Concluding the Developer's Intro to Data Science Video Series (28 of 28)
[MP4] [0:00:42] [2020/07/11]In this 28-video series, you learnt important concepts and technologies to build your end-to-end machine learning applications on Azure: Sarah and Francesca guided you throught the data science…
What is model interpretability and how can you incorporate it into your data science solutions? (27…
[MP4] [0:04:07] [2020/07/11]Interpretability is critical for data scientists, auditors, and business decision makers alike to ensure compliance with company policies, industry standards, and government regulations. In this video…
How does ethics play a role in data science? (26 of 28)
[MP4] [0:05:17] [2020/07/11]In this video, Sarah challenges you to think about where ethics plays a role in all data science problems. Regardless of the type of data analysis or machine learning model you are using, your…
How do you select the right machine learning algorithm? (25 of 28)
[MP4] [0:03:45] [2020/07/11]A common question in data science is "Which machine learning algorithm should I use?". In this video you will learn how the algorithm you select depends primarily on two different aspects of…
What is the importance of model deployment in machine learning? (24 of 28)
[MP4] [0:02:20] [2020/07/11]In this video, Francesca summarizes the most important steps to deploy your machine learning models with Azure Machine Learning. Model deployment is the method by which you integrate a machine…
What have you learned from deploying a machine learning model as a web service? (23 of 28)
[MP4] [0:01:07] [2020/07/11]In this video, Sarah summarizes all of the learnings from measuring the accuracy of the machine learning model used in this series. Sarah also revisits the business goal to determine whether the…
How do you deploy a machine learning model as a web service within Azure? (22 of 28)
[MP4] [0:05:58] [2020/07/11]In this video, you will gather all of the important pieces of your model to be able to deploy it as a web service on Azure so that your other applications can call it on the fly. First, you will get…
How do you score your machine learning model on accuracy? (21 of 28)
[MP4] [0:03:37] [2020/07/11]In this video, you will use the root mean squared error, mean absolute error, and mean absolute percentage error to score the accuracy of your model. You will then learn how to visualize the…
How do you evaluate and retrieve a time series forecast from Azure Machine Learning? (20 of 28)
[MP4] [0:04:06] [2020/07/11]In this video, you will learn how to use an external python function to run your data through a forecast evaluation. Using Python files uploaded to the cloud environment within the Azure Machine…
How do you use Azure ML for best model selection and featurization? (19 of 28)
[MP4] [0:03:17] [2020/07/11]During training, the Azure Machine Learning service creates a number of in parallel pipelines that try different algorithms and parameters. When configuring your experiments, you can enable the…
How do you choose the best model and perform feature engineering? (18 of 28)
[MP4] [0:01:58] [2020/07/11]In this video you will learn how to use Automated ML to select your best model and perform feautures engineering: Automated ML is the process of automating the time consuming, iterative tasks of…
How can you collaborate on Jupyter Notebooks using Azure Machine Learning studio? (17 of 28)
[MP4] [0:05:26] [2020/07/11]In this video, you will see the Azure Machine Learning Studio and learn how create a Jupyter Notebook in the cloud. By doing this, you ensure you have access to your code anywhere. Additionally, you…
What is Azure Machine Learning? (16 of 28)
[MP4] [0:02:59] [2020/07/11]Azure Machine Learning is a cloud-based environment you can use to train, deploy, automate, manage, and track your machine learning models. You can use Azure Machine Learning for any kind of machine…
How do you create an AutoML Config file and run your data science experiments on the cloud? (15 of…
[MP4] [0:03:31] [2020/07/11]In this video, you will actually put your data through AutoML in Azure to train and test with a number of machine learning algorithms that Azure supports. This video will walk you through all of the…
What should your parameters be when creating an AutoML Config file? (14 of 28)
[MP4] [0:01:26] [2020/07/11]See how Sarah and Francesca configure and run an AutoMLConfig file to submit an automated ML experiment in Azure Machine Learning. This configuration object contains and persists the parameters for…
What is an AutoML Config file? (13 of 28)
[MP4] [0:02:11] [2020/07/11]In this video you will learn how to run a machine learning experiment with Automate ML and how to create your AutoMLConfig file to submit an automated ML experiment in Azure Machine Learning.This…
Why do you split data into testing and training data in data science? (12 of 28)
[MP4] [0:02:26] [2020/07/11]In this video, you will learn why you split your data into training and testing data. Then you will learn how to actually split your data using a date into two different Pandas dategrames using Python…
How do you prepare your data for a time series forecast? (11 of 28)
[MP4] [0:02:45] [2020/07/11]In this video, you will learn how to get your data ready for a time series forecast; how to prepare your data to use a date/time to predict a value in another column. In this specific example, you…
How do you connect your Azure Machine Learning resources to your local Visual Studio Code…
[MP4] [0:03:04] [2020/07/11]In this video, you will learn how to connect the Machine Learning resource that you created in Azure to your local Visual Studio Code environment. This allows you to run your machine learning…
How do Jupyter notebooks work in Visual Studio Code? (9 of 28)
[MP4] [0:02:34] [2020/07/11]In this video, you will get an introduction to how Jupyter Notebooks work inside of Visual Studio Code and install the Python packages useful for this data science project, and make sure you have…
How do you setup your local environment for data exploration? (8 of 28)
[MP4] [0:04:12] [2020/07/11]In this video, you will learn how to setup your local environment for data exploration. Specifically, you will setup Visual Studio Code to be able to run Python Jupyter Notebooks and connect to your…
How do you create a machine learning resource in Azure? (7 of 28)
[MP4] [0:01:59] [2020/07/11]In this video, you will learn how to create a Machine Learning resource inside of Azure. By using Azure for your machine learning toolset, you're able to create the storage account, application…
What is AutoML? (6 of 28)
[MP4] [0:03:20] [2020/07/11]In this video, you will learn how you can use Automated machine learning (Automated ML) to accelerate the data science life cycle: Automated ML is the process of automating the time consuming,…
Which Machine Learning Algorithm Should You Use? (5 of 28)_512.jpg)
[MP4] [0:03:06] [2020/07/11]Which machine learning algorithm should I use? In this video you will learn ho to select the right machine learning algorithm for your data science scenario and how to answer different different…
What is Machine Learning? (4 of 28)_512.jpg)
[MP4] [0:03:11] [2020/07/11]What is Machine Learning? In this video you will learn what machine learning, supervised learning and unsupervised learning are and how you can use the model development cycle to build, train, test…
How do you define your business goal and scope your data science solution? (3 of 28)
[MP4] [0:02:08] [2020/07/11]In this video, Sarah describes the problem that she is facing where she thinks data science methods might be able to help her improve her business goals. www.aka.ms/DataScienceLifecycle
What is the Data Science Lifecycle? (2 of 28)
[MP4] [0:03:12] [2020/07/11]In this video you will learn what the Data Science Lifecycle is and how you can use it to design your data science solutions. This lifecycle is designed for data science projects that are intended to…
Introduction to the Developer's Intro to Data Science Video Series (1 of 28)
[MP4] [0:03:29] [2020/07/11]In this 28-video series, you will learn important concepts and technologies to build your end-to-end machine learning applications on Azure: Sarah and Francesca will guide you throught the data…