Machine Learning & Artificial Intelligence (AI)
Machine learning is the subfield of computer science that, according to Arthur Samuel, gives “computers the ability to learn without being explicitly programmed.” Samuel, an American pioneer in the field of computer gaming and artificial intelligence, coined the term “machine learning” in 1959 while at IBM.
Artificial Intelligence
- Introduction to Artificial Intelligence
Machine Learning
- Introduction to Machine Learning
- Applications of Machine Learning
- Artificial Intelligence & Machine Learning
- Database Mining & Machine Learning
- Supervised Learning Introduction & Examples
- Unsupervised Learning Introduction & Examples
- Linear Regression & implementation
- Introduction to Gradient Descent Algorithm
- Linear Algebra review
- Introduction to Neuron
- Introduction to Network Architecture
- Designing Neural Network Model
- Model Representation Methods
- Single Layer Neural Network
- Multilayer Neural Network Architecture
- Training the Network
- Backward Propagation Training
- Using the Network
- Importing & Exporting Network
- Importing & Exporting Training Data
Introduction to Neural Network
- Introduction to Dynamic Neural Network
- Neural Network Blocks
Examples and applications
- Case Study: Character Recognition
- Case Study: Iris Clustering
- Case Study: Sales Prediction
Charges:
The Charges includes:
- Handouts and training material
- Certificate of Excellence from ECell IIT Kharagpur & Robotech Labs
Certification:
Certificate of Excellence from ECell IIT Kharagpur & Robotech Labs
To Organize this workshop in your college Click here & Fill the form.
9540 93 2700
