Street-Fighting Mathematics

Street-Fighting Mathematics
Author: Sanjoy Mahajan
Publisher: MIT Press
Total Pages: 152
Release: 2010-03-05
Genre: Education
ISBN: 0262265591

An antidote to mathematical rigor mortis, teaching how to guess answers without needing a proof or an exact calculation. In problem solving, as in street fighting, rules are for fools: do whatever works—don't just stand there! Yet we often fear an unjustified leap even though it may land us on a correct result. Traditional mathematics teaching is largely about solving exactly stated problems exactly, yet life often hands us partly defined problems needing only moderately accurate solutions. This engaging book is an antidote to the rigor mortis brought on by too much mathematical rigor, teaching us how to guess answers without needing a proof or an exact calculation. In Street-Fighting Mathematics, Sanjoy Mahajan builds, sharpens, and demonstrates tools for educated guessing and down-and-dirty, opportunistic problem solving across diverse fields of knowledge—from mathematics to management. Mahajan describes six tools: dimensional analysis, easy cases, lumping, picture proofs, successive approximation, and reasoning by analogy. Illustrating each tool with numerous examples, he carefully separates the tool—the general principle—from the particular application so that the reader can most easily grasp the tool itself to use on problems of particular interest. Street-Fighting Mathematics grew out of a short course taught by the author at MIT for students ranging from first-year undergraduates to graduate students ready for careers in physics, mathematics, management, electrical engineering, computer science, and biology. They benefited from an approach that avoided rigor and taught them how to use mathematics to solve real problems. Street-Fighting Mathematics will appear in print and online under a Creative Commons Noncommercial Share Alike license.

Mathematics for Machine Learning

Mathematics for Machine Learning
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
Total Pages: 392
Release: 2020-04-23
Genre: Computers
ISBN: 1108569323

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.

Teleparallel Gravity

Teleparallel Gravity
Author: Ruben Aldrovandi
Publisher: Springer Science & Business Media
Total Pages: 216
Release: 2012-08-10
Genre: Science
ISBN: 9400751435

Teleparallel Gravity (TG) is an alternative theory for gravitation, which is equivalent to General Relativity (GR). However, it is conceptually different. For example in GR geometry replaces the concept of force, and the trajectories are determined by geodesics. TG attributes gravitation to torsion, which accounts for gravitation by acting as a force. TG has already solved some old problems of gravitation (like the energy-momentum density of the gravitational field). The interest in TG has grown in the last few years. The book here proposed will be the first one dedicated exclusively to TG, and will include the foundations of the theory, as well as applications to specific problems to illustrate how the theory works.

Breaking Hearts

Breaking Hearts
Author: Roy F. Baumeister
Publisher: Guilford Press
Total Pages: 256
Release: 1994-08-05
Genre: Psychology
ISBN: 9780898621525

Artificial life refers to techniques that seek to re-create living organisms and creatures by computer, including simulation of behavior processes resulting in consciousness and emotions. This is the first book to demonstrate artificial life in virtual reality where up to now little has been done to reproduce biological processes. Includes 16 pages of color photos and images.

Integrated Investing

Integrated Investing
Author: Bonnie Foley-Wong
Publisher: Bevel Press
Total Pages:
Release: 2016-10-15
Genre:
ISBN: 9780995327405

Balancing financial skills with an ethical mindset and intuition is challenging in an increasingly complex world and market. Integrated Investing offers an insightful methodology and practice for making investment decisions that reap rewards while matching your values. Developed over more than two decades' experience in finance, investment banking and venture capital, Foley-Wong's tools will shift your perspective about the relationship between money and social good, while techniques will help you to evaluate investments in high-stakes situations. The result? You will learn to make savvy investments time and again that meet your goals while also benefiting your community and planet. Radical yet practical, provoking and empowering, Integrated Investing is a must read for anyone with the desire for a better world, and a dollar to create it. Bonnie Foley-Wong is the founder of Pique Ventures, an impact investment and management company, and Pique Fund, an angel fund focusing on leadership diversity and women-led ventures. She has made and financed over $1 billion of alternative investments in Europe and North America. Having grown up in a working-class family, education had the biggest impact on her life. She strongly believes in empowering people with knowledge to make better and more mindful investment decisions. Foley-Wong is a Chartered Professional Accountant, Chartered Accountant, and a CFA charterholder. She presently resides in Vancouver, Canada, with her husband and young daughter.

Step by Step Guide to OKRs

Step by Step Guide to OKRs
Author: Alexander Maasik
Publisher: Weekdone
Total Pages: 31
Release: 2017-02-02
Genre: Business & Economics
ISBN:

This “Step by Step Guide to OKRs” is a practical guide to goal setting that offers concrete examples to help you start setting impactful and meaningful goals. This book teaches you how to manage a team better and create a feeling of success.

A Great Place to Work For All

A Great Place to Work For All
Author: Michael C. Bush
Publisher: Berrett-Koehler Publishers
Total Pages: 252
Release: 2018-03-13
Genre: Business & Economics
ISBN: 1523095091

Cover -- Half Title -- Title -- Copyright -- Dedication -- Contents -- Foreword A Better View of Motivation -- Introduction A Great Place to Work For All -- PART ONE Better for Business -- Chapter 1 More Revenue, More Profit -- Chapter 2 A New Business Frontier -- Chapter 3 How to Succeed in the New Business Frontier -- Chapter 4 Maximizing Human Potential Accelerates Performance -- PART TWO Better for People, Better for the World -- Chapter 5 When the Workplace Works For Everyone -- Chapter 6 Better Business for a Better World -- PART THREE The For All Leadership Call -- Chapter 7 Leading to a Great Place to Work For All -- Chapter 8 The For All Rocket Ship -- Notes -- Thanks -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- R -- S -- T -- U -- V -- W -- Z -- About Us -- Authors

MrExcel XL

MrExcel XL
Author: Bill Jelen
Publisher:
Total Pages: 0
Release: 2015-09
Genre: Business
ISBN: 9781615470402

The 40 essential tips that all Excel users need to know. Crowdsourced by more than 300 contributors who collaborated on choosing the 40 best Excel tips, MrExcel XL provides users with a concise book that can be absorbed in under an hour. Includes a bonus 30 tips, keyboard shortcuts, Excel jokes, Excel cocktails. Anyone who uses Excel will be able to turn to any page and pick up tips that will save them hours of work.

The Seven Pillars of Statistical Wisdom

The Seven Pillars of Statistical Wisdom
Author: Stephen M. Stigler
Publisher: Harvard University Press
Total Pages: 0
Release: 2016-03-07
Genre: Social Science
ISBN: 9780674088917

What gives statistics its unity as a science? Stephen Stigler sets forth the seven foundational ideas of statistics—a scientific discipline related to but distinct from mathematics and computer science. Even the most basic idea—aggregation, exemplified by averaging—is counterintuitive. It allows one to gain information by discarding information, namely, the individuality of the observations. Stigler’s second pillar, information measurement, challenges the importance of “big data” by noting that observations are not all equally important: the amount of information in a data set is often proportional to only the square root of the number of observations, not the absolute number. The third idea is likelihood, the calibration of inferences with the use of probability. Intercomparison is the principle that statistical comparisons do not need to be made with respect to an external standard. The fifth pillar is regression, both a paradox (tall parents on average produce shorter children; tall children on average have shorter parents) and the basis of inference, including Bayesian inference and causal reasoning. The sixth concept captures the importance of experimental design—for example, by recognizing the gains to be had from a combinatorial approach with rigorous randomization. The seventh idea is the residual: the notion that a complicated phenomenon can be simplified by subtracting the effect of known causes, leaving a residual phenomenon that can be explained more easily. The Seven Pillars of Statistical Wisdom presents an original, unified account of statistical science that will fascinate the interested layperson and engage the professional statistician.