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Neural Network Architecture for Text-to-Speech Synthesis
In this post, you would learn about a neural network reference solution architecture which could be used to convert the…
Author Ajitesh Kumar
Ajitesh Kumar
Ajitesh has been recently working in the area of AI and machine learning. Currently, his research area includes Safe & Quality AI. In addition, he is also passionate about various different technologies including programming languages such as Java/JEE, Javascript and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc. He has also authored the book, Building Web Apps with Spring 5 and Angular.
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Reverse Image Search using Deep Learning (CNN)
In this post, you will learn about a solution approach for searching similar images out of numerous images matching an…
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Why Data Scientists Must Learn Statistics?
In order to understand the need for data scientists to be very good at the statistical concepts, one needs to…
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When not to use F-Statistics for Multi-linear Regression
In this post, you will learn about the scenario in which you may NOT want to use F-Statistics for doing the hypothesis…
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R-Squared Explained for Indian Grandma
In this post, you will learn about the concept of R-Squared in relation to assessing the performance of multilinear regression machine…
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Machine Learning – Cloud-native Model Deployments
In this post, we are going to learn about the cloud-native machine learning model deployments. Cloud-native Deployments First and foremost,…
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What, When & Why of Regularization in Machine Learning?
In this post, we will try and understand some of the following in relation to regularizing the regression machine learning…
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Unit Tests & Data Coverage for Machine Learning Models
This post represents thoughts on what would it look like planning unit tests for machine learning models. The idea is to…
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ML Models Confusion Matrix Explained with Examples
In this post, you will learn about the confusion matrix with examples and how it could be used as performance…
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Machine Learning Cheat sheet (Stanford)
Here is a great set of cheat sheet on some of the following topics: Supervised learning Unsupervised learning Deep learning…
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Machine Learning Models used in Facebook
This post quickly represents machine learning projects and related machine learning models. The above diagram represents the usage of the…
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13 Programming Languages used for Machine Learning
In this post, you will learn about different programming languages which can be used to create (train) machine learning models…
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Linear Regression Explained with Real Life Example
In this post, linear regression concept in machine learning is explained with multiple real-life examples. Both types of regression (simple…
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Top 5 Machine Learning Introduction Slides for Beginners
In this post, you will get to know a list of introduction slides (ppt) for machine learning. These slides could…
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Andrew NG Machine Learning Coursera Videos
In this post, you will get to know the list of Andrew NG Machine Learning Coursera Videos. Here is the information: Youtube…
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MIT OCW Machine Learning Courses Information
In this post, you get the information related to MIT OCW machine learning course from MIT OpencourseWare (OCW). They use Matlab as…