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content/my-experience-learning-machine-learning-and-mathematics/en/index.mdx

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## Mathematics
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I'm currently reading the books [Mathematics for Machine Learning](https://mml-book.github.io/) and [Why Machines Learn](https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749). They are great in content and a bit different. Maths for ML looks like a textbook, rigid, and focuses more on mathematics. Why Machines Learn is also all about mathematics but with a great focus on ML and basic concepts of deep learning.
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I'm currently reading the books [Mathematics for Machine Learning](https://mml-book.github.io) and [Why Machines Learn](https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749). They are great in content and a bit different. Maths for ML looks like a textbook, rigid, and focuses more on mathematics. Why Machines Learn is also all about mathematics but with a great focus on ML and basic concepts of deep learning.
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But my first step was the [course on math for ML with Python](/series/mathematics-for-machine-learning), covering basic topics of algebra, linear algebra, statistics, and calculus. I liked it because it was very interactive and the usage of Python made it very engaging, mostly because I'm a software engineer myself so it feels like my comfort zone.
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In December I decided to make a bigger investment (in time and money) and signed up for Math Academy. I'm putting a whole lot of effort into mathematics now. Starting from basic concepts and climbing to advanced concepts.
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The first 1-2 hours of my day always start with math on [Math Academy](https://www.mathacademy.com/), currently working on the mathematical foundations II. My goal is to finish mathematical foundations I, II, and III soon enough and start the Math for ML course, and be ready to take the [Machine Learning course they are cooking](https://x.com/justinskycak/status/1846222957540266500).
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The first 1-2 hours of my day always start with math on [Math Academy](https://www.mathacademy.com), currently working on the mathematical foundations II. My goal is to finish mathematical foundations I, II, and III soon enough and start the Math for ML course, and be ready to take the [Machine Learning course they are cooking](https://x.com/justinskycak/status/1846222957540266500).
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Studying on Math Academy has been a lot of fun and I'm making lots of progress in my math knowledge, bridging the gap between basic math to advanced concepts in ML. The system just works.
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## Deep Learning
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Deep Neural Networks is currently the topic I'm focusing on. I started with the Book [Understanding Deep Learning](https://udlbook.github.io/udlbook/), which is just amazing. I bought the book to help fund this awesome project. The book is so well-written, and if you have an interest in deep learning, you should give it a chance.
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Deep Neural Networks is currently the topic I'm focusing on. I started with the Book [Understanding Deep Learning](https://udlbook.github.io/udlbook), which is just amazing. I bought the book to help fund this awesome project. The book is so well-written, and if you have an interest in deep learning, you should give it a chance.
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I took a break from the book to put the concepts into practice. I learned about the mathematics behind neural nets and implemented it from scratch, only using Python and Math.
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