Training AWS_MLP_Z
Accreditation
Training
Price of training from PLN 6,400 net
Lowest price in the last 30 days: PLN 6,400 net
Language: polish
*the price depends, among others on the form of training and the date
Additional products
No additional books or exams are specified for this training.
Czas trwania: 32h dydaktyczne
This course explores how to the use of the iterative machine learning (ML) process pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the process pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Learners with little to no machine learning experience or knowledge will benefit from this course. Basic knowledge of Statistics will be helpful.
We recommend that attendees of this course have:
Module 0: Introduction
Module 1: Introduction to Machine Learning and the ML Pipeline
Module 2: Introduction to Amazon SageMaker
Module 3: Problem Formulation
Checkpoint 1 and Answer Review
Module 4: Preprocessing
Checkpoint 2 and Answer Review
Module 5: Model Training
Module 6: Model Evaluation
Checkpoint 3 and Answer Review
Module 7: Feature Engineering and Model Tuning
Module 8: Deployment
Filters:
Training: AWS_MLP_Z
The Machine Learning Pipeline on AWS
Currently, there is no trainings in the selected form.
Cykl online’owych spotkań, podczas których przybliżamy nowe kierunki rozwoju metod zarządzania usługami IT, jak również najciekawsze zagadnienia obszaru programowania, zarządzania Read more
Zadzwoń do nas: tel. 801 30 30 30