Amazon SageMaker Pipelines is the first purpose-built, easy-to-use continuous integration and continuous delivery (CI/CD) service for machine learning (ML). With SageMaker Pipelines, you can create, automate, and manage end-to-end ML workflows at scale.
Amazon SageMaker Pipelines is the first purpose-built, easy-to-use continuous integration and continuous delivery (CI/CD) service for machine learning (ML). With SageMaker Pipelines, you can create, automate, and manage end-to-end ML workflows at scale.
Orchestrating workflows across each step of the machine learning process (e.g. exploring and preparing data, experimenting with different algorithms and parameters, training and tuning models, and deploying models to production) can take months of coding.
The Machine Learning Pipeline on AWS 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.
Trainocate is an AWS Authorized Training Partner as well as the AWS Global Training Partner of the Year 2022 is trusted by AWS to offer, deliver, and/or incorporate official AWS Training, including classroom and digital offerings. Whether your team prefers to learn from live instructors, on-demand courses, or both, ATPs offer a breadth of AWS Training options for learners of all levels.
Skills Covered:
Worldwide Leader in Technology, Business and People Training. From Asia To The World. Trainocate Malaysia is the new and exciting development of the 25-year old establishment – Global Knowledge.
The name Trainocate is inspired from the term “Training Advocate” which resonates the feeling of continuous learning, something that each member of the Trainocate team carries with them.
We are in the business of empowering work forces in the Asia-Pacific region by maximising their capabilities through knowledge acquirement. This not only helps with improving work performance but also, explores untapped potential within each individual.
We deliver training programs and certifications that fall in the area of Technology, Business and People Skills. 25 years of experience in this industry equates to 25 years of bettering ourselves to ensure we deliver only the best training programs to our loyal clients both in the area of Technology as well as People Skills.
Amazon Sage Maker Pipelines is the first purpose-built, easy-to-use continuous integration and continuous delivery (CI/CD) service for machine learning (ML). With SageMaker Pipelines, you can create, automate, and manage end-to-end ML workflows at scale.
Machine Learning is the science of getting computing systems to act with minimal human Intervention. Such systems change behaviors without being explicitly programmed. It is nothing but automation of Feature Engineering.
This is an introductory programme on machine learning using scikit-learn and scipy for structured data, and common text processing methods. It has been designed for participants who aim to understand the possible applications of these techniques in their respective organisations.
As a subset of artificial intelligence (AI), machine learning (ML) is a field of computer science that focuses on the analysis and interpretation of patterns and structures in data to achieve learning, reasoning and decision making outside of human interaction.
Machine Learning and Deep Learning course is offered by AA Knowledge Malaysia Sdn Bhd. We fill needs creatively and seek new ways of looking at old problems.  By promoting learning, research, and education, we contribute to the advancement of education and training.
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