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blog_card_machine_learning.html
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blog_card_machine_learning.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet" href="./blogcard.css">
<script src="https://kit.fontawesome.com/a43ef1b1c0.js" crossorigin="anonymous"></script>
<title>Blog Page</title>
</head>
<body><div class="parallax"></div>
<div class="article_content">
<div class="article_header">
<div class="user_details">
<img src="https://avatars.githubusercontent.com/u/104223990?v=4" alt="blogger_pic">
<div class="name">
<h3>GSAsansol</h3>
<p>Oct 02,2022</p>
</div>
</div>
<div class="gs_social">
<a href="https://discord.io/gsasansol"><i class="fab fa-discord"></i></a>
<a href="https://www.linkedin.com/company/gsasansol/"><i class="fab fa-linkedin-in"></i></a>
<a href="https://instagram.com/gsasansol"><i class="fab fa-instagram"></i></a>
<a href="https://twitter.com/GSAsansol"><i class="fab fa-twitter"></i></a>
<a href="https://github.com/gsasansol"><i class="fab fa-github"></i></a>
</div>
</div>
<div class="article_body">
<h1>An insight into Machine Learning</h1>
<img src="https://www.techupdatesdaily.com/wp-content/uploads/2019/12/What-Is-Machine-Learning1.jpg" alt="">
<p>Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks.It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so.Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.
A subset of machine learning is closely related to computational statistics, which focuses on making predictions using computers, but not all machine learning is statistical learning. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a related field of study, focusing on exploratory data analysis through unsupervised learning. Some implementations of machine learning use data and neural networks in a way that mimics the working of a biological brain. In its application across business problems, machine learning is also referred to as predictive analytics.</p>
</div>
</div>
<div class="comment_box">
<form action="" class="add_comment">
<fieldset>
<legend>Add Comment</legend>
<label for="">Name:</label>
<input type="text" value="Anonymous" class="commenter">
<br>
<label for="">Email:</label>
<input type="email" placeholder="Enter Email" class="commenter">
<textarea rows="5" placeholder="Write Your Comment here"></textarea>
<input type="submit" class="post_comment" value="Post Comment">
</fieldset>
</form>
<div class="comment">
<div class="user_details">
<img src="https://avatars.githubusercontent.com/u/104223990?v=4" alt="blogger_pic">
<div class="name">
<h3>GSAsansol</h3>
<p>Oct 03,2022</p>
</div>
</div>
<hr>
<p class="user_comment">
I was searching for a deep insight into machine learning.
Now I think that I will be able to move in the way in need or in the way I will grow.
</p>
</div>
</div>
</body>
</html>