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Pragmatic AI: An Introduction to Cloud-Based Machine Learning (Addison Wesley Data & Analytics)
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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.
Pragmatic AI: An Introduction to Cloud-Based Machine Learning (Addison Wesley Data & Analytics)
Item #: 19170284

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

82% of respondents would recommend this to a friend

Item #: 19170284

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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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What Stands Out

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.

Product Details

Explore the best-selling Pragmatic AI: An Introduction to Cloud-Based Machine Learning book by Noah Gift. Get insights into Python programming, machine learning, and cloud architecture. Visit Ubuy Maldives for more information.
  • 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)

Who Should Buy?

Suitable For
  • 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.

Not Suitable For
  • Experienced Practitioners

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

Product Description

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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Customer Questions & Answers

  • Question: What is Pragmatic AI: An Introduction to Cloud-Based Machine Learning about?

    Answer: Pragmatic AI: An Introduction to Cloud-Based Machine Learning provides a comprehensive overview of machine learning principles and their implementation in cloud environments. The book emphasizes practical applications, teaching readers how to leverage cloud-based tools for developing predictive models and handling data. This is particularly useful for professionals who want to integrate AI solutions into business processes, enabling them to enhance decision-making and operational efficiency.
  • Question: Who is the target audience for this book?

    Answer: 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.
  • Question: What are some practical applications covered in the book?

    Answer: 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.
  • Question: Are there any hands-on projects or exercises in the book?

    Answer: 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.
  • Question: Does the book cover the ethical implications of AI and machine learning?

    Answer: 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.
  • Question: What kind of prerequisites should readers have before tackling this book?

    Answer: 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.
  • Question: How does the book differ from other machine learning literature?

    Answer: 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.
  • Question: What formats is the book available in?

    Answer: 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.
  • Question: Where can I buy Pragmatic AI: An Introduction to Cloud-Based Machine Learning in Maldives?

    Answer: You can purchase Pragmatic AI: An Introduction to Cloud-Based Machine Learning on Ubuy, which offers a user-friendly platform and a diverse selection of books. Ubuy is known for its efficient service and extensive product range, making it a reliable choice for customers in Maldives looking to explore the latest titles in data science and AI.

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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Pros

  • 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

Cons

  • Some information available freely online

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Features & Benefits

  • Python programmer with over 20 years of experience
  • Consultant for start-ups, specializing in machine learning and cloud architecture
  • 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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