Article Categories
- All Categories
-
Data Structure
-
Networking
-
RDBMS
-
Operating System
-
Java
-
MS Excel
-
iOS
-
HTML
-
CSS
-
Android
-
Python
-
C Programming
-
C++
-
C#
-
MongoDB
-
MySQL
-
Javascript
-
PHP
-
Economics & Finance
Data Science Articles
Page 4 of 13
Demystifying Machine Learning
Machine learning is a subset of artificial intelligence that refers to a computer's ability to learn from data and improve performance without explicit programming. It entails the development of algorithms that automatically find patterns in massive amounts of data, forecast outcomes, and reach conclusions. Today, a wide range of businesses, including finance, retail, transportation, and healthcare, employ machine learning extensively. Using machine learning approaches, businesses can get helpful insights, simplify processes, and enhance decision−making. In order to demystify machine learning for newcomers, this blog offers a thorough introduction to its fundamental ideas, varieties, uses, and ethical issues. Readers will ...
Read MoreApplying Machine Learning to Geometry
Consider the capability of machines to comprehend and traverse the complexity of geometric structures, places, and forms. This is where the intriguing fusion of geometry and machine learning is put to use. A subfield of artificial intelligence called machine learning enables computers to identify patterns and make predictions based on data. However, geometry, a fundamental branch of mathematics, deals with the properties and relationships of shapes and space. By integrating these two fields, we create a whole new world of possibilities. This article will look at the fascinating relationship between geometry and machine learning. Understanding Geometry The field of ...
Read MoreMachine Learning Engineer vs. Data Scientist: Which is Better?
Introduction Data Science and machine learning are the trending fields in current business scenarios, where almost all kinds of product and service-based companies are leveraging Machine learning and data science techniques to enhance their productivity and advance their workflows. In such cases, many data aspirants are trying to enter the field, but the issue here is with the role. As one single individual can not master all the fields in AI and hence the need for selection of roles comes, which becomes very confusing but important for the career. In this article, we will discuss the machine ...
Read MoreHow Does TVF Make Profit Using Data Science
Introduction Most companies and businesses are leveraging and integrating data science and machine learning techniques into their workflow to enhance their sales, marketing, and productivity of the projects and workings on the same. The viral fever, or the TVF, is one of the biggest content creation companies which creates movies, web series, and serials, which is India based company. The TVF uses data science and machine learning techniques to enhance its productivity and user experience. In this article, we will discuss how TVF makes a profit using data science and machine learning, which techniques they might be using, ...
Read MoreThe Role of Trial and Error in Data Analysis
Introduction Data analysis is an approach in the field of data science and machine learning where the dataset is analyzed well in order to get the relationship between dataset features and get an idea about the behavior of the data and its parameters. In data analysis, trial and error play a major role while developing a machine learning model. It has certain advantages that allow data analysts or data scientists to make the model more reliable and predictive according to the dataset available. In this article, we will discuss the role of trial and error in data analysis, ...
Read MoreChallenges and Problems in Data Cleaning
In the present era, where data plays a pivotal role, businesses and organizations of all sizes encounter a substantial volume of data. However, ensuring the accuracy and reliability of this data is vital for making well-informed decisions and extracting meaningful information. Data cleaning or data scrubbing, involves the identification and rectification or elimination of errors, inconsistencies, and inaccuracies within datasets. Although data cleaning holds great importance, it presents numerous challenges that can impede the accuracy and dependability of the purified data. In this article, we will explore the diverse set of challenges and issues that arise during the data cleaning ...
Read More7 Best R Packages for Machine Learning
R packages play an important role in enabling researchers, analysts, and developers to leverage the potential of machine learning in the dynamic field of data science. These programs offer a comprehensive collection of tools and functionalities that ease difficult data analysis processes, making them indispensable for industry experts. In this article, we will explore the top seven R packages for machine learning, their importance, and how to use them effectively. 7 Best R Packages for Machine Learning Below are the seven R packages for machine learning − Caret Caret is an R package that supports a wide range of machine-learning ...
Read MoreSeparating Planes In SVM
Support Vector Machine (SVM) is a supervised algorithm used widely in handwriting recognition, sentiment analysis and many more. To separate different classes, SVM calculates the optimal hyperplane that more or less accurately creates a margin between the two classes. Here are a few ways to separate hyperplanes in SVM. Data Processing − SVM requires data that is normalised, scaled and centred since they are sensitive to such features. Choose a Kernel − A kernel function is used to transform the input into a higher dimensional space. Some of them include linear, polynomial and radial base functions. Let ...
Read MoreComplete Introduction to Alteryx
Alteryx is a user-friendly Data analytics platform. It is a robust data analytics and processing platform that enables users to extract, transform and process data from multiple sources and perform complex computation and analysis using a drag-and-drop interface. The reason behind the tool’s wide usage and fame is its no-code implementation of data preparation and analysis which streamlines business analysis in corporates. Getting Started with Alteryx Alteryx Designer is used for creating workflows for analyzing, blending data, and performing advanced analytics (such as predictive, spatial, and prescriptive) using the drag-and-drop user interface. A workflow in Alteryx consists of connected tools ...
Read MoreTF-IDF in Sentiment Analysis
In order to recognize and classify emotions conveyed in a text, such as social media postings or product evaluations, sentiment analysis, a natural language processing approach, is essential. Businesses can enhance their offers and make data-driven decisions by using this capability to discover client attitudes towards their goods or services. A popular technique in sentiment analysis is called Term Frequency-Inverse Document Frequency (TF-IDF). It determines the significance of words inside a text in relation to the corpus as a whole, assisting in the identification of important phrases that express positive or negative moods. Algorithms for sentiment analysis can precisely categorize ...
Read More