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The Gone Fishin' Portfolio
Learn how to invest, relax, and let your money do the work with this incredible guide Fully revised, updated, and expanded for the first time since its New York Times Best-Selling debut in 20TK, the legendary Alexander Green's essential guide for individual investors spells out stock-market success for everyone from first-timers to seasoned pros. The Gone Fishin’ Portfolio: Get Wise, Get Wealthy…and Get on With Your Life, Second Edition delivers a long-term investment strategy that lets you reap the rewards of financial success with a simple, yet sophisticated, strategy that increases returns, reduces risk, and leaves you with time to enjoy the finer things in life. You’ll learn about the fundamental relationship between risk and reward in the financial markets and get a trading insider’s view of how the investment industry actually works. With The Gone Fishin’ Portfolio , you’ll also discover: How to take your financial future into your own hands How to invest in a way that doesn’t require you to spend every waking moment worrying about your money How to avoid the most common traps the investment industry sets for you Why skilled investing doesn’t have to be complicated Perfect for individual investors who want to put their money to work for them, The Gone Fishin’ Portfolio gives you all the tools you need to manage your own money and maximize your investment returns today.
Machine Learning For Dummies
Your comprehensive entry-level guide to machine learning While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina —it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit- scoring, building accurate and sophisticated pricing models—and way, way more. Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn’t assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying—and fascinating—math principles that power machine learning but also shows that you don’t need to be a math whiz to build fun new tools and apply them to your work and study. Understand the history of AI and machine learning Work with Python 3.8 and TensorFlow 2.x (and R as a download) Build and test your own models Use the latest datasets, rather than the worn out data found in other books Apply machine learning to real problems Whether you want to learn for college or to enhance your business or career performance, this friendly beginner’s guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that’s impacting lives for the better all over the world.
