Google Cloud Storage And Data Essential Training
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Google Cloud Storage And Data Essential Training
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Author :
language : en
Publisher:
Release Date : 2015
Google Cloud Storage And Data Essential Training written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Learn how to use Google Cloud Storage and related services to store, manage, and analyze your data.
Google Cloud Platform For Enterprise Essential Training
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Author :
language : en
Publisher:
Release Date : 2019
Google Cloud Platform For Enterprise Essential Training written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Learn how to leverage Google Cloud Platform, including serverless, data storage, and data pipeline services, to meet the needs of your enterprise organization.
Google Cloud Platform Essential Training
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Author :
language : en
Publisher:
Release Date : 2019
Google Cloud Platform Essential Training written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Explore the Google cloud. Learn how to leverage Google Cloud Platform services?including serverless computing, data storage, and machine learning?for your organization.
Data Engineering Essentials A Comprehensive Guide To Learn Data Engineering Essentials
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Author : Maxwell Learning
language : en
Publisher: Maxwell Learning
Release Date : 2025-11-12
Data Engineering Essentials A Comprehensive Guide To Learn Data Engineering Essentials written by Maxwell Learning and has been published by Maxwell Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-12 with Computers categories.
Data engineering is a critical field in today’s data-driven world. This book will provide a comprehensive guide to the core aspects of data engineering, from foundational concepts to advanced techniques. Each chapter will explore specific areas, such as building efficient pipelines, managing big data, and ensuring data quality and governance. By the end, readers will have the knowledge and tools to design, implement, and manage scalable data engineering solutions.
Ace The Google Machine Learning Engineer Certification
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Author : Etienne Noumen
language : en
Publisher: Etienne Noumen
Release Date :
Ace The Google Machine Learning Engineer Certification written by Etienne Noumen and has been published by Etienne Noumen this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Master Google Cloud’s most advanced AI certification with this definitive 2025 study guide. From TensorFlow and data pipelines to ML ops, model deployment, and ethical AI—this book delivers the knowledge, tools, and confidence to help you ace the Professional Machine Learning Engineer Exam. Backed by real-world examples, mock exams, and hands-on insights. 🎯 The ins and outs of Google's Machine Learning Engineer certification are explored in detail. A comprehensive guide is provided, covering the latest updates and offering tips for success. Why This Certification Matters - The growing demand for skilled Machine Learning Engineers - Career advancement and increased earning potential - The Google brand and its weight in the tech world Decoding the Certification: Requirements & Exam Structure - The four main exam domains: Machine Learning Concepts, Data Analysis, Model Building and Evaluation, and Machine Learning Systems Design - Exam format and structure: Multiple-choice, coding, and open-ended questions - The Google Cloud Platform (GCP) proficiency requiredMastering the Material: Essential Skills & Resources - Key concepts: Supervised and unsupervised learning, deep learning, natural language processing, computer vision - Recommended resources: Coursera, Udacity, Google Cloud Skills Boost, and relevant online communities - Practical projects: Building your own portfolio to showcase your skills Strategies for Success: Effective Preparation & Exam Day Tips - Practice, practice, practice: Using mock exams, coding exercises, and real-world datasets - Time management: Balancing learning, practice, and exam-day strategy - Stress management: Techniques to stay calm and focused on exam day Full Practice Exam - 2025 included Beyond the Certification: Career Paths & Continued Learning - The book explores potential roles: Machine Learning Engineer, Data Scientist, AI Researcher - The importance of continuous learning and staying updated with advancements in the field - Building your professional network and actively contributing to the ML community 📘 Download the E-Book + Audiobook combo at Djamgatech at https://djamgatech.com/product/ace-the-google-machine-learning-engineer-certification-2025-update-e-book-audiobook/ 📘 You can also Download the E-Book + Audiobook combo at Google Play Books at https://play.google.com/store/audiobooks/details?id=AQAAAEDKqGjosM
Data Analytics And Machine Learning
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Author : Pushpa Singh
language : en
Publisher: Springer Nature
Release Date : 2024-03-19
Data Analytics And Machine Learning written by Pushpa Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-19 with Computers categories.
This book presents an in-depth analysis of successful data-driven initiatives, highlighting how organizations have leveraged data to drive decision-making processes, optimize operations, and achieve remarkable outcomes. Through case studies, readers gain valuable insights and learn practical strategies for implementing data analytics, big data, and machine learning solutions in their own organizations. The book discusses the transformative power of data analytics and big data in various industries and sectors and how machine learning applications have revolutionized exploration by enabling advanced data analysis techniques for mapping, geospatial analysis, and environmental monitoring, enhancing our understanding of the world and its dynamic processes. This book explores how big data explosion, the power of analytics and machine learning revolution can bring new prospects and opportunities in the dynamic and data-rich landscape. It highlights the future research directions in data analytics, big data, and machine learning that explores the emerging trends, challenges, and opportunities in these fields by covering interdisciplinary approaches such as handling and analyzing real-time and streaming data.
Data Science And Machine Learning
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Author : Diana Benavides-Prado
language : en
Publisher: Springer Nature
Release Date : 2023-12-04
Data Science And Machine Learning written by Diana Benavides-Prado and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-04 with Computers categories.
This book constitutes the proceedings of the 21st Australasian Conference on Data Science and Machine Learning, AusDM 2023, held in Auckland, New Zealand, during December 11–13, 2023. The 20 full papers presented in this book were carefully reviewed and selected from 50 submissions. The papers are organized in the following topical sections: research track and application track. They deal with topics around data science and machine learning in everyday life.
Revolutionizing Retail Analytics Harnessing Ai And Machine Learning For Business Growth
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Author : Shashank Shekhar Katyayan Dr. Jhankar Moolchandani
language : en
Publisher: DeepMisti Publication
Release Date : 2025-01-15
Revolutionizing Retail Analytics Harnessing Ai And Machine Learning For Business Growth written by Shashank Shekhar Katyayan Dr. Jhankar Moolchandani and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-15 with Computers categories.
In the fast-paced and ever-evolving world of retail, staying ahead of the competition requires more than intuition and experience—it demands the power of data-driven insights. As consumers grow more tech-savvy and their expectations rise, retail businesses face the challenge of delivering personalized, efficient, and impactful customer experiences. This book, Revolutionizing Retail Analytics: Harnessing AI and Machine Learning for Business Growth, is a guide to navigating this transformative era using the tools of tomorrow. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into retail analytics has unlocked opportunities previously unimaginable. From dynamic pricing and demand forecasting to personalized marketing and supply chain optimization, these technologies are reshaping how businesses operate. Yet, for many, the journey to adopting AI-driven strategies can seem complex and daunting. This book aims to demystify the world of AI and ML for retail professionals, business leaders, and analytics enthusiasts. Whether you are an experienced data scientist looking to explore retail applications or a retailer seeking to understand how AI can solve real-world challenges, this book bridges the gap between technology and business outcomes. Throughout the chapters, you’ll find: • A foundation in the principles of AI and ML tailored to retail contexts. • Case studies showcasing successful implementations across diverse retail domains. • Practical strategies for integrating AI tools into existing systems. • Insights on ethical considerations and best practices in data handling and AI deployment. Our journey begins by understanding the seismic shifts reshaping the retail landscape and progresses to exploring actionable strategies for leveraging AI and ML effectively. By the end, you’ll not only grasp the transformative potential of these technologies but also be equipped with the knowledge to implement them within your own organization. The retail industry stands at the crossroads of innovation and tradition. The decisions we make today will shape the shopping experiences of tomorrow. With this book as your guide, we invite you to be part of the revolution, unlocking growth, efficiency, and a deeper connection with your customers through the power of AI and ML. Welcome to the future of retail. Let’s transform it together. Authors
Innovations In Optimization And Machine Learning
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Author : Mzili, Toufik
language : en
Publisher: IGI Global
Release Date : 2025-01-22
Innovations In Optimization And Machine Learning written by Mzili, Toufik and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Computers categories.
In today's rapidly evolving world, businesses are confronted with the complex task of streamlining their operations, utilizing machine learning to their advantage, and maneuvering through the intricacies of artificial intelligence. It has become increasingly essential to allocate resources effectively, make informed decisions based on data, and capitalize on AI technologies. However, many organizations require assistance in understanding these disciplines' theoretical principles, practical implementations, and ethical implications. Innovations in Optimization and Machine Learning serve as a comprehensive solution, offering a deep dive into optimization, machine learning, and AI. By unraveling the complexities and providing practical insights, it empowers researchers, practitioners, students, and enthusiasts to understand and contribute to advancing these fields. The book covers many topics, from evolutionary algorithms to ethical AI development, ensuring a thorough understanding of key concepts and their real-world implications.
Translational Gastroenterology
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Author : Adam E.M. Eltorai
language : en
Publisher: Academic Press
Release Date : 2025-04-18
Translational Gastroenterology written by Adam E.M. Eltorai and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-18 with Science categories.
Translational Gastroenterology covers the principles of evidence-based medicine and applies these principles to the design of translational investigations. Readers will learn important concepts, including case-control study, prospective cohort study, randomized trials, and reliability study. Medical researchers will benefit from greater confidence in their ability to initiate and execute their own investigations, avoid common pitfalls in gastroenterology, and know what is needed in collaboration. Further, this title is an indispensable tool in grant writing and funding efforts. The practical, straightforward approach helps the aspiring investigator navigate challenging considerations in study design and implementation.The book provides valuable discussions of the critical appraisal of published studies in gastroenterology, allowing the reader to learn how to evaluate the quality of such studies with respect to measuring outcomes and to make effective use of all types of evidence in patient care. In short, this practical guidebook will be of interest to every medical researcher or gastroenterologist who has ever had a good clinical idea but not the knowledge of how to test it. - Provides a clear process for understanding, designing, executing, and analyzing translational and clinical research - Presents practical and step-by-step guidance to help readers take ideas from the lab to the bedside - Written by a team of experts who cover the breadth of translational research in Gastroenterology