This course aims at providing an introductory and broad overview of the field of ML with the focus on applications on Finance. Supervised Machine Learning methods are used in the capstone project to predict bank closures. Simultaneously, while this course can be taken as a separate course, it serves as a preview of topics that are covered in more details in subsequent modules of the specialization Machine Learning and Reinforcement Learning in Finance.
Guided Tour of Machine Learning in Finance
Guided Tour of Machine Learning in Finance
This course is part of Machine Learning and Reinforcement Learning in Finance Specialization
Instructor: Igor Halperin
37,412 already enrolled
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Gain insight into a topic and learn the fundamentals.
3.8
(679 reviews)
Intermediate level
Some related experience required
Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
82%
Most learners liked this course
Skills you'll gain
- Reinforcement Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Supervised Learning
- Machine Learning Algorithms
- Machine Learning
- Deep Learning
- Applied Machine Learning
- Artificial Neural Networks
- Financial Modeling
- FinTech
- Predictive Modeling
- Tensorflow
- Regression Analysis
- Jupyter
- Scikit Learn (Machine Learning Library)
Details to know
Shareable certificate
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Assessments
4 assignments
Taught in English
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This course is part of the Machine Learning and Reinforcement Learning in Finance Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
What's included
11 videos3 readings1 assignment
What's included
6 videos3 readings1 assignment1 programming assignment1 ungraded lab
What's included
7 videos4 readings1 assignment1 programming assignment1 ungraded lab
What's included
9 videos4 readings1 assignment2 programming assignments2 ungraded labs
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Instructor
Instructor ratings
3.9 (78 ratings)Offered by
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3.8
679 reviews
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Showing 3 of 679
KY
4
Reviewed on Apr 18, 2021
Great overview. Please provide more code examples as homework require a lot more than what the class covers!
CO
4
Reviewed on Apr 19, 2019
Very Difficult - Impossible to succeed without very strong prior experience. Would deserve more guidelines
KN
5
Reviewed on Jul 26, 2022
Great course. but requires lot of patience. Uses lot of unnecessary symbols and equations to explain concepts. Overall it is a good overview of the big picture of ML in finance.
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