Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI

Clear, structured, top

Répond 1 mes attentes. Super livre pour s'approprier les concepts de l'IA et du machine learning.

I thoroughly enjoyed Raschka’s book. It explored a variety of topics on machine learning and deep learning. Some of it was familiar but more than half of it was new knowledge. It expanded my knowledge on the cutting edge methods. Also I liked that all chapters had exercises. If you’re looking for something like this, I highly recommend checking it out.

I found this to be a very well-written, accessible, helpful tool in going deeper in understanding AI and the concepts around it. Even beginners can get plenty out of it, although it's primarily geared toward those with a solid foundation already as others have pointed out.

I am a software developer and was excited to find out more about AI programming. This book clearly assumes a very high level of existing understanding of math and core AI concepts. Literarily the first concept gets into "high-dimensional" data and "low-dimensional" vectors. The title is misleading because for a novice an essential question would be "what are low-dimensional" vectors, what is convolution, etc.