Guided Tour of Machine Learning in Finance
Explore the application of machine learning in finance by joining the online machine learning courses offered by Coursera.
Intermediate
Online
2 Weeks
1,699 INR Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Guided Tour of Machine Learning in Finance is offered by Coursera for intermediate-level students and learners to know the application of machine learning in finance. The online programme is the first programme in the Machine Learning and Reinforcement Learning in Finance Specialization offered by New York University and the Guided Tour of Machine Learning in Finance Certification Course can also be taken as a separate single programme.
Provided by Coursera, Guided Tour of Machine Learning in Finance Training will shed light on machine learning and the application of ML to cope with various financial problems. Though the Guided Tour of Machine Learning in Finance Certification by Coursera is offered for intermediate learners, it is very needed for the learners to have an understanding and experience of Python, linear algebra, basic probability theory, and basic calculus to successfully complete the assignments.
The Highlights
- Provided by Coursera
- Offered by New York University
- Self-Paced Learning Option
- 100% Online Course
- Around 2 weeks to Complete
- Flexible Deadlines
- Shareable Certificate
- Financial Aid Available
Programme Offerings
- English videos with multiple subtitles
- Shareable Certificate
- Financial aid available
- Shareable Certificates
- Self-Paced Learning Option
- Course Videos & Readings
- practice quizzes
- Graded Assignments with peer feedback
- graded Quizzes with feedback.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | NYUCoursera |
The fees for the course Guided Tour of Machine Learning in Finance is -
| Head | Amount in INR |
| 1 month | Rs. 1,699 |
| 3 month | Rs. 3,499 |
| 6 month | Rs. 5,199 |
Eligibility Criteria
Work Experience
Coursera suggests that learners must have experience with basic probability theory, basic calculus, linear algebra, and Python to be able to complete the assignments assigned to them as part of the online course.
What you will learn
Guided Tour of Machine Learning in Finance Certification Syllabus will guide you through machine learning concepts, the application of machine learning to Finance, the process of solving financial problems with the help of machine learning, and the like. Likewise, the course will facilitate the students to know the advances in financial machine learning, deep learning in finance, machine learning for finance in python, and many more. Plus, the learners will have practical knowledge through capstone projects where the learners will be assigned to make predictions of bank closures using the Supervised Machine Learning methods.
Who it is for
Guided Tour of Machine Learning in Finance Classes is highly suggested for those who want to know ML and its implications in the finance sector including ML Engineer, Finance Executive, Financial Planner, and Chief Financial Officer.
Admission Details
Step 1 - Browse the official URL
https://www.coursera.org/learn/guided-tour-machine-learning-finance
Step 2 - Click ‘Enrol Now’ and start taking the online programme.
The Syllabus
Videos
- Welcome Note
- Specialization Objectives
- Specialization Prerequisites
- Artificial Intelligence and Machine Learning, Part I
- Artificial Intelligence and Machine Learning, Part II
- Machine Learning as a Foundation of Artificial Intelligence, Part I
- Machine Learning as a Foundation of Artificial Intelligence, Part II
- Machine Learning as a Foundation of Artificial Intelligence, Part III
- Machine Learning in Finance vs Machine Learning in Tech, Part I
- Machine Learning in Finance vs Machine Learning in Tech, Part II
- Machine Learning in Finance vs Machine Learning in Tech, Part III
Readings
- The Business of Artificial Intelligence
- How AI and Automation Will Shape Finance in the Future
- A. Geron, “Hands-On Machine Learning with Scikit-Learn and TensorFlow”, Chapter 1
Quiz
- Module 1 Quiz
Videos
- Generalization and a Bias-Variance Tradeoff
- The No Free Lunch Theorem
- Overfitting and Model Capacity
- Linear Regression
- Regularization, Validation Set, and Hyper-parameters
- Overview of the Supervised Machine Learning in Finance
Readings
- I. Goodfellow, Y. Bengio, A. Courville, “Deep Learning”, Chapters 4.5, 5.1, 5.2, 5.3, 5.4
- Leo Breiman, “Statistical Modeling: The Two Cultures”
- Jupyter Notebook FAQ
Quiz
- Module 2 Quiz
Programming Assignment
- Euclidean Distance Calculation
Ungraded Lab
- Euclidean Distance Calculation
Videos
- DataFlow and TensorFlow
- A First Demo of TensorFlow
- Linear Regression in TensorFlow
- Neural Networks
- Gradient Descent Optimization
- Gradient Descent for Neural Networks
- Stochastic Gradient Descent
Readings
- A.Geron, “Hands-On ML”, Chapter 9, Chapter 4 (Gradient Descent)
- E. Fama and K. French, “Size and Book-to-Market Factors in Earnings and Returns”, Journal of Finance, vol. 50, no. 1 (1995), pp. 131-155.
- J. Piotroski, “Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers”, Journal of Accounting Research, Vol. 38, Supplement: Studies on Accounting Information and the Economics of the Firm (2000), pp. 1-41
- Jupyter Notebook FAQ
Quiz
- Module 3 Quiz
Programming Assignment
- Linear Regression
Ungraded Lab
- Linear Regression
Videos
- Regression and Equity Analysis
- Fundamental Analysis
- Machine Learning as Model Estimation
- Maximum Likelihood Estimation1
- Probabilistic Classification Models
- Logistic Regression for Modeling Bank Failures, Part I
- Logistic Regression for Modeling Bank Failures, Part II
- Logistic Regression for Modeling Bank Failures, Part III
- Supervised Learning: Conclusion
Readings
- C. Bishop, “Pattern Recognition and Machine Learning”, Chapters 4.1, 4.2, 4.3
- A. Geron, “Hands-On ML”, Chapters 3, Chapter 4 (Logistic Regression)
- Jupyter Notebook FAQ
- Jupyter Notebook FAQ
Quiz
- Module 4 Quiz
Programming Assignment
- Tobit Regression
- Course Project
Ungraded Lab
- Tobit Regression
- Course Project
Instructors
NYU Frequently Asked Questions (FAQ's)
The online certification programme was developed and provided to the learners on Coursera by New York University.
Coursera included the online course in Machine Learning and Reinforcement Learning in Finance Specialization.
The online programme can be pursued in different languages as Coursera provides the subtitles for the course videos in French, Portuguese (European), Russian, and Spanish other than English.
The intermediates level audience and learners are the targeted learning cohort for the online certification programme.
Coursera mandates that experience with basic calculus Python, linear algebra and basic probability theory is very essential to complete the course successfully as they are needed to finish the assignments fully.