Kujira Hikouzukue: Introduction to Practical Machine Learning and Deep Learning Development using Python

Use the machine-mutting/relling to the office using kyoup, gcit-sun, and EnsorFece! AI, machine-ding, deep-running, and so on, are already showing success in many areas. And once you hear of success in this case of machine-driving, deep-diving, you want to use it in real life. In fact, machine-murning often means that you need to know about difficult math, but it's rarely used to do that. If you have the data to use, you can create what you want. In the front page, where you're using the Wimping Python machine, and deep-down practice, you'll collect data that's based on machine-sing and explain how to do machine-murning on the data collected. We're going to look at how we can collect data from the Internet effectively, and we're gonna look at ways to process it so that we can make it work well. And we're going to use processed data to introduce you with a practical Python example code, including the process of creating a chabot, defining a syilabus, recognizing a face, and so on. This revision reinforced the changes in how the Shen98 library should be used, the addition of the share framework, and some examples of corrections.

Korean title: 파이썬을 이용한 머신러닝, 딥러닝 실전 개발 입문

Korean author: 쿠지라 히코우즈쿠에

Korean publisher: 위키북스

ISBN-13: 9791158391799