Top 5 Courses on Coursera for Deep Learning
Upvote 4+ To create the patterns of the human brain and train the model to think, act, decide, and work like humans it is necessary to involve the field of deep learning. The deep...
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Upvote 4+ To create the patterns of the human brain and train the model to think, act, decide, and work like humans it is necessary to involve the field of deep learning. The deep...
Upvote 5+ The Natural Language Processing community is growing rapidly with enthusiastic and creative minds. The technical minds are developing various new algorithms to do effective and accurate sentiment analysis, voice recognition, text translation,...
Upvote 1+ I have covered data science interview questions (Part 1 and Part 2) in my previous articles. In this article, I will cover important python interview questions. Let’s start then. Q.1 Which sorting...
Upvote 0 Q.1 What is Python? Python is a high-level programming language. Guido van Rossum is the developer of Python. Python was released in 1991. It is an object-oriented, general-purpose computer programming language that...
Upvote 7+ Have you ever been so frustrated by extra tedious tasks while working with machine learning models? For sure, most of you would have. In this era of automation, why couldn’t you automate...
Upvote 5+ The machine learning model lifecycle comes with its design, development, integration, and deployment. These are the key factors associated with the overall working of the model. With all this, the model requires...
Upvote 4+ Do you want to train machine learning models with accuracy, proficiency, and high computational power but need an easier, time-saving, resource-intensive approach? Then the world of data science and machine learning merged,...
Upvote 1+ In this article, I will take you through a complete understanding of Time series analysis. Time series analysis is considered an essential skill for various purposes, but mostly we neglect it in...
Upvote 4+ Before entering the article, please get in touch with Convolutional neural networks because CNN is the algorithm behind Computer vision implementation. Introduction to Convolutional neural networks. In the image below we can...
Upvote 1+ With millions of Artificial Intelligence models trained each year, there is still the need for an integrated model that can do computation more effectively, be fast, and give the desired output with...