Learn Artificial Intelligence: Train An AI Engineer To Play A Snake Game Using Python

Posted on October 10, 2022October 10, 2022 by Imarticus Learning

Learn Artificial Intelligence: Train An AI Engineer To Play A Snake Game Using Python

Artificial Intelligence (AI) studies how to teach computers to do things that require intelligence when done by humans. The primary objective of AI is to create an AI system capable of performing cognitive processes associated with human minds, such as problem-solving and learning.

AI has become a household name thanks to movies like Terminator 2: Judgment Day, in which artificial intelligence seeks to destroy all humans; or Robot, where AI finds love and becomes more creative than any human artist ever could be; or even Wall-E, where humanoid robots are designed for manual labor but end up saving the world!

However, there are many different ways to use artificial intelligence besides these fantastical scenarios—not all involve destroying humanity either!

What is Artificial Intelligence?

Artificial intelligence is a broad field of computer science concerned with developing intelligent computer systems. AI research is concerned with the subject of how to create machines capable of intelligent behavior.

In practice, AI applications may get used in a variety of ways, including:

Machine learning is a unique way of training computers to learn from data without directly programming them.
Natural language processing entails teaching computers to comprehend human language and respond naturally.

Predictive analytics is a technique that uses artificial intelligence to forecast future events, trends, and behaviors.
Computer vision is a computer’s capacity to perceive and comprehend digital pictures.

What Are The Different Types Of Algorithms Used For Building AI Systems?

There are many different types of algorithms used for building AI systems. These are machine learning, deep learning, neural network, reinforcement learning, and natural language processing.

Game playing and expert systems also use some algorithms to perform their tasks optimally. You can use genetic algorithms (GA) for optimization problems with no known solution or when there are too many variables involved in finding a solution for problems such as scheduling issues.

Artificial Intelligence is indeed the future. It will help us make our lives easier and better. And if you want to use this in your daily life, all you have to do is get started with the basics.

The famous Snake game is one example of this. This classic game has been around for decades, but recent AI advancements have enabled an entirely new way to play.

AI can generate a first-person view of the game environment instead of the standard top-down view. This gives the user a new viewpoint on the game and creates a more immersive experience.

Artificial intelligence may also get utilized to generate more lifelike snake motions. Traditional Snake games employ simple pixelated visuals, but artificial intelligence (AI) may generate realistic snakes that slither and coil like the real thing.

Explore AI and Machine Learning courses with Imarticus Learning.

Become an AI engineer by attending the E & ICT Academy deep learning Artificial Intelligence certificate course. Students will benefit from this AI course as they prepare for jobs as data scientists, data analysts, machine learning engineers, and AI engineers.

Course Benefits For Learners:

Students work on 25 real-world projects to get industry experience and prepare for a rewarding career in data science.
You may impress employers and exhibit your abilities with an E & ICT Academy, IIT Guwahati, and an Imarticus Learning-endorsed credential.
This IIT artificial intelligence course will assist students in obtaining lucrative professions in artificial intelligence and machine learning.

Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon.

Introducing Certification in Artificial Intelligence and Machine Learning in Collaboration with E & ICT Academy, IIT Guhawati and Imarticus Learning

Posted on October 7, 2022October 7, 2022 by Imarticus Learning

Introducing Certification in Artificial Intelligence and Machine Learning in Collaboration with E & ICT Academy, IIT Guhawati, and Imarticus Learning

Machine learning is powered by AI. With ML, we can power programs that are easily updated and modified to adapt to new environments and tasks- resulting in quick progress on difficult projects. ML and AI are almost synonymously used in tandem when it comes to the latest tech trends. And, AI has disrupted many industries forever – like SaaS, Manufacturing, Defense, Analytics, public sector, and so on.

If you learn machine learning through the best Machine Learning & AI course, you are likely on a fast and high-growth career trajectory.

Here is why!

#1. ML & AI Are Skills of the Future

Skills in ML can affect your long-term employment prospects because the field is projected to experience rapid growth.

With the emergence of advanced technologies like the Internet of Things (IoT), Machine Learning is experiencing a certain surge in demand and popularity.

If you learn machine learning by taking up data science certifications, there is an increase in the probability that you will have better job prospects as compared to someone without ML skills.

#2. Solve Real-World Problems

There is a lot of talk about how AI will replace jobs, but the truth is it will create new job opportunities. As an ML engineer, for instance, you get to work on projects that have a big impact in the real world and lead to business solutions that are meaningful.

#3. Versatile Growth Opportunities in the Data Sciences

Machine learning and artificial intelligence (ML &AI) skills are beneficial to a data science career. Both positions give you the opportunity to let your knowledge of both fields expand. Switching back and forth between roles can quickly enable you to become an invaluable resource in today’s rapidly changing world.

You want to have an advantage as early as possible so that you can learn about solving new and undiscovered problems. When the time comes, these skills will be in great demand and allow you to secure a career path on the rise.

What does a growth path in this domain look like?

Typically, a machine learning engineering career path begins with being a Machine Learning engineer. Machine learning engineers develop applications that automate common tasks previously done by humans and take care of the repetitive ones for humans to do efficiently without error.

When you earn a promotion as an ML engineer, you are then promoted to be an ML architect! Their responsibility is to develop and design prototypes for applications that need development.

There are a few other roles in the field which one could take on as well. These include ML data scientists, ML software engineers, senior software architects, and more.

New tech arenas keep developing into this space. So, keep your interest, skills, and industry demands aligned for the best growth!

How to make a successful career in AI & ML?

Want to learn machine learning with the best Machine Learning & AI course?

Imarticus brings to you the class-leading AI & ML certification in collaboration with the E&ICT Academy of IIT-Guwahati.

Our highly-rated program has fostered hundreds of successful professionals serving the industry worldwide. Your chance to be a part of this prestigious career trek begins with us. Enroll with Imarticus now!

4 key differences between AI courses and robotics

Posted on June 21, 2022September 7, 2022 by Imarticus Learning

4 key differences between AI courses and robotics

Artificial Intelligence and robotics are branches of science that people often get confused with. People think that they are related to each other, that one is a branch of the other. The fact is, though they serve some similar purposes of automation of some systems, they are entirely different.

Those who want to pursue a career in either of these must understand this difference. One should not enrol for an AI certification thinking that it deals with making robots. Let’s find out what are the main differences between AI and robotics.

Artificial Intelligence vs Robotics

An artificially intelligent robot is what is making the public confused about the relationship between AI and robotics. The main differences between them are mentioned here.

Robotics is a branch of engineering while Artificial Intelligence is a part of computer science.
Robotics creates robots that have a physical form, while AI creates smart machines that can solve problems for humans or make their tasks simpler.
Robots are programmed to do different tasks which enables them to be autonomous or semi-autonomous. They cannot make changes on their own. On the other hand, algorithms can make modifications based on the input they get, using machine learning or similar tools.
Artificial intelligence is widely used in the daily lives of the public while robots are used in selected areas, which is very low at the moment.

At the same time, it should be noted that not all robots that we know about have a physical form. The term ‘bots’ refers to robots but the one that most of us see in our day-to-day lives refers to the chatbots, search engine bots, etc are software and are only part of the digital world so they may not be called real robots.

Where do AI and Robotics meet?

AI and robotics meet where Artificial Intelligence is used in the programming of the robots to make them intelligent. They are known as intelligent robots where the robots make the physical part and the AI forms its ‘brain’. Such robots can move, pick up things, and can also keep them at their specific places.

What helps the robot here are AI algorithms and a camera that helps determine the usual places. AI here almost works as a ‘sixth sense’ where the robot can be sensitized to use its various ‘senses’.

Future of AI in robotics

AI and robotics are here to stay for a long time. This combination could perform several tasks very well, regardless of how complex they seem to be. People could own a robot and even be able to train them to do customized jobs for them. Intelligent robots could be useful in various industries such as delivery systems, agriculture, etc.

One can find several AI and Robotics courses. Those who want to pursue that career could start with the Artificial intelligence and Machine Learning course that introduces them to all the latest technologies and tools in this field. The AIML course at Imarticus is conducted by the IIT Guwahati. Participants for this course will be getting lectures directly from the academic professors as well as from the experts in the industry.

Conclusion

One of the cons of the future of AI and robotics is the lack of enough creativity to practically use them. To counter this, we need more interested people in the AI industry. The primary step towards this should be the Artificial Intelligence certification, both entry-level and intermediate. At Imarticus, one can find one of the finest courses that will provide expertise, experience, and proper guidance. Enroll now!

Unsupervised V/S Supervised Learning: The Ultimate Tech Battle

Posted on May 5, 2022September 16, 2022 by Imarticus Learning

Unsupervised V/S Supervised Learning: The Ultimate Tech Battle

To understand machine learning, it is crucial to understand the type of data and how to utilize it to the best of our efforts to solve real-world problems. This is where AI ML courses provide the proper guidance needed to get started. Within artificial intelligence and machine learning, supervised and unsupervised learning are the two basic approaches to handling data; these patterns can help you predict future behaviour or outcomes.

Supervised Learning

Supervised learning is a machine learning technique that allows computers to learn from examples. In supervised learning, the computer is provided with a set of training data (a list of inputs and corresponding outputs) to learn how to map input data into output data. The most common application of supervised learning is for classification—the computer learns to recognize patterns in the data and make predictions based on those patterns.

The most common supervised learning applications are prediction, classification, and regression. Classification is used when you want to assign an object or a piece of information into one or more categories. In contrast, regression is used when you want to predict the values of some variable(s) based on other variables.

Supervised learning has many applications in the real world, including

–Prediction: Predicting what will happen next.

–Classification: Identifying categories and subcategories of items.

-Regression: Finding trends based on historical data.

Unsupervised Learning

Unsupervised machine learning is a type of AI that enables a computer to learn and make predictions without being given any specific examples of correct answers or any input data that has been marked as correct.

In this type of learning, the algorithm is provided with unlabeled data and must be able to figure out how to group it into meaningful groups. One example would be grouping similar images into categories like “cats” or “not cats.” Another example would be identifying objects within an image, like a dog or a cat.

Unsupervised learning is a type of machine learning that involves analyzing data without any prior knowledge about the structure or patterns in it. In unsupervised learning, an algorithm will attempt to find patterns in the data and use them to make predictions.

Unsupervised learning is used in natural language processing, computer vision, and other fields. Unsupervised learning can be used for many different purposes, but there are some common applications including:

Discovering hidden variables
Identifying relationships between variables
Identifying anomalies in data, predicting values
Finding clusters or groups within a data set.Here’s what both of them have to offer against the other-

Unsupervised	Supervised
Unsupervised learning, also known as self-organized learning or unguided learning, means that you do not give any specific training examples to your model. You just provide it with a set of data and let it learn from it. This type of learning is usually used for clustering and dimensionality reduction.	It is also called inductive inference because we use training data to learn how to generalize from our observations about some phenomenon in order to make good predictions about future events involving that same phenomenon.
The algorithm is given a set of data and must identify patterns within it. For example, if you have a list of songs and their genres, then the goal would be to determine the genre of each song without any other information.	Here, an algorithm is given a dataset along with metadata—information about how it should be interpreted—and then learns to categorize new examples according to what it has learned from its training data. For example, if you have training data consisting of images labeled as “cat” or “dog,” then the goal would be for your algorithm to learn what category each image belongs in so that when presented with new images, it can correctly identify them as well.
This type of machine learning has many applications in fields such as medicine, where it can be used to identify cancerous cells in medical images; finance, where it can be used to predict stock prices; and retail, where it can help identify products likely to be purchased by customers.	Supervised learning can be used to build predictive models that can be used in many different business applications, such as fraud detection and customer churn prediction. It can also be used for modeling time series data, recommendation systems, and classification problems.

Unsupervised learning is ideal for finding hidden patterns in your data. These patterns can help you predict future behavior or outcomes. You can use unsupervised learning to find clusters of similar customers, for example, and then use those clusters to predict what products they’ll buy next. Or you can use them to find correlations between different variables—like age and income—and then use those correlations as a starting point for further research into specific groups of people who share those characteristics.

Supervised learning is also useful because it helps you build classifiers—a fancy word for “systems that classify things.” You might want to create a classifier that identifies whether or not someone has cancer-based on their medical records (which would be an example of supervised learning) or one that identifies if someone is behaving differently based on their social media activity.

To learn more about the prediction techniques and the integrated course offered by Imarticus learning, get in touch through our website or our offline learning centers near you. This course is led by a prestigious IIT Guwahati college. Get you the best coaching needed to boost your career growth; get in touch with our experts today!

The fourth industrial revolution: The primer on Artificial Intelligence and Machine Learning courses

Posted on March 16, 2022 by Imarticus Learning

We are living in the fourth industrial revolution. It is a time when technology is rapidly changing and evolving. One of the most critical aspects of this revolution is artificial intelligence (AI) and machine learning (ML). These technologies impact every industry and will continue to do so in the future. If you want to stay ahead of the curve, it’s essential to understand these technologies and learn how to use them.

This blog will provide a primer on AI and ML courses. We will also discuss why it’s vital for you to learn about these technologies.

The fourth industrial revolution is a period of rapid technological progress and digital transformation. The fourth industrial revolution brings in a new age of automation, data-driven decision-making, and intelligent machines due to innovative technologies such as artificial intelligence (AI) and machine learning (ML).

What are the key drivers of the fourth industrial revolution?

The key drivers of the fourth industrial revolution include:

Rapid technological advancement and digital transformation
The emergence of new technologies such as AI and ML
Increased connectivity and interdependence among countries, businesses, and individuals
Shifting demographics (e.g., an aging population)
Increased volatility, uncertainty, and risk
Rising income inequality

As we stand on the brink of a fourth industrial revolution, it’s more important than ever to understand the technologies driving it. One of the transformative technologies of our time is artificial intelligence (AI). From how we work and communicate to how we travel and entertain, AI has the potential to change almost every aspect of our lives.

What is the future of AI and machine learning?

The future looks bright for Artificial Intelligence (AI) and Machine Learning (ML), with both technologies experiencing exponential growth in recent years. The applications of AI and ML are limitless, spanning across industries such as finance, healthcare, manufacturing, retail, transportation, and logistics. Businesses need to gain a strong understanding of AI and ML to stay ahead of the curve and seize the opportunities brought about by these technologies,

Fortunately, there are many courses available that can provide this essential knowledge. Here is a primer on the best AI and ML courses, perfect for those looking to get started in this fascinating field.

Discover the AIML course by Imarticus Learning:

This Artificial Intelligence and Machine Learning certification combine the E & ICT Academy, IIT Guwahati, and the best industry leaders. This 9-month course will help students prepare for data scientists, data analysts, machine learning engineers, and AI engineers.

This course will help students strengthen their fundamental AI competencies. Students can now use the Expert Mentorship service to build a practical understanding of artificial intelligence and machine learning. Take advantage of real-world projects from a variety of sectors. This course has a long way to go towards assisting you in seizing lucrative job possibilities in the hot fields of artificial intelligence and machine learning.

Course Benefits for Learners:

Prepare for a fascinating data science profession by acquiring in-demand data science and AI abilities with 25 real-world projects that give employers diverse industry exposure.
Impress employers and display your AI skills with an E & ICT Academy, IIT Guwahati, and an Imarticus Learning-endorsed certificate.
Students can now participate in live online seminars and discussions with one of the finest instructors in India.

Here’s how AI is used in Executive job search

Posted on March 7, 2022March 7, 2022 by Imarticus Learning

Artificial intelligence (AI) has the potential to simplify the process of searching for a job. There are various ways through which artificial intelligence can assist candidates and businesses in the recruitment and hiring process. Currently, corporate sectors are using artificial intelligence in the early stages of recruitment.

This helps in increasing the pace of screening resumes and scheduling interviews. To find a suitable job for a candidate, AI software requires access to simple data about his/her expertise, career history, and location.

A candidate searching for a job can use artificial intelligence job search tools to find an open position in a firm or a company that matches his/her skill set. This helps save a significant amount of time and effort for a job seeker.

Artificial intelligence assists organizations in avoiding the unavoidable biases that slide into the recruitment process while deciding the deserving candidates for the position. Furthermore, it assists businesses in identifying growth opportunities for existing employees who are ready for future promotions.

Did you know the term ‘artificial intelligence’ was first coined in 1956? But, it wasn’t accepted by society and went through a lot of controversies until 1997 when IBM’s Deep Blue computer became the first artificial intelligence computer to defeat Russia’s chess grandmaster Garry Kasparov.

How Does Artificial Intelligence Work in Recruitment For Executive Jobs?

Artificial intelligence helps recruiters who cannot go through each and every resume by analyzing the data of resumes based on keywords, qualifications, and other talents required for the job. Most of the time, recruiters are less in number, which makes it more difficult for them to manage the entire process alone. Therefore, they rely on artificial intelligence in getting the best-fit candidate in their team.

Artificial intelligence uses the following algorithm in job search:

Matching: AI matches the resumes and the keywords instilled in them, such as job title, etc.
Screening: AI screens the resume of candidates based on their data which helps in deciding if the candidate’s talents match the requirement of the job posted. These talents are mainly educational background, work experience, location, specialization, etc.
Response: AI has increased the scale of responses given to candidates. In the traditional approach to recruitment, a plethora of candidates applied for the job by sending their resumes which the recruiters used to check manually because of which they used to miss looking into a few resumes.Hence, those candidates get skipped in receiving a response from the company’s hiring board. But, now with the help of artificial intelligence, a recruiter easily scans the candidate’s data without going through the resume and picks the suitable candidate to whom the artificial intelligence sends a response regarding the interview.

Tips For Job Seekers to go Past The Artificial Intelligence Process

While preparing your resume or cover letter make sure to add the keywords that match the terminology of the posted job.
Ensure the resume is readable and easy to skim through, and that it does not sound like an automated machine.
Prepare for the interviews taken by the artificial intelligence bots. These bots would not give you a chance to rectify what you say during the interview but will focus on how you say it.

We know that artificial intelligence is the future of technology, but presently there is a shortage of workforce in the field. So, if anyone is interested in starting a career in artificial intelligence, then he/she can be certain about a promising future since almost every field is trying to get upgraded with an AI certification program.

Obtaining an artificial intelligence certification has become easy since many related courses are made available online by various well-reputed educational institutions such as IITs in India. To pursue these AICTE approved courses, students need to have a basic knowledge of computer language and programming to join the IIT AI ML course.

Indisputably, artificial intelligence will play a crucial role in the upcoming boom in the recruitment industry. So, if you want to be a part of it, then join Imarticus’ artificial and machine learning course, which is designed by IIT Guwahati and will give you deep insights into artificial intelligence.

Developing digital health care solutions with an artificial intelligence and machine learning course

Posted on February 11, 2022February 14, 2022 by Imarticus Learning

In the current times, digitization is seen in every sector, and healthcare organizations are not far behind. Artificial intelligence with machine learning and algorithms is the newest aspect of the technological developments that can help to automate various processes.

If you are interested in implementing AI in healthcare, you can opt for Imarticus Learning’s artificial intelligence and machine learning course. The course includes relevant use of technology across industries, including healthcare.

How to Implement Artificial Intelligence and Machine Learning in Healthcare?

Artificial intelligence has various roles in the healthcare industry. If you choose to get an artificial intelligence certification, you will learn more about the following aspects.

Prediction of Treatments

Artificial intelligence and machine learning can be implemented for the accurate analysis of patient information. AI solutions can analyse medical conditions and help doctors arrive at accurate treatment plans that will be beneficial to the patients. While reviewing all medical information is necessary for correct diagnosis, doing so manually increases workload and may even lead to errors. Artificial intelligence and machine learning can automate specific processes and ensure error-free treatment plans.

Improvement of Workflow

From the IT infrastructure in healthcare organizations to diagnostic tasks, workflows can be automated and optimized. This will improve business processes and ensure better outcomes. All organizational tasks will be seamless and less time-consuming.

Detection of Anomalies

Most healthcare organizations include digital databases and rely on workflow automation. While AI can assist in automation, it can also monitor the entire system. Failure of systems in any industry leads to loss, however, in the healthcare industry, anomalies can lead to loss of lives and not just revenue. Therefore, it is important to use artificial intelligence and machine learning tools to detect gaps within the system so that professionals can take better precautions.

Introduction of Opportunities for Clinical Trials

While artificial intelligence solutions are capable of predicting treatment plans through a thorough analysis of symptoms, they can also assist in clinical trials. Artificial intelligence can be used to determine if certain patients are suitable candidates for trials. Such solutions can also help doctors predict patient responses to trials. AI and machine learning create space for safer clinical trials by ensuring that patients can withstand treatments.

How Can Imarticus Learning’s Al ML Course Prepare You for a Career in Healthcare?

If you wish to enter the healthcare sector and work in the digitization of healthcare solutions, then Imarticus Learning’s Certification in Artificial Intelligence & Machine Learning is a great option. Our course is in collaboration with E&ICT Academy and IIT Guwahati. So, you will have access to lectures and curricula designed by renowned academicians and industry professionals.

At Imarticus Learning, we ensure that the IIT AI ML course prepares students for a long and rewarding career in data science and machine learning engineering. You will be attending live sessions for eight hours every week and we encourage you to interact with all teachers and peers. Imarticus Learning creates opportunities for students to network and hones their soft skills while preparing for work in the industry.

To ensure hands-on experience, we offer twenty-five projects that are based on real business issues and more than one hundred assignments.

The certificate course in artificial intelligence and machine learning at Imarticus Learning is ideal for students who have completed graduation in computer science, engineering, statistics, mathematics, science, or economics. If you have a minimum of 50%, you can enroll in our program and receive education and industry training from experts.

Why Are Companies Considering Candidates With An Artificial Intelligence and Machine Learning Certification?

Posted on September 24, 2021April 1, 2024 by Imarticus Learning

Artificial Intelligence has expanded at an exponential rate in recent years, despite significant progress in the field. In the field of computer science, AI practices can be found everywhere. It provides you with an idea of how many different ways a computer system can be designed.

It is designed to carry out the cognitive functions that humans have specified.

This indicates that the scope of an artificial intelligence and machine learning course is enormous, and AI has potential that is currently beyond human grasp.

Scope of An Artificial Intelligence and Machine Learning Course in India

Artificial Intelligence has enormous potential to transform every sector of the economy for the greater good.

AI encompasses a wide range of technologies, including self-improving algorithms, machine learning, big data, and pattern recognition, to name a few. There will be few industries or sectors left unaffected by this potent weapon in the not too distant future. This is why online Artificial Intelligence courses are becoming increasingly popular in India.

With each passing day, the gap between the number of AI professionals required and those available widens. Corporations are spending money to train their existing employees on Artificial Intelligence technologies. However, the demand is far higher.

Learn AI

Certification In Artificial Intelligence & Machine Learning

Learn AI via 25 in-class, real-world projects focused on offering exposure to various industries. This 9-month program will help you prepare for the roles of Data Scientist, Data Analyst, Machine Learning Engineer, and AI Engineer.

This machine learning certification program was established in collaboration with the E&ICT Academy, IIT Guwahati, and industry professionals to give an optimum learning outcome,

This course will strengthen your core abilities, allow you to take advantage of our Expert Mentorship program, and give you a practical grasp of AI and Machine Learning.

Data Science Prodegree

Develop your knowledge of Data Science ideas and build robust models to generate relevant business insights or forecasts with a working knowledge of critical Data Analytics technologies such as Python, R, SQL, and Tableau in these 14 in-class and industry-oriented projects.

PGP In Digital Marketing

Our Digital Marketing Postgraduate course is meant to provide you with a more in-depth and practical understanding of Digital Marketing ideas. The postgraduate program takes a collaborative approach that emphasizes several Capstone projects, job-specific skills, and guaranteed job interviews.

This course will prepare you from beginning to end to start or advance your career in the Digital Marketing segment, including resume building, mock interviews, job leads, and references,

making it an ideal Digital Marketing course with a strong focus on placements to help you land your dream job.

Post Graduate Program in Data Analytics & Machine Learning

This machine learning certification program is for recent graduates and early career professionals interested in pursuing a career in Data Science and Analytics, the most in-demand job skill.

To become job-ready, master the fundamentals of data analytics and machine learning, as well as the most in-demand data science tools and methodologies.

With this job assured program, you’ll learn Python, SQL, Data Analytics, Machine Learning, and Data Visualization. After completing the course, students are promised interview opportunities.

Takeaway

AI is one of the most popular technologies on the planet because of its diversity and superior solutions. It has been rapidly expanding. As you can see, the scope of AI has broadened to include a wide range of industries, including healthcare, transportation, security, etc. Multiple industries require the expertise of experienced AI specialists as a result of this increase.

Check out Imarticus IT classes, targeted at working professionals, if you want to learn more about AI and machine learning algorithms.

Enrol for the best artificial intelligence and machine learning course from E&ICT Academy, IIT Guwahati

Posted on September 22, 2021March 21, 2024 by Imarticus Learning

The most important question to any student these days would be what to study that will tremendously benefit his/her career, and where to study it from. Numerous courses are offered by several institutions, and choosing the best option for yourself in such a scenario can be very confusing. This is why we are here to shed light on possibly the most relevant course right now.

That is, of course, the artificial intelligence and machine learning course. It is one of the most versatile courses out there that lets you work in almost any field you want. That is because all the major sectors now need the help of artificial intelligence and machine learning to optimize their business and keep the customer and employee-friendly. A lot of institutes in India provide AI ML courses. Imarticus Learning is one of the best in this field with its certificate course.

However, if we are to talk about the best institute to learn an artificial intelligence and machine learning course from, then it would undoubtedly be an IIT. Here, we are going to take a look at why an AI and ML course might be one of the most relevant courses out there that will benefit your career. And, why an AI and ML course from an IIT is the best.

Benefits of an AI and ML course

Data analytics basically uses numerous tools to extract and analyze data in a way that helps to detect patterns from past records. It also analyses where the company is now and predicts where it can go from here. All of it is done through analyzing market trends, the company’s financial condition as well as the customer’s online habits. The main benefits of this course are:

It is one of those jobs that is applicable in any given field, from the health sector to finance to marketing. This means that you can land your dream job from the get-go or if you feel like it, then you can even change your sector without much thought.
It is one of the highest-paying jobs in the country right now, which, of course, means a stable future.
Expert reports state that in the near future, there are going to be even more positions opening up in all corporate sectors.

Why IIT is the best choice

As we all know, IIT is an unparalleled choice when it comes to courses in any sector of business. There are few reasons for that, such as:

It teaches you deep skills that are most popularly used in AI and ML.
The opportunity to learn from actual corporate cases, that too from the top-level industry professionals of AI and ML.
Overall excellent vocational training, as students experience hands-on learning with lab-based cases related to the most high-level industry problems.
Another thing that IITs are most known for is excellent industrial exposure.
The opportunity to learn AI and ML from any IIT will immediately put you leagues beyond your peers.
An excellent package right from the beginning in your preferred sector.

Conclusion

The opportunity to learn AI ML courses from an IIT is the best thing that can happen to your career. It is an academic investment that will be paying off throughout your life.

So, prepare hard enough to give yourself that edge over others. Also, do check out Imarticus Learning’s AI and ML certificate course as we have one of the best-planned courses in this field.

India Moves to Install an Automated Face Recognition System

Posted on September 18, 2021March 22, 2024 by Imarticus Learning

What is Facial Recognition?

Facial recognition is a technique that allows the identification of an unknown person or helps determining a specific person’s identity just by using their face.

It is a part of artificial intelligence technology called computer vision. Facial recognition, however, is specialized and can come with baggage and some spoofing vulnerabilities for a few applicants.

How Does Facial Recognition Work Exactly?

Early automated face recognition systems depended on biometrics, like the distance between the person’s eyes, which would convert the two-dimensional features being measured into numbers that would help describe the face. This process of recognition involved comparing these vector values to the already known set in the database.

One complication that was faced in this initial technique was that it did not account for minor errors like head rotation and tilt as it was a more geometric approach.

Now the software that is being focused on has a more photogenic approach,

allowing a more efficient three-dimensional facial recognition.

Things will be made much clearer, in this respect, to aspirants by taking up an artificial intelligence and machine learning course and will help them succeed in an artificial intelligence career.

What Does India Have in Mind For The Use of Automated Facial Recognition Software?

India, in a recent bid to automate the Indian criminal system and improve national security, has decided to implement an automated facial recognition system. This is being done starting with the headquarters of the NCRB in Mahipalpur.

Facial recognition has been a branch of artificial intelligence that has been strongly debated for a long time with a large number of skeptics worrying about the various threats that it can pose to privacy. The initial concerns included that facial recognition software if implemented completely can track the location and movement of citizens, giving this information to the government, without consent. These concerns have been dealt with and hence the software is now being put out.

An automated facial recognition system would be available to all the branches including state police, central forces, and central agencies which all fall under the central government.

According to the NCRB, the presence of an automated facial recognition system would serve as storage for criminal photographs while also facilitating a more efficient method to source out crime patterns and would allow a better understanding of criminal motives.

Using just one click of an icon on a mobile phone, crime fighters will be able to detect all of the criminal histories associated with a person from the automated facial recognition system database. It also has the ability to source out and collect data from a wide set of sources like CCTV footage and sound an alert if a blacklisted criminal is located.

It also updates the database by adding in new information and new pictures that it can collect through various forms of media like newspaper clippings, raids, sketches, and if a picture has been taken by a citizen.

This system may also help collect proof for crimes and thus aid the police and court in indicting a criminal quickly.