MACHINE LEARNING

MACHINE LEARNING Course Details

Machine learning (ML) is a subset of artificial intelligence (AI) that enables systems to learn from data, identify patterns, and improve performance without being explicitly programmed. It uses algorithms to analyze data, make predictions, and adapt to new inputs. Key types include supervised, unsupervised, and reinforcement learning

                                                                    
                                                                      Duration:
                                                                    6 months

                                                                    
                                                                    Eligibility:
                                                                    ELIGIBILITY: Plus Two or equivalent examination recognized by this University with other subjects under Part III optional subjects provided they have secured 45% of the aggregate marks.

Job Sector

Technology: Software development, AI research, cloud services (e.g., Google, Amazon, Meta).
Finance & Banking: Fraud detection, risk assessment, algorithmic trading.
Healthcare & Pharma: Diagnostics, medical imaging, drug discovery.

E-commerce & Retail: Recommendation systems, dynamic pricing, customer demand forecasting.
Manufacturing: Predictive maintenance, industrial robotics.

Job Role

Machine Learning Engineer: Focuses on designing, building, and deploying ML models into production systems. They bridge data science and software engineering.
Data Scientist: Analyzes complex data, builds predictive models, and extracts insights to guide business strategy.

AI/ML Research Scientist: Develops new algorithms, improves existing techniques, and works on cutting-edge technologies like deep learning and NLP
. MLOps Engineer (Machine Learning Operations): Bridges the gap between data science and DevOps by managing, deploying, and monitoring ML models in production.

35 Minutes

Instructors

Jhon Pedrocas

Professor

Jhon Pedrocas

Professor

35 Minutes

Stephane Smith

4.5 256 Reviews

Phasellus enim magna, varius et commodo ut, ultricies vitae velit. Ut nulla tellus, eleifend euismod pellentesque vel, sagittis vel justo. In libero urna, venenatis sit amet ornare non, suscipit nec risus.

Was this review helpful?