Latest Release
Before Machine Learning Vol 2 - Calculus
Calculus is essential in machine learning and algorithm optimization, offering tools for function analysis and model tuning. Key concepts like derivatives and integrals are crucial for optimizing neural networks and minimizing error rates, making a strong understanding of calculus vital for success in these advanced fields.
Embark on a buzzing exploration of calculus in machine learning, where bees are your companions in deciphering the secrets of AI.
Jorge Brasil
About Me
Jorge Brasil
A Mathematician and now a book writer
I am a mathematician with over a decade of experience in developing and deploying machine learning systems. My books are written in an conversational style with humour. They are rich in practical applications, enabling readers to not only grasp the concepts but also understand their real-world applications in the field of Data Science.
Customer's Reviews
Mason
"As a student going into ML without much of a linear algebra foundation, I’m finding this book highly useful.
Starts form the basics and works at a reasonable pace to establish core ML concepts..."
Jonny Childs
" ...If you are looking for a resource that elagantly combines breadth and depth such you can understand the fundamentals of linear algebra to ultimately apply them to your ML projects, this is your stop..."
Kie
"...The conversational tone of the book is its biggest strength. It feels less like a traditional textbook and more like a novel. This approach makes the reader feel at ease, particularly when tackling complex topics... "
There are two of them!
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