Online or onsite, instructor-led live Unsupervised Learning training courses demonstrate through interactive hands-on practice how to use unsupervised machine learning techniques to discover patterns, group data, and extract meaningful insights from unlabeled datasets.
Unsupervised Learning training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Cape Town onsite live Unsupervised Learning trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
Unsupervised Learning is also known as Unsupervised Machine Learning.
NobleProg -- Your Local Training Provider
Cape Town - City Lodge Hotel Victoria and Alfred Waterfront
Corner Dock Road and Alfred Street, Cape Town, South Africa, 8001
City Lodge V & A Waterfront is conveniently located close to Cape Town International Airport. The business centre has free WIFI and NobleProg has use of their modern meeting rooms which can accommodate a maximum of 10 delegates, providing a comfortable training environment.
This instructor-led, live training in Cape Town (online or onsite) is aimed at beginner to intermediate-level data analysts and data scientists who wish to use Weka to perform data mining tasks.
By the end of this training, participants will be able to:
This instructor-led, live training in Cape Town (online or onsite) is aimed at engineers, data scientists, and data analysts who wish to use Dataiku DSS for the development of machine learning pipelines, and leverage AI processes in generating strategic organizational initiatives.
By the end of this training, participants will be able to:
Install and configure Dataiku DSS upon their preferred operating system.
Understand AI/ML concepts and principles that are fundamental to Dataiku features.
Create and implement their own data visualization codes in Dataiku DSS projects.
Deploy ML models and pipelines into production environments built around Dataiku DSS.
Optimize the agility and flexibility of data analysis methods of their enterprise applications.
Utilize Dataiku DSS to secure and manage how data flows through further business systems.
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