If you have ever found yourself lost halfway through other introductory materials on this topic, this is the book for you. If you don't understand set terminology such as vectors, hyperplanes, and centroids, then this is also the book for you. This starter course isn't a picture story book but does include many visual examples that break algorithms down into a digestible and practical format. As a starter course, this book connects the dots and offers the crash course I wish I had when I first started. The kind of guide I wish had before I started taking on introductory courses that presume you’re two days away from an advanced mathematics exam. That’s why this introductory course doesn’t go further on the subject than other introductory books, but rather, goes a step back. A half-step back in order to help everyone make his or her first strides in machine learning and is an ideal study companion for the visual learner. In this step-by-step guide you will learn: - How to download free datasets - What tools and software packages you need - Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data - Preparing data for analysis, including k-fold Validation - Regression analysis to create trend lines - Clustering, including k-means and k-nearest Neighbors - Naive Bayes Classifier to predict new classes - Anomaly detection and SVM algorithms to combat anomalies and outliers - The basics of Neural Networks - Bias/Variance to improve your machine learning model - Decision Trees to decode classification Please feel welcome to join this starter course by buying a copy, or sending a free sample to your preferred device.

    

    Through humor, a healthy dose of history and philosophy, and real-life examples from his days as a government bureaucrat, Schwartz shows IT leaders (and the whole of business) how to master the arts of the Monkey, the Razor, and the Sumo Wrestler to create a lean, learning, and enabling bureaucracy. For anyone frustrated by roadblocks, irritated you can't move fast enough, suffering under the weight of crushing procedures, this book is for you. No matter your role, you need a playbook for bureaucracy. This is it. With this playbook, you can wield bureaucracy as a superpower and bust through it at the same time.

    Used in university courses and professional seminars all over the world, the text has proven its ability to open minds and sharpen thinking.Originally published in 1975 and reprinted more than twenty times over a quarter century -- and now available for the first time from Dorset House Publishing -- the text uses clear writing and basic algebraic principles to explore new approaches to projects, products, organizations, and virtually any kind of system.Scientists, engineers, organization leaders, managers, doctors, students, and thinkers of all disciplines can use this book to dispel the mental fog that clouds problem-solving. As author Gerald M. Weinberg writes in the new preface to the Silver Anniversary Edition, "I haven’t changed my conviction that most people don’t think nearly as well as they could had they been taught some principles of thinking.”Now an award-winning author of nearly forty books spanning the entire software development life cycle, Weinberg had already acquired extensive experience as a programmer, manager, university professor, and consultant when this book was originally published.With helpful illustrations, numerous end-of-chapter exercises, and an appendix on a mathematical notation used in problem-solving, An Introduction to General Systems Thinking may be your most powerful tool in working with problems, systems, and solutions.

    He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of FiveThirtyEight.com. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the "prediction paradox": The more humility we have about our ability to make predictions, the more successful we can be in planning for the future.In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good-or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary-and dangerous-science.Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise.

     Or build long term income streams that you enjoy and that allow you to finally #ClaimYourFREEDOM® and leave that dreary 9-5 job once and for all. PART 1 starts with the Best Places to Find Jobs to Work from Home grouped by skill and experience level: Basic Skills Intermediate Skills PRO Skills College Degree Required This is followed by a number of flexible job options in your local area as well as how and where to find jobs fast. Next, you'll find several innovative ways to monetize your home and car (and no - not just Uber & AirBnB....). Then we get to the first list of Top Home-Based Business Opportunities, some with significant income potential - even on a part time basis. PART 2 lists more home-based job and business ideas grouped by your interests, passions and hobbies: Pets Travel (local) Arts & Crafts Writing Photo + Video Fashion Cooking Health & Wellness Gardening Kids

    In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it.Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer?How Not to Be Wrong presents the surprising revelations behind all of these questions and many more, using the mathematician’s method of analyzing life and exposing the hard-won insights of the academic community to the layman—minus the jargon. Ellenberg chases mathematical threads through a vast range of time and space, from the everyday to the cosmic, encountering, among other things, baseball, Reaganomics, daring lottery schemes, Voltaire, the replicability crisis in psychology, Italian Renaissance painting, artificial languages, the development of non-Euclidean geometry, the coming obesity apocalypse, Antonin Scalia’s views on crime and punishment, the psychology of slime molds, what Facebook can and can’t figure out about you, and the existence of God.Ellenberg pulls from history as well as from the latest theoretical developments to provide those not trained in math with the knowledge they need. Math, as Ellenberg says, is “an atomic-powered prosthesis that you attach to your common sense, vastly multiplying its reach and strength.” With the tools of mathematics in hand, you can understand the world in a deeper, more meaningful way. How Not to Be Wrong will show you how.

    But how do you defeat them? Based on Authentic firsthand case studies Rasmus Ankersen answers some of the toughest management questions of today.

    Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance™ focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources. Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how: Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work. Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods. Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives. A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset. Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve.

    Essentially, you make an initial guess, and then get more data to improve it. Bayes Theorem, or Bayes Rule, has a ton of real world applications, from estimating your risk of a heart attack to making recommendations on Netflix But It Isn't That Complicated This book is a short introduction to Bayes Theorem. It is only 15 pages long, and is intended to show you how Bayes Theorem works as quickly as possible. The examples are intentionally kept simple to focus solely on Bayes Theorem without requiring that the reader know complicated probability distributions. If you want to learn the basics of Bayes Theorem as quickly as possible, with some easy to duplicate examples, this is a good book for you.

    He transformed Ryanair from a loss-making joke of an Irish carrier into one of the most valuable airlines in the world, and in the process he has revolutionized the very nature of commercial aviation. In this, the first biography of O'Leary, Alan Ruddock portrays the man in three dimensions and examines the business miracle - often talked about but poorly understood - that O'Leary has wrought.'Ruddock's fast-paced retelling of Ryanair's rise and rise confirms O'Leary's insistence that his success has little to do with the management maxims of business gurus and everything to do with graft and ruthless attention to detail' Observer'Probably the definitive Ryanair story ... a good read' Sunday Independent'The fullest and most accurate picture of O'Leary to date' Irish Daily Mail'Unlike previous books which simply chart the growth of the airline, this one is bound to get under O'Leary's skin because it reveals a great deal about his hugely driven character' Irish Independent'Ruddock is good on the flavour of the man, a bundle of energy whose two favourite words start with an F and an S (they aren't flower and sugar)' Irish Examiner

    Accelerate innovation and actively shape the future—before someone else does it for you! Digital transformation has divided us all into two camps: the disruptor and the disrupted. The Anticipatory Organization gives you the tools you need to see disruption before it happens, allowing you to turn change into advantage. In The Anticipatory Organization, Burrus shows us that the future is far more certain than we realize, and finding certainty in an uncertain world provides a big advantage for those who know how and where to look for it. Inspired by the dramatic results that organizations are experiencing from his award-winning learning system, The Anticipatory Organization offers a comprehensive way to identify game-changing opportunities. Using the principles of this proven model, you will learn how to elevate planning, accelerate innovation, and transform results by pinpointing and acting upon enormous opportunities waiting to be discovered. Readers will learn how to: • Separate the Hard Trends that will happen from the Soft Trends that might happen • Anticipate disruptions, problems, and game-changing opportunities • Identify and pre-solve predictable problems  • Accelerate innovation (both everyday innovation and exponential innovation)  • Pinpoint and act upon enormous untapped opportunities  ​• Skip problems and barriers to succeed faster

    Engineering professor Barbara Oakley knows firsthand how it feels to struggle with math. She flunked her way through high school math and science courses, before enlisting in the army immediately after graduation. 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. In A Mind for Numbers, Dr. Oakley lets us in on the secrets to effectively learning math and science—secrets that even dedicated and successful students wish they’d known earlier. Contrary to popular belief, math requires creative, as well as analytical, thinking. Most people think that there’s only one way to do a problem, when in actuality, there are often a number of different solutions—you just need the creativity to see them. For example, there are more than three hundred different known proofs of the Pythagorean Theorem. In short, studying a problem in a laser-focused way until you reach a solution is not an effective way to learn math. Rather, it involves taking the time to step away from a problem and allow the more relaxed and creative part of the brain to take over. A Mind for Numbers shows us that we all have what it takes to excel in math, and learning it is not as painful as some might think!

    

    In his remarkable career, Hearn has worked alongside some of the biggest names in sports entertainment and has seen first-hand the grit and relentless determination that it takes to succeed. Structured around the key skills that Eddie Hearn values the most, this book looks at his business, life, and the drive to succeed. Covering subjects such as discipline, passion, preparation, motivation and failure, this book shows you what it takes to get the most in your life and career. In this insightful and revealing book, Eddie talks about the highs and lows of his career - from negotiating a billion dollar boxing deal to selling out Wembley for the Joshua Klitschko fight - and draws the valuable lessons that we can learn from boxing's toughest performers.