Outros livros que poderiam interessá-lo

• 

  Machine Learning Interviews -...

  Susan Shu Chang

  • 0
  • 0
  • 0

  As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. 
   
   
   
  Having served as principal data scientist in several companies, Chang has considerable experience as both ML interviewer and interviewee. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way. You'll quickly understand how to successfully navigate your way through typical ML interviews. 
   
   
   
  This guide shows you how to: explore various machine learning roles, including ML engineer, applied scientist, and data scientist; assess your interests and skills before deciding which ML role(s) to pursue; evaluate your current skills and close any gaps that may prevent you from succeeding in the interview process; acquire the skill set necessary for each machine learning role; ace ML interview topics, including coding assessments, statistics and machine learning theory, and behavioral questions; and prepare for interviews in statistics and machine learning theory by studying common interview questions.

  Ver livro

• 

  Genius Makers: Book Summary &...

  Briefly Summaries

  • 0
  • 0
  • 0

  This is a concise summary and analysis of Genius Makers, by Cade Metz.
   
  It is not the original book and is not affiliated with or endorsed by Cade Metz.
   
  Ideal those seeking a quick and insightful overview.
   
  Genius Makers delves into the competitive and high-stakes world of artificial intelligence, uncovering the stories of the brilliant minds and groundbreaking technologies behind the rise of AI. The book examines the battle between tech giants and researchers to create the most powerful AI systems, exploring the ethical dilemmas, power struggles, and transformative potential of this technology. It provides a compelling look at the revolution shaping our future and the people driving it.

  Ver livro

• 

  Longevity by Choice - The Art of...

  Zen Lee

  • 0
  • 0
  • 0

  Modern life exposes us to an array of harmful toxins and substances, both external and internal. These toxins can accumulate, accelerate cell aging, and lead to a myriad of health issues. 
  Authored by wellness expert, Zen Lee, who holds a Bachelor’s Degree in Medical Science and has dedicated years to the study of human health, "The Art of Resetting Your Body," will equip you with the knowledge and tools you need to cleanse and detoxify your body effectively with easy day-to-day detox options as well as in-depth cleansing methods, empowering you to choose the approach that fits your lifestyle. 
  From resetting your brain, liver, gut, respiratory system, kidneys, lymphatic system, to your skin, each organ plays a vital role in maintaining your overall health. 
  Here's a glimpse of what awaits you:An in-depth understanding of various toxins affecting your body and how to eliminate them.Personalized detox plans based on your environment, habits, and profession.The profound connection between toxin elimination and longevity.How to implement lasting lifestyle changes for sustained well-being. 
  By adopting the principles outlined in this book, you can detoxify your body, reduce inflammation, and optimize your natural processes to support cell health and longevity. 
  If you're seeking the keys to a longer, healthier life, this book is the ultimate guide you've been waiting for. Take control of your well-being, unlock your body's potential, and embrace a life filled with vigor and happiness. Don't miss the opportunity to live the life your body will thank you for—get your copy now and start your transformation towards a healthier and more fulfilling future.

  Ver livro

• 

  Code Generation AI - Exploring...

  Et Tu Code

  • 0
  • 0
  • 0

  Discover the cutting-edge realm of Code Generation AI with this comprehensive audiobook, "Code Generation AI: Exploring the World of Automated Code Synthesis." Delve into the foundations of Automated Code Synthesis, offering a clear understanding of its principles. Uncover the power of Programming Language Agnosticism, enabling code generation across diverse languages. 
  Learn the intricacies of Code Generation Models, exploring their inner workings and gaining insights into crafting your own models. Navigate the nuances of optimising code quality and performance, essential for seamless integration into your projects. Explore the realm of Machine Learning for Code Generation, with a dedicated focus on the application of Deep Learning in Code Synthesis. 
  Embark on a journey through various paradigms with dedicated sections on Code Generation for Different Paradigms and GitHub Copilot's revolutionary impact on code writing. Gain insights into popular models and witness the synergy of Human-AI Collaboration in Software Development. The ebook provides practical examples of utilizing OpenAI Code Generation Models across diverse use cases. 
  Address security concerns with a dedicated section on the Security Implications of AI-Generated Code. Dive into the thriving world of Community and Open Source Contributions, highlighting the Evolution of Code Generation Tools. Explore real-world applications of Code Generation Models in industry and unravel the ethical considerations associated with Code Generation AI. 
  Confront challenges and envision the future prospects in this ever-evolving field. With a concise yet informative structure, this ebook serves as a comprehensive guide to Code Generation AI, offering a balance of theory and practical application. Stay ahead of the curve and embrace the future of code synthesis.

  Ver livro

• 

  Machine Learning with Python -...

  Alexander Cane

  • 0
  • 0
  • 0

  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.

  Ver livro

• 

  Navigating the Metaverse - A...

  Cathy Hackl, Dirk Lueth, Tommaso...

  • 0
  • 0
  • 0

  Jump into the metaverse to connect with consumers and explore endless opportunities 
   
   
   
  Like the Internet before it, the metaverse is a virtual space bringing people, companies, and products together in both digital and real environments to create new economic opportunities. The groundwork is already laid. People and organizations jumping in are gaining invaluable experience, meeting customers, developing revenue streams, and even shaping metaverse culture. 
   
   
   
  In Navigating the Metaverse: A Guide to Limitless Business Possibilities in a Web 3.0 World, a team of Silicon Valley thought leaders delivers a groundbreaking discussion of how to find the right opportunities in this fast-moving universe. You'll explore everything from the metaverse basics, to strategy, to launching your first metaverse project. In the book, you'll find: data and market analysis to erase any doubt that the metaverse is the next big thing; foundational knowledge about the metaverse, metaverse economy, Web3 technology, and more; the essential connection between metaverse environments, businesses, community, and digital products that make the metaverse economy so powerful; a deep dive on non-fungible tokens (NFTs) and how to make the most of these assets; and frameworks to help find, nurture, measure, and capitalize on innovation in the metaverse.

  Ver livro