Difference Between Backpropagation and Stochastic Gradient Descent
Posted in Machine Learning

Difference Between Backpropagation and Stochastic Gradient Descent

Tweet Share Share Last Updated on February 1, 2021 There is a lot of confusion for beginners around what algorithm is used to train deep…

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Local Optimization Versus Global Optimization
Posted in Machine Learning

Local Optimization Versus Global Optimization

Tweet Share Share Optimization refers to finding the set of inputs to an objective function that results in the maximum or minimum output from the…

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How to Develop a Neural Net for Predicting Car Insurance Payout
Posted in Machine Learning

How to Develop a Neural Net for Predicting Car Insurance Payout

Tweet Share Share Developing a neural network predictive model for a new dataset can be challenging. One approach is to first inspect the dataset and…

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How to Use Nelder-Mead Optimization in Python
Posted in Machine Learning

How to Use Nelder-Mead Optimization in Python

Tweet Share Share Last Updated on January 29, 2021 The Nelder-Mead optimization algorithm is a widely used approach for non-differentiable objective functions. As such, it…

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How to Get Started With Recommender Systems
Posted in Machine Learning

How to Get Started With Recommender Systems

Tweet Share Share Recommender systems may be the most common type of predictive model that the average person may encounter. They provide the basis for…

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Posted in More

A survey that will show developers which language they like the most

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How to go back on previous page with previous information using javascript function?
Posted in Javascript

How to go back on previous page with previous information using javascript function?

I am sharing some information here, maybe you will get this much space.Many times we perform such functionality in which the last information is lost…

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Regression Metrics for Machine Learning
Posted in Machine Learning

Regression Metrics for Machine Learning

Tweet Share Share Regression refers to predictive modeling problems that involve predicting a numeric value. It is different from classification that involves predicting a class…

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How to Choose an Activation Function for Deep Learning
Posted in Machine Learning

How to Choose an Activation Function for Deep Learning

Tweet Share Share Last Updated on January 22, 2021 Activation functions are a critical part of the design of a neural network. The choice of…

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Visualization for Function Optimization in Python
Posted in Machine Learning

Visualization for Function Optimization in Python

Tweet Share Share Function optimization involves finding the input that results in the optimal value from an objective function. Optimization algorithms navigate the search space…

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Should you be afraid of new updates on WhatsApp?
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Should you be afraid of new updates on WhatsApp?

It has been trending for some days about WhatsApp new policy updates, Will all your data really be shared with Facebook.Many such questions: In the…

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Code Adam Gradient Descent Optimization From Scratch
Posted in Machine Learning

Code Adam Gradient Descent Optimization From Scratch

Tweet Share Share Last Updated on January 16, 2021 Gradient descent is an optimization algorithm that follows the negative gradient of an objective function in…

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