Learn how to harness the power of ChatGPT to streamline data analysis, accelerate model development, and unlock innovative solutions to real-world problems.

Key Features
● Step-by-step progression from foundational machine learning concepts to advanced techniques using ChatGPT and Google Colab.
● Clear and detailed instructions for data preparation, model training, and evaluation, simplifying complex machine learning tasks.
● Extensive use of Google Colab for coding and experimentation, providing a real-world platform to apply learned techniques effectively.

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. 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.

What you will learn
● Learn to integrate and optimize ChatGPT and Google Colab for enhanced data science tasks.
● Master techniques for preparing and cleaning data for analysis.
● Gain a solid grasp of statistical concepts essential for data science.
● Learn the processes for training, evaluating, and refining machine learning models.
● Perform data analysis and preprocessing using natural language processing techniques.

Who is this book for?
This book is ideal for aspiring data scientists and machine learning enthusiasts eager to enhance their skills with ChatGPT and Google Colab. It also serves tech professionals, academics, and business analysts seeking practical insights into AI and data science. A basic understanding of programming, statistics, and data analysis is recommended before diving in.

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.

In recent years, Rosario has turned his focus exclusively towards artificial intelligence and data science. On one hand, he aims to enhance and make every business extremely competitive by introducing and supporting machine and deep learning technologies; and on the other hand, he analyzes the ethical and philosophical implications deriving from the new scenarios that these disciplines open up. Rosario has authored three books and is a speaker at international research centers and conferences, as well as a trainer and technical/scientific consultant in the huge and ever-evolving field of AI. 

He is also an author of a weekly magazine and a TV guest. Currently, he is working as the CTO (Chief Technical Officer) and CAIO (Chief Artificial Intelligence Officer) with one of the oldest AI companies in Italy.

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ABOUT TECHNICAL REVIEWS

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About the Technical Reviewer

Roberto Schiavelli is a Data Scientist with a strong foundation in Statistics and extensive experience in machine learning and deep learning. After earning a Master’s degree in Statistics, he completed an advanced Master’s program in Data Science, further solidifying his technical and analytical skills. 

Throughout his career, Roberto has expanded his expertise into advanced areas such as computer vision, generative artificial intelligence, and cloud computing. With these skills, he designs and implements statistical models and machine-learning solutions to tackle complex business challenges. 

Passionate about technology and innovation, Roberto is constantly exploring new methodologies to enhance the efficiency and effectiveness of AI-driven systems, pushing the boundaries of the field.

Dr. Alok Tiwari is a data science expert with a strong foundation in Biomedical Engineering (PhD from IIT-BHU). He currently leverages his knowledge in AI, machine learning, and data engineering as an Assistant Professor of Big Data

Analytics at the Goa Institute of Management. Dr. Tiwari's passion for healthcare is evident in his research on medical image analysis, particularly for COVID-19 classification and cardiac MRI segmentation. 

Beyond his impressive academic background, Dr. Tiwari possesses a wide range of technical skills. He's proficient in various coding languages and tools, adept at working with diverse databases, and comfortable handling large-scale projects with supercomputers. This allows him to tackle complex problems and deliver impactful results. 

In his leisure time, he enjoys indulging in various activities such as listening to music, singing songs, playing cricket, badminton, and chess.