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Addison Wesley Data & Analytics Series: Pragmatic AI

An Introduction to Cloud-Based Machine Learning

Autor*innen

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Master powerful off-the-shelf business solutions for AI and machine learning with this practical guide. It helps you tackle real-world challenges using contemporary tools in machine learning, artificial intelligence, and cloud computing, even if you lack a strong math or data science background. The author demystifies essential concepts and highlights powerful cloud offerings from Amazon, Google, and Microsoft, demonstrating effective techniques using the Python data science ecosystem. You'll learn to streamline every step, from deployment to production, creating scalable solutions. As you explore machine learning solutions, you'll develop a deeper understanding of their capabilities and how to maximize their value. The book guides you through building cloud-based AI/ML applications to address practical issues in various fields such as sports marketing, project management, and real estate. Suitable for business professionals, decision-makers, students, and programmers, it offers expert guidance and diverse case studies to help you solve data science problems in any context. You’ll get all the necessary tools, a quick Python review, and insights into the AI and ML toolchain. Additionally, it covers cloud AI solutions with Google Cloud, Amazon Web Services, and Microsoft Azure, and walks you through creating six real-world AI applications from start to finish. Register for convenient access to updates and corrections.

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Addison Wesley Data & Analytics Series: Pragmatic AI, Noah Gift

Sprache
Erscheinungsdatum
2018
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Titel
Addison Wesley Data & Analytics Series: Pragmatic AI
Untertitel
An Introduction to Cloud-Based Machine Learning
Sprache
Englisch
Autor*innen
Noah Gift
Erscheinungsdatum
2018
Einband
Paperback
Seitenzahl
272
ISBN10
0134863860
ISBN13
9780134863863
Reihe
Bewertung
3,7 von 5 Sternen
Beschreibung
Master powerful off-the-shelf business solutions for AI and machine learning with this practical guide. It helps you tackle real-world challenges using contemporary tools in machine learning, artificial intelligence, and cloud computing, even if you lack a strong math or data science background. The author demystifies essential concepts and highlights powerful cloud offerings from Amazon, Google, and Microsoft, demonstrating effective techniques using the Python data science ecosystem. You'll learn to streamline every step, from deployment to production, creating scalable solutions. As you explore machine learning solutions, you'll develop a deeper understanding of their capabilities and how to maximize their value. The book guides you through building cloud-based AI/ML applications to address practical issues in various fields such as sports marketing, project management, and real estate. Suitable for business professionals, decision-makers, students, and programmers, it offers expert guidance and diverse case studies to help you solve data science problems in any context. You’ll get all the necessary tools, a quick Python review, and insights into the AI and ML toolchain. Additionally, it covers cloud AI solutions with Google Cloud, Amazon Web Services, and Microsoft Azure, and walks you through creating six real-world AI applications from start to finish. Register for convenient access to updates and corrections.