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  Mastering ChatGPT and Google...

  Rosario Moscato

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  Learn how to harness the power of ChatGPT to streamline data analysis, accelerate model development, and unlock innovative solutions to real-world problems. 
  Book Description
  Unlock the future of machine learning by mastering Google Colab, trusted by over 5 million data scientists, and ChatGPT, powering 100 million users worldwide. This book bridges the latest in AI with practical, hands-on applications for data science. 
  With these game-changing tools at your command, you’ll be able to streamline complex workflows, automate tedious tasks, and propel your AI skills to new heights—making machine learning faster, smarter, and more accessible than ever before. 
  Each chapter unfolds a specific aspect of data science and machine learning, seamlessly integrated with ChatGPT’s free version capabilities. The foundational chapters introduce key machine learning concepts, while advanced sections explore topics such as natural language processing, sentiment analysis, and predictive analytics—all illustrated with real-world examples and interactive exercises. 
  Table of Contents
  
  1. Introduction to ChatGPT
  2. ChatGPT for Data Science and Machine Learning
  3. Fundamentals of Statistics for Data Science
  4. Missing Values and Outliers
  5. Relation Between Variables and Charts
  6. Data Preparation
  7. Training and Evaluation
  8. Fine Tuning, Features Selection, and Final Model
  9. Data Preparation and Training
  10. Fine Tuning and Final Model
  11. Data Analysis and Dataset Manipulation (NLP)
  12. Sentiment Analysis and Predictions
  13. ChatGPT-4 for a Completely Automated Data Science Workload
  14. Customizing GPT for Applications
  15. Takeaways and Conclusions   
  Index

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  Proof of Stake: The Making of...

  Vitalic Buterin, Nathan Schneidor

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  This book is an assortment of papers including "On Free Discourse," which makes an entirely different norm with the expectation of complimentary discourse and how to safeguard it; "Forecast Markets: Stories from the Political race," in which Buterin wagers on the Trump-Biden political decision when it was chosen, and the way that the forecast markets assist with making sense of the political circumstance today where so many accept Trump won; and the last exposition in the book, "Crypto Urban communities," where Buterin notices the starting points currently moving of a future where urban areas represented through blockchain preferable serve the public great over overseeing political organizations do today.

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  Why We Need to Be Wild - One...

  Jessica Carew Kraft

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  A bold examination of how Paleolithic wisdom could solve our 21st century problems 
   
  Jessica Carew Kraft, an urban wife and mom of two, was firmly rooted in the modern world, complete with a high-powered career in tech and the sneaking suspicion that her lifestyle was preventing her and her family from truly thriving.  
   
  Determined to find a better way, Jessica quit her job and set out to learn about “rewilding” from people who reject the comforts and convenience of civilization by using ancient tools and skills to survive. Along the way, she learned how to turn sticks into fire, stones into axes, and  
  bones into tools for harvesting wild food—and found an entire community walking the path back from our technologyfocused, anxiety-ridden way of life to a simpler, more human experience. 
   
  Weaving deep research and reportage with her own personal journey, Jessica tells the remarkable story of the potential benefits rewilding has for us and our planet and questions what it truly means to be a human in today’s world. Why We Need to Be Wild is a thought-provoking,  
  unforgettable narrative that illuminates how we survived in the past, how we live now, and how each of us can choose to thrive in the years ahead.

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  Field Guide to Medicinal Wild...

  Bradford Angier

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  A revision of the definitive reference, containing plant characteristics, distribution, and medicinal qualities, an updated taxonomy, and fifteen new species.   The Field Guide to Medicinal Wild Plants is the ultimate handbook for identifying and using wild plants for medicinal purposes. This illustrated guide to North American wild medicinals has been a nature classic for over thirty years. In this second edition, David K. Foster revises Bradford Angier's invaluable reference, updating the taxonomy and adding more than a dozen species, including the purple coneflower, popularly known as echinacea, as well as ephedra, jewelweed, goldenseal, and more. Scientific information for a general audience and full-color illustrations combine with intriguing accounts of the plants’ uses, making this a practical guide for anyone interested in the medicinal uses of wild plants.

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  Python Machine Learning for...

  Jim D Johnston

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  Step into the exciting world of artificial intelligence and data science with a practical guide designed for complete beginners. 
  Python Machine Learning for Beginners introduces readers to the fundamental concepts of machine learning using Python, the world's most popular programming language for AI and data-driven applications. Written in a clear and accessible style, this book helps beginners understand how machines learn from data, make predictions, recognize patterns, and solve real-world problems. 
  From basic programming concepts to building your first machine learning models, this comprehensive guide provides a strong foundation for anyone looking to start a career in artificial intelligence, data science, or software development. 
  Inside, you will discover:The fundamentals of Python programming for machine learningCore concepts of artificial intelligence, data science, and machine learningUnderstanding data collection, preparation, and preprocessingExploratory data analysis and data visualization techniquesSupervised and unsupervised learning algorithmsBuilding predictive models with PythonIntroduction to neural networks and deep learningWorking with popular libraries such as NumPy, Pandas, Matplotlib, and Scikit-learnEvaluating and improving machine learning model performanceReal-world applications in business, healthcare, finance, marketing, and automation 
  With practical examples, hands-on exercises, and real-world projects, Python Machine Learning for Beginners provides the knowledge, skills, and confidence needed to begin your journey into one of the fastest-growing fields in technology today.

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  The Science of Star Trek - The...

  Mark Brake

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  Star Trek is one of the highest-grossing media franchises of all time. It has changed our cultural landscape in so many ways since it first aired in 1966. The franchise has generated billions of dollars in revenue, leading to a wide range of spin-off games, novels, toys, and comics. Star Trek is noted for its social science, too, with its progressive civil rights stances and its celebration of future diversity that began with The Original Series, one of television's first multiracial casts. 
   
   
   
  The Science of Star Trek explores one of the greatest science-fiction universes ever created and showcases the visionary tech that inspired and influenced the real-world science of today. The perfect Star Trek gift for fans of the franchise, this book addresses many unanswered, burning questions, including: What can Star Trek tell us about aliens in our Milky Way?; How has Star Trek influenced space culture?; What can Star Trek tell us about planet hunting?; What Star Trek machines came true?; And when will we boldly go? 
   
   
   
  Learn more about one of our favorite modern epics with The Science of Star Trek!

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