Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
Machine learning certification course by edX primary stage starts from the core development of computer programs that can acquire data and use it to learn for themselves. The course served by edx will guide the candidate through various topics that include, matrix factorization, classification and regression, topic modelling, sequential models, clustering methods, and model selection. In the first half of the course, we will cover guided learning techniques for regression and classification.
We will explore several fundamental methods which will be essential for performing this task and optimizing it with algorithms. In the second half of the Machine learning training course, we will shift to unguided learning techniques, where the end output will be more unpredictable based on a corresponding input. Any student or professional with knowledge of undergraduate probability, statistics, linear algebra, calculus, probability, and statistical concepts can enroll in this course. The course has a tenure of 12 weeks, where only 8-10 hours per week can push the candidate towards excellence. Under the guidance of ColumbiaX (Columbia University) after successful completion, every student will get a verified certificate with the institution's logo. Also Read: Machine Learning Practical Applications
The Highlights
- 100% online learning
- Free of cost programme
- In associated with Columbia University
- A weekly time investment of 8 to 10 hours needed
- Course duration is of 12 weeks
- Certification by edX
- Shareable certificate
- Instructors from Columbia University
Programme Offerings
- Online exercises and assignments
- instructor led training
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 20692 | yes | Columbia University, New York |
- Course without a certificate is for free.
- Course with a certificate is priced at Rs. 20,692
Machine learning Fees Structure
Fee Category | Amount in Rupees |
Course without a certificate | Nil |
Course with certificate | Rs 20,692 |
Eligibility Criteria
Education
Candidates should have some knowledge in Calculus, Linear algebra, Probability, and statistical concepts, and Coding and comfort with data manipulation
Certification Qualifying Details
Candidates shall be awarded a Machine learning training certification by Edx. The candidates will have to complete the course and upgrade themselves by paying the specified amount to get the verified shareable certificate.
What you will learn
The candidates will be able to gain in-depth knowledge about machine learning after completion of the Machine learning certification syllabus. They will be able :
- To understand the concept and techniques of regression
- To develop the idea of supervised learning techniques for classification and regression
- Get an idea of supervised learning versus unsupervised learning
- Understand the methods of classification and regression
- Fundamental methods for performing algorithms for their optimization
- To learn the concepts of continuous state-space models
- Get a brief about abstract learning theory, and machine learning concepts.
Who it is for
The course is recommended for:
- People working in the machine field and wanting to brush their knowledge and in fact wants to pursue their career
- Freshers desire to gain an edge over others in the fields of machine learning and become ML Engineers, and Data Scientists.
Admission Details
The Machine learning training classes admission procedure is very easy , just the candidate has to navigate through the webpage as instructed below:
The following steps need to be followed for Machine learning admission:
Step 1: Click on the link of the official website https://www.edx.org
Step 2: Press the button, ‘Enroll Now’.
Step 3: Create an account or sign of the candidate and set a strong password for safety.
Step 4: After creating the account successfully the candidate will receive various information about the course.
The Syllabus
Instructors
Columbia University, New York Frequently Asked Questions (FAQ's)
The instructor of this course is John W. Paisley, Department of Electrical Engineering, Columbia University.
Machine learning is associated with Columbia University where the topics will be presented to illustrate its usefulness in the context of careers in data analysis.
This course is associated with MicroMastersProgram that deals with Artificial Intelligence
The main significance of this course is that it deals with supervised and unsupervised learning techniques.
This course is all about machine learning and algorithms and also the fundamental methods for performing the task and algorithms for their optimization.
There is no information about the refund policy as such because it won’t be possible to refund the whole amount of the certification course to the candidates if they don’t want to continue the course.
The certificate which the candidate will receive will surely be beneficial as it has the sign of the instructors and even the logo of the institution to verify the candidate’s achievement and even increase their job prospects.
This course will get covered in 12 weeks so the candidate needs to invest 8 to 10 hours each week to give details and make them understand machines and algorithms.
After the completion of the course, the candidate will get to know about the maximum likelihood estimation, logistic regression, non-negative matrix factorization, continuous state-space models