Description
Machine Learning and Reinforcement Learning in Finance Specialization, the training course on Machine Learning and Reinforcement Learning in Finance is published by Udemy Academy. The main objective of this specialization is to provide the knowledge and practical skills necessary to build a strong foundation on the main machine learning (ML) paradigms and algorithms, with a special focus on ML applications for various practical problems in finance. The purpose of this specialization is to help students to solve practical problems that they may encounter in real life, which are: 1. Mapping the problem into a general landscape of available ML methods, 2. Choosing the specific ML approach(es). which will be very suitable for solving the problem, 3. Successful implementation of a solution and evaluation of its performance. Expertise is primarily in ML, where all examples, homework, and course projects deal with various issues in finance (such as stock trading, asset management, and banking applications), and the selection of topics is respectively focused on methods. ML is used by professionals in finance. The purpose of this specialization is to prepare students to work on complex machine learning projects in finance, which often require a broad understanding of the entire ML field and an understanding of the appropriateness of different methods in a specific ML subfield (e.g., learning unsupervised) to address practical problems they may encounter in their work.
What you will learn
- Comparing ML for finance to ML in technology (image and speech recognition, robotics, etc.)
- Definition of linear regression and classification models and their evaluation methods
- Explain how reinforcement learning can be used for stock trading
- Learn about common methods for modeling financial market volatility and feedback effects for options trading.
Who is this course suitable for?
- People working in financial institutions such as banks, asset management companies or hedge funds
- People interested in using ML for personal daily trading
- Current full-time students majoring in finance, statistics, computer science, mathematics, physics,
Details of the Machine Learning and Reinforcement Learning course in Finance Specialization
- Publisher: Coursera
- teacher : Igor Halperin
- English language
- Education level: Intermediate
- Number of courses: 4
- Duration of training: 2 months including 10 hours of work per week
Chapters of the Machine Learning and Reinforcement Learning in Finance Specialization course
Course prerequisites
- Basic math including calculus and linear algebra, basic probability theory and statistics, and programming skills in Python.
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
Guided Tour of Machine Learning in Finance
Fundamentals of Machine Learning in Finance
Reinforcement Learning in Finance
Overview of Advanced Methods of Reinforcement Learning in Finance
File(s) password: www.downloadly.ir
Size
3.13 GB
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