Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
In the Machine Learning Fundamentals certification course by edX using real-world problem statements students will learn to figure out the features of topics in the corpus, classify the given images, group people according to various profiles depending on their personality and also capture the semantic structure of words available. With the information learnt in the Machine Learning Fundamentals training, the students will learn to analyze different types of data and also they will be able to build predictive and descriptive models. The Machine Learning Fundamentals certification has the following included in its curriculum- conditioned probability, linear models, random forests, reduction, bagging, and many other topics that deal with the domain of machine learning.
The examples that will be provided in the Machine Learning Fundamentals programme will be in the language of Python and will use Jupyter Notebooks. The candidates will also be practising various types of algorithms using data science and its applied tools. The Machine Learning Fundamentals online course will provide students with both discriminating and generative models. There are 2 tracks namely the audit track and the verified track into which the candidates may enrol. The candidates may access the course for a lifetime by paying a fee which is called the verified track, and the audit track asks for no fees but offers limited period access to the course.
The Highlights
- Course partner by UC San Diego
- Free registration
- Certificate by edX
- 10 weeks course
- Advanced level programme
- Self-paced learning with limited audit access
- Professional certificate
Programme Offerings
- E-learning
- assignments
- Transcripted video
- Lectures
- Projects
- Expert Faculty
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| USD 350 | yes | UC San Diego |
Machine Learning Fundamentals certification fees :
Particulars | Amount |
Audit fees | Nil |
Certificate fees | $ 350 |
Eligibility Criteria
Education
Before applying to the course, the students need to have previous knowledge of DSE200x and DSE210x. They also need to have knowledge in integration on the subject of- multivariate calculus and linear algebra in order to apply for Machine Learning Fundamentals certification.
Certification Qualification Details
To procure the Machine Learning Fundamentals certification by edX it is mandatory that the students upgrade their course.
What you will learn
Applicants will be learning the following after the course comes to an end-
- Students will learn about classifications so that they can use the knowledge in conditional probability in the Machine Learning Fundamentals certification syllabus
- The candidates will learn about the various models pertaining to linear models so that they can efficiently use Kernel methods
- The method of assembling will also be learnt by the students so that they know about random forests and boosting under the Machine Learning Fundamentals certification syllabus
- The extensions of non linearity will be learnt by the students
- The students will also learn about the tricks that are involved in estimating probability.
- The methods of generative modeling will be taught to students so that they can frame professional models in data analysis.
- The topic of geometry will be further elaborated on to the students so that they can solve the questions easily under the Machine Learning Fundamentals online course.
- The details of “decision trees” will also be covered by the students during the Machine Learning Fundamentals programme.
- He/she will also learn about the supporting vector machines so that they can create solution statements in the Machine Learning Fundamentals certification syllabus.
- In the course, students will study semi definite matrices that are included in algebra.
Who it is for
Machine Learning Fundamentals by edX Programme is for-
- Students who already have done their graduation in the subject of linear algebra should apply for the Machine Learning Fundamentals programme for more learning.
- Candidates who are willing to study the basic feature of statistics and its uses in data analysis should get themselves enrolled to become ML Engineers.
Admission Details
For filling up the form for the Machine Learning Fundamentals classes, students need to follow the given steps -
Step 1: Please visit the site to get the form -
https://www.edx.org/learn/machine-learning/the-university-of-california-san-diego-machine-learning-fundamentals
Step 2: In the application, form space has been provided for the students to mention their “full name”.
Step 3: It is necessary for the candidate to mention their “username” in the Machine Learning Fundamentals programme form.
Step 4: For creating the private account the students now have to mention their mail addresses.
Step 5: Students are requested to go through the company policies and give their acknowledgement to them.
Step 6: The students can submit the form by clicking the icon called “Apply now”.