Matt Henderson

Money for Something - A Handy Field Guide for Turning Small Investments into Financial Freedom

Dave Wood

Swift for the Really Impatient is the perfect jumpstart to the Swift language for every experienced Objective-C developer. Leading iOS and OS X developers Matt Henderson and Dave Wood help you take full advantage of Swift’s powerful innovations, without wasting time on basics you already know. Through expert code examples and crystal-clear explanations, Henderson and Wood reveal how Swift features improve on Objective-C and show how to make the most of them. You’ll quickly master “Swift-er” techniques for using objects, classes, optionals, generics, functions, closures, and more. Each chapter includes hands-on exercises designed to reinforce and deepen your skills. You’ll learn how to re-implement common Objective-C programming solutions in Swift, improving code clarity, power, and performance on both desktop and mobile devices. And, because you probably won’t (or can’t) abandon Objective-C anytime soon, you’ll discover how to use both languages together, smoothly integrate Swift into existing projects and workflows, and gradually move your current code base into the future. Coverage includes Using Swift’s new patterns and concise, expressive syntax to produce safer, more reliable code Leveraging the surprising power of Swift’s data structures Utilizing Swift’s type system to help prevent errors common in other languages Using optionals to correctly handle invalid, missing, or unknown values Implementing generics to reduce duplication, improve power, and simplify maintenance Interacting with C and Objective-C APIs Abstracting functionality for reusable code while maintaining type safety Isolating code in clean, flexible, low-overhead closures Combining Swift with Objective-C in the same project Avoiding gotchas when importing Objective-C classes in Swift projects Nesting types to improve code clarity Creating shared objects with singletons Managing threading and concurrency with Swift’s advanced Grand Central Dispatch (GCD) patterns

Swift for the Really Impatient

Want to predict what your customers want to buy without them having to tell you? Want to accurately forecast sales trends for your marketing team better than any employee could ever do? Then keep reading. You've heard it before. The rise of artificial intelligence and how it will soon replace human beings and take away our jobs. What exactly is it capable of and how does this impact me? The real question you should be asking yourself is how can I use this to my advantage? How can I use machine learning to benefit my business and surpass my business goals? This book has the answer. Designed for the tech novice, this book will break down the fundamentals of machine learning and what it truly means. You will learn to leverage neural networks, predictive modelling, and data mining algorithms, illustrated with real-world applications for finance, business and marketing. Machine learning isn't just for scientists or engineers anymore. It's become accessible to anyone, and you can discover it's benefits for your business. In Machine Learning for Beginners 2019, we will reveal: ✅ The fundamentals of machine learning. ✅ Each of the buzzwords defined! ✅ 20 real-world applications of machine learning. ✅ How to predict when a customer is about to churn (and prevent it from happening). ✅ How to "upsell" to your customers and close more sales. ✅ How to deal with missing data or poor data. ✅ Where to find free datasets and libraries. ✅ Exactly which machine learning libraries you need. ✅ And much much more! I know you might be overwhelmed at this point, but I assure you this book has been designed for absolute beginners. Everything is in plain English. There is no code, so no coding experience is required. You won't walk away a machine learning god, but you will walk away with key strategies you can implement right away to improve your business. ���� If you are ready to start making big changes to your business, scroll up and click buy. ����

The Ultimate Guide to Artificial Intelligence, Neural Networks, and Predictive Modelling (Data Mining Algorithms & Applications for Finance, Business & Marketing)

Matt Henderson

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