WHAT YOU WILL LEARN
Perceive the construction and methods utilized in machine studying, deep studying, and reinforcement studying (RL) methods.
Describe the steps required to develop and take a look at an ML-driven buying and selling technique.
Describe the strategies used to optimize an ML-driven buying and selling technique.
Use Keras and Tensorflow to construct machine studying fashions.
SKILLS YOU WILL GAIN
- Finance
- Buying and selling
- Funding
- Machine Studying utilized to Finance
- Algorithmic Buying and selling
- Python Programming
- Machine Studying
- Reinforcement Studying Mannequin Improvement
- Reinforcement Studying Buying and selling Algorithm Optimization
- Reinforcement Studying Buying and selling Technique Improvement
- Reinforcement Studying Buying and selling Algo Improvement
About this Specialization
This 3-course Specialization from Google Cloud and New York Institute of Finance (NYIF) is for finance professionals, together with however not restricted to hedge fund merchants, analysts, day merchants, these concerned in funding administration or portfolio administration, and anybody considering gaining larger data of assemble efficient buying and selling methods utilizing Machine Studying (ML) and Python. Alternatively, this program may be for Machine Studying professionals who search to use their craft to quantitative buying and selling methods. By the top of the Specialization, you’ll perceive use the capabilities of Google Cloud to develop and deploy serverless, scalable, deep studying, and reinforcement studying fashions to create buying and selling methods that may replace and practice themselves. As a problem, you’re invited to use the ideas of Reinforcement Studying to make use of circumstances in Buying and selling. This program is meant for individuals who have an understanding of the foundations of Machine Studying at an intermediate degree. To efficiently full the workout routines throughout the program, you must have superior competency in Python programming and familiarity with pertinent libraries for Machine Studying, comparable to Scikit-Study, StatsModels, and Pandas; a strong background in ML and statistics (together with regression, classification, and primary statistical ideas) and primary data of economic markets (equities, bonds, derivatives, market construction, and hedging). Expertise with SQL is really helpful.
Utilized Studying Undertaking
The three programs will present you create varied quantitative and algorithmic buying and selling methods utilizing Python. By the top of the specialization, it is possible for you to to create and improve quantitative buying and selling methods with machine studying which you can practice, take a look at, and implement in capital markets. Additionally, you will learn to use deep studying and reinforcement studying methods to create algorithms that may replace and practice themselves.
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