Machine Learning at Scale
Description
Having an understanding of the concepts of machine learning, you will examine and apply the fundamentals of working with extremely large data sets. First, you will parallelize and perform MapReduce operations using Hadoop and Spark. Second, you will take a look at the fundamentals of deep learning and working with TensorFlow and Keras. You will focus on image and voice data and build deep neural network models. At the end of this module, you should be ready to take on a large-scale real-world project challenge. * successful completion of ML1010 is required to begin ML1020.
Note: Check with the institution regarding start/end dates, prices, and delivery method. These may vary according to program, section, and/or semester.
Related Programs
Overview

- Institution: York University
- Level: University
- Language: English
- Course Code: CSML1020
- Delivery Method: Blended/Hybrid Learning
Disclaimer:
Check with the institution regarding start/end dates, prices, and delivery method. These may vary according to program, section, and/or semester.
Check with the institution regarding start/end dates, prices, and delivery method. These may vary according to program, section, and/or semester.