Altri libri che potrebbero interessarti

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  AI - The Ultimate Marketing Game...

  Dr. Deepak Renganathan

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  The launch of ChatGPT in November 2022 threw the entire business world into disarray. Not many businesses were prepared for a technological shift that was so sudden and drastic. Moreover, similar to the early days of the World Wide Web, the Artificial Intelligence revolution also comes with a fair share of hype. The overwhelming developments in the field of Artificial Intelligence, coupled with the mushrooming of AI firms, tools, and platforms, are enough to baffle even the most astute marketing managers. As if all these were not enough, radically divergent views from industry stalwarts fuel a raging debate:  
  “AI will continue to get way more capable… People are using it to create amazing things. If we could see what each of us can do 10 or 20 years in the future, it would astonish us today.” 
  Sam Altman, Cofounder and CEO of OpenAI 
  I can't see a path that guarantees safety. We're entering a period of great uncertainty where we're dealing with things we've never dealt with before. And normally, the first time you deal with something totally novel, you get it wrong. 
  Geoffrey Hinton, 'The Godfather of AI'  
  This book is an attempt to evaluate both sides of the view and present a middle path, that of a cautious optimism. Dive into this essential guide to navigate the promises and complexities of AI to ensure you are not just a bystander but a leader in the next technological era. 
  Dr. Deepak Renganathan, a Doctorate in AI and an Advisory Board Certified Chair™, is a seasoned marketing professional with over 22 years of experience across industries such as automobile, luxury real estate, fashion, and 5-star hospitality. Deepak has delivered positive turnarounds for Fortune 500 companies across the Americas, China, EMEA, and APAC regions. His expertise lies in creating impactful, data-driven marketing strategies by leveraging AI, big data, and automation for business growth.

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  Passion and Persistence:...

  Caden Sterlington

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  Passion and Persistence: Unlocking Your Potential 
  ⭐⭐ Simplified Guide & Explanations Included⭐⭐ 
  Are you aiming to advance in your career and solidify your understanding by successfully passing important exams? 
  Searching for an exhaustive guide that provides every necessary element to succeed? 
  Your search ends here! 
  This guide serves as your definitive companion for deepening your comprehension, applying your skills, and engaging in practical exercises. With this, you're equipped for success. 
  Key features of this enriched guide: 
  - Profound insights about achieving greatness 
  - Detailed explanations on how to harness passion and perseverance 
  - Effective strategies for exam preparation and success 
  Our guide distinguishes itself through comprehensive coverage, essential for your victory. Concepts are not merely skimmed; they are explored with precision. 
  Please note that this guide is not affiliated with any official entity and is purely an independent resource for your benefit. 
  Designed with a clear structure and easy-to-understand language, our guide ensures smooth transitions between topics. Say goodbye to dense jargon and welcome clear, precise, and technically accurate content. 
  So, why wait? Click the BUY NOW button, secure your guide, and begin your journey to success!

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  Risk-Managed GMP

  Jordi Botet

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  This book analyzes Good Manufacturing Practice (GMP) in a systematic way, providing practical orientation on how to prepare products meeting their established specifications. The author uses his experience to review GMP following a risk-based approach.  The different processes and associated elements that compose the supply chain are identified and examined by means of numerous tables and figures that facilitate comprehension and application.

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  Mastering Scrum Master...

  Jimmy Mathew

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  Mastering Scrum Master Interviews: 200 Situational Questions and Answers 
  Practical Insights and Expert Answers for Tackling Scrum Master Role Interviews, 
  This book will make you a winner at Scrum Master role interviews by providing you with 200 carefully selected situational questions along with detailed answers. Each question will face the real-world challenges which come up in front of a Scrum Master. Questions are designed in a manner that they will encapsulate the key challenges including team dynamics, stakeholder engagement, Agile transformation, and organizational change. With comprehensive explanations, this course empowers you to understand the logic behind each answer, and therefore, you can develop your own personalized responses for the interviews. Whether it is an aspiring Scrum Master or someone looking forward to refining their interview skills, this course equips one with the insights to succeed. 
  There is no one right answer to most of these questions. The answers are given from the personal experience, but the interviewer may be coming from a different point of view based on their own problems and history. The purpose is not to memorize word for word but to grasp the logic and reasoning that the answers are based upon so that you can adapt and craft your own responses in the interview. 
  We have given you many answers so that you can choose through them and thus perhaps only recall a few from your interview but come together to give a brilliant answer. So, now, let's discuss the questions.

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  Python Machine Learning for...

  Brian Murray

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  "Python Machine Learning Essentials: Build Your First AI Application" is a comprehensive guide for beginners who want to learn machine learning with Python. In this book, you will learn the foundations of machine learning, including different types of algorithms and the importance of data preprocessing. You will also learn how to build your first AI application, from collecting and preprocessing data to building and training a model, and then deploying and testing the application. 
  As you progress through the book, you will explore advanced machine learning techniques such as deep learning and convolutional neural networks for image recognition. You will also learn how to apply machine learning to real-world problems, such as building a spam filter, predicting stock prices, and performing sentiment analysis. 
  Throughout the book, you will learn best practices for machine learning in Python, including tips for efficient data preprocessing, strategies for selecting the right machine learning algorithm, techniques for optimizing model performance, and debugging common errors. 
  By the end of the book, you will have the skills and knowledge needed to build your own machine learning applications with Python. Whether you're new to programming or have experience in other languages, "Python Machine Learning Essentials: Build Your First AI Application" will help you unlock the power of artificial intelligence and take your skills to the next level. 
   

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  Model Evaluation - Evaluating...

  Brian Murray

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  In the world of data warehousing, the accuracy and performance of models are crucial for effective data analysis and decision-making. "Model Evaluation" is a comprehensive book that provides a detailed overview of the evaluation process for data warehouse models. From understanding the basics of data warehousing to evaluating the performance of different types of models, this book covers the key concepts, techniques, and best practices for evaluating the accuracy and performance of data warehouse models. 
  The book begins with an introduction to data warehousing and its importance in modern organizations. It then delves into the various types of data warehouse models, including relational, dimensional, and multi-dimensional models, and their unique features and use cases. The book explores the challenges and considerations in evaluating the performance and accuracy of these different types of models, including data quality, data completeness, data consistency, and data timeliness. 
  "Model Evaluation" provides a comprehensive overview of the different evaluation techniques and methodologies used in data warehousing, such as benchmarking, performance metrics, data profiling, and data validation. It covers the best practices for evaluating the accuracy of data warehouse models, including data validation and verification techniques, data profiling and cleansing methods, and statistical analysis. 
  The book also discusses the importance of metadata in the evaluation process and how it can provide context and understanding of the data in the data warehouse. It covers topics such as data definitions, data models, data sources, and data transformations, and how they can impact the accuracy and performance of the data warehouse models.

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