# AdvMachineLearningSkema

**Repository Path**: xinihe/adv-machine-learning-skema

## Basic Information

- **Project Name**: AdvMachineLearningSkema
- **Description**: Course materials for students
- **Primary Language**: Python
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 8
- **Forks**: 3
- **Created**: 2023-02-20
- **Last Updated**: 2023-10-26

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Advanced Machine Learning

This repo contains teaching materials for the course of **Advanced Machine Learning.**

**Course Description**:

This course will introduce students to a variety of concepts and terms associated with machine learning. Students will have an awareness of what Machine Learning, or ML, is. Student will get familiar with a wide range of issues and difficulties that are connected to ML and AI, such as FinTech and marketing, as well as employment, and students will receive guidance on how to study ML and start a career in the area. In addition, a number of Python-based projects will be used to demonstrate the many applications of ML.

**Learning Objectives:**

1. Familiarize with some advanced learning algorithms and techniques and their applications;
2. Understand general challenges related to analyzing and handling large data sets;
3. Able to deomostrate learned algorithm by using related Python libraries/packages;
4. Able to explain the underlying principles of key algorithms.

**References:**

1. Andriy Burkov. **[The Hundred-Page Machine Learning Book](https://gitee.com/xinihe/adv-machine-learning-skema/raw/master/Resources/Burkov,%20Andriy%20-%20The%20hundred-page%20machine%20learning%20book-Andriy%20Burkov%20(2019).pdf)**
2. Ian Goodfellow, Yoshua Bengio and Aaron Courville. **[Deep Learning](https://www.deeplearningbook.org/)**
3. Andreas Müller, Sarah Guido. **[Introduction to Machine Learning with Python: A Guide for Data Scientists](https://gitee.com/xinihe/adv-machine-learning-skema/raw/master/Resources/M%C3%BCller_-Andreas-C.pdf)**