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Category: Tools for Azure Machine Learning


Stages of Natural Language Processing (NLP) – Fundamentals of Natural Language Processing

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Stages of Natural Language Processing (NLP) The field of natural language processing (NLP) is a mix of computational linguistics, computer science, and artificial intelligence. Three steps may be identified in the process. In the basic text NLP, users enter a sentence or a paragraph, and the NLP can perform the work. The primary challenge is […]

Speech Synthesis – Fundamentals of Natural Language Processing

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Speech Synthesis In many ways, voice synthesis is the inverse of speech recognition. It deals with vocalizing data, typically by transforming text into speech. A speech synthesis solution normally requires the following information: To make synthetic speech, the system usually breaks the text into words and gives each word a phonetic sound. The phonetic transcription […]

Understanding of Optical Character Reader – Computer Vision

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Understanding of Optical Character Reader It is not a secret that images contain text. Some are more important than others. Images might contain brand names, traffic signs, instructions, letters, invoices, bank statements, or even those notes taken on a whiteboard during a crucial meeting. To read all these texts from all these images, whatever the […]

Decision – Computer Vision

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Decision This service helps developers add recommendations for users to refer to when making decisions. With this availability, a user can make much better decisions. The following are the types of decision-making services Azure provides: OpenAI Service This service is for anything that has to do with understanding or making code from natural language. You […]

Object Detection – Computer Vision

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Object Detection Object detection is the process of finding and separating real-world objects in a picture or video. This technique can find a human face, flowers, cars, etc., out of an image of any given size. Object detection depends a lot on derived features and learning algorithms because it needs to work in real time […]

Detecting Object – Computer Vision

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Detecting Object We can use this API to detect an object, record its coordinates, and scan for any more instances of the same object. For instance, for an image containing objects like cats, dogs, etc., the Detect API will return a list of objects that are similar, along with their coordinates in the image. This […]

Create Computer Vision Resource – Computer Vision

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Create Computer Vision ResourceIn this section, you will learn how to create a computer vision resource using the Azure portal, and after the computer vision service instance is created, you will copy the key and endpoint and save them for later use. Figure 4-1Finding the Computer Vision service Figure 4-2Select region, resource name, and pricing […]

Exploration – Machine Learning Fundamental Concepts

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ExplorationThe “Usage + Quotas” section of the ML workspace shows the dedicated core usage as shown in Figure 3-39. Figure 3-39Exploring usage + quota Delete ResourcesTo avoid any charges, it is critical to delete the resources once the ML model is no longer needed. Figure 3-40 shows Delete button to delete the ML model. Figure […]

Tools for Azure Machine Learning – Machine Learning Fundamental Concepts

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Tools for Azure Machine Learning Azure Machine Learning offers various tools to build your ML solutions. Anyone on an ML team can use their preferred tools to get the job done. Azure Machine Learning Studio The Microsoft Azure Machine Learning Studio is the main place where machine learning services in the Microsoft Azure Cloud are […]

Model Evaluation Metrics – Machine Learning Fundamental Concepts

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Model Evaluation Metrics Model evaluation is the process of figuring out how well a machine learning model works and what its strengths and weaknesses are by using different evaluation metrics. Since the results are one of the most important parts of any model, we should always look at them after each testing cycle. From our […]