ASQ CSSBB Certified Six Sigma Black Belt – Control

1. Lean Controls In this video, let us discuss about control phase. Control phase overview and objectives. By the end of this phase, you’ll be able to define lean controls, explain statistical process control, describe six sigma control plans, lean controls, lean control session overview and objectives. By the end of this session you’ll be… Read More »

ASQ CSSBB Certified Six Sigma Black Belt – Analyze

1. Pattern of Variation In this video we will discuss about analyze phase. Analyze Phase Overview and Objectives By the end of this phase, you’ll be able to explain the different patterns of variation. Describe inferential statistics illustrate hypothesis testing perform the different hypothesis tests for normal data perform the different hypothesis tests for nonnormal… Read More »

Amazon AWS Certified Machine Learning Specialty – Modeling Part 16

44. Lab: Tuning a Convolutional Neural Network on EC2, Part 2 And we’re ready to go. So let’s go ahead and execute this first block of code here. First thing we need to do is import TensorFlow itself in the packages that we need. Again, the Python code itself is not important here. You will… Read More »

Amazon AWS Certified Machine Learning Specialty – Wrapping Up

1. Section Intro: Wrapping Up I’m happy to say you’ve gotten through all the hard stuff. All that’s left is to give you some more specific guidance on what to expect on the actual certification exam and some other resources that you might want to study up on before you take it. As we said… Read More »

Amazon AWS Certified Machine Learning Specialty – Modeling Part 15

41. The Best of the Rest: Other High-Level AWS Machine Learning Services Let’s quickly go through some other machine learning services that will probably not be covered a whole lot on the exam, but are still worth knowing about just in case. First of all, we have Amazon Personalized, and this is a new service… Read More »

Amazon AWS Certified Machine Learning Specialty – Modeling Part 14

38. Amazon Rekognition Next, let’s talk about Amazon recognition, which is, again, what it sounds like. It’s computer vision, and its main purpose is object and scene detection, hence the name recognition. So this stuff is worth remembering. There’s a lot of stuff it can do in the field of computer vision that’s all wrapped… Read More »

Amazon AWS Certified Machine Learning Specialty – Modeling Part 13

34. Amazon Comprehend Up next, we’re going to go outside the world of Amazon, Sage Maker and into the higher level AI and ML services that AWS offers. These are services that aren’t really geared toward machine learning experts. They’re really more for anyone who just wants to use ML capabilities. So you don’t necessarily… Read More »

Amazon AWS Certified Machine Learning Specialty – Modeling Part 12

32. Automatic Model Tuning Let’s talk about automatic model tuning within Sage Maker, which is a very exciting capability of the Sage Maker system. So hyper parameter tuning is kind of a really big problem in the world of machine learning. So for all these algorithms we talked about, we’ve talked about the different hyper… Read More »

Amazon AWS Certified Machine Learning Specialty – Modeling Part 11

30. IP Insights in SageMaker And let’s cover the IP insights algorithm in Sage maker. IP Insights is all about finding fishy behavior in your web logs. So it’s an unsupervised technique that learns the usage patterns of specific IP addresses and it automatically identifies suspicious behavior from given IP addresses. So it can identify… Read More »

Amazon AWS Certified Machine Learning Specialty – Modeling Part 10

26. K-Nearest-Neighbors (KNN) in SageMaker Next up is KNN, which is probably the world’s simplest machine learning algorithm out there. K nearest neighbors, but Sage Maker does take it to the next level. If you’re not familiar with KNN and how it works, it’s really simple. Basically you plot your data points in some sort… Read More »