Machine Learning

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Why this course ?

  • Cutting edge curriculum : Master advanced machine learning , Deep Learning and Neural Network
  • Hands-On offers quality education at scale in partnership with corporate & academics to offer a rigorous & industry relevant program.
  • DIPLOMA FROM HANDS-SYSTEM and ORSI : Earn a reputed Diploma without leaving your job
  • Get access to career guidance coaching services and get achieve to the right opportunities in right place

Program Duration
and Fees

Duration

N/A

Price

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Features

  • Advantages of attending the training
    Join the classroom/online training.
    Led by an expert instructor
    Expert instructor from corporate & academics to offer industry relevant program.
    Real-time answers
    Ask questions and get answers in real-time.Discuss, share, exchange ideas.

Description

• Supervised Learning setup
• Unsupervised Learning setup
• Reinforcement Learning setup
1. Nearest Neighbour
2. Linear Regression
3. Logistic Regression
4. Naive Bayes
5. Curse of Dimensionality
• Dimensionality Reduction
6. Statistical Parameter Estimation
7. Support Vector Machine
• SVM Dual
• Kernel Trick
• Multi-class SVM
DEEP LEARNING & NEURAL NETWORKS
8. Neural Networks
• Multi-layer Perceptrons
• Backpropagation
• Introduction to Deep Learning
• Convolutional Neural Networks
• Recurrrent Neural Networks

9. Decision Trees

10. Ensemble Methods
• Bagging
• Boosting
• Random Forest
Bias/variance trade off
1. Model selection and feature selection
2. Advice on applying machine learning
3. Evaluation Measures
1. Clustering. K-means
2. EM. Mixture of Gaussians
3. Factor analysis
4. PCA (Principal components analysis)
5. ICA (Independent components analysis)
1. MDPs. Bellman equations
2. Value iteration and policy iteration
3. Linear quadratic regulation (LQR). LQG
4. Q-learning. Value function approximation
1. Weakly-Supervised and Semi-Supervised Learning
2. Learning Theory
• VC dimensions
• generalization error bounds
• PAC Theory
3. Adversarial machine learning
• Generative Adversarial Networks (GANs)
4. Graphical Models

Curriculum

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Course Name: Machine Learning