Machine Learning Book and Video Course

Machine Learning Book and Video Course

Smart homes, self-driving cars, Siri, Alexa – some typical examples of how machine learning and artificial intelligence have become part of our daily life. Wouldn’t it be cool to understand the concepts behind these complex topics?

In my book Machine Learning with Core ML 2 and Swift, I’m going to familiarize you with common machine learning tasks. We’ll focus on practical applications, using hands-on Swift code examples.

You’re going to develop smart apps, like this flower recognizer:

How about building an Amazon review analyzer from scratch? I’ll show you how to do it!

And there’s a lot more. We’ll delve into advanced topics like synthetic vision and natural language processing.

I’ll show you how to train a machine learning model on your computer, and also how to use pre-trained models.

And no worries — I introduce each concept using simple terms, avoiding confusing jargon.

“Machine Learning with CoreML 2 and Swift” is the perfect book for you if you’re interested in machine learning, or if you’re looking to switch into an exciting new career track. I plan to release the video course version by the end of October, 2019

About the Author:

Károly Nyisztor is a veteran mobile developer and instructor. He has built several successful iOS apps and games—most of which were featured by Apple—and is the founder at LEAKKA, a software development, and tech consulting company. He's worked with companies such as Apple, Siemens, SAP, and Zen Studios. Currently, he spends most of his days as a professional software engineer and IT architect. In addition, he teaches object-oriented software design, iOS, Swift, Objective-C, and UML. As an instructor, his aim is to share his 20+ years of software development expertise and change the lives of students throughout the world. He's passionate about helping people reveal hidden talents, and guide them into the world of startups and programming. You can find his courses and books on all major platforms including Amazon, Lynda, LinkedIn Learning, Pluralsight, Udemy, and iTunes.

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