Online courses are a great way to share knowledge with others; that is why I have decided to launch a few courses. The first course is Intro to Azure ML Studio – Regression. This is a smaller course and should take about 2 hours to complete.
Azure ML Studio is a drag-and-drop interface for doing machine learning.
Topics are all based upon Azure ML Studio, and they include:
Microsoft Build 2019 – This is a huge conference hosted by Microsoft for the developer community. Many of the presentation are available to watch online. Not all are data science/AI related, but many are.
Google I/O 2019 Videos – Google’s big annual conference. Nearly all of the sessions are recorded. There are lots of AI talks and demos.
AWS DeepRacer – Learn reinforcement learning by programming an autonomous car and competing in races.
The exam can be broken down into 4 components: Machine Learning, Azure ML Studio, Azure Products, and Python. Below is a breakdown of the topics I remember from the exam.
These are topics which would be covered in a traditional machine learning course. Here are some of the specific topics I remember.
Evaluation of Linear Regression
Evaluation of Classification
Fisher’s exact test
Deep learning – high-level, what is is for
Neural Networks (RNN vs CNN vs DCN vs GAN)
Azure ML Studio
Azure ML Studio is a major focus of the exam, so you need to be fluent in how to use it. Questions ranged from the basics of how to import data all the way to specifics about certain modules.
missing data questions
There were a number of questions from this category. The question would present you a scenario problem and ask which products would be useful for solving the problem. The questions did not go very deep into any of the products, but you will need to know the purpose of these products.
Azure Machine Learning Service
Blob storage – specifically how to get data in/out
Azure Cognitive Services (high level)
Data Science Virtual Machine
Python was the language of choice for the exam, so focus on it.
Azure Machine Learning SDK for Python
Not on the exam
The following topics were not covered on my exam. The exam questions are pulled from a pool of questions, so it is possible these topics may be cover on a different person’s exam. In any case, these are definitely not major portions of the exam.
Microsoft Azure has an abundance of data science capabilities (and non-data science capabilities). It can be challenging to keep up with the latest updates/releases. Luckily, Azure has a page to let you know exactly what has changed. You just need to know where to find it, and the following video will help you find that page.
Read to the end to learn more about a new study group I will be launching.
In Late January 2019, Microsoft launched 3 new certifications aimed at Data Scientists/Engineers. For a while, Microsoft has been toying with different methods for training and credentials. They launched the Microsoft Professional Program in Data Science back in 2017. While it provides great content, it did not result in either a college diploma or an official Microsoft certification. Now Microsoft is in the process of restructing certifications to be more role-focused. Here are details about the 3 certification of interest to data scientists and data engineers.