also on a topic close to my own academic research interests. So it was kind of compulsory reading for me, but it might be the most enjoyable compulsory reading I’ve ever done.
I thought NFTs were just a gimmick to do with internet pictures. But the authors explain, with great examples, that NFTs are best thought of as a new technology for creating digital assets. And better still, providing the true owner with irrefutable proof of ownership of these digital assets.
What I took away was that NFTs are a new technology for tracking property rights. And since property rights have been fundamental to economic development for millennia, this is a topic one can’t afford not to understand.
NFTs cause excitement and skepticism. How much value can a token hold? What drives this value?
To properly appreciate NFTs we must first understand what they actually are, how they work and in what contexts they are used.
The Everything Token is an essential primer on NFTs (non-fungible tokens), explaining their use, purpose, and how businesses can create and exploit them to develop new product lines, building customer loyalty and increased revenues at the same time.
Together the authors have spent much of the past few years embedded in NFT communities and helping launch NFT products. As self-described beta testers…
I’m an economics professor, but I also have a column in Australia’s leading financial newspaper so I really appreciate authors who can tackle complex topics in an accessible manner. I’m also both extremely interested in and do academic research on topics to do with technologies like two-sided platforms, cryptocurrencies, blockchain, and artificial intelligence. All these books made me think harder about the big issues in these areas, and how to combine rigorous research with what is actually happening—often at breakneck speed—in the real-world digital economy.
I first heard about this book on one of my favorite podcasts: Hard Fork. The author is a famous crypto investor at perhaps the world’s leading technology venture capital firm: a16z. The author got a hard time from the hosts, who are both pretty skeptical of crypto. But he handled it so well I knew I had to read the book.
Read Write Own is persuasive in cautioning against dismissing the entire crypto sector due to early failures. The examples used are great: like the Helium project—a kind of crowdsourced “people’s 5G network” that uses cryptocurrency payments as incentives. If you want to hear the “glass is half full” case for crypto, this is a must read.
'A compelling vision of where the internet should go and how to get there.' Sam Altman, CEO, OpenAI
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A potent exploration of the power of blockchains to reshape the future of the internet - and how that affects us all - from technology entrepreneur and startup investor Chris Dixon.
The internet of today is a far cry from its early promise of a decentralized, democratic network of innovation, connection and freedom. In the past decade, it has fallen almost entirely under the control of a very small group of companies like Apple, Google,…
