Home AI Courses Machine Learning in Trading Specialization

Machine Learning in Trading Specialization

(0 reviews)

Begin Your Career in Trading with Machine Learning. Familiarize yourself with the machine learning methodologies employed in quantitative trading.

Key AI Functions:Learning Model Development,Algorithm Optimization,Strategy Development,Reinforcement Learning Trading,Algo Development,Algorithmic Trading,Python Programming,Machine Learning,Finance,Trading,Investment

Description

Reviews

Alternative Tools

Description for Machine Learning in Trading Specialization

Comprehend the techniques and structure employed in reinforcement learning (RL), deep learning, and machine learning strategies.

Outline the procedures necessary to create and evaluate a trading strategy that is controlled by machine learning.

Outline the techniques employed to optimize a trading strategy that is controlled by machine learning.

Utilize Tensorflow and Keras to construct machine learning models.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by New York Institute of Finance

Duration: 1 month at 10 hours a week

Schedule: Flexible

Reviews for Machine Learning in Trading Specialization

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

AI in Business

Machine Learning e Data Mining in R

Creative Thinking: Techniques and Tools for Success

IBM Intro to ML Specialization

Cloud Computing Specialization

Alternative Tools for Machine Learning in Trading Specialization

Featured Tools

AI in Business

Delve into the historical evolution of Generative AI and AI, exploring diverse models and their applications in business contexts for optimized decision-making and innovation.

#Business AI #Generation AI

Machine Learning e Data Mining in R

This program provides a pragmatic introduction to machine learning and data mining using R, encompassing fundamental techniques and tackling significant data analysis difficulties.

#pacchetti r: dplyr ggplot2 laps glmnet pls #reti neurali artificiali di tipo shallow e deep

Creative Thinking: Techniques and Tools for Success

Master inventive thinking techniques and their application in routine problem-solving and addressing global challenges by selecting and implementing the appropriate approach for each situation.

#Creative Thinking #Problem Solving

IBM Intro to ML Specialization

Acquire knowledge of machine learning by examining actual applications. Develop the necessary skills for a vocation in one of the most pertinent areas of contemporary AI by participating in hands-on projects and completing coursework from IBM's experts.

#Unsupervised Learning #Machine Learning