100 books like Hello World

By Hannah Fry,

Here are 100 books that Hello World fans have personally recommended if you like Hello World. Shepherd is a community of 10,000+ authors and super readers sharing their favorite books with the world.

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Book cover of The Art of Statistics: How to Learn from Data

Valliappa Lakshmanan Author Of Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time Data Pipelines: From Ingest to Machine Learning

From my list on if you want to become a data scientist.

Who am I?

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.

Valliappa's book list on if you want to become a data scientist

Valliappa Lakshmanan Why did Valliappa love this book?

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.

By David Spiegelhalter,

Why should I read it?

2 authors picked The Art of Statistics as one of their favorite books, and they share why you should read it.

What is this book about?

'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…


Book cover of Invisible Women: Data Bias in a World Designed for Men

Kara Alaimo Author Of Over The Influence: Why Social Media is Toxic for Women and Girls - And How We Can Take it Back

From my list on what it’s like to be a woman in this sexist, misogynistic world.

Who am I?

I’m a communication professor at Fairleigh Dickinson University, a social media user, and a mom. After Donald Trump won the 2016 presidential election, I wrote an op-ed for CNN arguing that he’d won the election on social media, and I just never stopped writing. A few hundred op-eds and a book later, I’m still interested in what social media is doing to us all and the issues women are up against in our society. My book allowed me to explore how social media is impacting every single aspect of the lives of women and girls and exactly what we can do about it. I wrote it as a call to arms.

Kara's book list on what it’s like to be a woman in this sexist, misogynistic world

Kara Alaimo Why did Kara love this book?

The opening of this book about how public transport systems have been designed to get men where they need to go (to the city center for work) but not women where we often go (all over neighborhoods caring for people) just blew my mind.

I loved how Criado Perez challenges so many things we take for granted – like why you can go out with a client after work and expense your steak and drinks but not the babysitter you have to hire. Her explanations of how the world is basically designed for men helped me understand why the voice control system in my car never seems to understand me and why there’s always a line for the ladies’ room.

By Caroline Criado Perez,

Why should I read it?

13 authors picked Invisible Women as one of their favorite books, and they share why you should read it.

What is this book about?

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.

Celebrated feminist advocate…


Book cover of Factfulness: Ten Reasons We're Wrong about the World--And Why Things Are Better Than You Think

Tobias Rose-Stockwell Author Of Outrage Machine: How Tech Amplifies Discontent, Disrupts Democracy--And What We Can Do about It

From my list on why everything feels terrible right now.

Who am I?

As a writer, designer, and technologist, I've always been fascinated by the extraordinary potential of the internet. It’s our species' greatest invention to date, giving us powers our ancestors would have only dreamed of. But I'm equally aware of its darker side. We now live an inordinate amount of our lives in spaces controlled by algorithms that have strange agendas. A key part of my work is exposing how the subtle designs of our online spaces can dramatically change our emotions, making them much more contagious. By translating these insights into understandable narratives, my goal is to foster digital resilience, and help us take back some real measure of control of our digital lives.

Tobias' book list on why everything feels terrible right now

Tobias Rose-Stockwell Why did Tobias love this book?

Factfulness is a critical tool for showing that the world is knowable and making the case for optimism.

Beloved by Bill Gates—who called it “[one] of the most important books I’ve ever read”—the book shows how our perspectives get distorted by the information we consume every day. It also shows how taking a fact-based worldview can drastically reduce the anxiety and fear so many of us feel right now.

By Hans Rosling, Anna Rosling Rönnlund, Ola Rosling

Why should I read it?

7 authors picked Factfulness as one of their favorite books, and they share why you should read it.

What is this book about?

'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…


Book cover of The Numbers Game: The Commonsense Guide to Understanding Numbers in the News, in Politics, and in Life

Tim Harford Author Of The Data Detective: Ten Easy Rules to Make Sense of Statistics

From my list on think clearly about data.

Who am I?

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.

Tim's book list on think clearly about data

Tim Harford Why did Tim love this book?

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.

By Michael Blastland, Andrew Dilnot,

Why should I read it?

1 author picked The Numbers Game as one of their favorite books, and they share why you should read it.

What is this book about?

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…


Book cover of Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

Manil Suri Author Of The Big Bang of Numbers: How to Build the Universe Using Only Math

From my list on to make you fall in love with mathematics.

Who am I?

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. 

Manil's book list on to make you fall in love with mathematics

Manil Suri Why did Manil love this book?

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.  

By Cathy O’Neil,

Why should I read it?

11 authors picked Weapons of Math Destruction as one of their favorite books, and they share why you should read it.

What is this book about?

'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…


Book cover of Is the Algorithm Plotting Against Us?: A Layperson's Guide to the Concepts, Math, and Pitfalls of AI

Michael Anthony Lewis Author Of Social Workers Count: Numbers and Social Issues

From my list on quant geeks.

Who am I?

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.

Michael's book list on quant geeks

Michael Anthony Lewis Why did Michael love this book?

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.

After laying out the technical aspects of AI,…

By Kenneth Wenger,

Why should I read it?

1 author picked Is the Algorithm Plotting Against Us? as one of their favorite books, and they share why you should read it.

What is this book about?

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…


Book cover of Ethical Machines: Your Concise Guide to Totally Unbiased, Transparent, and Respectful AI

Darren McKee Author Of Uncontrollable: The Threat of Artificial Superintelligence and the Race to Save the World

From my list on understanding how AI will shape our lives.

Who am I?

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.

Darren's book list on understanding how AI will shape our lives

Darren McKee Why did Darren love this book?

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.

By Reid Blackman,

Why should I read it?

1 author picked Ethical Machines as one of their favorite books, and they share why you should read it.

What is this book about?

What will you do when your AI misbehaves?

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…


Book cover of The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World

Kartik Hosanagar Author Of A Human's Guide to Machine Intelligence: How Algorithms Are Shaping Our Lives and How We Can Stay in Control

From my list on managing technological innovation for mere mortals.

Who am I?

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.

Kartik's book list on managing technological innovation for mere mortals

Kartik Hosanagar Why did Kartik love this book?

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.

By Pedro Domingos,

Why should I read it?

1 author picked The Master Algorithm as one of their favorite books, and they share why you should read it.

What is this book about?

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…


Book cover of Introduction to Algorithms

Chris Zimmerman Author Of The Rules of Programming: How to Write Better Code

From my list on programming for people who want to be good at it.

Who am I?

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.

Chris' book list on programming for people who want to be good at it

Chris Zimmerman Why did Chris love this book?

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.

Book cover of Programming Collective Intelligence: Building Smart Web 2.0 Applications

Yuxi (Hayden) Liu Author Of Python Machine Learning By Example: Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn

From my list on machine learning for beginners.

Who am I?

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.  

Yuxi's book list on machine learning for beginners

Yuxi (Hayden) Liu Why did Yuxi love this book?

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.

By Toby Segaran,

Why should I read it?

1 author picked Programming Collective Intelligence as one of their favorite books, and they share why you should read it.

What is this book about?

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,…


5 book lists we think you will like!

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