Start Your Career in Machine Learning for Trading. Learn the machine learning techniques used in quantitative trading.

Instructor: Jack Farmer

What you'll learn

  •   Understand the structure and techniques used in machine learning, deep learning, and reinforcement learning (RL) strategies.
  •   Describe the steps required to develop and test an ML-driven trading strategy.
  •   Describe the methods used to optimize an ML-driven trading strategy.
  •   Use Keras and Tensorflow to build machine learning models.

    • Skills you'll gain

  •   Market Trend
  •   Technical Analysis
  •   Google Cloud Platform
  •   Tensorflow
  •   Time Series Analysis and Forecasting
  •   Financial Market
  •   Artificial Neural Networks
  •   Applied Machine Learning
  •   Financial Trading
  •   Portfolio Management
  •   Machine Learning
  •   Machine Learning Methods

    • Specialization - 2 course series

    The three courses will show you how to create various quantitative and algorithmic trading strategies using Python. By the end of the specialization, you will be able to create and enhance quantitative trading strategies with machine learning that you can train, test, and implement in capital markets. You will also learn how to use deep learning and reinforcement learning strategies to create algorithms that can update and train themselves.

    Reinforcement Learning for Trading Strategies

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