In the series of Azure Machine Learning posts: Let’s continue to explore the power of SDK and the namespaces. Environment Python SDK namespace is azureml.core.environment. Environments specify the set of...continue reading.
In the series of Azure Machine Learning posts: Looking briefly into Azure CLI and Python SDK, let’s explore the power of SDK and the most important namespaces. Create a new...continue reading.
In the series of Azure Machine Learning posts: Now, that we have created compute and added some data, we can check what are Azure CLI and Python SDK. What is...continue reading.
This tutorial will show you how to use the Numpy min function (AKA, np.min). It explains what the function does at a high level, explains the syntax, and shows clear,...continue reading.
In the series of Azure Machine Learning posts: We have explored how to create a compute instance and compute target and learned that ML frameworks and scripting packages always come...continue reading.
In the series of Azure Machine Learning posts: With a basic understanding of data assets, let’s create compute instances. Under “Manage” in the navigation bar, select “Compute” (denoted as 1),...continue reading.
In the late November 2022 Microsoft announced, that Microsoft SQL Server 2022 is generally available. New version brings many great features, and upgrades the existing ones. For the purpose of...continue reading.
In the series of Azure Machine Learning posts: Yesterday, we have learned the general outlook of the Studio and in this blog post, we will be focusing primarily on getting...continue reading.
In the series of Azure Machine Learning posts: After creating the Azure Machine Learning workspace, you will be able not only to start the Studio but access all the necessary...continue reading.
In the series of Azure Machine Learning posts: Assuming you already have the Azure subscription and you are logged into Azure portal, search for the “Azure Machine learning” service and...continue reading.
Azure Machine Learning (or Azure Machine Learning Service and abbreviation AML) is Azure’s cloud service for creating, managing and productionalising machine learning projects. It is a collaborative tool for Data...continue reading.
This tutorial will show you how to save multiple Numpy datasets in a single .npz file with Numpy savez. It explains what the np.savez does, explains the syntax, and shows...continue reading.
In this tutorial, I’ll explain how to use the Numpy shape function. I’ll explain what the function does, how the syntax works, and I’ll show you a couple of clear...continue reading.
This tutorial will show you how to use Numpy loadtxt to load numeric data stored in a text file into a Numpy array. The tutorial explains what the function does,...continue reading.
There is no excerpt because this is a protected post.continue reading.
I have recently updated my extensive analysis of the popularity of data science software. This update covers perhaps the most important section, the one that measures popularity based on the...continue reading.
In this tutorial, I’ll show you how to use the sns.lineplot function to create a Seaborn lineplot. I’ll give you a quick introduction to what function does, I’ll explain how...continue reading.
If you haven’t been living under a rock for the past couple of weeks, you’ve likely noticed some groundbreaking news in the Shiny department. Yes, it’s finally available for Python!...continue reading.
Have you ever been frustrated with data visualization in Python? Matplotlib – as powerful as it is – has a very clumsy syntax. It’s hard to use. Plotly is OK,...continue reading.
Data Science has (unnecessarily) divided the world into two halves – R users and Python users. Irrelevant of the group you belong to, there’s one thing you have to admit...continue reading.
