The first step towards your future in Artificial Intelligence applied to the world of the Internet of Things!

I am excited to introduce you to "The Basics of Machine Learning", the first volume of a complete path dedicated to the Artificial Intelligence of Things. A work designed for those who start from scratch but dream of becoming the protagonist of the Fourth Industrial Revolution!

In simple, clear and practical language, I will guide you through the fascinating world of Machine Learning and Deep Learning, the technologies that are transforming our present and that will dominate our future.

What you will find in this book:

✨ The mathematical foundations essential to understand Machine Learning.
✨ How the machine learning process really works.
✨ How to build your first neural network from scratch.
✨ Techniques for solving regression problems and classifying images.
✨ Winning strategies to combat overfitting and improve model performance.
✨ Design of Convolutional Neural Network (CNN) for real Computer Vision applications.

Not just theory: a lot of practice, right away!

✅ Concrete exercises on Google Colab and other free notebooks.
✅ Ready-to-use Python scripts.
✅ Detailed video tutorials for each practical project.
✅ Access to extra content and updates on my YouTube channel!

With this course you are not just learning: you are building real skills, ready to be applied in innovative projects, in the world of work, or in your future startup!

If you're passionate about the future, don't wait – start your Machine Learning journey today. Become an innovator!

📚 Download the book now and join the next generation of AI pioneers!

🧠 Important note:
THE BOOK HAS BEEN TRANSLATED FROM ITALIAN INTO YOUR LANGUAGE USING ARTIFICIAL INTELLIGENCE. THERE MAY BE INACCURACIES, ESPECIALLY IN THE SOFTWARE CODE.
That's why at the end of each tutorial, you'll find a link to download the correct code.
Additionally, the book is sold at a very low price.
I hope you'll appreciate the gesture in publishing it — I'm sure you'll find it very interesting.

📬 For any info or feedback: info@bemaker.org