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Nomidl
Hosted by Nomidl · EN
Nomidl provides a free learning platform and best preparation material to all job seekers who wants to start their career into Data Science, Machine Learning and Artificial Intelligence or wants to switch in from any other field. We will give you correct guidance by which you will be able to start you career immediately so be with us. With our best learning material you can learn and understand easily all the concepts in easy way.
5episodes
Episodes
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The History of the Perceptron: From Inception to Modern AI
Jan 31, 202500:04:56Tap to summarizeArtificial intelligence has evolved significantly, but its foundation lies in some of the simplest models ever created. One such model is the Perceptron Neural Network, a fundamental machine learning building block. Understanding what is Perceptron helps us appreciate how neural networks have advanced from basic binary classifiers to deep learning systems used in modern AI applications.
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Computer Vision Interview Questions: Key Concepts on Accuracy, Precision, and Recall
Jan 11, 202500:05:21Tap to summarizeComputer vision interview questions, a branch of artificial intelligence, is an exciting and fast-evolving field with applications in healthcare, autonomous vehicles, robotics, and more. If you're preparing for a computer vision interview, understanding the fundamental concepts and being able to discuss metrics like accuracy, precision, and recall is essential. This article delves into common interview questions related to computer vision and explores these metrics in detail.
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What is a Perceptron? Breaking Down Its Components
Jan 2, 202500:06:02Tap to summarizeA perceptron is a fundamental building block in artificial intelligence, specifically in machine learning and neural networks. It serves as the simplest form of a neural network, designed to mimic the decision-making process of a single biological neuron. In this article, we’ll break down the concept of a perceptron, its components, and how it works, focusing on the keywords perceptron neural network and what perceptron is.
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Lemmatization in Natural Language Processing (NLP)
Dec 26, 202400:04:39Tap to summarizeLemmatization is a crucial preprocessing step in Natural Language Processing (NLP) that involves reducing a word to its base or root form, known as a lemma. Unlike stemming, which often truncates words indiscriminately, lemmatization in nlp considers the morphological analysis of words and their intended context in a sentence. This process ensures that the resulting lemma is a valid word with semantic meaning.
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Exploring AlexNet: A Breakthrough in Deep Learning
Dec 19, 202400:04:47Tap to summarizeIn 2012, the landscape of artificial intelligence underwent a seismic shift with the introduction of alexnet architecture, a deep convolutional neural network (CNN) that revolutionized computer vision. Designed by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton, AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) that year with an unprecedented error rate reduction, signaling the dawn of a new era in machine learning.
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