Foundational machine learning techniques - from data manipulation to unsupervised and supervised algorithms.
Bertelsmann's tech scholarships on the online education platform Udacity to strengthen people’s tech skills. Specifically, the Group is funding 15,000 tech scholarships for Challenge Courses in Cloud, Data and AI. In addition, the top 1,600 participants will receive a scholarship for a full Nanodegree in their selected subject area.
Finding Donors Project
CharityML is a fictitious charity organization established to provide financial support for people eager to learn ML . After nearly 32,000 letters were sent to people in the community, CharityML determined that every donation they received came from someone that was making more than $50,000 annually.
Goal: To determine best algorithm that will provide the highest donation yield.
Image Classifier Project
Going forward, AI algorithms will be incorporated into more and more everyday applications. For example, you might want to include an image classifier in a smart phone app. To do this, you'd use a deep learning model trained on hundreds of thousands of images as part of the overall application architecture.
Goal: Train an image classifier to recognize different species of flowers.
Identify Customer Segments
Bertelsmann partners AZ Direct and Arvato Financial Solutions have provided two datasets one with demographic information about the people of Germany, and one with that same information for customers of a mail-order sales company.
Goal: Look at relationships between demographics features, organize the population into clusters, and see how prevalent customers are in each of the segments obtained.
