Search result for Machine learning for trading course Online Courses & Certifications
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Machine Learning for Trading
by Tucker Balch , Arpan Chakraborty- 0.0
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Approx. 4 months
Implement machine learning based strategies to make trading decisions using real-world data. lesson 1 Manipulating Financial Data in Python lesson 2 Computational Investing lesson 3 Machine Learning Algorithms for Trading...
Free
Introduction to Trading, Machine Learning & GCP
by Jack Farmer , Ram Seshadri- 4
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Approx. 9 hours to complete
By the end of the course, you will be able to use Google Cloud Platform to build basic machine learning models in Jupyter Notebooks. Introduction to Trading with Machine Learning on Google Cloud Course Overview Introduction to Trading with Machine Learning on Google Cloud Welcome to Introduction to Trading, Machine Learning and GCP...
Reinforcement Learning for Trading Strategies
by Jack Farmer , Ram Seshadri- 3.7
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Approx. 12 hours to complete
In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the benefits of using reinforcement learning in trading strategies. Introduction to Course and Reinforcement Learning Benefits of Reinforcement Learning in Your Trading Strategy Idiosyncrasies and challenges of data driven learning in electronic trading...
Python and Machine Learning for Asset Management
by John Mulvey - Princeton University , Lionel Martellini, PhD- 3
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Approx. 17 hours to complete
Machine Learning for Investment Decisions: A Brief Guided Tour References for module 1"Introducing the fundamentals of machine learning" Machine learning techniques for robust estimation of factor models References for module 2"Machine learning techniques for robust estimation of factor models" Machine learning techniques for efficient portfolio diversification Machine learning techniques for regime analysis...
Using Machine Learning in Trading and Finance
by Jack Farmer , Ram Seshadri- 4
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Approx. 19 hours to complete
This course provides the foundation for developing advanced trading strategies using machine learning techniques. To be successful in this course, you should have advanced competency in Python programming and familiarity with pertinent libraries for machine learning, such as Scikit-Learn, StatsModels, and Pandas. Welcome to Using Machine Learning in Trading and Finance...
Fundamentals of Machine Learning for Healthcare
by Matthew LungrenTop Instructor , Serena YeungTop Instructor- 4.8
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Approx. 12 hours to complete
This course will introduce the fundamental concepts and principles of machine learning as it applies to medicine and healthcare. Why machine learning in healthcare? Evaluation and Metrics for machine learning in healthcare Building Multidiciplinary Teams for Clinical Machine Learning Learn important approaches for leveraging data to train, validate, and test machine learning models....
Reinforcement Learning in Finance
by Igor Halperin- 3.6
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Approx. 17 hours to complete
This course aims at introducing the fundamental concepts of Reinforcement Learning (RL), and develop use cases for applications of RL for option valuation, trading, and asset management. - Apply their knowledge acquired in the course to a simple model for market dynamics that is obtained using reinforcement learning as the course project....
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Solve Business Problems with AI and Machine Learning
by Renée Cummings- 0.0
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Approx. 11 hours to complete
Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. Solve Business Problems with AI and Machine Learning Course Introduction Machine Learning Model Guidelines for Following the Machine Learning Workflow Guidelines for Formulating a Machine Learning Outcome Guidelines for Configuring a Machine Learning Toolset...
Follow a Machine Learning Workflow
by Renée Cummings- 0.0
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Approx. 20 hours to complete
This second course within the Certified Artificial Intelligence Practitioner (CAIP) professional certificate explores each step along the machine learning workflow, from problem formulation all the way to model presentation and deployment. Ultimately, this course provides a practical framework upon which you'll build many more machine learning models in the remaining courses. Guidelines for Selecting a Machine Learning Dataset...
A Crash Course in Data Science
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.5
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Approx. 7 hours to complete
In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. How statistics, machine learning, and software engineering play a role in data science Machine learning further reading Machine learning Machine learning Understand how Statistics and Machine Learning affect Data Science...
