Summary: Students will gain critical skills in Python deep learning covering predictive analytics, Neural networks and algorithms, classifications and clusters in implementing Artificial Intelligence.
Module 1 (Python basics for data science):
- Python 3
- Jupyter basics and advanced
- Pandas basics and advanced
- Matplotlib for visualization
- Working with other tools such as Tableau, Big Query, cloud based tools etc.
Module 2 (Data science and Tensorflow):
- Intro to Tensor Flow
- Advanced Online learning: Regression
- Advanced Online learning: Classification with linear regression
- Advanced Online learning: Advanced classification with random forests, SVM etc.
- Text analytics intro: sentiment analysis and topic mining
- Advanced Online learning: hierarchical clustering, MDS
- Advanced Online learning: geospatial and other clustering topics
- Cluster visualization and graph explorations
Module 3 (Advanced ML with Neural Nets, Deep Learning):
- Intro to Neural Nets
- MLPs and applications
- Intro to deep learning (a history and survey of research)
- CNNs and application to image classification
- RNNs and application for audio analysis
- LSTMs for time-series prediction and anomaly detection
- GANs for image analysis and generating deep fake videos (project)
Contact Sales for further details.
Python Deep Learning
- Product Code: Python Deep Learning
- Availability: Pre-Order