Best Applied Mathematics
Freakonomics is a groundbreaking collaboration between Levitt and Stephen J. Dubner, an award-winning author and journalist. Thus the new field of study contained in this book: freakonomics.Through forceful storytelling and wry insight, Levitt and Dubner show that economics is, at root, the study of incentiveshow people get what they want, or need, especially when other people want or need the same thing. What unites all these stories is a belief that the modern world, despite a great deal of complexity and downright deceit, is not impenetrable, is not unknowable, andif the right questions are askedis even more intriguing than we think. Freakonomics establishes this unconventional premise: If morality represents how we would like the world to work, then economics represents how it actually does work. It will literally redefine the way we view the modern world.Bonus material added to the revised and expanded 2006 edition.The original New York Times Magazine article about Steven D. Levitt by Stephen J. Dubner, which led to the creation of this book.Seven Freakonomics columns written for the New York Times Magazine, published between August 2005 and April 2006. “Levitt dissects complex real-world phenomena, e.g. baby-naming patterns and Sumo wrestling, with an economist’s laser.” (San Diego Union-Tribune). This is bracing fun of the highest order.” (Kurt Andersen, host of public radio's Studio 360 and author of Turn of the Century). “Freakonomics challenges conventional wisdom and makes for fun reading.” (Book Sense Picks and Notables). Steven D. Levitt, a professor of economics at the University of Chicago, was awarded the John Bates Clark Medal, given to the most influential American economist under forty. Stephen J. Dubner, an award-winning journalist and radio and TV personality, has worked for the New York Times and published three non- Freakonomics books.
Reviews
Find Best Price at Amazon"Indeed, the most common reaction I get from people when telling them that I am an economist is that they have read Freakonomics, which implies that they have at least seen some work similar to what I do at aguanomics. All I remember was a lot of math and curves.” This depressing outcome results from lecturers who merely reproduce problems and equations on the blackboard, without helping students understand either why those theories are used or how they came to be so popular with economists. Third, there are books like mine [pdf] that try to explain how to improve failing policies using basic economic insights and incentives. This book with a memorable (but useless) name provides readers with just-so stories that are good for cocktail conversations but not for understanding economics. What struck me is their ongoing attempts to hold onto at least some elements in the original claim in later blog posts in what I’d call a “my-ladydoth-protest-too-much” manner. Looking over their other chapters (on cheating sumo wrestlers, drug dealers who live with their moms, the KKK as a multilevel marketing organization, etc. ), I agree that the chapters are interesting and thought provoking, but they do not provide “lessons on the hidden side of everything.” Instead, they read like a series of magazine articles whose quirky “insights” might contribute to your next cocktail conversation. [7] I didn’t detect any reliable technique (except perhaps to collect a neat dataset and call Steve Levitt), and that’s where I was disappointed. In this case, street dealers are (a) NOT condemned to death, (b) not able to find other work with their experience, and (c) not aware of their statistical mortality as much as their potential wealth. Dubner and Levitt present interesting puzzles worthy of cocktail conversation, but they overstate their contributions and accuracy (“numbers don’t lie” but theory can be incomplete or just wrong). He's a fine person and excellent economist, but this book is too “pop” in its oversimplification of his work and hagiographic treatment of his insights. Yes, he brings interesting statistical tools to“freaky” questions, but he’s not a “rogue economist exploring the hidden side of everything.” He’s just a guy with a dataset and empirical theory who finds some strong correlations. (8) My years of experience traveling in 100+ countries leads me to respect the diversity of beliefs and institutions that result in a variety of outcomes. As another example, take Dubner on page 199, who writes “that paper [on police officer counts and crime] was later disputed… a gradate student found an obvious mathematical mistake in it — but Levitt’s ingenuity was obvious.” I’m not sure I’d say the same about someone whose claims rested on logic with “obvious mathematical mistakes”!"
"LOVE THIS BOOK!"
"I enjoyed the many hidden causal connections that no one without the proper research could ever have put together."
"This book is absolutely brilliant."
"You may or may not agree with everything in here, but that is not the point."
"It takes an engaging and unique look at the world through the lens of an economist and the results are quite compelling."
"I thought this book was both thought provoking and interesting."
"Really a great book."
The companion book to COURSERA®'s wildly popular massive open online course "Learning How to Learn" Whether you are a student struggling to fulfill a math or science requirement, or you are embarking on a career change that requires a new skill set, A Mind for Numbers offers the tools you need to get a better grasp of that intimidating material. When she saw how her lack of mathematical and technical savvy severely limited her options—both to rise in the military and to explore other careers—she returned to school with a newfound determination to re-tool her brain to master the very subjects that had given her so much trouble throughout her entire life. How do you come to love math and science, and how do you come to learn math and science? Barbara Oakley is the magician who will help you do both.” —Francisco J. Ayala, University Professor and Donald Bren Professor of Biological Sciences, University of California, Irvine, and former President and Chairman of the Board, American Association for the Advancement of Science. But now that learners have a handy guide for ‘knowing better’ they will also be able to ‘do better.’” —Shirley Malcom, Head of Education and Human Resources Programs, American Association for the Advancement of Science “ A Mind for Numbers is an excellent book about how to approach mathematics, science, or any realm where problem solving plays a prominent role.” —J. Given the urgent need for America to improve its science and math education so it can stay competitive, A Mind for Numbers is a welcome find.” —Geoffrey Canada, President, Harlem Children's Zone "It's easy to say 'work smarter, not harder,' but Barbara Oakley actually shows you how to do just that, in a fast-paced and accessible book that collects tips based on experience and sound science. —Glenn Harlan Reynolds, Beauchamp Brogan Distinguished Professor of Law, The University of Tennessee “ A Mind for Numbers is a splendid resource for how to approach mathematics learning and in fact learning in any area. This is a must-read for anyone who has struggled with mathematics and anyone interested in enhancing their learning experience.” —David C. Geary, Curators’ Professor of Psychological Sciences and Interdisciplinary Neuroscience, University o f Missouri. “For students afraid of math and science and for those who love the subjects, this engaging book provides guidance in establishing study habits that take advantage of how the brain works.” —Deborah Schifter, Principal Research Scientist, Science and Mathematics Programs, Education Development Center, Inc.
Reviews
Find Best Price at Amazon"Dr. Oakley does a masterful job in introducing the science of learning to readers in a way that is very engaging, practical, infectious and liberating."
"The author explains in details why the strategies presented work and this makes a difference with merely reading about “how to study”. I need to read it all over again because it is so full of information... Good luck to you all."
"It really helps to understand how our brain works and what we can do to achieve our objectives not only in math but in any subject or in general."
"Perhaps the flipped classroom idea will encourage more exercised which develop this skill, but I think we have just scratched the surface on new techniques to encourage innovation in school settings."
"Mrs. Oakley was able to capture with words (and scientific explanations) our mind's phenomena which makes it possible now to share the wisdom of experienced learners with novice ones."
"Highly Recommend to take the course "Learning how to Learn" on Coursera.org."
"Wish I have read this book years ago."
"Wonderful book, not only for being good at math, but at any task of your life where you need to focus, even when you don't really love doing it."
Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. His research focuses on how to make data analysis better, faster and easier, with a particular emphasis on the use of visualization to better understand data and models. Garrett received his Ph.D at Rice University in Hadley Wickham's lab, where his research traced the origins of data analysis as a cognitive process and identified how attentional and epistemological concerns guide every data analysis.
Reviews
Find Best Price at Amazon"Unsurprisingly the approach that they expound utilises the "hadleyverse" a collection of packages (ggplot2 for visualisation, tidyr for reshaping, dplyr for selecting and filtering, purrr for functional programming, broom for linear models etc) that dramatically speed up most of the common steps involved in an analysis. The book is broken up into a number of sections that effectively builds up the ability to ingest, transform, visualise and model datasets. On a broader note with Max Kuhn (author of the excellent "Applied Predictive Modelling" with Kjell Johnson) joining Wickham and Grolemund at RStudio, it is a great time to start your R journey."
"Even after reading through just a bit of it, it seems extremely straightforward and like it's going to be great at explaining data science and beginning programming which is great since I am just starting with programming of any sort."
"I am looking forward to their next book."
"Very good."
"After some Coursera classes and a few books, I am really starting to finally understand R. But, this books and the Tidyverse set of packages is a game changer."
"A good book for understanding handy tools in R."
"A great introduction to R and it's many applications within data analysis."
"This is a must-read data science introductory book, peerless!"
Best Computer Mathematics
The text covers topics on differential equations such as first-order ordinary differential equations, higher order differential equations, power series solutions of ordinary differential equations, the Laplace Transform, systems of ordinary differential equations, and Fourier Series and applications to partial differential equations. I am tempted to make this. the sole, required text for that course". March 2003 Integrates new applications from a variety of fields, especially biology, physics, and engineering, and is a perfect introduction for Mathematica beginners.
Reviews
Find Best Price at Amazon"If you're taking a course in ODEs and your primary text doesn't have some kind of Mathematica supplement, then this book might help you learn to solve differential equations with Mathematica."
"In Chap 2, for instance, I have found a couple of places were the examples using Mathematica and those worked out on paper do not follow each other."
"If you're interested in differential equations and numerical calculations using Mathematica this book offers a good guide through the main different topics of these kind of problems."
"Abell and Braselton strike a nice balance between the analytical solution of differential equations by hand, and numerical solution by computer."
"No outdated firmware, great battery life, works in hot and cold environments."
"What a great book!"
"This book explains differential equations in a mathematical context rather than simply a "plug and chug" approach."
"Unless you are a complete novice in the field of differential equations, don't buy this book!"
Best Differential Equations
Freakonomics is a groundbreaking collaboration between Levitt and Stephen J. Dubner, an award-winning author and journalist. Thus the new field of study contained in this book: freakonomics.Through forceful storytelling and wry insight, Levitt and Dubner show that economics is, at root, the study of incentiveshow people get what they want, or need, especially when other people want or need the same thing. What unites all these stories is a belief that the modern world, despite a great deal of complexity and downright deceit, is not impenetrable, is not unknowable, andif the right questions are askedis even more intriguing than we think. Freakonomics establishes this unconventional premise: If morality represents how we would like the world to work, then economics represents how it actually does work. It will literally redefine the way we view the modern world.Bonus material added to the revised and expanded 2006 edition.The original New York Times Magazine article about Steven D. Levitt by Stephen J. Dubner, which led to the creation of this book.Seven Freakonomics columns written for the New York Times Magazine, published between August 2005 and April 2006. “Levitt dissects complex real-world phenomena, e.g. baby-naming patterns and Sumo wrestling, with an economist’s laser.” (San Diego Union-Tribune). This is bracing fun of the highest order.” (Kurt Andersen, host of public radio's Studio 360 and author of Turn of the Century). “Freakonomics challenges conventional wisdom and makes for fun reading.” (Book Sense Picks and Notables). Steven D. Levitt, a professor of economics at the University of Chicago, was awarded the John Bates Clark Medal, given to the most influential American economist under forty. Stephen J. Dubner, an award-winning journalist and radio and TV personality, has worked for the New York Times and published three non- Freakonomics books.
Reviews
Find Best Price at Amazon"Indeed, the most common reaction I get from people when telling them that I am an economist is that they have read Freakonomics, which implies that they have at least seen some work similar to what I do at aguanomics. All I remember was a lot of math and curves.” This depressing outcome results from lecturers who merely reproduce problems and equations on the blackboard, without helping students understand either why those theories are used or how they came to be so popular with economists. Third, there are books like mine [pdf] that try to explain how to improve failing policies using basic economic insights and incentives. This book with a memorable (but useless) name provides readers with just-so stories that are good for cocktail conversations but not for understanding economics. What struck me is their ongoing attempts to hold onto at least some elements in the original claim in later blog posts in what I’d call a “my-ladydoth-protest-too-much” manner. Looking over their other chapters (on cheating sumo wrestlers, drug dealers who live with their moms, the KKK as a multilevel marketing organization, etc. ), I agree that the chapters are interesting and thought provoking, but they do not provide “lessons on the hidden side of everything.” Instead, they read like a series of magazine articles whose quirky “insights” might contribute to your next cocktail conversation. [7] I didn’t detect any reliable technique (except perhaps to collect a neat dataset and call Steve Levitt), and that’s where I was disappointed. In this case, street dealers are (a) NOT condemned to death, (b) not able to find other work with their experience, and (c) not aware of their statistical mortality as much as their potential wealth. Dubner and Levitt present interesting puzzles worthy of cocktail conversation, but they overstate their contributions and accuracy (“numbers don’t lie” but theory can be incomplete or just wrong). He's a fine person and excellent economist, but this book is too “pop” in its oversimplification of his work and hagiographic treatment of his insights. Yes, he brings interesting statistical tools to“freaky” questions, but he’s not a “rogue economist exploring the hidden side of everything.” He’s just a guy with a dataset and empirical theory who finds some strong correlations. (8) My years of experience traveling in 100+ countries leads me to respect the diversity of beliefs and institutions that result in a variety of outcomes. As another example, take Dubner on page 199, who writes “that paper [on police officer counts and crime] was later disputed… a gradate student found an obvious mathematical mistake in it — but Levitt’s ingenuity was obvious.” I’m not sure I’d say the same about someone whose claims rested on logic with “obvious mathematical mistakes”!"
"LOVE THIS BOOK!"
"I enjoyed the many hidden causal connections that no one without the proper research could ever have put together."
"This book is absolutely brilliant."
"You may or may not agree with everything in here, but that is not the point."
"It takes an engaging and unique look at the world through the lens of an economist and the results are quite compelling."
"I thought this book was both thought provoking and interesting."
"Really a great book."
Best Game Theory
In this powerful and dramatic biography Sylvia Nasar vividly recreates the life of a mathematical genius whose career was cut short by schizophrenia and who, after three decades of devastating mental illness, miraculously recovered and was honored with a Nobel Prize. Or the "Phantom of Fine Hall," a figure many students had seen shuffling around the corridors of the math and physics building wearing purple sneakers and writing numerology treatises on the blackboards. Born in West Virginia, the flamboyant mathematical wizard rubbed elbows at Princeton and MIT with Einstein, John von Neumann and Norbert Wiener. He compartmentalized his secret personal life, shows Nasar, hiding his homosexual affairs with colleagues from his mistress, a nurse who bore him a son out of wedlock, while he also courted Alicia Larde, an MIT physics student whom he married in 1957. Nasar, an economics correspondent for the New York Times, is equally adept at probing the puzzle of schizophrenia and giving a nontechnical context for Nash's mathematical and scientific ideas.
Reviews
Find Best Price at Amazon"Mirroring the arc of Nash’s own life, Nassar splits the book into several parts: the first part covers Nash’s early life and mathematical blossoming; the second part elucidates his burgeoning relationships and the importance of connections to the outside world, as well as his growing star and significant mathematical contributions. The third section delves into some of the roots of his coming mental illness, both in terms of mathematical failures and turmoil within his personal life, as well as the first acute symptoms and subsequent hospitalization. The fourth part dives deeply into his downfall and plunge into mental illness, with the psychological reasoning and process behind it."
"Nasar does a good job of telling the story without bogging down in mathematical terms."
"I appreciated this book for the depth of historical perspective it offered about mathematics, John Nash's struggle with schizophrenia, and the politics involved in the Nobel prizes."
"John Nash, the heralded math genius who would be around 83 years old now, fathered a son with the same illness."
"After watching the movie, I admired Josh Nash, but I after reading this book my admiration has triple."
"I purchased this book in order to learn about John Nash, Jr.'s life. Instead I found a book that rambled on about all sorts of others, but frequently it took pages and pages to get to John Nash, Jr.'s name or anything that related to him."
Best Graph Theory
Aimed at "the mathematically traumatized," this text offers nontechnical coverage of graph theory, with exercises.
Reviews
Find Best Price at Amazon"Clear, yet not because of that lacks in rigor."
"Richard J. Trudeau provides a good introduction to Graph Theory."
"just not sure where to download code snippets."
"Great book and it shipped fast.v."
"Great introduction for those who study as a mathematicians... And besides, the Dover outlines math books are really helping!!"
"Well written!"
"Some basic math understanding required but still well-written."
Best Linear Programming
If You Are New To Python Programming And Want To Start From A Solid Foundation.. 'Python Programming: A Complete Guide For Beginners To Master And Become An Expert In Python Programming Language' is a complete guide, covering all the basic concepts and takes you to the expert level with simple to understand, follow and learn examples and explanations. ------------------. Tags: Python, Python programing, Python exercise, Python reference, Python, Python course, Python book, Python Kindle, Python Beginners, learning Python, Python language, Python examples, Python tutorials, Python programming language, Python coding, Python programming for beginners, Python for Dummies, python machine learning, python beginners guide.
Reviews
Find Best Price at Amazon"Are you searching for something good stuff for learning all the basics of python programming?"
"Python programming contain multiple benefits that we can get if we choose accurate guide book and this book is one of them."
"Like in this book very much that, as mentioned in title, it's a practical book."
"Covers benefits of the language, basic commands, statements, functions."
"This book gives a good tour of the language, in an interesting way, by working through multiple video game programs."
"I definitely recommend this book to anyone interested in learning python."
"Python, being a programming language with a pretty much universally useful is instructed quickly yet in an extremely composed way."
"I suspect that the first three 5-star reviews are fake -- particularly as their grammar/sentence structure is extremely similar to that presented within the book. For example: "As a result, it gained the power and performance that it has within itself but in a secret nutshell come to the industry." Unfortunately, since the author apparently decided to pick and choose random sentences and paragraphs from different websites (including the tutorial information available for free from Python), the information is rarely complete and often doesn't make much sense. Neither of those examples here has complete instructions, but you can find them online for free in multiple places! 6) It was also apparently originally an eBook, and they didn't bother changing the language to reflect the print version. ON page 20, it begins with, "in this part of the eBook..." It also indicates on multiple occasions that the reader should copy and paste some of the text into Python."
Best Probability & Statistics
Freakonomics is a groundbreaking collaboration between Levitt and Stephen J. Dubner, an award-winning author and journalist. Thus the new field of study contained in this book: freakonomics.Through forceful storytelling and wry insight, Levitt and Dubner show that economics is, at root, the study of incentiveshow people get what they want, or need, especially when other people want or need the same thing. What unites all these stories is a belief that the modern world, despite a great deal of complexity and downright deceit, is not impenetrable, is not unknowable, andif the right questions are askedis even more intriguing than we think. Freakonomics establishes this unconventional premise: If morality represents how we would like the world to work, then economics represents how it actually does work. It will literally redefine the way we view the modern world.Bonus material added to the revised and expanded 2006 edition.The original New York Times Magazine article about Steven D. Levitt by Stephen J. Dubner, which led to the creation of this book.Seven Freakonomics columns written for the New York Times Magazine, published between August 2005 and April 2006. “Levitt dissects complex real-world phenomena, e.g. baby-naming patterns and Sumo wrestling, with an economist’s laser.” (San Diego Union-Tribune). This is bracing fun of the highest order.” (Kurt Andersen, host of public radio's Studio 360 and author of Turn of the Century). “Freakonomics challenges conventional wisdom and makes for fun reading.” (Book Sense Picks and Notables). Steven D. Levitt, a professor of economics at the University of Chicago, was awarded the John Bates Clark Medal, given to the most influential American economist under forty. Stephen J. Dubner, an award-winning journalist and radio and TV personality, has worked for the New York Times and published three non- Freakonomics books.
Reviews
Find Best Price at Amazon"Indeed, the most common reaction I get from people when telling them that I am an economist is that they have read Freakonomics, which implies that they have at least seen some work similar to what I do at aguanomics. All I remember was a lot of math and curves.” This depressing outcome results from lecturers who merely reproduce problems and equations on the blackboard, without helping students understand either why those theories are used or how they came to be so popular with economists. Third, there are books like mine [pdf] that try to explain how to improve failing policies using basic economic insights and incentives. This book with a memorable (but useless) name provides readers with just-so stories that are good for cocktail conversations but not for understanding economics. What struck me is their ongoing attempts to hold onto at least some elements in the original claim in later blog posts in what I’d call a “my-ladydoth-protest-too-much” manner. Looking over their other chapters (on cheating sumo wrestlers, drug dealers who live with their moms, the KKK as a multilevel marketing organization, etc. ), I agree that the chapters are interesting and thought provoking, but they do not provide “lessons on the hidden side of everything.” Instead, they read like a series of magazine articles whose quirky “insights” might contribute to your next cocktail conversation. [7] I didn’t detect any reliable technique (except perhaps to collect a neat dataset and call Steve Levitt), and that’s where I was disappointed. In this case, street dealers are (a) NOT condemned to death, (b) not able to find other work with their experience, and (c) not aware of their statistical mortality as much as their potential wealth. Dubner and Levitt present interesting puzzles worthy of cocktail conversation, but they overstate their contributions and accuracy (“numbers don’t lie” but theory can be incomplete or just wrong). He's a fine person and excellent economist, but this book is too “pop” in its oversimplification of his work and hagiographic treatment of his insights. Yes, he brings interesting statistical tools to“freaky” questions, but he’s not a “rogue economist exploring the hidden side of everything.” He’s just a guy with a dataset and empirical theory who finds some strong correlations. (8) My years of experience traveling in 100+ countries leads me to respect the diversity of beliefs and institutions that result in a variety of outcomes. As another example, take Dubner on page 199, who writes “that paper [on police officer counts and crime] was later disputed… a gradate student found an obvious mathematical mistake in it — but Levitt’s ingenuity was obvious.” I’m not sure I’d say the same about someone whose claims rested on logic with “obvious mathematical mistakes”!"
"I enjoyed the many hidden causal connections that no one without the proper research could ever have put together."
"This book is absolutely brilliant."
"You may or may not agree with everything in here, but that is not the point."
"I thought this book was both thought provoking and interesting."
"Really a great book."
"Here's my verdict: if you want a fun, engaging read, and have a lot of time, don't read non-fiction a lot, etc., this would be a lot of fun."
"Only gripe I have with this particular edition (really of no fault to the book or its authors) is that I thought it was much longer (311 pages) than the actual book (192 pages) is."
Best Vector Analysis
The new edition offers a contemporary design, an increased number of practice exercises, and content changes based on reviewer feedback, giving this classic text a modern appeal. Marsden, California Institute of Technology, Pasadena.
Reviews
Find Best Price at Amazon"I use Geogebras 3D graphing calculator on my phone to visualize some of the concepts so lab keys or octave/matlab have been entirely unnecessary."
"The book is really helpful."
"Later when the book talks about limits, differentiation, and integration, the definitions and theorems become almost impossible to interpret without getting a concept wrong."
"RECEIVED THE BOOK IN EXCELLENT CONDITION; SO FAR THE BOOK MEETS MY EXPECTATIONS AND I EXPECT IT TO CONTINUE!"
"Very difficult to understand."
Best Discrete Mathematics
Discrete Mathematics and its Applications, Seventh Edition, is intended for one- or two-term introductory discrete mathematics courses taken by students from a wide variety of majors, including computer science, mathematics, and engineering. Ken Rosen (Middletown, NJ) is a distinguished member of the technical staff at AT & T Labs.
Reviews
Find Best Price at Amazon"I absolutely hated this book , most of the examples are not clear, and is mostly theory ."
"The book isnt completely awful, and I got it for 1/4th of the price at the university book store so I can't really complain."
"It's been great for a proofs class which uses a completely indecipherable text (A Transition to Advanced Mathematics)."
"Good book, it's definitely the international version."
"This was a decent book, it was cheap in comparison to the 6th edition, not bad condition."
"This book had everything I needed to tackle the subject except it couldn't fix my professor's thick accent."
"This book is the leading college textbook on digital logic."