Few books that I read give me the feeling that they are written for me, but the book Mathematics for Machine Learning does. The book’s authors start from the basics and present advanced mathematical concepts in an understandable way. If you ever want to get “under the hood” of machine learning, I suggest you start here.
Last week I attended a very inspiring webinar from the BCI society by Dr. Christian Herff. It was about machine learning for BCI systems. When I started my Ph.D. studies in august 2019, I knew nothing about BCI systems and machine learning. Since then, I have taken courses and read a lot about the topics and feel somewhatContinue reading “So much Knowledge”
Last week I summarized chapter 14 (Deep Computer Vision Using Convolutional Neural Networks) of the book “Hands-on Machine learning” by Aurélien Géron for a course I’m taking. The course is based on the book, and during the course, I have evolved from knowing very little about Machine learning to feeling quite confident about it. I recommend this book ifContinue reading “Chapter Summary”
This summer, I finished reading the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (2nd ed.) by Aurélien Géron. I had no previous experience with Machine learning, but I feel confident about using it after reading this book. It includes both overview/intuition and in-depth explanations about Machine Learning algorithms and how to use them.Continue reading “Hands on Machine Learning – Book recomendation”