MỤC TIÊU KHÓA HỌC
ĐỌC HIỂU PHÂN TÍCH BÁO CÁO TÀI CHÍNH
- Understand core concepts like machine learning, deep learning, and algorithms in a clear and practical way.
- Speak confidently about AI topics with colleagues, friends, and even potential employers.
ĐỌC HIỂU PHÂN TÍCH BÁO CÁO TÀI CHÍNH
- Understand core concepts like machine learning, deep learning, and algorithms in a clear and practical way.
- Speak confidently about AI topics with colleagues, friends, and even potential employers.
ĐỌC HIỂU PHÂN TÍCH BÁO CÁO TÀI CHÍNH
- Understand core concepts like machine learning, deep learning, and algorithms in a clear and practical way.
- Speak confidently about AI topics with colleagues, friends, and even potential employers.
NỘI DUNG KHÓA HỌC
Duration
6 weeks
Time
Thu & Sun: 7pm – 9pm
Course Format
Video, Quiz, Article
Study Method
Online
Introduction to AI and Machine Learning
1 week | 7pm - 9pm Thu, Sun
Uncover the intricacies of AI, machine learning (ML), and deep learning, tracing their historical development and evolution. Navigate the expansive landscape of machine learning, distinguishing between the pivotal categories of Supervised, Unsupervised, and Reinforcement Learning.
Introduction to AI and Machine Learning
1 week | 7pm - 9pm Thu, Sun
Uncover the intricacies of AI, machine learning (ML), and deep learning, tracing their historical development and evolution. Navigate the expansive landscape of machine learning, distinguishing between the pivotal categories of Supervised, Unsupervised, and Reinforcement Learning.
Introduction to AI and Machine Learning
1 week | 7pm - 9pm Thu, Sun
Uncover the intricacies of AI, machine learning (ML), and deep learning, tracing their historical development and evolution. Navigate the expansive landscape of machine learning, distinguishing between the pivotal categories of Supervised, Unsupervised, and Reinforcement Learning.
Introduction to AI and Machine Learning
1 week | 7pm - 9pm Thu, Sun
Uncover the intricacies of AI, machine learning (ML), and deep learning, tracing their historical development and evolution. Navigate the expansive landscape of machine learning, distinguishing between the pivotal categories of Supervised, Unsupervised, and Reinforcement Learning.
