Exploring AI & Machine learning
- Search & adversarial problems
- Supervised learning models
- Applying machine learning
- Neural networking
- Constraint satisfaction problems
- Natural Language Processing
- Reinforcement & unsupervised learning
- Convolutional & recurrent Neural Network
Developing AI & Machine learning with Python & Java
- Machine learning & data analytics
- Neuroph framework & NLP implementation
- Expert systems & reinforcement learning
- Deep Learning & Neural Network Implementation
- Implementing ML Algorithm Using scikit-learn
- Robotic Process Automation
AI development with TensorFlow
- Simple Regression & Classification Models
- Building Autoencoders
- Sentiment Analysis with Recurrent Neural Networks
- Deep Neural Networks & Image Classification
- Word Embeddings
- K-means Clustering with TensorFlow
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