This Presentation will give you an overview about Artificial Intelligence : definition, advantages , Categories of AI, Types of AI, disadvantages , benefits , applications .
We hope it to be useful .
Pattern Recognition is the branch of machine learning a computer science which deals with the regularities and patterns in the data that can further be used to classify and categorize the data with the help of Pattern Recognition System.
“The assignment of a physical object or event to one of several pre-specified categories”-- Duda & Hart
Pattern Recognition System is responsible for generating patterns and similarities among given problem/data space, that can further be used to generate solutions to complex problems effectively and efficiently.
Certain problems that can be solved by humans, can also be made to be solved by machine by using this process.
Introduction to artifcial intelligence
Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. 'Strong' AI is usually labelled as AGI (Artificial General Intelligence) while attempts to emulate 'natural' intelligence have been called ABI (Artificial Biological Intelligence). Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.[3] Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving"
Artificial Intelligence (AI) Interview Questions and Answers | EdurekaEdureka!
(** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-progra... **)
This PPT on Artificial Intelligence Interview Questions covers all the important concepts involved in the field of AI. This PPT is ideal for both beginners as well as professionals who want to learn or brush up their knowledge on AI concepts. Below are the topics covered in this tutorial:
1. Artificial Intelligence Basic Level Interview Question
2. Artificial Intelligence Intermediate Level Interview Question
3. Artificial Intelligence Scenario based Interview Question
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Artificial Intelligence is composed of two words Artificial and Intelligence, where Artificial defines "man-made," and intelligence defines "thinking power", hence AI means "a man-made thinking power.“
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , Categories of AI, Types of AI, disadvantages , benefits , applications .
We hope it to be useful .
Pattern Recognition is the branch of machine learning a computer science which deals with the regularities and patterns in the data that can further be used to classify and categorize the data with the help of Pattern Recognition System.
“The assignment of a physical object or event to one of several pre-specified categories”-- Duda & Hart
Pattern Recognition System is responsible for generating patterns and similarities among given problem/data space, that can further be used to generate solutions to complex problems effectively and efficiently.
Certain problems that can be solved by humans, can also be made to be solved by machine by using this process.
Introduction to artifcial intelligence
Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. 'Strong' AI is usually labelled as AGI (Artificial General Intelligence) while attempts to emulate 'natural' intelligence have been called ABI (Artificial Biological Intelligence). Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.[3] Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving"
Artificial Intelligence (AI) Interview Questions and Answers | EdurekaEdureka!
(** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-progra... **)
This PPT on Artificial Intelligence Interview Questions covers all the important concepts involved in the field of AI. This PPT is ideal for both beginners as well as professionals who want to learn or brush up their knowledge on AI concepts. Below are the topics covered in this tutorial:
1. Artificial Intelligence Basic Level Interview Question
2. Artificial Intelligence Intermediate Level Interview Question
3. Artificial Intelligence Scenario based Interview Question
Check out the entire Machine Learning Playlist: https://bit.ly/2NG9tK4
Follow us to never miss an update in the future.
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Artificial Intelligence is composed of two words Artificial and Intelligence, where Artificial defines "man-made," and intelligence defines "thinking power", hence AI means "a man-made thinking power.“
Artificial Intelligence Short Question and AnswerNaiyan Noor
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
Artificial Intelligence in e-commerce sector. This ppt explain that how can artificial intelligence helps in the growth of E-commerce industry. It includes pros and cons also.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Implementation of humanoid robot with using the concept of synthetic braineSAT Journals
Abstract This paper is elaborate the model of humanoid robot interacts with human being and perform various operation as per the command given by the human being. A humanoid robot having Synthetic brain can able to do Interaction, communication, Object detection, information acquisition about any object, response to voice command, chatting logically with human beings. Object detection will be done by this robot for that purpose there is use image processing concept (HAAR Technique), And to make the system intelligent that is whenever system interact, communicate, chat with human it gives proper response, question / answers there is integrates artificial intelligence and DFA / NFA automata and Prolog language concept for answering logically over the complex and relevant strings or data. Keywords —Humanoid Robotics, Artificial Intelligence, Image Processing, Audio Filtering.
BIOMETRIC BASED ATTENDANCE REGISTRATION AND CONSOLIDATION SYSTEM USING RASPBE...IAEME Publication
Conventionally, in schools and colleges, attendance is taken by the teacher by
calling students names or roll numbers, mark his or hers presence or absence in the
attendance register. Later attendance is fed into a computer and the attendance
percentage is calculated using software in offline mode. This method is time
consuming and also requires more man power. In this project, a portable Biometric
based Attendance Registration and Consolidation System (BARCS) using Raspberry
Pi3 and Amazon Web Server is developed. This handheld biometric attendance
registration device can be carried by the teacher to the classroom to register the
student’s attendance of a particular session through circulation among students. At
the end of a session, attendance data gets stored in a database in the Raspberry Pi
computer. Then, Pi computes the subject wise attendance percentage and sends it to
the Amazon web server for uploading on the developed webpage. The user can view
the subject wise attendance by accessing the webpage. Also an SMS is sent to the
students mobile when their attendance gets registered. The developed system is
intended for programmes wherein students have to meet the minimum attendance
requirements in each subject of the programme in a particular semester/year
JyotPrakash Gugnani, Student of sem 2 from department of journalism and mass communication, JIMS Vasant Kunj II talk about Areas of Artificial Intelligence. Have a Look!! For more updates: visit: jimssouthdelhi.com
This step-by-step guide will show you how to build and use an AI app. Whether you are a researcher, business owner or just curious about AI technology, these instructions will help you navigate the steps of creating an AI system that can transform your industry.
Artificial Intelligence Short Question and AnswerNaiyan Noor
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
Artificial Intelligence in e-commerce sector. This ppt explain that how can artificial intelligence helps in the growth of E-commerce industry. It includes pros and cons also.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Implementation of humanoid robot with using the concept of synthetic braineSAT Journals
Abstract This paper is elaborate the model of humanoid robot interacts with human being and perform various operation as per the command given by the human being. A humanoid robot having Synthetic brain can able to do Interaction, communication, Object detection, information acquisition about any object, response to voice command, chatting logically with human beings. Object detection will be done by this robot for that purpose there is use image processing concept (HAAR Technique), And to make the system intelligent that is whenever system interact, communicate, chat with human it gives proper response, question / answers there is integrates artificial intelligence and DFA / NFA automata and Prolog language concept for answering logically over the complex and relevant strings or data. Keywords —Humanoid Robotics, Artificial Intelligence, Image Processing, Audio Filtering.
BIOMETRIC BASED ATTENDANCE REGISTRATION AND CONSOLIDATION SYSTEM USING RASPBE...IAEME Publication
Conventionally, in schools and colleges, attendance is taken by the teacher by
calling students names or roll numbers, mark his or hers presence or absence in the
attendance register. Later attendance is fed into a computer and the attendance
percentage is calculated using software in offline mode. This method is time
consuming and also requires more man power. In this project, a portable Biometric
based Attendance Registration and Consolidation System (BARCS) using Raspberry
Pi3 and Amazon Web Server is developed. This handheld biometric attendance
registration device can be carried by the teacher to the classroom to register the
student’s attendance of a particular session through circulation among students. At
the end of a session, attendance data gets stored in a database in the Raspberry Pi
computer. Then, Pi computes the subject wise attendance percentage and sends it to
the Amazon web server for uploading on the developed webpage. The user can view
the subject wise attendance by accessing the webpage. Also an SMS is sent to the
students mobile when their attendance gets registered. The developed system is
intended for programmes wherein students have to meet the minimum attendance
requirements in each subject of the programme in a particular semester/year
JyotPrakash Gugnani, Student of sem 2 from department of journalism and mass communication, JIMS Vasant Kunj II talk about Areas of Artificial Intelligence. Have a Look!! For more updates: visit: jimssouthdelhi.com
This step-by-step guide will show you how to build and use an AI app. Whether you are a researcher, business owner or just curious about AI technology, these instructions will help you navigate the steps of creating an AI system that can transform your industry.
Artificial intelligence (AI) is a field of computer science that focuses on solving cognitive programs associated with human intelligence, such as pattern recognition, problem-solving and learning. AI refers to the use of advanced technology, such as robotics, in futuristic scenarios.
Building an AI App: A Comprehensive Guide for BeginnersChristopherTHyatt
"Discover the steps to create your own AI app: Choose a framework, define your app's purpose, collect and prepare data, train the model, integrate a user-friendly interface, and deploy successfully."
leewayhertz.com-How to build an AI app.pdfrobertsamuel23
The power and potential of artificial intelligence cannot be overstated. It has transformed
how we interact with technology, from introducing us to robots that can perform tasks
with precision to bringing us to the brink of an era of self-driving vehicles and rockets
The power and potential of artificial intelligence cannot be overstated. It has transformed how we interact with technology, from introducing us to robots that can perform tasks with precision to bringing us to the brink of an era of self-driving vehicles and rockets. And this is just the beginning. With a staggering 270% growth in business adoption in the past four years, it has been clear that AI is not just a tool for solving mathematical problems but a transformative force that will shape the future of our society and economy.
Artificial Intelligence (AI) has become an increasingly common presence in our lives, from robots that can perform tasks with precision to autonomous cars that are changing how we travel. It has become an essential part of everything, from large-scale manufacturing units to the small screens of our smartwatches. Today, companies of all sizes and industries are turning to AI to improve customer satisfaction and boost sales. AI is the next big thing, making its way into the inner workings of Fortune 500 companies to help them automate their business processes. Investing in AI can be beneficial for businesses looking to stay competitive in a fast-paced business world.
This technology is no longer a matter of science fiction. Instead, we see artificial intelligence in every part of our lives. Smart assistants are on our phones and speakers, helping us find information and complete everyday tasks. At work, chatbots are affiliated with the Customer Support Team, with estimates that they will be responsible for 85% of customer service by next year.
Artificial intelligence can be defined as the branch of computer science that is concerned with automation of computer system in an intelligent manner as like as humans.
Artificial Intelligence focuses on developing computer programs to solve complex problems and process.
What humans can do, now can be performed by machines too just, because of artificial intelligence.
AI is used because, it saves a whole lot of time and manpower.
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IQ Training’s AI & Deep Learning with Tensorflow course will provide you with in-depth knowledge of deep learning libraries, Machine learning Paradigms, Neural Network Architecture. This course empowers you to master various concepts like vectorization, binary classification, artificial neural networks, and logistic regression. Our Industry experts designed in such a way that learners will easily understand and implement the concepts of deep learning, execute algorithms of deep learning, computational Graphs unfolding, Boltzmann Machines and Deep Belief Networks.
Unlocking the Potential of Artificial Intelligence_ Machine Learning in Pract...eswaralaldevadoss
Machine learning is a subset of artificial intelligence that involves training computers to learn from data and make predictions or decisions based on that data. It involves building algorithms and models that can learn patterns and relationships from data and use that knowledge to make predictions or take actions.
Here are some key concepts that can help beginners understand machine learning:
Data: Machine learning algorithms require data to learn from. This data can come from a variety of sources such as databases, spreadsheets, or sensors. The quality and quantity of data can greatly impact the accuracy and effectiveness of machine learning models.
Training: In machine learning, training involves feeding data into a model and adjusting its parameters until it can accurately predict outcomes. This process involves testing and tweaking the model to improve its accuracy.
Algorithms: There are many different algorithms used in machine learning, each with its own strengths and weaknesses. Common machine learning algorithms include decision trees, random forests, and neural networks.
Supervised vs. Unsupervised Learning: Supervised learning involves training a model on labeled data, where the desired outcome is already known. Unsupervised learning, on the other hand, involves training a model on unlabeled data and allowing it to identify patterns and relationships on its own.
Evaluation: After training a model, it's important to evaluate its accuracy and performance on new data. This involves testing the model on a separate set of data that it hasn't seen before.
Overfitting vs. Underfitting: Overfitting occurs when a model is too complex and fits the training data too closely, leading to poor performance on new data. Underfitting occurs when a model is too simple and fails to capture important patterns in the data.
Applications: Machine learning is used in a wide range of applications, from predicting stock prices to identifying fraudulent transactions. It's important to understand the specific needs and constraints of each application when building machine learning models.
Overall, machine learning is a powerful tool that can help businesses and organizations make more informed decisions based on data. By understanding the basic concepts and techniques of machine learning, beginners can begin to explore the potential applications and benefits of this exciting field.
What is Artificial Intelligence and Machine Learning (1).pptxprasadishana669
Artificial Intelligence refers to the development of computer systems that can perform tasks that typically require human intelligence. These tasks include problem-solving, learning, perception, speech recognition, and language translation, among others. Machine Learning is a subset of AI that focuses on the development of algorithms and statistical models that enable computers to perform tasks without explicit programming.
Artificial Intelligence and Machine Learning.docxNetiApps
People tend to use artificial intelligence (AI) and machine learning (ML) interchangeably, specifically, when discussing huge data, predictive analytics, and other arithmetical transformation topics. This confusion is bound as artificial intelligence and machine learning are relatively used. Nonetheless, these trending technologies differ in several ways, including scale, tools, applications etc.
Click the link to read more - https://www.netiapps.com/blogs/artificial-intelligence-machine-learning#
What is artificial intelligence Definition, top 10 types and examples.pdfAlok Tripathi
What is artificial intelligence?
Although many definitions of artificial intelligence (AI) have emerged over the past few decades, John McCarthy provided the following definition in this 2004 paper (link is located outside ibm.com): MASU. Especially intelligent computer programs. It deals with the same task of using computers to understand human intelligence, but AI does not need to be limited to biologically observable methods.
Definition of artificial intelligence
Artificial intelligence is the imitation of human intelligence processes by machines, especially computer systems. Typical applications of AI include expert systems, natural language processing, speech recognition, and machine vision.
How does artificial intelligence (AI) work?
As the hype around AI grows, vendors are making efforts to promote how AI is used in their products and services. Often, what they call AI is just a component of technologies like machine learning. AI requires specialized hardware and software infrastructure to write and train machine learning algorithms. Although no single programming language is synonymous with AI, Python, R, Java, C++, and Julia have features that are popular among AI developers.
Generally, AI systems work by ingesting large amounts of labeled training data, analyzing correlations and patterns in the data, and using these patterns to predict future situations. This way, given examples of text, chatbots can learn to generate authentic-like conversations with people. Image recognition tools can also learn to recognize and describe objects in images by considering millions of examples. New and rapidly advancing generic AI technology allows you to create realistic text, images, music, and other media.
Artificial intelligence programming focuses on cognitive skills such as:
• Learn: This aspect of AI programming focuses on taking data and creating rules to turn it into actionable information. Rules, called algorithms, provide step-by-step instructions for computing devices to accomplish a particular task.
• Logic. This aspect of AI programming focuses on selecting the appropriate algorithm to achieve the desired result.
• Self-correction: This aspect of AI programming is designed to continuously improve the algorithms and provide the most accurate results possible.
• Creativity. This aspect of AI uses neural networks, rule-based systems, statistical methods, and other AI techniques to generate new images, new text, new music, and new ideas.
Differences between AI, machine learning and deep learning
AI, machine learning, and deep learning are common terms in enterprise IT, especially when companies use them interchangeably in marketing materials. But there are differences too. The term AI was coined in the 1950s and refers to the emulation of human intelligence by machines. A constantly changing set of capabilities is incorporated as new technologies are developed. Technologies falling under the umbrella of AI include machine learning and deep lea
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Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Comparison Between Artificial Intelligence, Machine Learning, and Deep Learning
1. Comparison between Artificial Intelligence, Machine Learning, and Deep
Learning
Presently, Artificial Intelligence is extensively used in almost all the business industries. It is a science
and engineering of developing an intellectual framework and we can say it is the future of almost all
the business industries. Artificial intelligence has turn into the critical part of our daily routine. It is
used in several applications such as speech recognition, video games, smart cars, fraud detection,
etc. Along with artificial intelligence, machine learning, and deep learning have the essential part of
various businesses. Nowadays, everyone is familiar with all these words. The term artificial
intelligence, machine learning and deep learning are normally used randomly and conversely. They
all are nearly associated with each other, however, have a few contrasts. This post presents a
comparison between deep learning, machine learning and artificial intelligence. Let us have a look at
the below image.
Source:medium.com
2. The image shows that deep learning is a subgroup of machine learning and machine learning is a
subgroup of artificial intelligence. Moreover, we can say that artificial intelligence is the parent of
machine learning and deep learning.
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Artificial Intelligence:
Artificial intelligence is basically the branch of computer science which deals with the modeling of
intelligent behavior in the computer system. We can say it is the skill of making the smart computer
to mimic the human behavior. It makes the computer system smart in such a way that, it is able to
finish the tasks which are usually carried out by humans, such as speech recognition, decision-
making, visual perception and transformation between languages. Artificial intelligence can be
accomplished by understanding how the human brain thinks, how human acquires the knowledge,
how they adapt and work when they are trying to solve a particular problem and on the basis of the
result of this study an intelligent software system can be developed. The applications of artificial
intelligence allow the machines to carry out various human tasks with specific improved skills. As
present age is the age of big data which makes the use of AI more important. With the increase of
data in a business and the continuous birth of new data, it will be impossible for the human being to
think, sort, analyze, evaluate and reach a fruitful decision. Well, there are two main objectives of the
artificial intelligence – first is to develop the expert systems, i.e., the systems which are able to show
the behavior, learn, explain and give guidance to its users and the second is to implement the brain
of human in machines i.e. developing a system in such a way that understand, think, act and learn
like the humans. In this real world, the knowledge contains some unwanted properties such as huge
volume, not well-organized and well-formatted and its continuous changing status. With the help of
AI methods these properties can be organized in a proper way and utilize the knowledge proficiently
in such a manner that:
• It should be easily adaptable to correct the errors.
• It should be beneficial in certain situations however it is imprecise or incomplete.
With the help of these AI techniques the speed of execution of the complicated program can be
raised.
Applications of Artificial Intelligence:
The artificial intelligence can be used in various fields such as:
1. Natural Language Processing: With the help of AI, it is possible to intermingle with the computer
that only understand the natural language of the humans.
2. Gaming: AI plays an important role in planned games such as chess, poker, etc. where the
machine is capable of thinking the various possible situations based on experimental knowledge.
3. Speech recognition: With the help of AI, some intelligent systems are able to hear and understand
the language in terms of sentences and their significance. It is capable of managing various
pronunciations, jargon words, some alteration in human’s voice, and background sound etc.
4. Handwriting recognition: This software is capable of reading the text written on paper using a
pen. It is capable of identifying the shapes of the letters and convert it into editable text.
5. Also the application of AI can be seen in the field of vision systems and intelligent robot. With the
help of vision systems it is easy to understand, interpret the visual inputs given to the computer. And
the intelligent robots are capable of performing the tasks provided by the human.
Advantages of Artificial Intelligence:
There are several advantages of using artificial intelligence, which assist the humans to carry out
various difficult and monotonous tasks. The AI machines can work continuously without any break.
Let us now observe some of the benefits of AI.
3. 1. With the help of AI, the human participation in particular jobs is reduced.
2. The AI machines are capable of performing the task, faster and quickly without any errors.
3. AI is used in the healthcare field as well. With the help of Artificial Intelligence,the doctors are
able to carry out long medical processes efficiently, and also the researchers can get the feedback
easily related to the side effects of various medications.
4. These machines can perform the task continuously 24 by 7 without any break and relaxation. This
is the biggest advantage of AI over humans.
5. With the utilization of AI our life has become much easier.
Machine Learning:
It is known to us that machine learning is the subset of artificial intelligence. We can say that it is the
succeeding logical step in AI. The basic idea in machine learning is about creating algorithms, which
produces some output values based on some input values using the statistical analysis. It aims to
search, the pattern in a huge amount of data and takes the necessary actions accordingly. It is
basically a technique of data analytics that elucidates the computers to perform the tasks based on
the previous experience. Machine learning is an extension of artificial intelligence which is based on
the fact that the systems can acquire knowledge from the data, recognize patterns and make
decisions without human involvement. The main objective of the machine learning is to recognize
the data structure and apt that particular data into models which can be easily understood and used
by the people. The machine learning algorithms allow the computers to get trained on provided data
inputs and utilized statistical analysis to provide the output values within a particular series. Due to
this, the computer can create models using the sample data so that the decision-making processes
can be automated easily which are based on the data inputs. There are two types of machine
learning, i.e. supervised and unsupervised learning.
Application of Machine Learning:
Similar to artificial intelligence, the machine learning techniques also have several applications. Few
of them are:
1. Machine learning is used in the field of marketing and sales to analyze the sales history and
promote other items.
2. It is used in banking and other financial services to detect the frauds.
3. It is used in transportation and education.
4. Machine learning can also be used in the field of automatic speech and image recognition and
natural language processing.
5. It is used in the healthcare industry, with the help of its sensors and wearable devices the
patient’s health can be measured in existent time.
6. Machine learning is used by search engines to enhance their services.
Advantages of Machine Learning:
Machine learning has provided several benefits to the user, such as:
1. Machine learning allows the reduction in time cycle and provides efficient resource utilization.
2. It has the capacity to manage multi-dimensional and variety of data in the dynamic and unreliable
environment.
3. There are some tools which are available to provide the constant quality enhancement in large
and complex process environments.
4. The usability of algorithms for several applications can be increased with the help of the source
program.
4. Deep Learning:
As machine learning is the subset of AI, similarly deep learning is the subset of machine learning. In
order to carry out machine learning tasks in multiple ways, deep learning uses a series of algorithms.
Deep learning depends on the artificial neural network’s framework which needs a lot of
computational power to learn and have various layers inserted in it. As there exist many deep layers
of learning, so it leads to the name deep learning. It requires a huge amount of data sets and can
become more expensive. Deep learning has the capacity to analyze and judge the information to
reach a logical decision, and define solutions and learn from errors. Thus if a machine receives more
data, then it is more capable of learning.
Application of Deep Learning:
Deep learning also has several applications, some of them are:
1. Similar to machine learning, deep learning is also used in the healthcare industry.
2. It is used in voice search and voice-activated intelligent supporters.
3. It is used to add sound automatically to the silent movies.
4. Deep learning is also used in the automatic transformation of text and pictures.
5. The other applications are predicting earthquakes, advertising, and automatic colorization.
Advantage of Deep Learning:
Deep learning has one major advantage over machine learning algorithm that it is able to produce
new features without human involvement from the partial series of features which are placed in the
training data set. With the help of these new features, a lot of time of data scientist can be saved on
working with big data and dependency on this particular technology.
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Conclusion:
Thus, artificial intelligence, machine learning and deep learning can be used conversely. The artificial
intelligence is a wider concept, that addresses the use of computers to imitate the intellectual
functions of human. Artificial intelligence is divided into three categories, narrow AI to carry out a
particular task, artificial general intelligence that can mimic the thinking of a human and super-
intelligent AI, in which the AI exceed the intelligence of humans. Machine learning is a subset of
Artificial intelligence which shows its most fruitful use cases. It includes learning from data to make a
proficient decision and allows an AI to be applied to a wide range of problems. On the other hand
deep learning is a subset of machine learning. In order to train the models on a huge set of data it
employs the power of neural network and also it makes the exact predictions in various fields such
as image, face and voice recognition.