What Is Supervised Learning In Machine Learning? | Machine Learning For Beginners | Simplilearn

This video on What is Supervised Learning in machine learning will take you through a detailed concept of Supervised Learning. This video will help you to understand What is Machine Learning, what is supervised learning, how supervised learning works, the advantages and disadvantages of supervised learning, what are the types of supervised learning - classification, regression, supervised learning algorithms, and applications of supervised learning.

01:26 What is Machine Learning?

Machine learning is the art of making computers learn and act like humans by feeding data and which focuses on the utilization of information and imitating the way that people learn, step by step working on its accuracy.

02:05 What is Supervised Learning?

In supervised machine learning, machines are trained using labeled data also known as training data to predict results. Here, labeled data refers to a group of data that have been tagged with one or more names, and the data is already known to the machine.

03:30 Advantages of Supervised Learning

Real-world computation problems

Optimization

Prediction

Reusable data

04:22 Disadvantages of Supervised Learning

Computation time

Updates

Pre-Processing data

04:54 Types of supervised machine learning

Classification

Regression

05:04 Classification- Classification is a process in which new observations are recognized, and separated in such a way that they can be categorized.

05:46 Regression- A regression algorithm is used to figure out the connection between dependent and independent variables.

07:00 supervised learning Algorithms

Linear regression

Regression trees

Non-linear regression

Bayesian Linear Regression

Random Forest

Decision Trees

Logistic Regression

Support Vector Machine

11:07 Applications of Supervised Learning

Image and object recognition

Predictive analysis

Customer Sentiment analysis

Spam detection

🔥Free Machine Learning Course With Completion Certificate:

✅Subscribe to our Channel to learn more about the top Technologies: Check out the Machine Learning tutorial videos: #SupervisedLearning #SupervisedMachineLearning #ML #WhatIsMachineLearning #MachineLearningTutorial #SimplilearnMachineLearning #MachineLearning #Simplilearn

About Simplilearn Machine Learning course:

A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection, and even self-driving cars. This Machine Learning course prepares engineers, data scientists, and other professionals with the knowledge and hands-on skills required for certification and job competency in Machine Learning.

What skills will you learn from this Machine Learning course?

By the end of this Machine Learning course, you will be able to:

1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.

2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.

3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.

4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.

5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems

👉Learn more at:

For more updates on courses and tips follow us on:

- Facebook:

- Twitter:

- LinkedIn: Website: the Android app: the iOS app:

Recommended Reading >> bit.ly/32kRpzw

Comments