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Amit Chauhan
Amit Chauhan

2.6K Followers

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Published in Towards AI

·Jan 22

Fully Understand AutoEncoder in Deep Learning

Data compression algorithm for artificial intelligence and data science applications — Introduction Auto-encoders are one of the methods in artificial neural networks that learn unlabelled data i.e. no output column in the data. It comes in the unsupervised learning technique in deep learning. This algorithm is sufficient to learn its own labels while training and the process are known as self-supervised.

Python

4 min read

Fully Understand AutoEncoder in Deep Learning
Fully Understand AutoEncoder in Deep Learning
Python

4 min read


Published in Towards AI

·Jan 21

Daily Fundamental Implementation Issues Things In Python?

Improve fundamentals with frequent python questions — Introduction Everyone is learning python, that’s awesome. It’s a common mistake by the trainer to miss information due to time limits and course content. While learning python is a long run marathon to becoming an expertise. Let’s see numerous common questions with answers. Q1. Copying method in Python? A1. We…

Python

4 min read

Daily Fundamental Implementation Issues Things In Python?
Daily Fundamental Implementation Issues Things In Python?
Python

4 min read


Published in Towards AI

·Jan 17

In-Depth Tokenization Methods of 14 NLP libraries with Python Example

Natural language processing is a major field in text-based analysis — Introduction Tokenization in natural language processing is a process to segment/tokenize different words/tokens from the string/sentence. The word tokens are the part of the sentence, and the sentence tokens are the part of the paragraph. The fundamental process in each architecture in NLP goes through tokenization as a pre-processing step…

Data Science

7 min read

In-Depth Tokenization Methods of 14 NLP libraries with Python Example
In-Depth Tokenization Methods of 14 NLP libraries with Python Example
Data Science

7 min read


Published in Python in Plain English

·Jan 17

What are XML, JSON, and YAML Serialization Formats for AI Applications?

Data formats types in network automation and machine learning — Introduction Serialization is a type of language format that is used to convert the object and transmit it to a file, database, or stream of bytes. When we want to send data from one machine to another machine, we need the data to be in binary representation. …

Machine Learning

4 min read

What are XML, JSON, and YAML Serialization Formats for AI Applications?
What are XML, JSON, and YAML Serialization Formats for AI Applications?
Machine Learning

4 min read


Published in Python in Plain English

·Jan 15

Sentiment Intensity Analysis with NLTK’s Vader Module

Highly usable library of natural language processing for sentiment analysis — In this article, we will try to explain the natural language processing (NLP) library NLTK’s Vader module for sentiment Intensity analysis. Introduction Vader is a Valence Aware Dictionary for Sentiment Reasoning in the field of text analysis to give a polarity score either positive or negative in the NLP field…

Data Science

2 min read

Sentiment Intensity Analysis with NLTK’s Vader Module
Sentiment Intensity Analysis with NLTK’s Vader Module
Data Science

2 min read


Published in Towards AI

·Jan 10

Fully Understand Convolutional Neural Networks Components

Terms and technology in the artificial intelligence world — In this article, we will discuss fully the terms used in convolutional neural networks (CNN) architecture operation. Basic knowledge of every concept is a must to learn before diving deep into the technology. Introduction of CNN CNN is an architecture to solve the machine learning application for images. CNN is…

Machine Learning

5 min read

Fully Understand Convolutional Neural Networks Components
Fully Understand Convolutional Neural Networks Components
Machine Learning

5 min read


Dec 29, 2022

Scrapping Tables from HTML Pages Without Using Python Libraries

A useful technique for data science and machine learning — Introduction There are many python library tools to do web scrapping for business analysis. The data in table format is easy to use everywhere for fast analysis. A table that can be scraped from the HTML page is an easy task now. The libraries in python to scrape the data from…

Python

3 min read

Scrapping Tables from HTML Pages Without Using Python Libraries
Scrapping Tables from HTML Pages Without Using Python Libraries
Python

3 min read


Nov 28, 2022

CRUD Operations on Azure SQL Database with Python

Python connection with azure cloud database — In this article, we will cover the CRUD operations i.e. create, read, update, and delete operations with python pyodbc on Azure SQL database. Below are examples of the operations with python Firstly, we need a SQL database service on the Azure cloud. At the time of making the database remember the database name, server name, username, and password…

Artificial Intelligence

3 min read

CRUD Operations on Azure SQL Database with Python
CRUD Operations on Azure SQL Database with Python
Artificial Intelligence

3 min read


Nov 28, 2022

What is Terraform? Why Everyone is talking About it?

A DevOps tool for Infrastructure as Code in automation — Introduction In today’s market, the famous technology is the cloud, every tech company is trying to establish its infrastructure on the cloud to get rid of managing the large infrastructure that takes a huge amount of time and labor. Here, infrastructure is like servers, storage, switches, firewall, routers, etc. We…

Dev Ops

3 min read

What is Terraform? Why Everyone is talking About it?
What is Terraform? Why Everyone is talking About it?
Dev Ops

3 min read


Published in Towards AI

·Nov 16, 2022

In-depth Azure Machine Learning Model Train, Test, and Deploy Pipelines on Cloud With Endpoints for Web APIs

A beneficial understanding for data scientists — The workspace consists of various artifacts Manage resources: It includes compute instances and compute clusters. Linked Services: Data Stores: It is a service to store various data. For example — Blob storage, hive storage, and SQL database. Compute targets: These are the machines where we run our model and do the train and test. Assets: Environments

Python

11 min read

In-depth Azure Machine Learning Model Train, Test, and Deploy Pipelines on Cloud With Endpoints for…
In-depth Azure Machine Learning Model Train, Test, and Deploy Pipelines on Cloud With Endpoints for…
Python

11 min read

Amit Chauhan

Amit Chauhan

2.6K Followers

Data Science Enthusiastic | Electronics R&D | Data Visualization | BI | NLP |

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