Fundamentals of Machine Learning in Finance (Coursera)

Fundamentals of Machine Learning in Finance (Coursera)

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Descripción de “Fundamentals of Machine Learning in Finance (Coursera)”

The course aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life that include: (1) understanding where the problem one faces lands on a general landscape of available ML methods, (2) understanding which particular ML approach(es) would be most appropriate for resolving the problem, and (3) ability to successfully implement a solution, and assess its performance.

A learner with some or no previous knowledge of Machine Learning (ML) will get to know main algorithms of Supervised and Unsupervised Learning, and Reinforcement Learning, and will be able to use ML open source Python packages to design, test, and implement ML algorithms in Finance.

Fundamentals of Machine Learning in Finance will provide more at-depth view of supervised, unsupervised, and reinforcement learning, and end up in a project on using unsupervised learning for implementing a simple portfolio trading strategy.

The course is designed for three categories of students:

Practitioners working at financial institutions such as banks, asset management firms or hedge funds

Individuals interested in applications of ML for personal day trading

Current full-time students pursuing a degree in Finance, Statistics, Computer Science, Mathematics, Physics, Engineering or other related disciplines who want to learn about practical applications of ML in Finance

Experience with Python (including numpy, pandas, and IPython/Jupyter notebooks), linear algebra, basic probability theory and basic calculus is necessary to complete assignments in this course.

Course 2 of 4 in the Machine Learning and Reinforcement Learning in Finance Specialization.

Syllabus

WEEK 1: Fundamentals of Supervised Learning in Finance

WEEK 2: Core Concepts of Unsupervised Learning, PCA & Dimensionality Reduction

WEEK 3: Data Visualization & Clustering

WEEK 4: Sequence Modeling and Reinforcement Learning

Especificaciones: Fundamentals of Machine Learning in Finance (Coursera)

Curso ofrecido por
Disponibilidad

✔ Disponible

Plataforma

Universidad

Impartido por

Igor Halperin

País

USA

Nivel, duración y fechas
Nivel

Intermedio

Fecha

04/05/2020

Duración

4 semanas

Tiempo necesario

4-5 horas/semana

Idioma del curso
Idioma vehicular

Inglés

Subtítulos

Inglés

Exámenes y Certificados
Certificados

Certificado de Pago

Exámenes/Proyectos

Con Examen/Proyecto Final de pago

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Fundamentals of Machine Learning in Finance (Coursera)
Fundamentals of Machine Learning in Finance (Coursera)

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