Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples.

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

As data floods into your company, you need to put it to work right away—and SQL is the best tool for the job. With the latest edition of this introductory guide, author Alan Beaulieu helps developers get up to speed with SQL fundamentals for writing database applications, performing administrative tasks, and generating reports. You'll find new chapters on SQL and big data, analytic functions, and working with very large databases.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

Nearly everyone is familiar with holograms - three-dimensional images projected into space with the aid of a laser. Two of the world's most eminent thinkers believe that the universe itself may be a giant hologram, quite literally a kind of image or construct created, at least in part, by the human mind. University of London physicist David Bohm, one of the world's most respected quantum physicists, and Stanford neurophysiologist Karl Pribram, an architect of our modern understanding of the brain, have developed a remarkable new way of looking at the universe.

In the newly revised Second Edition of Quantitative Trading: How to Build Your Own Algorithmic Trading Business, quant trading expert Dr. Ernest P. Chan shows you how to apply both time-tested and novel quantitative trading strategies to develop or improve your own trading firm. You'll discover new case studies and updated information on the application of cutting-edge machine learning investment techniques

The business triumphs of Bill Gates are widely known: the twenty-year-old who dropped out of Harvard to start a software company that became an industry giant and changed the way the world works and lives; the billionaire many times over who turned his attention to philanthropic pursuits to address climate change, global health, and U.S. education.

Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.

At its simplest, Bayes’s theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event. But in Everything Is Predictable, Tom Chivers lays out how it affects every aspect of our lives. He explains why highly accurate screening tests can lead to false positives and how a failure to account for it in court has put innocent people in jail. A cornerstone of rational thought, many argue that Bayes’s theorem is a description of almost everything. But who was the man who lent his name to this theorem?

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.

Aubrey Clayton traces the history of how statistics went astray, beginning with the groundbreaking work of the 17th-century mathematician Jacob Bernoulli and winding through gambling, astronomy, and genetics. Clayton recounts the feuds among rival schools of statistics, exploring the surprisingly human problems that gave rise to the discipline and the all-too-human shortcomings that derailed it.

As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way.

Buy as many lattes as you want. Spend extravagantly on the things you love. Live your rich life instead of tracking every last expense with Ramit Sethi’s simple, powerful, and effective six-week program for gaining control over your finances. This isn’t typical advice from a money expert. In this completely updated second edition, Ramit teaches you how to choose long-term investments and the right bank accounts. With his characteristic no-BS perspective, he shows how to squeeze every hidden benefit out of your credit cards.

By cutting out the noise and providing a clear and proven plan, this road map helps even brand-new entrepreneurs make decisions quickly, get their product up for sale, and launch it to a crowd that is ready and waiting to buy. This one-year plan will guide you through the three stages to your first $1 million: the Grind (months 0-4), the Growth (months 5-8), and the Gold (months 9-12). If your goal is to be a full-time entrepreneur, get ready for one chaotic, stressful, and rewarding year. If you have the guts to complete it, you will be the proud owner of a million-dollar business.

This book grew out of a series of letters to my daughter concerning various things - mostly about money and investing - she was not yet quite ready to hear. Since money is the single most powerful tool we have for navigating this complex world we've created, understanding it is critical.

This classic expose of the Fed has become one of the best-selling books in its category of all time. Where does money come from? Where does it go? Who makes it? The money magician's secrets are unveiled. Here is a close look at their mirrors and smoke machines, the pulleys, cogs, and wheels that create the grand illusion called money. A boring subject? Just wait. You'll be hooked in five minutes. It reads like a detective story - which it really is, but it's all true.

El autor estaba en bancarrota, en solo dos años y medio se convirtió en millonario y construyó una de las más grandes firmas de consultoría para el éxito. Con sus enseñanzas ha tocado la vida de millones de personas. Este audiolibro te enseña a observar como piensas. Es un reto a tus ideas que te limitan, a los razonamientos que no te apoyan y a tus acciones con respecto al dinero.

Since you were old enough to hold a job, you've been hoodwinked to believe that wealth can be created by blindly trusting in the uncontrollable and unpredictable markets: the housing market, the stock market, and the job market. I call this soul-sucking, dream-stealing dogma "The Slowlane" - an impotent financial gamble that dubiously promises wealth in a wheelchair. For those who don't want a lifetime subscription to "settle-for-less", there is an alternative.

Plan Like a Millionaire is part of a riveting three-part series, and it's all about elevating your game and setting goals like a seven-figure earner. In this wealth-inspiring listening journey, Rachel reveals the secrets of how to set goals, manage time wisely, build essential support systems, break free from financial constraints, and make savvy money decisions.

To build a successful business, you need to stop doing random acts of marketing and start following a reliable plan for rapid business growth. Traditionally, creating a marketing plan has been a difficult and time-consuming process, which is why it often doesn’t get done.

Howard Marks, the chairman and cofounder of Oaktree Capital Management, is renowned for his insightful assessments of market opportunity and risk. After four decades spent ascending to the top of the investment management profession, he is today sought out by the world's leading value investors, and his client memos brim with insightful commentary and a time-tested, fundamental philosophy. The Most Important Thing explains the keys to successful investment and the pitfalls that can destroy capital or ruin a career.

Ankur Warikoo is an entrepreneur and content creator whose deep, witty, and brutally honest thoughts on success and failure, money and investing, self-awareness and personal relationships have made him one of India’s top personal brands. In his first book, Ankur puts together the key ideas that have fuelled his journey—one that began with him wanting to be a space engineer and ended with him creating content that has been seen and read and heard by millions. His thoughts range from the importance of creating habits for long-term success to the foundations of money management.

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples.

To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting - and lucrative! - careers in some of today’s hottest programming fields about the technology.

Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.

Quantitative trading strategies - known to many as - black boxes - have gained a reputation of being difficult to explain and even harder to understand. While there is a certain level of complexity to this approach, with the right guidance, you can successfully overcome potential obstacles and begin to excel in this arena.

Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.

In the newly revised Second Edition of Quantitative Trading: How to Build Your Own Algorithmic Trading Business, quant trading expert Dr. Ernest P. Chan shows you how to apply both time-tested and novel quantitative trading strategies to develop or improve your own trading firm. You'll discover new case studies and updated information on the application of cutting-edge machine learning investment techniques

There are no easy decisions in software architecture. Instead, there are many hard parts—difficult problems or issues with no best practices—that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture.

In the constantly evolving world of finance, a solid technical foundation is an essential tool for success. Until the welcomed arrival of authors Josh Rosenbaum and Josh Pearl, no one had taken the time to properly codify the lifeblood of the corporate financier's work - namely, valuation, through all of the essential lenses of an investment banker. With the release of Investment Banking, Third Edition, Rosenbaum and Pearl once again have created the definitive guide that they wish had existed when they were trying to break into Wall Street.

As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.

How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.

This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.