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 algorithms use historical data as input to predict new output values.
Recommendation engines are a common use case for machine learning. Other popular uses include fraud detection, spam filtering, malware threat detection, business process automation (BPA) and predictive maintenance.
Topic Name | No. of Videos | No. of Questions |
---|---|---|
Introduction | 6 | 100 |
Linear Regression with One Variable | 1 | 100 |
Linear Algebra Review | 5 | 100 |
Linear Regression with Multiple Variables | 2 | 100 |
Octave/Matlab Tutorial | 5 | 100 |
Logistic Regression | 3 | 100 |
Regularization | 5 | 100 |
Neural Networks: Representation | 2 | 100 |
Neural Networks: Learning | 6 | 100 |
Advice for Applying Machine Learning | 3 | 100 |
Machine Learning System Design | 4 | 100 |
Support Vector Machines | 7 | 100 |
Unsupervised Learning | 8 | 100 |
Dimensionality Reduction | 2 | 100 |
Anomaly Detection | 6 | 100 |
Large Scale Machine Learning | 5 | 100 |
Application Example: Photo OCR | 1 | 100 |
Problem Solving
Rs. 399
English & Verbal
Rs. 399
Presentation & Interview
Rs. 399
Coding with Java
Rs. 180
TISS NET
Rs. 1599
Campus Hiring Skills
Rs. 999
SBI PO
Rs. 999
IBPS Clerk - Rs. 50
Rs. 0
0
Mock TCS Digital - Rs. 50
Rs. 0
0
CAT - Rs. 50
Rs. 0
0