By GreyCampus | in Online Courses
The most advanced phenomenon in the history of computer generations is the technological development in the field of Artificial Intelligence (AI). AI is basically the concept in which machines develop the ability to simulate natural intelligence and carry out tasks "smartly", while Machine Learning is an application of AI aiming to learn from data for a machine to maximize its performance. These interconnected concepts are covered in this foundation course. With 72 lectures, this tutorial provides the basics of Deep Learning by giving an insight of Convolutional Neural Networks and Recurrent Neural Networks, all by using TensorFlow.
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By GreyCampus | in Online Courses
Data visualization means representing the data in a visual format. Visual formats include graphs, charts, and pictograms. It's of great advantage to learn to deploy data visualization through Python using Matplotlib. Matplotlib is a library of Python that helps in the viewing of the data. In this course, you will learn how to deploy various commands for creating multiple graphs, 3D scatter diagrams, and Pie Charts among others. You will also learn about actual geographical plotting using Matplotlib extension called Basemap.
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By GreyCampus | in Online Courses
Computer Vision is an interdisciplinary field of study dealing with enabling computers to process high-level, complex digital images and videos. This field includes methods for collecting, processing, interpreting and understanding images and videos automatically. Its principal objective is to process pictures critically the way a human eye does for various outcomes. With 72 lectures, the course provides a more in-depth understanding of the role of Convolutional Neural networks, the knowledge of transfer learning, object localization, object detection, and using TensorFlow. Finally, the course talks about segmentation.
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By GreyCampus | in Online Courses
Natural Language Processing, or NLP, is one of the most demanded technology today. It is a field of AI which allows machines to interpret and comprehend human language. Since it is being used in emails, advertisements, language translations, web searches and much more, it would be a great advantage to understand the processes involved in this field. With 72 lectures, this course provides an innovative methodology and sample exercises that will help you go deeper into Natural Language processing.
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