AI Online Training in Hyderabad
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Course Structure
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Course's Key Highlights
Module 1 – Introduction To Machine Learning:
Basic Concept:
- Train,Test & Validation Distribution
- ML Strategy
- Computation Graph
- Evaluation Metric
- Human Level Performance
Module 2 – Machine Learning:
Supervised:
- Linear Regression
- Logistic Regression
- Gradient Descent
- Decision Tree
- Random Forest
- Bagging & Boosting
- KNN
Unsupervised
- K-Means
- Hierarchical Clustering
Module 3 – Python Programming:
Python
- Basic Programming
- NLP Libraries
- Open CV
Module 4 – Mathematics Foundation:
Basic Statistics
- Sampling & Sampling Statistics
- Hypothesis Testing
Calculus
- Derivatives
- Optimization
Linear Algebra
- Function
- Scalar-Vector-Matrix
- Vector Operation
Probability
- Space
- Probability
- Distribution
Module 5 – Data Processing:
Environment
- Scikit Learn
- NLTK
- Spacy & Gen sim
- Open CV
- Tensorflow
- Keras
Text Processing
- Representation
- Data Cleaning
- Data Preprocessing
- Similarity
Image Processing
- Image
- Image Transformation
- Filters
- Noise Removal
- Correlation & Convolution
- Edge Detection
- Non Maximum Suppression & Hysteresis
- Fourier Domain
- Video Processing
Speech Data Analytics
Feature Extraction
- Image Feature
- Descriptors
Object Detection
- Detection & Classification
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