Machine Learning, a foundational mechanism enabling Artificial Intelligence (AI), is one of the most empowering fields within IT today. Unfortunately, many organizations struggle to provide their teams with the level of understanding and skill required to effectively use this breakthrough technology. In this eBook, we'll explore how to empower your team with machine learning skills that will drive innovation for your business.
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Learn MoreTrack your progress as you move through machine learning (ML) training developed by AWS Training and Certification.
Organizations are struggling to find data scientists and developers with machine learning experience. Learn how you can become the machine learning problem-solver others look to.
In this webinar, prepare for the AWS Certified Machine Learning - Specialty exam by exploring its topic areas and how they map to machine learning on AWS.
A variety of resources to help you build your machine learning skills including carefully selected digital training, classroom courses, videos, whitepapers, certifications and more.
Infographic for team leaders on the 5 reasons to upskill your team in machine learning.
55:13Learn how you can unlock new insights and value for your business using machine learning.
1:02:14Learn how Amazon SageMaker mitigates the core challenges of implementing a machine learning pipeline.
57:37Episode 1: Getting Started with Machine Learning In this episode, you'll meet your hosts and jump into the basics of Machine Learning (ML). What is it, and why does it seem like everyone is talking a
1:01:05Episode 2: Machine Learning End to End This week, you'll increase your understanding of the ML process, from end to end. Using one consistent example, we'll start with a clear business problem and yo
1:00:15Episode 3: Machines Can Learn?! Now that you've covered some of the basics, it's time to start thinking about how machines learn. You'll follow a naïve example to understand what a model is, and lear
56:50Episode 4: Love Your Data This episode, we'll talk about all things data - cleaning it, preparing it, and more. You'll even learn how to do some exploratory data analysis so that you can develop your
57:32Episode 5: Tear-Free Algorithms Algorithms don't have to be as scary as they sound. You'll learn some popular algorithms and their use cases so you can start to develop your understanding. You'll als
51:45Episode 6: ML in the Real World Let's explore a real-world use case of machine learning in Amazon Alexa and beyond.
1:01:00Episode 7 - Is My Model Good Enough? Once you've built a model, how will you know if it's good enough? Here you'll learn to apply different methods of evaluation and what metrics you should use.
53:00Episode 8: Ready for Production What do you do when it's time to wrap everything up and send your model to production? We'll show you what that looks like and how you can get started.
