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
Machine learning, which combines the areas of statistics, optimization, computing, and data mining, is being embraced across sectors due to its capacity to solve issues in the availability of large data sets. The Machine Learning: Practical Applications online course covers a wide spectrum of machine learning methodologies, with a focus on artificial intelligence in current business analytics.
Modern machine learning achievements include its use in commercial activities like recommendation systems (like Amazon and Netflix), search engines, and promotion. In financial companies, machine learning technologies are rapidly being utilized for algorithm-based trading, forecasting consumer behaviour, risk, and compliance. The Machine Learning: Practical Applications Training from the London School of Economics provides a systematic approach to artificial intelligence in current business statistics.
The Machine Learning: Practical Applications syllabus engages with real-world challenges by implementing various machine learning models to large datasets in R, interpreting the predictions, and evaluating these predictions to guide the business.
The Highlights
- London School of Economics offering
- Split option of payment
- Downloadable resources
- Online learning
- 8-10 hours per week
- Course provider Getsmarter
- Projects and assessments
- 8 weeks duration
- Shareable certificate
- Self-paced learning
Programme Offerings
- Case Studies
- quizzes
- online learning
- Offline resources
- Self-paced learning
- Infographics
- video lectures
- Live polls
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | LSE |
Machine Learning: Practical Applications Fees Structure
Fee type | Fee amount in INR |
Machine Learning: Practical Applications fees | Rs. 198,979 |
Eligibility Criteria
Certification Qualifying Details
To qualify for the Machine Learning: Practical Applications certification, students will have to complete the course modules, present assignments, and projects, and engage in online school work including examinations, research reports, quizzes, live polls, and other instructional materials. Evaluation of students is based on a series of submitted projects and assignments. All of the guidelines listed in the course manual must be met in order to be certified. At the time of admission, the coursebook will be given to candidates.
What you will learn
After completing the Machine Learning: Practical Applications online training, learners will gain the strength to make better-informed decisions and solve problems by understanding the various machine learning techniques to apply to a variety of data sets. Students will learn to use various techniques of machine learning such as variable selection, regression, shrinkage approaches, dimension reduction, classification, and unsupervised learning. Candidates will also learn about the most recent advances in artificial intelligence, such as neural networks, and how they may be implemented in the business environment, as well as improved statistics and mathematics skills and the fundamentals of coding in R.
Who it is for
- Mid to top-level managers, data experts, data analysts, consultants, and business and IT professionals involved in integrating artificial intelligence into an organization for efficient data analytics.
- Candidates interested in upskilling, moving into a machine learning job, or gaining a deeper knowledge of data science's commercial implications across sectors and business domains.
Admission Details
To get admission to the Machine Learning: Practical Applications online course, follow the steps mentioned below:
- Open the machine learning course webpage.
- Click the ‘Register Now’ button to start the enrolment
- Read the terms and conditions carefully and agree with them to continue
- Create a profile on the course provider’s website
- Fill in the billing address If someone is paying your fee, provide sponsor details
- Pay the amount of fee and start the course
The Syllabus
Instructors
LSE Frequently Asked Questions (FAQ's)
Speech recognition, image recognition, predictive analysis are the most used machine learning applications.
According to a report, almost every company is somehow using machine learning.
Machine learning is a field of computer science.
Machine Learning: Practical Applications course offered by LSE is one of the best courses for learning applications of machine learning.
The Machine Learning: Practical Applications course is 8 weeks long.