Chris Albon

Chris Albon

Director of ML @Wikimedia. Studies ML @ https://t.co/zGNNlWiqEh. Created https://t.co/gK0hteTL5B. Co-founded @therealyonder. Advisor @basetenco. PhD.

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5 Book Recommendations by Chris Albon

  • Mathematical Notation

    Edward R. Scheinerman

    Mathematics is a language with a unique vocabulary, written with a dizzying array of often incomprehensible symbols. If we are unsure of the meaning or usage of a mathematical word, a quick internet search is invaluable. But what are we to do when confronted with some strange mathematical hieroglyph? What does one type into the search bar? This book is the answer! Our goal is to cover mathematical notation commonly used by engineers and scientists---notation a university student is likely to encounter. We make no attempt to teach the mathematics behind these symbols. Rather, our goal is to give reminders of what these symbols mean; from there, we can consult textbooks or resources on the web. The book is organized by mathematical topic, but multiple indices steer the reader to each symbol's explanation. We also show how to produce the symbols in LaTeX and give guidance on their mathematical usage.

    @kierisi https://t.co/oWeywO2T2u

  • "Taking joy in suffering is more human than we'd like to admit. The cruelty of the Trump administration's policies and the ritual rhetorical flaying of his targets are intimately connected. Shared cruelty and the delight it brings are critical moments of connection for white supremacists, a fact that is not new. Adam Serwer has been chronicling our political landscape for the last decade. He is one of the most resonant voices of our time, relentless in his pursuit of fact, unsentimental in his storytelling, yet deeply humane in his perspective. At The Atlantic, he has written about the Supreme Court's role in Jim Crow; the history of "white genocide" conspiracy theory; hoaxes; racism; inequality; and of course, Trump. But this collection isn't just about Trump--it's an investigation across centuries interrogating both this moment and its antecedents to reveal the deep roots that have given rise to Trumpism. New material includes four, audience-building essays that expand upon the collection's themes, and unearth more approaches to nationalism and pluralism. Like the polarizing effect Trump's administration has had on American Jews; tracing the emergence of police unions; and making the historical case for abolishing billionaires to preserve American democracy. Additionally, new introductions will provide context and insight into the impact of previously published pieces, why they garnered so much attention amongst media figures, politicians, and social platforms"--

    Adam is such an incredible writer. Congrats on his new book out today! https://t.co/Q1h1GwZAg6

  • This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction and many other topics. Each recipe includes code that you can copy and paste into a toy dataset to ensure that it actually works. From there, you can insert, combine, or adapt the code to help construct your application. Recipes also include a discussion that explains the solution and provides meaningful context. This cookbook takes you beyond theory and concepts by providing the nuts and bolts you need to construct working machine learning applications. You'll find recipes for: Vectors, matrices, and arrays Handling numerical and categorical data, text, images, and dates and times Dimensionality reduction using feature extraction or feature selection Model evaluation and selection Linear and logical regression, trees and forests, and k-nearest neighbors Support vector machines (SVM), naïve Bayes, clustering, and neural networks Saving and loading trained models

    Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning 1st Edition $45.63 https://t.co/ePdyhQhyIG https://t.co/ePdyhQhyIG https://t.co/ePdyhQhyIG buy now https://t.co/qI31zs0PKt

  • I've been saving a sci-fi book as a guilty pleasure in case I got COVID. A week after my second Pfizer shot I'm going to crack it open. Feels good. https://t.co/Nhp6RILLyH

  • Political science and sociology increasingly rely on mathematical modeling and sophisticated data analysis, and many graduate programs in these fields now require students to take a "math camp" or a semester-long or yearlong course to acquire the necessary skills. Available textbooks are written for mathematics or economics majors, and fail to convey to students of political science and sociology the reasons for learning often-abstract mathematical concepts. A Mathematics Course for Political and Social Research fills this gap, providing both a primer for math novices in the social sciences and a handy reference for seasoned researchers. The book begins with the fundamental building blocks of mathematics and basic algebra, then goes on to cover essential subjects such as calculus in one and more than one variable, including optimization, constrained optimization, and implicit functions; linear algebra, including Markov chains and eigenvectors; and probability. It describes the intermediate steps most other textbooks leave out, features numerous exercises throughout, and grounds all concepts by illustrating their use and importance in political science and sociology. Uniquely designed and ideal for students and researchers in political science and sociology Uses practical examples from political science and sociology Features "Why Do I Care?" sections that explain why concepts are useful Includes numerous exercises Complete online solutions manual (available only to professors, email david.siegel at duke.edu, subject line "Solution Set") Selected solutions available online to students

    A Mathematics Course for Political and Social Research I was a history and social science lover in high school and undergrad, totally disinterested in mathematics. That book was my first step towards finally learning all the math I avoided or ignored in my earlier education. https://t.co/fIxSCEp2xy