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.

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.

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.

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.

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.

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.

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.

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.

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.

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.

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.

The Little Book of Common Sense Investing is the classic guide to getting smart about the market. Legendary mutual fund pioneer John C. Bogle reveals his key to getting more out of investing: low-cost index funds. Bogle describes the simplest and most effective investment strategy for building wealth over the long term: buy and hold, at very low cost, a mutual fund that tracks a broad stock market Index such as the S&P 500.

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.

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.

One in five Americans now has medical debt in collections and rising health care costs today threaten every small business in America. Dr Makary, one of the nation's leading health care experts, travels across America and details why health care has become a bubble. Drawing from on-the-ground stories, his research and his own experience, The Price We Pay paints a vivid picture of price-gouging, middlemen and a series of elusive money games in need of a serious shake-up.

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.

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.

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.

We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.

There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated.

In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.

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.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.