Complete Machine Learning & Data Science Bootcamp — Udemy(S2-S3)

Section 2: Machine Learning 101 / Section 3: Machine Learning and Data Science Framework

Section 2: Machine Learning 101

What is Machine Learning?

Normal algorithm vs. Machine learning algorithm

AI/Machine Learning/ Data Science

Venn diagram

Types of Machine Learning

Section 3: Machine Learning and Data Science Framework

6 Step Machine Learning Framework

Types of Machine Learning Problems — What problems are we trying to solve?

Regression: try to predict numbers
Punishment or reward

Types of Data — What kinds of data we have?

Types of Evaluations — What defines success for us?

example

Features in Data — What do we already know about the data?

Modelling — Based on our problem and data, what model should we use?

Splitting Data

The proportion usually like this.

Modelling — Picking the Model

Modelling — Tuning(Validation set)

Modelling Comparison — How will our model perform in the real world?

Experimentation — How could we improve/what can we try next?

Tools we’ll use

理科與藝術交織成靈魂的會計人,喜愛戲劇與攝影,但也喜歡資料科學。