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The complete developer's introduction to machine learning and artificial intelligence

• Demystifies basic machine learning techniques, algorithms, operations, and tools

• Walks through building two complete solutions with Microsoft's ML.NET
• Guides you from collecting and fine-tuning source data to building and testing solutions
• Unique programmer-focused insights from best-selling software development author Dino Esposito

Today, machine learning offers software professionals unparalleled opportunity for career growth. In Introducing Machine Learning, best-selling software development author, trainer, and consultant Dino Esposito offers a complete introduction to the field for programmers, architects, lead developers, and managers alike.
Esposito begins by illuminating what's known about how humans and machines learn, introducing the most important classes of machine learning algorithms, and explaining what each of them can do. Esposito demystifies key concepts ranging from neural networks to supervised and unsupervised learning. Next, he explains each step needed to build a successful machine learning solution, from collecting and fine-tuning source data to building and testing your solution.
Then, building on these essentials, he guides you through constructing two complete solutions with ML.NET, Microsoft's powerful open source and cross-platform machine learning framework. Step by step, you'll create systems for performing sentiment analysis on social feeds, and analyzing traffic to predict accidents. By the time you're finished, you'll be ready to participate in data science projects and build working solutions of your own.

Introducing Machine Learning, 1/e