Video Training →Artificial Intelligence Agents and Neural Networks for Trade

Build machine learning models for trading stocks.
What you'll learn
How to build machine learning models for stock trading
Code in Python
Understand artificial intelligence applications in finance
Train and evaluate neural networks
Requirements
No experience needed
Description
Artificial Intelligence Agents and Neural Networks for Trade
Regression
often used to determine how many specific factors influence the price movement of an asset
helps investment and financial managers value assets and understand the relationships between variables
Option pricing
Decision tree often applied
Assumes the value of the underlying asset will rise or fall based on calculated probabilities at maturity date of the European option
Real option analysis
Valuing real options must be done with the use of decision trees
Corporate analysis
Use different features like product quality, economy status, competitors status, and appeal to determine whether to launch a product
What you can do
Maintain products
Prevent fraud
Trade
Analyze news, social media and sentiment
Recommend products
Neural networks
next-generation tool
great potential that can detect subtle non-linear interdependencies and patterns
other methods of technical analysis are unable to uncover
Alexandra Kropova is a software developer with extensive experience in full-stack web development, app development and game development. She has helped produce courses for Mammoth Interactive since 2016, including the Coding Interview series in Java, jаvascript, C++, C#, Python and Swift.
When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.
Who this course is for
Anyone interested in AI application in finance


Homepage

https://www.udemy.com/course/artificial-intelligence-agents-and-neural-networks-for-trade/