Azure offers 3 role-based certifications for Machine learning, Data Science, and Data engineering which are DP-900 for working with data, DP-100 for ML, data science, and DP-200/DP-201 for Data Engineering. In this blog, we are going to cover some most frequently asked questions to us in our Free Classes like: 1. What is the difference […]
Read MoreMLOps or Machine Learning Operations is based on DevOps principles and practices that increase the efficiency of workflows and improves the quality and consistency of the machine learning solutions. MLOps is covered in our DP-100 Design & Implement a Data Science solution on Azure training. Want to know more about MLOps? Read the blog post […]
Read MoreAzure Machine Learning Service is a fully managed cloud service that is used to train, deploy, and manage machine learning models. It supports numerous open-source packages available in Python such as TensorFlow, Matplotlib, and scikit-learn. Want to know more about Azure Machine Learning Service and workflow? Read the blog post at https://k21academy.com/dp10020 to learn more. […]
Read MoreIn Azure, we have two concepts namely Datastores and Datasets. Datastores are used for storing connection information to Azure storage services while Datasets are references to the data source locations. Want to know more about Datastores and Datasets in Azure and how we work with them? Read the blog post at https://k21academy.com/dp10019 to learn more. […]
Read MoreMachine Learning is the process of training a machine with specific data to make inferences. There are various types of Machine Learning models. We can deploy the Machine Learning model on Azure by various means like using Azure ML Studio, Azure ML SDK (Python, R), Automated ML, and Visual Studio. Check out the blog post […]
Read MoreOne of the common questions that are asked to us in our Free Training on Microsoft Azure Data Scientist Certification [DP-100] is that what is the difference in Data Science vs Data Analytics vs Data Engineer? Data scientists analyze data to identify patterns and trends to predict future outcomes. Data Analyst analyzes data to summarize […]
Read MoreAWS SageMaker is a managed service from Amazon that provides developers and data scientists with the ability to build, train, and deploy machine learning models. Want to know more about AWS SageMaker and how it can be used for Machine Learning Models? Read the blog post at https://k21academy.com/dp10016 to learn more. The blog post covers: […]
Read MoreMachine learning is a subset of Artificial Intelligence. We mostly use CNN’s in Computer Vision for image classification, object detection, and Neural Style Transfer. Check this blog https://k21academy.com/dp10015 which will cover the basics of the Convolutional Neural Network (CNN) and how we train our convolutional neural networks model on Azure ML service without knowing to […]
Read MoreThe Machines which can act, behave, and make decisions like humans are termed as Artificially Intelligent Machine. The speech Translation system is used in many artificially intelligent machines. It is the process of converting spoken conversational words from one language to another. Want to know more about Speech Translation? Read the blog post at k21academy.com/dp10014 […]
Read MoreMachine learning is a subset of artificial intelligence. Object Detection and Tracking in Machine Learning is widely used in various IT fields. Do you know about Object Detection and Tracking in Machine Learning? Check our blog post at http://k21academy.com/dp10012 and know it all. The blog post covers all the essential information like: • Overview of Object […]
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