Mastering ChatGPT and Google Colab for Machine Learning: Automate AI Workflows and Fast-Track Your Machine Learning Tasks with the Power of ChatGPT, Google Colab, and Python
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Mastering ChatGPT and Google Colab for Machine Learning: Automate AI Workflows and Fast-Track Your Machine Learning Tasks with the Power of ChatGPT, Google Colab, and Python (Paperback, Rosario Moscato)

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Mastering ChatGPT and Google Colab for Machine Learning: Automate AI Workflows and Fast-Track Your Machine Learning Tasks with the Power of ChatGPT, Google Colab, and Python  (Paperback, Rosario Moscato)

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Highlights
  • Binding: Paperback
  • Publisher: Orange Education Pvt Ltd
  • ISBN: 9788197953491
  • Edition: 1, 2024
  • Pages: 323
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  • 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. The later chapters focus on optimizing tasks using the more powerful paid version of ChatGPT, culminating in the creation of a custom GPT named “Data Scientist” to tackle specialized challenges. Additionally, the book includes a section on best practices, expert tips, and interview questions, making it a comprehensive resource for aspiring data scientists and seasoned professionals alike.
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    Specifications
    Book Details
    Publication Year
    • 2024
    Book Type
    • Non Fiction
    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
    Number of Pages
    • 323
    Contributors
    Author Info
    • Rosario Moscato holds a master’s degree in electronic engineering from Federico II University in Naples and a master’s degree in internet software design from CEFRIEL in Milan. Additionally, he has a diploma in apologetics and a master’s degree in science and faith from the Pontifical Athenaeum Regina Apostolorum in Rome. With nearly 25 years of experience, Rosario has always focused on the development and fine-tuning of the most innovative technologies across various international companies in Europe and Asia, covering various highly technical, commercial, and business development roles
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