Other books that might interest you

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  Pandemic Whispers: Unseen...

  Orson Kinsley

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  Pandemic Whispers: Unseen Threats and Human Resilience 
  ⭐⭐ Simplified Guide & Explanations Included ⭐⭐ 
  Are you eager to advance in your career while enhancing your understanding of pandemics and successfully navigating today's challenges? 
  Searching for an all-encompassing guide that covers everything needed to grasp the complexities of current pandemic threats? 
  Your quest ends here! 
  This audiobook serves as your ultimate companion for deepening your insight, applying essential knowledge, and engaging in practical exercises. With this resource, you'll be prepared for success. 
  Updated to reflect the latest insights and developments in pandemic understanding. 
  Key features of this enriching guide include: 
  - In-depth insights that transform understanding of pandemics 
  - Comprehensive exploration of unseen threats and human resilience 
  - Effective strategies for preparation and problem-solving 
  Our guide stands out with its thorough coverage, which is essential for your journey toward mastery. Concepts are not just brushed upon; they are examined with meticulous attention. 
  Crafted with a clear structure and straightforward language, our guide on pandemics ensures seamless transitions between topics. Say goodbye to complex jargon and embrace clear, concise, and intrinsically valuable content. 
  So, why hesitate? Click the BUY NOW button, secure your guide, and embark on your journey toward understanding pandemics and the resilience of humanity! 
  Prepare yourself and embrace the journey through "Pandemic Whispers: Unseen Threats and Human Resilience."

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  Ethical Machines - Your Concise...

  Reid Blackman

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  The promise of artificial intelligence is automated decision-making at scale, but that means AI also automates risk at scale. Are you prepared for that risk? 
   
   
   
  Already, many companies have suffered real damage when their algorithms led to discriminatory, privacy-invading, and even deadly outcomes. Self-driving cars have hit pedestrians; HR algorithms have precluded women from job searches; mortgage systems have denied loans to qualified minorities. And often the companies who deployed the AI couldn't explain why the black box made the decision it did. 
   
   
   
  In Ethical Machines, Reid Blackman gives you all you need to understand AI ethics as a risk management challenge. He'll help you build, procure, and deploy AI in a way that's not only ethical but also safe in terms of your organization's reputation, regulatory compliance, and legal standing—and do it at scale. And don't worry—the book's purpose is to get work done, not to ponder deep and existential questions about ethics and technology. Blackman's clear and accessible writing helps make a complex and often misunderstood concept like ethics easy to grasp. Most importantly, Blackman makes ethics actionable by tackling the big three ethical risks with AI—bias, explainability, and privacy—and tells you what to do (and what not to do) to mitigate them.

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  Hands-On Large Language Models -...

  Maarten Grootendorst, Jay Alammar

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  AI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend is enabling new features, products, and entire industries. With this book, listeners will learn practical tools and concepts they need to use these capabilities today. 
   
   
   
  You'll understand how to use pretrained large language models for use cases like copywriting and summarization; create semantic search systems that go beyond keyword matching; and use existing libraries and pretrained models for text classification, search, and clusterings. 
   
   
   
  This book also helps you understand the architecture of Transformer language models that excel at text generation and representation; build advanced LLM pipelines to cluster text documents and explore the topics they cover; build semantic search engines that go beyond keyword search, using methods like dense retrieval and rerankers; explore how generative models can be used, from prompt engineering all the way to retrieval-augmented generation; and gain a deeper understanding of how to train LLMs and optimize them for specific applications using generative model fine-tuning, contrastive fine-tuning, and in-context learning.

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  Crypto & Banking

  BLOCKCHAINS BLUEPRINT

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  Crypto & Banking by Blockchains Blueprint 
  This audiobook collectively examines the evolving integration of cryptocurrencies and blockchain technology within the traditional banking sector globally. It highlights the varying adoption rates across regions, the driving forces behind this integration such as technological advancements and customer demand, and the challenges posed by regulatory uncertainty and security concerns. Crypto & Banking further explore specific applications of blockchain in banking, including cross-border payments, identity verification, and trade finance, while also analyzing the emergence of decentralized finance (DeFi) and crypto-backed loans as new paradigms in lending. Ultimately, the sources suggest a future where traditional finance and the crypto ecosystem increasingly converge, reshaping the global financial landscape.

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  Ultimate Parallel and...

  Nabanita Dash

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  Unleash Julia’s power: Code Your Data Stories, Shape Machine Intelligence!
  Book Description
  This book takes you through a step-by-step learning journey, starting with the essentials of Julia's syntax, variables, and functions. You'll unlock the power of efficient data handling by leveraging Julia arrays and DataFrames.jl for insightful analysis. Develop expertise in both basic and advanced statistical models, providing a robust toolkit for deriving meaningful data-driven insights. The journey continues with machine learning proficiency, where you'll implement algorithms confidently using MLJ.jl and MLBase.jl, paving the way for advanced data-driven solutions. Explore the realm of Bayesian inference skills through practical applications using Turing.jl, enhancing your ability to extract valuable insights. The book also introduces crucial Julia packages such as Plots.jl for visualizing data and results.
  The handbook culminates in optimizing workflows with Julia's parallel and distributed computing capabilities, ensuring efficient and scalable data processing using Distributions.jl, Distributed.jl and SharedArrays.jl. This comprehensive guide equips you with the knowledge and practical insights needed to excel in the dynamic field of data science and machine learning.
  Table of Contents
  1. Julia In Data Science Arena
  2. Getting Started with Julia
  3. Features Assisting Scaling ML Projects
  4. Data Structures in Julia
  5. Working With Datasets In Julia
  6. Basics of Statistics
  7. Probability Data Distributions
  8. Framing Data in Julia
  9. Working on Data in DataFrames
  10. Visualizing Data in Julia
  11. Introducing Machine Learning in Julia
  12. Data and Models
  13. Bayesian Statistics and Modeling
  14. Parallel Computation in Julia
  15. Distributed Computation in Julia
  Index

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  How to Start Your Virtual...

  Connie Zabala

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  In this audiobook, you will see a simple and easy to follow how-to guide where the author shares 10 bite-sized chapters and guide questions to help you:1. Create your online profile based on your personality and what you already know.2. Qualify clients instead of them qualifying you.3. Make money online without subscribing to any online freelancing platforms.4. Learn how to market your virtual assistant business without pitching.5. Systematize your freelancing business and avoid the “feast and famine” cycle.When you finish this audiobook, you’ll know the best ways to earn online as a topnotch virtual assistant, build a thriving online business, have a consistent online income, and get the time freedom you always wanted."What Connie has produced is a framework for starting and developing your freelance business from the ground up minus the guesswork." – A Foreword snippet by John Pagulayan

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