Understand the concepts of Machine Learning
Machine Learning is not a new field but it has received a lot of attention in recent years as an important tool when it comes to handling big data and building the AI applications of the future. Machine Learning models are now being used to solve many different problems, from predicting when industrial machinery needs replacement to focusing cameras on mobile phones.
With machine learning it becomes possible to build systems that improves with more data, which is a fundamentally different approach compared to traditional rule-based programming. This course will introduce the concepts of machine learning to allow participants to recognize problems that are best approached with machine learning.
The course has a number of hands-on exercises that will allow participants to gain practical experience with training and evaluating machine learning models for a range of different types of problems.
Course agenda
The two-day course will be instructor led with hands-on exercises. The focus will be on giving the participants the knowledge and the confidence to apply machine learning to problems that they face in their own work. The course will touch ...
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... upon many aspects of machine learning, but emphasis will be on classification tasks
Participants are expected to bring own laptop to the class, everything else needed for course is provided. The hands-on exercises will be browser-based, so there is no need to install software, but participants should either have or be willing to sign-up for a free Google account.
Day 1
- Concepts of Machine Learning
- Data preparation
- Logistic regression
- Overfitting
- Python, NumPy, Tensorflow
- Multilayer perceptron
Day 2
- Working with natural language
- Bag of words
- Deep Learning
- Image recognition
- Neural networks
