Who is the target audience for this book?

The target audience for this book includes data scientists, AI practitioners, and business professionals who are involved in or are interested in machine learning applications. It caters to readers with some foundational knowledge of data analytics and programming, making it accessible for those looking to advance their understanding of cloud-based AI strategies. By focusing on practical scenarios, the book is especially beneficial for individuals who want to implement machine learning in their organizations.

What are some practical applications covered in the book?

The book covers various practical applications of machine learning such as predictive analytics, customer segmentation, and fraud detection. Each application is explained in the context of cloud services, which allows readers to understand how to select the right tools and platforms for their projects. For instance, professionals in marketing can use the insights from the book to enhance their campaigns through data-driven decision-making, while others in finance can apply techniques to identify at-risk transactions.

Are there any hands-on projects or exercises in the book?

Yes, the book includes a series of hands-on projects and exercises that allow readers to apply the concepts they've learned in real-world scenarios. These activities facilitate a deeper understanding of machine learning processes, empowering readers to experiment with tools like AWS or Google Cloud. For example, by working through the exercises, a reader may develop a working prototype of a predictive model that can be immediately utilized in their organization.

Does the book cover the ethical implications of AI and machine learning?

Yes, the book addresses ethical implications related to AI and machine learning, including topics such as bias in algorithms and data privacy concerns. This focus on ethics prepares readers to think critically about the consequences of deploying AI solutions in their work environments. Being aware of these matters is increasingly important as organizations strive to create trustworthy and fair AI systems.

What kind of prerequisites should readers have before tackling this book?

Readers should ideally have a basic understanding of data analytics concepts and familiarity with programming languages such as Python. Additionally, some knowledge of statistics and data management will enhance the learning experience. This foundational knowledge will enable readers to grasp the technical details and engage fully with the practical applications presented in the book.

How does the book differ from other machine learning literature?

Unlike many traditional texts that focus on theory, Pragmatic AI emphasizes a hands-on, practical approach to learning machine learning in the cloud. It merges theory with real-world applications, allowing readers to apply what they learn immediately. This approach helps professionals bridge the gap between theoretical knowledge and practical implementation, making it a valuable resource for anyone aiming to use AI effectively in their business.

What formats is the book available in?

Pragmatic AI: An Introduction to Cloud-Based Machine Learning is typically available in various formats, including hardcover, paperback, and digital (eBook). These options cater to different reading preferences. For example, digital formats are ideal for those who prefer reading on-the-go or need to quickly search content, while print versions are great for those who enjoy annotating and taking notes.

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Pragmatic AI: An Introduction to Cloud-Based Machine Learning (Addison Wesley Data & Analytics)

Noah Gift is a highly experienced Python programmer with over 20 years of experience, currently working as a consultant for start-ups on machine learning and cloud architecture.

Artikelnr.: 19170284

Pragmatic AI: An Introduction to Cloud-Based Machine Learning (Addison Wesley Data & Analytics)

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Noah Gift is a highly experienced Python programmer with over 20 years of experience, currently working as a consultant for start-ups on machine learning and cloud architecture.

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Comprehensive Coverage

This book offers an extensive overview of cloud-based machine learning, addressing theories and practical applications, making it ideal for both beginners and experienced professionals in the analytics field.

Real-world Applications

The content focuses on real-world use cases in machine learning, enabling readers to understand complex concepts through relatable examples, enhancing learning and implementation in business settings.

Expert Insights

Authored by industry experts, this text provides valuable insights and best practices from the forefront of cloud-based AI technology, ensuring readers gain knowledge that is both relevant and actionable.

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Written by Noah Gift, a lecturer and consultant at UC Davis Graduate School of Management with approximately 20 years of experience in Python programming
Noah Gift has worked in various roles including CTO, general manager, consulting CTO, and cloud architect for different companies
Currently, he provides consulting services to start-ups and other companies on machine learning and cloud architecture through Noah Gift Consulting
Noah has published nearly 100 technical publications and holds certifications including being a certified AWS Solutions Architect
He holds an MBA from University of California, Davis; an MS in computer information systems from California State University, Los Angeles; and a BS in nutritional science from Cal Poly, San Luis Obispo
For more information about Noah, you can follow him on Github (https://github.com/noahgift/), visit http://noahgift.com, or connect with him on LinkedIn (https://www.linkedin.com/in/noahgift/)

Publisher	Addison-Wesley Professional
Publication date	August 22, 2018
Edition	1st
Language	English
Print length	256 pages
ISBN-10	0134863860
ISBN-13	978-0134863863
Item Weight	7.4 ounces (209.79 grams)
Dimensions	6.93 x 0.62 x 9.06 inches (17.6 x 1.6 x 23 cm)

Voor wie is dit geschikt?

Beginner Data Scientists
Ideal for newcomers to machine learning seeking a foundational understanding of cloud-based AI techniques and applications.
Technical Managers
Helps managers grasp machine learning concepts, enabling informed decisions in collaboration with data science teams.
IT Professionals
Great for IT staff looking to implement AI solutions in cloud environments and enhance their technical skill set.

Experienced Practitioners
Advanced data scientists may find the content too basic and lacking in depth for their expertise.

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Pragmatic AI: An Introduction to Cloud-Based Machine Learning (Addison Wesley Data & Analytics)

About This Item

Introducing "Pragmatic AI: An Introduction to Cloud-Based Machine Learning Addison Wesley Data & Analytics 1st Edition" Discover the world of machine learning and cloud-based technologies with "Pragmatic AI: An Introduction to Cloud-Based Machine Learning Addison Wesley Data & Analytics 1st Edition." This comprehensive guide, written by renowned author Noah Gift, is the perfect resource for anyone interested in exploring the vast potential of artificial intelligence and data-driven decision making. Noah Gift brings his extensive experience and expertise in Python programming, cloud architecture, and machine learning to this captivating book. As a lecturer and consultant at UC Davis Graduate School of Management, Noah combines his passion for teaching with real-world industry knowledge, making "Pragmatic AI" a valuable asset for both beginners and professionals in the field. This first edition provides an in-depth understanding of cloud-based machine learning techniques, agile methodologies, and the fundamentals of data-driven decision making. Whether you are a developer, data scientist, or business professional, this book offers practical insights and invaluable knowledge to help you succeed in today's data-centric world. As you delve into the pages of "Pragmatic AI," you will explore a wide range of topics, including cloud computing for data analysis, big data analytics, machine learning algorithms, data visualization techniques, and predictive analytics.

Furthermore, you will gain valuable insights into customer segmentation analysis, web personalization techniques, retail data analysis, and e-commerce analytics - all essential tools for optimizing your online business strategies. Noah Gift's expertise extends beyond the written word. As a certified AWS Solutions Architect and a consultant for start-ups and established companies alike, his real-world experience shines through in this practical guide. Get ready to unlock the power of machine learning, discover the latest trends in mobile commerce, leverage social media analytics, and optimize your online advertising strategies. If you are ready to embark on a journey towards mastery in cloud-based machine learning and data-driven decision making, "Pragmatic AI: An Introduction to Cloud-Based Machine Learning Addison Wesley Data & Analytics 1st Edition" is the perfect companion.

Order your copy today and join countless professionals who have already benefited from Noah Gift's invaluable insights.

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vraag: Hoe kan ik Pragmatic AI: An Introduction to Cloud-Based Machine online winkelen bij Ubuy?

antwoord: Het is gemakkelijk om Pragmatic AI: An Introduction to Cloud-Based Machine online te winkelen bij Ubuy.. U hoeft alleen maar naar het product te zoeken, uw verzendmethode te kiezen tijdens het afrekenen en het op uw locatie te laten bezorgen.
vraag: Is Pragmatic AI: An Introduction to Cloud-Based Machine beschikbaar om online te winkelen in Netherlands?

antwoord: Ja, bij Ubuy Netherlands kun je dit product tegen een redelijke prijs kopen.. De Pragmatic AI: An Introduction to Cloud-Based Machine is lokaal niet beschikbaar, maar u kunt ons vertrouwen met onze expresverzendingsdiensten.
vraag: Hoe lang duurt het om het product te krijgen na het plaatsen van de bestelling?

antwoord: De levertijd van je bestelde product hangt af van wat je hebt besteld en de verzendmethode die je hebt gekozen.. De geschatte levertijd wordt vermeld tijdens het afrekenen, wees dus zorgeloos tijdens het winkelen.

Intelligence & Semantics Editorial Review

Pragmatic AI: An Introduction to Cloud-Based Machine Learning (Addison Wesley Data & Analytics) offers a practical overview suited for those interested in AI and cloud technologies. Readers find the book particularly helpful as it combines essential tools from AWS and GCP with clear explanations and practical Python code. It serves as a solid starting point for individuals with some coding experience who want to dive into AI workloads using cloud technology. The book is structured to save you time by concentrating on actionable insights, making it a valuable resource for newcomers to the field. The content may seem scattered at times, but many appreciate the lack of fluff and unnecessary transitions, allowing them to focus on crucial information.

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Practical guide for beginners in cloud AI
Clear explanations and easy to follow
Combines AWS and GCP tools effectively
Includes useful Python code examples
Great resource for building a toolkit

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Some information available freely online

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Python programmer with over 20 years of experience
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Author of close to 100 technical publications including two books
Certified AWS Solutions Architect
Educational background includes an MBA and MS in computer information systems

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