Machine Learning Training
Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so.
Machine learning uses various algorithms for building mathematical models and making predictions using historical data or information. Currently, it is being used for various tasks such as image recognition, speech recognition, email filtering, Facebook auto-tagging, recommender system, and many more
Prerequisites
- Statistics
- Linear Algebra.
- Calculus.
- Probability.
- Programming Languages
.
Upon Completion of this Course, you will accomplish following
- Understand a wide variety of learning algorithms.
- How to evaluate models generated from data.
- Apply the algorithms to a real problem, optimize the models learned and report on the expected accuracy that can be achieved by applying the models.
| Course Name | Course content | Duration(hrs) | Delivery Mode |
|---|---|---|---|
| Machine learning | 30 Hours | Online / In-class |
How does Machine Learning help a business?
- User behavior analysis.
- Improved automation.
- Security improvements.
- Financial management
- Cognitive services.
What qualities/skills in trainees help
- You need to have a good data intuition.
- You should be good at identifying patterns in the data.
- Able to create quick data visualizations (using R, Python, Matlab or Excel)
- Problem-solving proficiency
Job Heading
- Machine Learning Engineer
- Natural Language Processing Scientist
- Robotics Engineer
- Software Developer
- Data Scientist
- Cybersecurity Analyst
- Artificial Intelligence (AI) Engineer