Book picks similar to
Algorithms to Live By: The Computer Science of Human Decisions by Brian Christian
non-fiction
science
psychology
nonfiction
The Inner Game of Tennis: The Classic Guide to the Mental Side of Peak Performance
W. Timothy Gallwey - 1974
Now available in a revised paperback edition, this classic bestseller can change the way the game of tennis is played.
Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People
Aditya Y. Bhargava - 2015
The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to take a hard pass on Knuth's brilliant but impenetrable theories and the dense multi-page proofs you'll find in most textbooks, this is the book for you. This fully-illustrated and engaging guide makes it easy for you to learn how to use algorithms effectively in your own programs.Grokking Algorithms is a disarming take on a core computer science topic. In it, you'll learn how to apply common algorithms to the practical problems you face in day-to-day life as a programmer. You'll start with problems like sorting and searching. As you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression or artificial intelligence. Whether you're writing business software, video games, mobile apps, or system utilities, you'll learn algorithmic techniques for solving problems that you thought were out of your grasp. For example, you'll be able to:Write a spell checker using graph algorithmsUnderstand how data compression works using Huffman codingIdentify problems that take too long to solve with naive algorithms, and attack them with algorithms that give you an approximate answer insteadEach carefully-presented example includes helpful diagrams and fully-annotated code samples in Python. By the end of this book, you will know some of the most widely applicable algorithms as well as how and when to use them.
Barking Up the Wrong Tree: The Surprising Science Behind Why Everything You Know About Success Is (Mostly) Wrong
Eric Barker - 2017
In Barking Up the Wrong Tree, Eric Barker reveals the extraordinary science behind what actually determines success and most importantly, how anyone can achieve it. You’ll learn:• Why valedictorians rarely become millionaires, and how your biggest weakness might actually be your greatest strength • Whether nice guys finish last and why the best lessons about cooperation come from gang members, pirates, and serial killers• Why trying to increase confidence fails and how Buddhist philosophy holds a superior solution• The secret ingredient to “grit” that Navy SEALs and disaster survivors leverage to keep going• How to find work-life balance using the strategy of Genghis Khan, the errors of Albert Einstein, and a little lesson from Spider-ManBy looking at what separates the extremely successful from the rest of us, we learn what we can do to be more like them—and find out in some cases why it’s good that we aren’t. Barking Up the Wrong Tree draws on startling statistics and surprising anecdotes to help you understand what works and what doesn’t so you can stop guessing at success and start living the life you want.
Emotional Intelligence: Why It Can Matter More Than IQ
Daniel Goleman - 1995
Daniel Goleman's brilliant report from the frontiers of psychology and neuroscience offers startling new insight into our "two minds"—the rational and the emotional—and how they together shape our destiny.Through vivid examples, Goleman delineates the five crucial skills of emotional intelligence, and shows how they determine our success in relationships, work, and even our physical well-being. What emerges is an entirely new way to talk about being smart. The best news is that "emotional literacy" is not fixed early in life. Every parent, every teacher, every business leader, and everyone interested in a more civil society, has a stake in this compelling vision of human possibility.From the Trade Paperback edition.
The Clean Coder: A Code of Conduct for Professional Programmers
Robert C. Martin - 2011
They treat it as a craft. They are professionals. In
The Clean Coder: A Code of Conduct for Professional Programmers,
legendary software expert Robert C. Martin introduces the disciplines, techniques, tools, and practices of true software craftsmanship. This book is packed with practical advice-about everything from estimating and coding to refactoring and testing. It covers much more than technique: It is about attitude. Martin shows how to approach software development with honor, self-respect, and pride; work well and work clean; communicate and estimate faithfully; face difficult decisions with clarity and honesty; and understand that deep knowledge comes with a responsibility to act. Readers will learn What it means to behave as a true software craftsman How to deal with conflict, tight schedules, and unreasonable managers How to get into the flow of coding, and get past writer's block How to handle unrelenting pressure and avoid burnout How to combine enduring attitudes with new development paradigms How to manage your time, and avoid blind alleys, marshes, bogs, and swamps How to foster environments where programmers and teams can thrive When to say "No"-and how to say it When to say "Yes"-and what yes really means Great software is something to marvel at: powerful, elegant, functional, a pleasure to work with as both a developer and as a user. Great software isn't written by machines. It is written by professionals with an unshakable commitment to craftsmanship.
The Clean Coder
will help you become one of them-and earn the pride and fulfillment that they alone possess.
The Invisible Gorilla: And Other Ways Our Intuitions Deceive Us
Christopher Chabris - 2010
In The Invisible Gorilla, Christopher Chabris and Daniel Simons, creators of one of psychology’s most famous experiments, use remarkable stories and counterintuitive scientific findings to demonstrate an important truth: Our minds don’t work the way we think they do. We think we see ourselves and the world as they really are, but we’re actually missing a whole lot.Again and again, we think we experience and understand the world as it is, but our thoughts are beset by everyday illusions. We write traffic laws and build criminal cases on the assumption that people will notice when something unusual happens right in front of them. We’re sure we know where we were on 9/11, falsely believing that vivid memories are seared into our minds with perfect fidelity. And as a society, we spend billions on devices to train our brains because we’re continually tempted by the lure of quick fixes and effortless self-improvement. The Invisible Gorilla reveals the myriad ways that our intuitions can deceive us, but it’s much more than a catalog of human failings. Chabris and Simons explain why we succumb to these everyday illusions and what we can do to inoculate ourselves against their effects. Ultimately, the book provides a kind of x-ray vision into our own minds, making it possible to pierce the veil of illusions that clouds our thoughts and to think clearly for perhaps the first time.
Incognito: The Secret Lives of the Brain
David Eagleman - 2011
If the conscious mind—the part you consider you—accounts for only a tiny fraction of the brain’s function, what is all the rest doing? This is the question that David Eagleman—renowned neuroscientist and acclaimed author of Sum—answers in a book as accessible and entertaining as it is deeply informed by startling, up-to-the-minute research.
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Trevor Hastie - 2001
With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.
Designing Data-Intensive Applications
Martin Kleppmann - 2015
Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures
Tribe of Mentors: Short Life Advice from the Best in the World
Timothy Ferriss - 2017
From iconic entrepreneurs to elite athletes, from artists to billionaire investors, their short profiles can help you answer life's most challenging questions, achieve extraordinary results, and transform your life.From the author: In 2017, several of my close friends died in rapid succession. It was a very hard year, as it was for many people. It was also a stark reminder that time is our scarcest, non-renewable resource. With a renewed sense of urgency, I began asking myself many questions: Were my goals my own, or simply what I thought I should want? How much of life had I missed from underplanning or overplanning? How could I be kinder to myself? How could I better say “no” to the trivial many to better say “yes” to the critical few? How could I best reassess my priorities and my purpose in this world? To find answers, I reached out to the most impressive world-class performers in the world, ranging from wunderkinds in their 20s to icons in their 70s and 80s. No stone was left unturned. This book contains their answers—practical and tactical advice from mentors who have found solutions. Whether you want to 10x your results, get unstuck, or reinvent yourself, someone else has traveled a similar path and taken notes. This book, Tribe of Mentors, includes many of the people I grew up viewing as idols or demi-gods. Less than 10% have been on my podcast (The Tim Ferriss Show, more than 200 million downloads), making this a brand-new playbook of playbooks. No matter your challenge or opportunity, something in these pages can help. Among other things, you will learn: • More than 50 morning routines—both for the early riser and those who struggle to get out of bed. • How TED curator Chris Anderson realized that the best way to get things done is to let go. • The best purchases of $100 or less (you'll never have to think about the right gift again). • How to overcome failure and bounce back towards success. • Why Humans of New York creator Brandon Stanton believes that the best art will always be the riskiest. • How to meditate and be more mindful (and not just for those that find it easy). • Why tennis champion Maria Sharapova believe that “losing makes you think in ways victories can’t.” • How to truly achieve work-life balance (and why most people tell you it isn’t realistic). • How billionaire Facebook co-founder Dustin Moskovitz transformed the way he engages with difficult situations to reduce suffering. • Ways to thrive (and survive) the overwhelming amount of information you process every day. • How to achieve clarity on your purpose and assess your priorities. • And much more. This reference book, which I wrote for myself, has already changed my life. I certainly hope the same for you. I wish you luck as you forge your own path. All the best, Tim Ferriss
Data Science from Scratch: First Principles with Python
Joel Grus - 2015
In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.
If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.
Get a crash course in Python
Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science
Collect, explore, clean, munge, and manipulate data
Dive into the fundamentals of machine learning
Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering
Explore recommender systems, natural language processing, network analysis, MapReduce, and databases
Influence: The Psychology of Persuasion
Robert B. Cialdini - 1984
Dr. Robert Cialdini is the seminal expert in the rapidly expanding field of influence and persuasion. His thirty-five years of rigorous, evidence-based research along with a three-year program of study on what moves people to change behavior has resulted in this highly acclaimed book.You'll learn the six universal principles, how to use them to become a skilled persuader—and how to defend yourself against them. Perfect for people in all walks of life, the principles of Influence will move you toward profound personal change and act as a driving force for your success.
Think Like a Rocket Scientist: Simple Strategies You Can Use to Make Giant Leaps in Work and Life
Ozan Varol - 2020
A former rocket scientist reveals the habits, ideas, and strategies that will empower you to turn the seemingly impossible into the possible. Rocket science is often celebrated as the ultimate triumph of technology. But it's not. Rather, it's the apex of a certain thought process -- a way to imagine the unimaginable and solve the unsolvable. It's the same thought process that enabled Neil Armstrong to take his giant leap for mankind, that allows spacecraft to travel millions of miles through outer space and land on a precise spot, and that brings us closer to colonizing other planets. Fortunately, you don't have to be a rocket scientist to think like one. In this accessible and practical book, Ozan Varol reveals nine simple strategies from rocket science that you can use to make your own giant leaps in work and life -- whether it's landing your dream job, accelerating your business, learning a new skill, or creating the next breakthrough product. Today, thinking like a rocket scientist is a necessity. We all encounter complex and unfamiliar problems in our lives. Those who can tackle these problems -- without clear guidelines and with the clock ticking -- enjoy an extraordinary advantage. Think Like a Rocket Scientist will inspire you to take your own moonshot and enable you to achieve liftoff.
How to Fail at Almost Everything and Still Win Big: Kind of the Story of My Life
Scott Adams - 2013
So how did he go from hapless office worker and serial failure to the creator of Dilbert, one of the world’s most famous syndicated comic strips, in just a few years? In How to Fail at Almost Everything and Still Win Big, Adams shares the strategy he has used since he was a teen to invite failure in, to embrace it, then pick its pocket. No career guide can offer advice for success that works for everyone. As Adams explains, your best bet is to study the ways of others who made it big and try to glean some tricks and strategies that make sense for you. Adams pulls back the covers on his own unusual life and shares what he learned for turning one failure after another into something good and lasting. Adams reveals that he failed at just about everything he’s tried, including his corporate career, his inventions, his investments, and his two restaurants. But there’s a lot to learn from his personal story, and a lot of humor along the way. While it’s hard for anyone to recover from a personal or professional failure, Adams discovered some unlikely truths that helped to propel him forward. For instance:• Goals are for losers. Systems are for winners.• "Passion" is bull. What you need is personal energy.• A combination of mediocre skills can make you surprisingly valuable.• You can manage your odds in a way that makes you look lucky to others.
Turing's Cathedral: The Origins of the Digital Universe
George Dyson - 2012
In Turing’s Cathedral, George Dyson focuses on a small group of men and women, led by John von Neumann at the Institute for Advanced Study in Princeton, New Jersey, who built one of the first computers to realize Alan Turing’s vision of a Universal Machine. Their work would break the distinction between numbers that mean things and numbers that do things—and our universe would never be the same. Using five kilobytes of memory (the amount allocated to displaying the cursor on a computer desktop of today), they achieved unprecedented success in both weather prediction and nuclear weapons design, while tackling, in their spare time, problems ranging from the evolution of viruses to the evolution of stars. Dyson’s account, both historic and prophetic, sheds important new light on how the digital universe exploded in the aftermath of World War II. The proliferation of both codes and machines was paralleled by two historic developments: the decoding of self-replicating sequences in biology and the invention of the hydrogen bomb. It’s no coincidence that the most destructive and the most constructive of human inventions appeared at exactly the same time. How did code take over the world? In retracing how Alan Turing’s one-dimensional model became John von Neumann’s two-dimensional implementation, Turing’s Cathedral offers a series of provocative suggestions as to where the digital universe, now fully three-dimensional, may be heading next.