Coursera – Machine Learning for Trading Specialization 2023-8 – Download

Description

The Machine Learning for Trading specialization is a series of training courses on the principles of designing machines to combat fraud and trading in financial markets, published by Coursera. Algorithmic and quantitative standards are two extremely popular standards for buying and selling stocks and assets. Both of these techniques use various mechanical techniques and statistical science to automate controls and have gained many fans around the world. This educational series consists of three completely separate courses and was designed by two cloud services organizations from Google (Google Cloud) and the New York Institute of Finance. This course has public educational institutions and the most active people investing in the market.

Different strategies can be designed to escape in the financial markets, but designing a strategy is only a small part of the adventure, and to implement it we need to use the Python programming language as well as the principles and bases of machine science. In short, we are dealing with a completely intelligent robot which, during its financial day, places orders on the system based on a set of orders, and the overall result is positive.

What you will learn in the Machine Learning for Trading specialization

economy and finance
Trade, buy and sell assets on different financial markets
Invest in different financial markets
Principles and Basics of Machine Learning
Algorithmic trading and quantitative trading
Python programming language
Construction and development of a reinforcement learning model
Optimization of different trading algorithms
Development and optimization of different trading strategies
And…

Course Specifications

Editor: Coursera
Instructors: Jack Farmer
French language
Intermediate level
institution/university: Google Cloud and New York Institute of Finance
Number of lessons: 3
Duration: Approximately 3 months to complete – Suggested pace of 4 hours/week

Courses included:

Machine learning for trading specialization

Machine learning for trading specialization prerequisites

What basic knowledge is needed?

To successfully complete this course, you must have basic Python programming skills and knowledge of the Scikit Learn, Statsmodels, and Pandas libraries. You must have a background in statistics (expected values and standard deviation, Gaussian distributions, upper moments, probability, linear regressions) and fundamental knowledge of financial markets (stocks, bonds, derivatives, market structure, hedging).

Pictures

Machine learning for trading specialization

Introductory video for the Machine Learning for Trading specialization

Installation guide

After the clip, watch with your favorite reader.

ُsubtitle: English

Quality: 720p

This specialization contains 3 courses.

Version 2023/8 compared to 2022/10:

Introduction to trading, machine learning and GCP: the videos have not changed and 8 documents (quizzes, highlights, PowerPoint, etc.) have been increased.

Using Machine Learning in Trading and Finance: videos have not changed and 2 documents (quizzes, highlights, PowerPoint, etc.) have increased.

Reinforcement learning for trading strategies: The videos and documents (quizzes, highlights, PowerPoint, etc.) have not changed.