Here are 100 books that Discriminating Data fans have personally recommended if you like
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I grew up and completed the formative years of my college education in Cape Town, South Africa, while active also in anti-apartheid struggles. My Ph.D. dissertation in the 1980s focused on the elaboration of key racial ideas in the modern history of philosophy. I have published extensively on race and racism in the U.S. and globally, in books, articles, and public media. My interests have especially focused on the transforming logics and expressions of racism over time, and its updating to discipline and constrain its conventional targets anew and new targets more or less conventionally. My interest has always been to understand racism in order to face it down.
In these extraordinary lectures, Foucault offers a comprehensive social history of neoliberal theory from the 1920s to 1980 in Germany, France, Britain, and the U.S. While this work does not focus on racism, Foucault critically elaborates neoliberalism’s defining ideas: the attack on the state and dissipation of the commons, the privatization of everything, and the individualizing of all responsibility; financializing all social and individual choice, while redefining social subjectivity as “the Man of Enterprise,” of innovation and self-making. Foucault opened me to seeing how the liberal in “neoliberalism” signals the elevation of individual freedom as a counter to state power and social support. The question this raised for me is how these shifts in social thought suggest new developments in racist expression.
Michel Foucault's lectures at the College de France in 1979, The Birth of Biopolitics, pursue and develop further the themes of his lectures from the previous year, Security, Territory, Population. Having shown how Eighteenth century political economy marks the birth of a new governmental rationality -- seeking maximum effectiveness by governing less and in accordance with the naturalness of the phenomena to be governed -- Michel Foucault undertakes the detailed analysis of the forms of this liberal governmentality. This involves describing the political rationality within which the specific problems of life and population were posed: "Studying liberalism as the general…
I grew up and completed the formative years of my college education in Cape Town, South Africa, while active also in anti-apartheid struggles. My Ph.D. dissertation in the 1980s focused on the elaboration of key racial ideas in the modern history of philosophy. I have published extensively on race and racism in the U.S. and globally, in books, articles, and public media. My interests have especially focused on the transforming logics and expressions of racism over time, and its updating to discipline and constrain its conventional targets anew and new targets more or less conventionally. My interest has always been to understand racism in order to face it down.
Stuart Hall provided me with a model for mapping the shifting political conjuncture in real time, and the transforming racial dynamics that centrally shaped neoliberalism’s political emergence and cultural expression of the period. He showed how the newly emergent racial politics identified with neoliberalizing societies is increasingly linked to the immigrant, the unbelonging, the supposed rise in local crime as a consequence, and the perceived threat to the traditional culture of their host society. Hall offers the dynamic terms of analysis for these emerging phenomena: the floating signifier of race, the pluralizing of racism, racial panics, the law and order society, articulation of race with class and gender, etc. His work, so formatively brought together here by Paul Gilroy and Ruth Wilson Gilmore, was enormously generative for me in analyzing the formative connections of neoliberalization and the shifting dynamics of racial politics.
In Selected Writings on Race and Difference, editors Paul Gilroy and Ruth Wilson Gilmore gather more than twenty essays by Stuart Hall that highlight his extensive and groundbreaking engagement with race, representation, identity, difference, and diaspora. Spanning the whole of his career, this collection includes classic theoretical essays such as "The Whites of Their Eyes" (1981) and "Race, the Floating Signifier" (1997). It also features public lectures, political articles, and popular pieces that circulated in periodicals and newspapers, which demonstrate the breadth and depth of Hall's contribution to public discourses of race. Foregrounding how and why the analysis of race…
I grew up and completed the formative years of my college education in Cape Town, South Africa, while active also in anti-apartheid struggles. My Ph.D. dissertation in the 1980s focused on the elaboration of key racial ideas in the modern history of philosophy. I have published extensively on race and racism in the U.S. and globally, in books, articles, and public media. My interests have especially focused on the transforming logics and expressions of racism over time, and its updating to discipline and constrain its conventional targets anew and new targets more or less conventionally. My interest has always been to understand racism in order to face it down.
Lisa Lowe and I were in sustained conversation as we were composing our respective books. I read earlier drafts of hers as I was writing mine. Her analysis of settler-colonialism, the African slave trade, and trade in Asian goods and peoples in the Caribbean and Americas illustrated for me ways of thinking about the global relations and interactive impacts of the movements of people, culture, and thought. Her focus on how liberal thought shaped and is shaped by these relations helped to surface the coercive and discriminatory practices that made liberal thought possible. This “history of the present” by extension was enormously generative for thinking about the history of the neoliberal present too.
In this uniquely interdisciplinary work, Lisa Lowe examines the relationships between Europe, Africa, Asia, and the Americas in the late eighteenth- and early nineteenth- centuries, exploring the links between colonialism, slavery, imperial trades and Western liberalism. Reading across archives, canons, and continents, Lowe connects the liberal narrative of freedom overcoming slavery to the expansion of Anglo-American empire, observing that abstract promises of freedom often obscure their embeddedness within colonial conditions. Race and social difference, Lowe contends, are enduring remainders of colonial processes through which "the human" is universalized and "freed" by liberal forms, while the peoples who create the conditions…
I grew up and completed the formative years of my college education in Cape Town, South Africa, while active also in anti-apartheid struggles. My Ph.D. dissertation in the 1980s focused on the elaboration of key racial ideas in the modern history of philosophy. I have published extensively on race and racism in the U.S. and globally, in books, articles, and public media. My interests have especially focused on the transforming logics and expressions of racism over time, and its updating to discipline and constrain its conventional targets anew and new targets more or less conventionally. My interest has always been to understand racism in order to face it down.
A central idea of racial neoliberalism is the erasure of concepts referencing race, taking away the very terms by which racism can be identified and critically addressed. This is a condition that, with Obama’s election in 2008, became increasingly widely identified as “the postracial.” I find this edited volume more readily than others to provide trenchant analysis of the complex relations between the condition of the postracial and its rendering of racism less readily identifiable and more challenging to address.
With the election of Barack Obama, the idea that American society had become postracial-that is, race was no longer a main factor in influencing and structuring people's lives-took hold in public consciousness, increasingly accepted by many. The contributors to Racism Postrace examine the concept of postrace and its powerful history and allure, showing how proclamations of a postracial society further normalize racism and obscure structural antiblackness. They trace expressions of postrace over and through a wide variety of cultural texts, events, and people, from sports (LeBron James's move to Miami), music (Pharrell Williams's "Happy"), and television (The Voice and HGTV)…
I was stimulated by Norbert Wiener’s “Cybernetics” to study circuits in the brain that control behavior. For my graduate studies, I chose the olfactory bulb for its experimental advantages, which led to constructing the first computer models of brain neurons and microcircuits. Then I got interested in how the smell patterns are activated when we eat food, which led to a new field called Neurogastronomy, which is the neuroscience of the circuits that create the perception of food flavor. Finally, because all animals use their brains to find and eat food, the olfactory system has provided new insights into the evolution of the mammalian brain and the basic organization of the cerebral cortex.
The other books in this series are mostly about the real brain. But artificial intelligence promises us a new enhanced brain. What does the future hold? Terrence Sejnowski is a neuroscientist who was one of the first to realize the potential of AI. Since he has been there from the start, in this book he gives the reader an exciting inside story on the people and the advances that are reshaping our lives.
Early attempts at AI were limited, but once computational power took off big computers running multilayer neural nets began proving that they could defeat humans at the most demanding games, enhance human capabilities such as pattern recognition, text recognition, language translation, and driverless vehicles, and work to obtain rewards, just like a human. While these advances are dramatic, it is well to remember that the networks are built not from representations of real neurons, but rather from…
How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy.
The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.
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.
This is a clever and highly readable guide to the brave new world of algorithms: what they are, how they work, and their strengths and weaknesses. It’s packed with stories and vivid examples, but Dr Fry is a serious mathematician and when it comes to the crunch she is well able to show it with clear and rigorous analysis.
When it comes to artificial intelligence, we either hear of a paradise on earth or of our imminent extinction. It's time we stand face-to-digital-face with the true powers and limitations of the algorithms that already automate important decisions in healthcare, transportation, crime, and commerce. Hello World is indispensable preparation for the moral quandaries of a world run by code, and with the unfailingly entertaining Hannah Fry as our guide, we'll be discussing these issues long after the last page is turned.
I’m a journalist and a tinkerer. I’m fascinated not only by how things work but by how small levers can move mountains. Growing up in the workshop of my grandfather, an old Boston boatwright, I was mesmerized by the idea that a small rudder could maneuver a huge vessel. In college, I fell in love with how a small idea or expression could redirect a course of research or a country. As a self-taught maker of things, I appreciate how technologies empower us. I’ve chosen these books because they’re examples of how small ideas become things, lines of research, or patterns of thinking that shift human progress in unknowable ways.
I love gutsy books by outsiders, and Ms. Saxena, as a woman of color working in the Ivy League and the worlds of artificial intelligence and Big Data, is very much an outsider.
That makes her deep knowledge and insights into how AI and Big Data are changing business even that much more interesting. Plus, this is one of the only books I’ve read that explains how artificial intelligence works in a clear, direct way that doesn’t assume the reader already knows about things like machine learning and neural nets.
Have you heard about artificial intelligence (AI) and big data but felt they are technologies too big or too complicated for you or your business? Do you imagine AI as a Hollywood science fiction stereotype or something in the far and distant future?
Take heart. AI is none of those things. It's part of our everyday lives, and it has the power to transform your business.
This book will put AI, big data, the cloud, robotics, and smart devices in context. It will reveal how these technologies can dramatically multiply any businesses-including yours-by strategically using your data's latent, transformative potential.…
My personal passion behind ethical AI started early in my life. I was raised by someone who had a personality disorder, and grew up being gaslit and manipulated. It was hard for me personally to understand what was reality and what was made up. Being a nerdy kid, I spent most of my time studying computers and math to escape it all. And while I have made my own life writing books on machine learning, and programming for a living, I also care deeply about how what I do affects others. Being thoughtful is deep within me, and I sit with a Zen group and volunteer with the Mankind Project.
Peter Flach’s book on machine learning had a profound impact on me. The book is simple to understand, and highly visual. But beyond that Peter himself is a lovely person who obviously cares about all his students. I believe for getting started in machine learning and wanting to understand the algorithms that power many models, this is a great place to start.
But most importantly it’s a great way to understand the power and gain more intention behind what we are doing.
As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role…
We’re a nonprofit that aims to help people have a positive social impact with their careers. Since you have, on average, 80,000 hours in your career, what you decide to do with that time might be your biggest opportunity to make a difference. Over the past ten years, we’ve conducted careful research into high-impact careers, and have helped thousands of people plan a career that has a high positive impact.
One example of an especially pressing threat facing humanity is the rapid development of artificial intelligence. If we want this new technology to go well, it needs to be ‘aligned’ – that is, it should have or act on the same values as us.
In this book, Brian sets out why aligning artificial intelligence is an extremely tricky issue and one which deserves more attention from talented and dedicated people.
Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us-and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.
Systems cull resumes until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole-and appear to assess Black…
My passion for generative AI first ignited in 2016 when I spoke about it at a conference, and ever since then, I can’t stop! I've created an online course, a newsletter and even wrote a book to spread knowledge on this groundbreaking technology. As an instructor, I empower others to explore the boundless potential of generative AI applications. Day in day out, I assist clients in crafting their own generative AI solutions, tailoring them to their unique needs.
While it’s not the newest tech, I love that it covers the essential groundwork that sparked the modern AI revolution. I personally think its perfect for engineers and data scientists. It's also a great precursor to my book, giving you the strong foundation you need before diving into the next wave of AI advancements.
Generative modeling is one of the hottest topics in AI. It's now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models.
Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you'll…
