Published on: 2023-08-15 19:05:33
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Machine Learning for Trading Specialization is a series of training on the principles of machine design to combat fraud and trading in financial markets, published by Coursera. Algorithmic and quantitative standards are two extremely popular in buying and selling stocks and assets. These two techniques use various machine techniques and statistical science to automate ordering and have gained many fans around the world. This educational series consists of three completely separate courses and was designed by two Google cloud services organizations (Google Cloud) and the New York Institute of Finance. This course has public educational facilities and most active people invest in the market.
Different strategies can be designed to escape in the financial markets, but strategy design is only a small part of the adventure, and to implement it, we must use the Python programming language and the principles and basics of machine science. In short, we are dealing with a completely intelligent robot that, during its financial day, places orders on the system based on a set of orders, and the overall result is positive.
Publisher: Coursera
Instructors: Jack Farmer
Language: English
Level: Intermediate
institution/university: Google Cloud and New York Institute of Finance
Number of Courses: 3
Duration: Approximately 3 months to complete – Suggested pace of 4 hours/week
What background knowledge is necessary?
To be successful in this course, you should have a basic competency in Python programming and familiarity with the Scikit Learn, Statsmodels and Pandas library. You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging).
After Extract, watch with your favorite Player.
ُubtitle: English
Quality: 720p
This Specialization contain 3 courses.
Version 2023/8 compared to 2022/10:
Introduction to Trading, Machine Learning & GCP: the videos have not changed and 8 documents (quizzes, highlights, PowerPoint, etc.) have increased.
Using Machine Learning in Trading and Finance: the videos have not changed and 2 documents (quizzes, highlights, PowerPoint, etc.) have increased.
Reinforcement Learning for Trading Strategies: videos and documents (quizzes, highlights, PowerPoint, etc.) have not changed.
Course 1 – Introduction to Trading, Machine Learning & GCP
Course 2 – Using Machine Learning in Trading and Finance
Course 3 – Reinforcement Learning for Trading Strategies
In total, about 1.49 GB
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