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Course Outline
Introduction
What is AI
- Computational Psychology
- Computational Philosophy
Machine Learning
- Computational learning theory
- Computer algorithms for computational experience
Deep Learning
- Artificial neural networks
- Deep learning vs. machine learning
Preparing the Development Environment
- Setting up Python libraries and Apache Spark
Recommendation Systems
- Building a recommender engine frameworks
- Testing and evaluating algorithms
Collabrative Filtering
- Working with user-based and content-based filtering
- Working with neighbor-based filtering
- Using RBMs
Matrix Factorization
- Using and extending PCA
- Running and improving SVD
- Working with Keras and deep learning neural networks
Scaling with Spark
- Using RDDs and dataframes
- Setting up clusters on AWS / EC2
- Scaling Amazon DSSTNE and SageMaker
Summary and Conclusion
Requirements
- Python programming experience
Audience
- Data Scientists
14 Hours
Testimonials (5)
The fact of having more practical exercises using more similar data to what we use in our projects (satellite images in raster format)
Matthieu - CS Group
Course - Scaling Data Analysis with Python and Dask
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Monika - Procter & Gamble Polska Sp. z o.o.
Course - Developing APIs with Python and FastAPI
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
Course - Build REST APIs with Python and Flask
Trainer develops training based on participant's pace
Farris Chua
Course - Data Analysis in Python using Pandas and Numpy
As I was the only participant the training could be adapted to my needs.
