Search results for "Digital Transformation"

Data Preparation for Machine Learning - Small

Data Preparation for Machine Learning

Data Preparation for Machine Learning Data Cleaning, Feature Selection, and Data Transforms in Python …so What is Data Preparation? Predictive modeling projects involve learning from data. Data refers to examples or cases from the domain that characterize the problem that you want to solve. On a predictive modeling project, such as classification or regression, raw […]

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Deep Learning for Computer Vision

Deep Learning for Computer Vision

Deep Learning for Computer Vision Image Classification, Object Detection, and Face Recognition in Python …why deep learning? Traditionally, Computer Vision is REALLY HARD We are awash in images: photographs, videos, YouTube, Instagram, and increasingly from live video. Computer Vision, often shortened to CV, is defined as a field of study that seeks to develop techniques […]

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Programming Computer Vision with Python

8 Books for Getting Started With Computer Vision

Computer vision is a subfield of artificial intelligence concerned with understanding the content of digital images, such as photographs and videos. Deep learning has made impressive inroads on challenging computer vision tasks and makes the promise of further advances. Before diving into the application of deep learning techniques to computer vision, it may be helpful […]

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Relationship between Induction, Deduction and Transduction

Gentle Introduction to Transduction in Machine Learning

Transduction or transductive learning are terms you may come across in applied machine learning. The term is being used with some applications of recurrent neural networks on sequence prediction problems, like some problems in the domain of natural language processing. In this post, you will discover what transduction is in machine learning. After reading this […]

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