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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 24 Hours 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

Coursera prescribes the Guided Tour of Machine Learning in Finance Certification Fee based on how many months the learners need to cover the online certification programme. The learners will also be provided with an EMI payment option to make the payment of the fee as well as a refund period of 14 days.

Guided Tour of Machine Learning in Finance Fee Structure

Duration	Amount in INR
1 Month	INR 3,177

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

Machine learning

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

Financial PlannerMachine Learning EngineerFinance ExecutiveChief Financial Officer

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

Practice Exercise

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

Practice Exercise

Module 2 Quiz

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

Practice Exercise

Module 3 Quiz

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

Practice Exercise

Module 4 Quiz

Instructors

NYU Frequently Asked Questions (FAQ's)

1: Which university developed and offered the Guided Tour of Machine Learning in Finance online course on Coursera?

The online certification programme was developed and provided to the learners on Coursera by New York University.

2: Which specialization did Coursera include the Guided Tour of Machine Learning in Finance online certification?

Coursera included the online course in Machine Learning and Reinforcement Learning in Finance Specialization.

3: In how many languages can the course be taken?

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.

4: Which level learners can join the Guided Tour of Machine Learning in Finance online course?

The intermediates level audience and learners are the targeted learning cohort for the online certification programme.

5: What are prerequisites mandatory by Coursera to take the courses?

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.