Here are 100 books that Hello World fans have personally recommended if you like
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I started my career as a research scientist building machine learning algorithms for weather forecasting. Twenty years later, I found myself at a precision agriculture startup creating models that provided guidance to farmers on when to plant, what to plant, etc. So, I am part of the movement from academia to industry. Now, at Google Cloud, my team builds cross-industry solutions and I see firsthand what our customers need in their data science teams. This set of books is what I suggest when a CTO asks how to upskill their workforce, or when a graduate student asks me how to break into the industry.
What if you are faced with a problem for which a standard approach doesn’t yet exist? In such a case, you will need to be able to figure out the approach from the first principles. This book will help you learn how to derive insights starting from raw data.
'A statistical national treasure' Jeremy Vine, BBC Radio 2
'Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force' Popular Science
Do busier hospitals have higher survival rates? How many trees are there on the planet? Why do old men have big ears? David Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science.
Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way…
The Beatles are widely regarded as the foremost and most influential music band in history and their career has been the subject of many biographies. Yet the band's historical significance has not received sustained academic treatment to date. In The Beatles and the 1960s, Kenneth L. Campbell uses The…
As an attorney, former TV broadcaster, and workplace consultant, I’ve devoted my career to empowering women and confronting systemic inequities. My passion stems from personal experience navigating the complexities of workplace harassment, which inspired me to write my book and guide others through similar challenges. I am continually drawn to books that illuminate the hidden power structures and offer practical tools for resilience, empowerment, and self-advocacy. The works on this list have profoundly shaped my perspective, providing inspiration and clarity in both my professional and personal journey. I hope they resonate with you as deeply as they have with me.
This book completely reframed how I see the world. Perez dives into the pervasive gender data gaps that impact everything from workplace policies to public health. Her meticulous research and compelling examples made me realize how much of our world is designed without women in mind. It’s equal parts infuriating and enlightening, and it left me determined to question systems that perpetuate inequality.
This book is a must-read for anyone who wants to understand the hidden ways gender bias shapes our lives.
Winner of the 2019 Financial Times and McKinsey Business Book of the Year Award Winner of the 2019 Royal Society Science Book Prize
Data is fundamental to the modern world. From economic development, to healthcare, to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, because it treats men as the default and women as atypical, bias and discrimination are baked into our systems. And women pay tremendous costs for this bias, in time, money, and often with their lives.
I am a chemist (PhD University of Leuven, Belgium). This explains my preference for a rational approach. I was also an assessor for the European EFQM organization. This European Management Model allows an organization or company to achieve excellent results for all its stakeholders. One of the methods used is the Best Practice method. Finally, at the end of my career, I asked myself the question: How do we know that our country is well managed? There is no management model for this yet. That is why I developed a new model: the SAC model. Together with my colleague Grace L. Duffy, we have described this model in several papers.
The author starts with the question: “Are you smarter than my chimpanzee?” When you finished the book, you’ll be so humble to say: I am not!
While reading the book, I was several times surprised by how adults (including myself) have a distorted perception of reality. For example, eighty percent of children worldwide are vaccinated. This means that almost all human beings alive today have some access to basic modern health care. However, on average, just 13 percent of people get the right answer.
Don’t forget that you can only make correct decisions based on accurate data. For this, you can rely on (the many) reliable databases that are available via the internet.
It was for me the first book that convinced me to think and work more with facts and data, i.e., evidence-based management
'A hopeful book about the potential for human progress when we work off facts rather than our inherent biases.' BARACK OBAMA
'One of the most important books I've ever read - an indispensable guide to thinking clearly about the world.' BILL GATES
*#1 Sunday Times bestseller * New York Times bestseller * Observer 'best brainy book of the decade' * Irish Times bestseller * Guardian bestseller * audiobook bestseller *
Factfulness: The stress-reducing habit of only carrying opinions for which you have strong supporting facts.
When asked simple questions about global trends - why the world's population is increasing; how…
In This Together explores how we can harness our social networks to make a real impact fighting the climate crisis. Against notions of the lone environmental crusader, Marianne E. Krasny shows us the power of "network climate action"—the idea that our own ordinary acts can influence and inspire those close…
Tim Harford is the author of nine books, including The Undercover Economist and The Data Detective, and the host of the Cautionary Tales podcast. He presents the BBC Radio programs More or Less, Fifty Things That Made The Modern Economy, and How To Vaccinate The World. Tim is a senior columnist for the Financial Times, a member of Nuffield College, Oxford, and the only journalist to have been made an honorary fellow of the Royal Statistical Society.
I should declare an interest here: I present a BBC Radio show that Blastland and Dilnot created. This book was effectively my “how to” manual on the way into the studio that they had vacated. It’s a wise and varied guide to the power and the pitfalls of data, poetically written and full of subtle wisdoms.
The Strunk and White of statistics team up to help the average person navigate the numbers in the news
Drawing on their hugely popular BBC Radio 4 show More or Less, journalist Michael Blastland and internationally known economist Andrew Dilnot delight, amuse, and convert American mathphobes by showing how our everyday experiences make sense of numbers.
The radical premise of The Numbers Game is to show how much we already know and give practical ways to use our knowledge to become cannier consumers of the media. If you've ever wondered what "average" really means, whether the scare stories about cancer…
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…
I'm an author, advisor, speaker, podcaster, and citizen concerned about humanity’s relationship with advanced artificial intelligence. After following developments in AI for many years, I noticed a disconnect between the rapid rate of progress in AI and the public’s understanding of what was happening. The AI issue affects everyone, so I want everyone to be empowered to learn more about how AI will have a large impact on their lives. As a senior policy advisor and a member of the Board of Advisors for Canada's leading safety and governance network, books such as these help me stay informed about the latest developments in advanced artificial intelligence. I hope my recommendations will help you to critically consider how humans should co-exist with this revolutionary technology.
AI continues to be further integrated into our professional lives, and this is a great introductory book for those in business or the public sector to consider the ethical implications of using various AI systems.
It nicely introduces key concepts and provides step-by-step instructions for thinking about and having ethical AI standards, processes, and metrics.
Broadly, it is a call for the importance of ethics in decision-making and business processes and does well to offer guidance in this age of AI.
The promise of artificial intelligence is automated decision-making at scale, but that means AI also automates risk at scale. Are you prepared for that risk?
Already, many companies have suffered real damage when their algorithms led to discriminatory, privacy-invading, and even deadly outcomes. Self-driving cars have hit pedestrians; HR algorithms have precluded women from job searches; mortgage systems have denied loans to qualified minorities. And often the companies who deployed the AI couldn't explain why the black box made the decision it did.
In this environment, AI ethics isn't merely an academic…
Forthcoming eclipses coming up in Australia include that of 22 July 2028, which will cross Australia from the Northern Territory to Sydney, home of the internationally famous sights of the Harbour Bridge and the Opera House. Eclipse Chasers will act as a guidebook for both locals and international visitors, giving…
I've had a long-time interest in two things: mathematics and social issues. This is why I got degrees in social work (Masters) and sociology (PhD) and eventually focused on the quantitative aspects of these two areas. Social Workers Count gave me the chance to marry these two interests by showing the role mathematics can play in illuminating a number of pressing social issues.
As I write these lines, artificial intelligence (AI) is getting a lot of attention.
This is largely due to ChatGpt recently bursting onto the scene. But even before ChatGpt began making its mark, AI was often in the news. Some have expressed worry that it will take our jobs, others that it will reinforce systemic oppression by making racially or otherwise discriminatory decisions, and some have even voiced concerns that one day a superintelligent AI might pose an existential threat to humanity.
In the midst of all this, what might get lost is what AI is, what it's capable of doing, and what its limitations are. Wenger's book is intended to address all of these questions. It manages to do so in a way which goes into some of the mathematics of AI systems and yet remain accessible to a lay audience.
Artificial intelligence is everywhere―it’s in our houses and phones and cars. AI makes decisions about what we should buy, watch, and read, and it won’t be long before AI’s in our hospitals, combing through our records. Maybe soon it will even be deciding who’s innocent, and who goes to jail . . . But most of us don’t understand how AI works. We hardly know what it is. In "Is the Algorithm Plotting Against Us?", AI expert Kenneth Wenger deftly explains the complexity at AI’s heart, demonstrating its potential and exposing its shortfalls. Wenger empowers readers to answer the question―What…
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’ve spent most of my life writing code—and too much of that life teaching new programmers how to write code like a professional. If it’s true that you only truly understand something after teaching it to someone else, then at this point I must really understand programming! Unfortunately, that understanding has not led to an endless stream of bug-free code, but it has led to some informed opinions on programming and books about programming.
Yes, it’s a textbook, albeit a particularly well-written one. You may already have it on your shelf, if you’ve taken a programming class or two.
I’m way too old to have used CLRS as a textbook, though! For me, it’s an effectively bottomless collection of neat little ideas—an easy-to-describe problem, then a series of increasingly clever ways to solve that problem. How often do I end up using one of those algorithms? Not very often! But every time I read the description of an algorithm, I get a nugget of pure joy from the “aha” moment when I first understand how it works.
What's Gotten Into You is a wondrous, wildly ambitious, and vastly entertaining work of popular science that tells the awe-inspiring story of the elements that make up the human body, and how these building blocks of life travelled billions of miles and across billions of years to make us who…
I have been a machine learning engineer applying my ML expertise in computational advertising, and search domain. I am an author of 8 machine learning books. My first book was ranked the #1 bestseller in its category on Amazon in 2017 and 2018 and was translated into many languages. I am also a ML education enthusiast and used to teach ML courses in Toronto, Canada.
This was my favorite book when I started my career. It talks about how information is processed, in an intelligent way, in the internet age. It acts as a tutorial to teach developers how to code our own ML programs, from online dating services, to document analyzer, and search engine. The author did an excellent job of explaining abstract ML algorithms with clear examples. His coding style in Python reads clearly, which makes the book more beginner-friendly.
Don’t get disappointed when you know this book is more than a decade old. It was a visionary book back in the day and it is still relevant today.
Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing,…
