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Nº de artículo:
19170284
Pragmatic AI: An Introduction to Cloud-Based Machine Learning (Addison Wesley Data & Analytics)
Nº de artículo:
19170284
UYU 1704
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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.
Detalles de producto
- 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?
-
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.
DESCRIPCIÓN DEL PRODUCTO
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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Intelligence & Semantics Editorial Review
**Editorial Review of "Pragmatic AI: An Introduction to Cloud-Based Machine Learning"** "Pragmatic AI: An Introduction to Cloud-Based Machine Learning" has garnered a mixed reception, yet many readers find it to be a worthwhile investment for those looking to delve into cloud-based AI and machine learning. The book serves as a guide aimed particularly at practitioners who are seeking a straightforward introduction to the integration of AI with cloud services like Amazon Web Services (AWS) and Google Cloud Platform (GCP). Customers appreciate the book for its clarity and ease of understanding. Reviewers note that it significantly condenses vast amounts of information that can often be found online, effectively saving readers time and effort. This practical orientation is especially beneficial for readers who already possess some coding experience and are looking to apply AI in real-world situations. However, not all feedback has been positive. Some users feel the information is loosely organized, lacking smooth transitions between different topics. Additionally, there are critiques that much of the content can be accessed for free on the internet. Despite this, many find the book to be packed with valuable insights and practical examples, especially concerning Python coding and the utility of Jupyter notebooks. While it may not be a comprehensive treatise on AI or a substitution for advanced academic study, "Pragmatic AI" effectively delivers its promise to guide readers through the essentials of implementing AI workloads using cloud technology. Overall, it seems to successfully meet the needs of its target audience, while still leaving some readers wanting a more cohesive structure and depth. **
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ventajas
- Clear and easy-to-understand explanations
- Saves time by Consolidating online information
- Practical for beginners with some coding experience
- Useful insights into AWS and GCP
- Good examples of Python code and application in Jupyter notebooks
Contras
- Information may be perceived as scattered or unorganized
Product Price History
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características y beneficios
- 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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