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Ashwin Sharma P
Ashwin Sharma P

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Have you sacrificed your attention to feed algorithms?

When the whole world is running towards a cliff, he who is running in the opposite direction appears to have lost his mind — C S Lewis The problem is not our smartphones, or the internet which actually can be put into many other purposes, even if they are used…

3 min read

3 min read


Dec 4, 2022

Linux file permissions

Every file/directory has three types of owners in Linux. The permissions for each of these 3 owners is represented in Numeric (group of octal representation) or symbolic representation. Symbolic Notation The Linux permissions are symbolically denoted similar to something like -rwxrw-w — or drw-rw-rwx. Here in symbolic notation, the first letter will…

Linux

4 min read

Linux file permissions
Linux file permissions
Linux

4 min read


Nov 27, 2022

The dejected mind

A bird was I, flying out far and wide. As and when I wanted, to and from my eyrie. Dancing in the sunshine was I, as the dark clouds came by. Wary was I, of the looming obstacles. But within minutes, down was I, in the midst of a sandstorm, like a pushed down mind in anomaly. Losing hope minute by minute am I, Waiting for some help. Yearning am I, To fly out far and wide again. Originally published at https://ashwinsharmap.blogspot.com.

Mental Health

1 min read

Mental Health

1 min read


Nov 13, 2022

Life

Life is a maze, in which all people race. Becoming first, by making someone last. Never caring, never helping, With selfishness and pride. Taking deep roots, in the foundation of their mind. Never trust them, cheaters are they. With the dark shadows of ego and jealousy, in their cold heart and brains. But never lose hope, Facing loses after loses. Ignore the traitors. Never mind the selfish world.

Life

1 min read

Life

1 min read


Feb 5, 2021

Steps in Building a Machine Learning Project

In this post, we will be discussing the basic steps in building a machine learning project. The process of building an ML project includes collecting the dataset, cleaning it, processing the data, training and testing of the model and deploying it. All the steps are explained briefly below. Data collection Data collection…

Machine Learning

2 min read

Machine Learning

2 min read


Feb 5, 2021

any() and all() in Python

In this post, we will be looking into any() and all() functions in Python. First, let us discuss the any() function. 👉 any() The any() function takes an iterable as an argument: any(iterable). The iterable can be a list, tuple or dictionary. The any() function returns ‘True’ if any element in the…

Python

2 min read

Python

2 min read


Feb 5, 2021

What is Logistic Regression

As you may be knowing Logistic Regression is a Machine Learning algorithm. It is used for binary classification problems. We also have multiclass logistic regression, where we basically re-run the binary classification multiple times. It is a linear algorithm with a non-linear transform at the output. The input values are…

Machine Learning

3 min read

What is Logistic Regression
What is Logistic Regression
Machine Learning

3 min read


Feb 5, 2021

Padding in CNN

We have seen the basic operation of convolution in the previous post. Knowing Convolution Basics In this post, we will be discussing padding in Convolutional Neural Networks. Padding is the number of pixels that are added to an input image. …

Convolution Neural Net

2 min read

Padding in CNN
Padding in CNN
Convolution Neural Net

2 min read


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Analytics Vidhya

·Feb 5, 2021

Knowing Convolution Basics

In this article, we are going to learn about the grayscale image, colour image and the process of convolution. Grayscale image A grayscale image where the image is represented as only the shades of grey. The intensity of the various pixels of the image is denoted using the values from 0 to…

Image Processing

4 min read

Knowing Convolution Basics
Knowing Convolution Basics
Image Processing

4 min read


Feb 5, 2021

What is Gradient descent algorithm?

The gradient descent algorithm is an approach to find the minimum point or optimal solution for a given dataset. It follows the steepest descent approach. That is it moves in the negative gradient direction to find the local or global minima, starting out from a random point. …

Machine Learning

3 min read

What is Gradient descent algorithm?
What is Gradient descent algorithm?
Machine Learning

3 min read

Ashwin Sharma P

Ashwin Sharma P

2 Followers

Connect on LinkedIn through www.linkedin.com/in/ashwinsharmap

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