Altri libri che potrebbero interessarti

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  ARTIFICIAL INTELLIGENCE FOR...

  TARA MILLS

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  "Artificial Intelligence for Business: Transforming Industries and Driving Growth with AI Strategies" is your indispensable guide to harnessing the power of artificial intelligence to gain a competitive edge, optimize operations, and make informed decisions in the business world. 
  Inside this insightful guide, you'll explore:AI Fundamentals for Business: A clear and concise introduction to artificial intelligence, machine learning, and deep learning, tailored for business professionals.AI Use Cases: Real-world examples of how AI is revolutionizing industries, from automating customer service to enhancing supply chain management.Data-Driven Insights: How AI leverages data analytics to uncover valuable insights, enabling data-driven decision-making.AI Adoption Strategies: Practical guidance on implementing AI solutions within your organization, from strategy development to execution.Ethical Considerations: A discussion of the ethical and privacy implications of AI in business, along with responsible AI practices.AI-Ready Culture: Strategies for fostering a culture of innovation, collaboration, and AI literacy within your company.AI Tools and Technologies: An overview of the essential AI tools, platforms, and technologies that can benefit your business.Case Studies: In-depth case studies of businesses that have successfully integrated AI into their operations and achieved remarkable results. 
  Harness the potential of artificial intelligence to stay competitive, make informed decisions, and create lasting value in today's rapidly evolving business environment. Embrace AI with confidence and position your business for a future of innovation and success. 
   

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  Ultimate Generative AI Solutions...

  Arun Pandey

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  Unlock Generative AI's Potential: Transform Ideas into Reality on Google Cloud!
  Book Description
  Generative AI, powered by Google Cloud Platform (GCP), is reshaping industries with its advanced capabilities in automating and enhancing complex tasks. The Ultimate Generative AI Solutions on Google Cloud is your comprehensive guide to harnessing this powerful combination to innovate and excel in your job role. It explores foundational machine learning concepts and dives deep into Generative AI, providing the essential knowledge needed to conceptualize, develop, and deploy cutting-edge AI solutions.
  Within these pages, you'll explore Large Language Models (LLMs), Prompt engineering, Fine-tuning techniques, and the latest advancements in AI, with special emphasis on Parameter-Efficient Fine-Tuning (PEFT) and Reinforcement Learning with Human Feedback (RLHF). You'll also learn about the integration of LangChain and Retrieval-Augmented Generation (RAG) to enhance AI capabilities. By mastering these techniques, you can optimize model performance while conserving resources. The integration of GCP services simplifies the development process, enabling the creation of robust AI applications with ease.
  By the end of this book, you will not only understand the technical aspects of Generative AI but also gain practical skills that can transform your work to drive innovation and boost operational efficiency with Generative AI on GCP.
  Table of Contents
  1. Generative AI Essentials
  2. Google Cloud Basics
  3. Getting Started with Large Language Models
  4. Prompt Engineering and Contextual Learning
  5. Fine-Tuning a Large Language Model
  6. Parameter-Efficient Fine-Tuning (PEFT)
  7. Reinforcement Learning with Human Feedback
  8. Model Optimization
  9. LLMOps for Managing and Monitoring AI Projects
  10. Harnessing RAG and LangChain
  11. Case Studies and Real-World Implementations       
  
  Index

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  IRREPLACEABLE - The Art of...

  Pascal Bornet

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  Pascal Bornet, an award-winning AI expert, former McKinsey executive, and Top Voice in Technology with over 1 million LinkedIn followers, unveils the ultimate guide for working, living, and leading organizations in a rapidly changing, AI-driven world. 
   
   
   
  With over twenty years of pioneering research at the human-AI intersection, Bornet reveals the secrets to living in harmony with AI while cultivating uniquely human qualities. He introduces the Three Competencies of the Future that we need to develop urgently to thrive in our new world. 
   
   
   
  In IRREPLACEABLE, you will discover techniques to boost your career using AI—without losing your job to automation; secrets to unlocking your uniquely human abilities—ones AI can never replicate; counterintuitive methods to raise Future-ready children; strategies to avoid falling into the "AI Obesity" trap; and blueprints for leveraging AI to turn your company into an unstoppable force of innovation. 
   
   
   
  Whether you're an individual looking to future-proof your career, a parent aiming to raise future-proof children, or a business leader eager to steer your organization through technological disruption, IRREPLACEABLE offers a universal and comprehensive framework.

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  Shame and Resilience: Break Free...

  Harris Brookstone

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  "Shame and Resilience: Break Free from Emotional Chains" 
  Are you ready to transform your life by understanding and healing from shame? 
  Searching for a comprehensive guide that covers all the essential aspects of overcoming emotional burdens? 
  Your journey starts here! 
  This audiobook serves as your ultimate resource for gaining insight, applying healing techniques, and participating in practical exercises that foster resilience. With this guide, you're on the path to empowerment. 
  Updated to reflect the latest insights on overcoming shame and building resilience. 
  Key features of this transformative guide: 
  - In-depth exploration of shame and its impact on your life 
  - Detailed understanding of the healing process 
  - Effective strategies for personal growth and emotional recovery 
  Our audiobook stands out with its thorough coverage, which is vital for your journey toward emotional freedom. Topics are not just briefly addressed; they are examined with care and depth. 
  Please note that this audiobook is an independent resource and not affiliated with any official entities regarding emotional healing. 
  Crafted with a clear structure and accessible language, "Shame and Resilience" ensures seamless transitions between topics. Say goodbye to complicated jargon and embrace straightforward, accurate content. 
  So, why delay your transformation? Click the BUY NOW button, secure your audiobook, and embark on your path to overcoming shame and fostering resilience! 
  Shame and Resilience: Break Free from Emotional Chains

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  Machine Learning with Python -...

  Alexander Cane

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  Ways to combat retraining depend on the algorithm and consist of the correct values of the trainer's met parameters. In practice, model estimation is not performed on the same input data that was used to train the model. Divide 10-20% of all available data into a separate set and call it a set for evaluation. We will bring the other 10-20% into the set for ratification, and 60-80% of the remaining ones will be given to the trainer. The principle of data sharing depends on the data and the task. Random sampling is often a good method if inputs are independent of each other, and there is no strong imbalance between the number of positive and negative entries. 
  The intuitive analogy here is the same as with university studies: the teacher solves some problems with students in pairs and gives other’s similar tasks in the exam. What is important here (both in teaching students and models) is that these tasks are varied, and students cannot simply memorize the answers, and those who have mastered the material (similar tasks) will be able to repeat the thought process and answer correctly. 
  In machine learning, we split into data two sets: we will use the evaluation set to evaluate each model we train, using different approaches, algorithms, and model types to select the best one. That is, for each model, we will have two precision values - precision on the training dataset and precision on the evaluation dataset. It is normal for the former to be higher than the second, but not significantly. A big difference indicates retraining.

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  Agile Leadership Guide -...

  Daniel Green

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  In the fast-paced realm of contemporary business, traditional leadership approaches no longer suffice. Enter the "Agile Leadership Guide: Navigating Change with Vision, Collaboration, and Empowerment," a groundbreaking handbook designed to empower leaders with the tools and mindset needed to navigate the complexities of today's dynamic organizational landscape. 
  In this comprehensive guide, we delve into the very essence of Agile leadership, exploring the foundations, principles, and practices that distinguish it from conventional models. You'll discover how Agile leadership transforms the traditional hierarchical structure, shifting towards a collaborative and empowering framework where leaders serve their teams, not command them. 
  Embark on a journey through the key elements of Agile leadership, from building high-performing teams and cultivating an innovation-centric culture to crafting a compelling vision and adapting strategies to the ever-changing market conditions. Each chapter offers practical insights, real-world examples, and actionable strategies that leaders can implement to drive organizational agility. 
  Learn how to communicate openly and transparently, foster trust, and leverage communication tools effectively in both local and global contexts. Understand the crucial role of metrics and measurement in the Agile world, steering away from common pitfalls and embracing a culture of continuous improvement. 
  As the business world undergoes constant transformation, embrace the principles of Agile leadership outlined in this guide. Empower your teams, foster innovation, and thrive in the face of uncertainty. This book is your compass on the journey to becoming an Agile leader—a leader ready to inspire, adapt, and lead in the ever-evolving landscape of the 21st century. 
   

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