Machine Learning with Azure

Course Instructor
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Manisha Sule
Manisha Sule is the Big Data Analytics instructor at Linux Academy. Prior experience includes working at IBM's Spark Technology Center and IBM Analytics. She has worked with customers, data scientists and data engineers to educate and enable them on Big Data technologies like Apache Spark. She has a Masters in Computer Science and more than a decade worth's experience in building highly distributed and highly available software solutions.


This course begins with explaining the need of Machine Learning and how it originated from Aritificial Intelligence and gave rise to deep learning. We explain important concepts in ML including categories of algorithms, statistical and computer science terms used in model creation, feature engineering, overfitting, generalization, underfitting and cross validation. We also dive into the topic of data science and discuss why ML is an important part of data science.

The course then provides hands on training on Azure Machine Learning, giving a tour of ML Studio, its various features and the concept of an experiment. We demonstrate the process of creating ML experiments and create predictive models to predice automobile prices and generate recommendations for movies.

The exercises in this course allow the student to get familiar with Azure Machine Leaning and gain confidence in exploring the tool further.

Study Guides

Machine Learning with Azure

This guide presents the slides used in the course "Machine Learning with Azure".

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