All-about-machine-learning
This article resolve following doubt of Machine Learning with Projects list mention at last:
What is AI?
What is machine learning?
How machine learning works?
Parts of Machine learning
How machine learning can be used?
The field of science and technology has changed the world completely by its innovation, creation, functionality, evolution and application. There is no area remaining untouched by its presence. Today science and technology arrived on a platform where in the past only imagination took part in the discussion but today it's become the reality of life; and Artificial intelligence is one of them. But how is AI possible? There is something that works behind the wall to stimulate AI. Today in this article we are going to discuss the machine learning project. But before that lets learn about some basic concepts to know more and get a better understanding of the topic.
Website Search Query Optimization by Machine Leanring Approach
Classification of User Task Behavior by Machine Leanring Approach
Digital Data Classification at Cloud
Secured Data Classification at Cloud
Social Media Comments Sentiment Analysis
Student Document Segmentation by Machine Learning
Research Article Clustering by Machine Learning
Netwrok Attack Detection by Machine Learning
Could Attack Detection by Machine Learning
Dicom Image Diagnosis by Machine Learning
Tumor Detection by Machine Learning
Hash Based Secured Document Retreival
Object Detection in Video by Machine Learning
Human Activity Recognition using Smartphone
Object Detection with Deep Learning
Spectrum Optimization by Artificial Neural Network
Bot Detection by Artifical Neural Network
Social Media BoT User Detection
Software Detect Detection by Machine Learning approach
Covid-19 Prediction by Machine Learning Approach
Cloud Malicious Node Detection
Shopping Site product Prediction by social Media analysis
Medical Image Diagnosis by Machine Learning Approach
School Education Based Grade Prediction
Fraud Detection with Machine Learning
Multi Keyword Document Retrival
Increase Online Sale Analysis by Webpage Recommendation
Shopping Site product Recommendation
Online Shopping Product Rating Prediction
Ariculture Envionment based Crop Production Prediction
Envionmental anaylsis for Crop Yied Output
Fake User Identification on Social Media
Social Media Spammer Detection
Multitask Scheduling for Load optimization
Network Ransomware Detection by Machine Learning
What is AI?
AI or Artificial intelligence is a new and emerging field of science and technology. As we know the evolution of computer; AI is an emerging branch of computer science. You may have heard and seen or used many AI products around you; for example apple’s siri, amazon’s alexa, google assistant etc. in other words AI is an evolution of computers to become independent and behave like other human beings who have intelligence. For achieving intelligence for computers and machines we use another technology called machine learning.
What is machine learning?
The term ‘machine learning’ means the learning process of a computer system without or with minimal intervention of human beings. It is a branch of Artificial intelligence. It is not a new term or area of research because the root of its functionality starts years ago in the period of world war II but from last decade it astonished people and became the topic of interest for many giant ventures as future of more opportunities and profits as well. topic of tea
How machine learning works?
As we all know, machine learning is one of the basic parts of AI. It opens up various new options and opportunities in the world of cs for research and developing new things for the people around the world.
Machine learning works on inputs and data in the form of algorithms that perform tasks according to given inputs. It learns from its own self by analyzing data and inputs then making predictions about the results. If the input affects and prediction doesn’t match then the algorithm starts working on it again.
Types or parts of machine learning
Machine learning is an emerging field of cs. That is working in developing intelligence to compute systems. As it is very vast area to learn and work to make it more understandable it has divided into 4 parts; which are as follows :
1. Supervised machine learning
2. unsupervised machine learning
3. semi supervised machine learning
4. reinforcement machine learning.
Supervised machine learning– in this type of learning, trainers use known data for training then execute the task with new information in which the machine identifies the data and works accordingly to learn about new data as well.
Unsupervised machine learning – an unsupervised learning trainer gives the same set of information to a learning system where learners identify and group the same set of information.
Semi supervised machine learning– this type of machine learning includes both types of learning to process data accordingly.
Reinforcement machine learning – the traditional method of data input, analyzing, processing and error detection are followed in this type of learning.
How machine learning can be used ?
All of us have experienced the existence of AI once in a while. Whether it is siri, alexa, google assistant or cortana. All of them work on data and algorithms feeded prior to them and present possible results accordingly. The data used by them while processing the task, was actually in the very large amount. The algorithm works to analyze big data.
Machine learning is working with a futuristic approach. Today big techs like facebook, google, amazon etc using AI and machine learning algorithms to provide filter data to its users world wide.
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