(Ken Cen出品)從零開始學Machine Learning第二部 -深度學習DL篇

Description

大家好，我是Ken Cen，鑑於上一部機械學習課程大受歡迎，我們再推出Machine Learning的第二部分內容。在這一部中，我們將講述Pytorch如何實現深度學習的各種演算法，以及如何具體實踐於Python當中。

演算法作為學習Machine Learning的重點和難點，一直以來，讓很多學生望而卻步。我們的Machine Learning課程正正為此而生。相對於輕輕帶過，我們課程會將重點放在演算法的理解上，為大家打開ML學習的大門。期待在課程中，與大家一起從零到專業學習人工智能！

Hello everyone, I'm Ken Cen. Following the great success of our previous machine learning course, we are launching the second part of our Machine Learning content. In this course, we will be covering various deep learning algorithms and how to implement them in Python.

Algorithms are a key and difficult aspect of learning Machine Learning, which has made many students shy away from it. Our Machine Learning course was created specifically for this reason. Instead of brushing over the topic, our course will focus on understanding the algorithms and open the door to learning ML for everyone. We look forward to learning artificial intelligence together with you from beginner to professional in this course!

What You Will Learn!

• 了解機器學習ML與深度學習DL的區別與關係
• 知道如何搭配DL的線上/線下運行環境
• 了解Pytorch框架的使用方法
• 了解如何製作深度學習模型

Who Should Attend!

• 想學習機械學習的學員
• 想學習Logistic Regression算法的學員
• 想學習Decistion Tree決策樹算法的學員
• 想學習Random Forest算法的學員
• 想學習KNN（K-nearest neighbors）算法的學員
• 想學習SVM（Support Vector Machines）算法的學員
• 想學習Naive Bayes算法的學員

TAKE THIS COURSE