How Artificial Intelligence and Machine Learning Is Altering the Marketing Landscape?

In this technological era, new technologies are being introduced in the market now and then. Businesses are no more using the traditional marketing methods to generate ROI (Return on Investment). Businesses are using new-age technologies like AI (Artificial Intelligence) and ML (Machine Learning) for better marketing and promotion.

Many young marketers are looking for a certification in AI & ML for securing better job roles in the marketing industry. The marketing landscape is continuously changing, and businesses need a sustainable solution. Read on to know how AI & ML are disrupting the traditional marketing landscape.

Use cases of AI and ML in marketing 

 One can see many real-life use cases of AI and ML in marketing around them. Some of the most popular use cases of AI & ML in marketing are listed below:

  • Businesses now use chatbots for their websites or software applications. Chatbots can interact with customers all day long and can solve basic queries. With a better user experience, businesses can retain their customers.
  • AI & ML can help provide accurate information to customers whenever needed. Inducing automation in marketing processes can reduce the manual load on an organization.
  • AI and ML tools are used by businesses to track dark social sharing up to an extent.
  • Many businesses are planning to use self-driving vehicles for marketing campaigns.

Driving factors for the use of AI & ML in marketing

 At present, businesses need to create personalized marketing content based on the preferences of the customer. Predictive analysis powers of AI/ML tools are helping businesses to create personalized marketing content. The recent COVID pandemic made it difficult for marketers to connect with their customers.

There was no physical interaction with the customers during the pandemic. AI & ML can help in collecting customer data even without stepping into physical markets. The need to decrease human labor in marketing processes has also forced businesses to go with AI and ML tools. With automated marketing processes, businesses can cut costs and boost ROI. In recent times, many businesses have focused on hiring marketers that have a certification in AI & ML for better results.

 How AI & ML are altering the marketing landscape 

Traditional marketing campaigns are launched with minimal insights. With AI & ML, you will have better insights before launching marketing campaigns. Marketing campaigns are becoming target-specific with AI & ML.

An ML/artificial intelligence course can help in learning more about disruptions caused in the marketing landscape. Businesses have to adapt according to the ever-changing marketing landscape to retain their market share. The benefits of AI & ML in marketing are listed below:

  • Marketers are getting better sales leads with AI & ML tools.
  • Marketers can understand the customer behavior and then launch marketing campaigns accordingly. It is better to understand the pain points of customers and then create personalized products/services.
  • Businesses are leveraging the power of customer data with AI/ML tools. The overall marketing cost is also decreased with the use of AI and ML.

How to learn AI & ML in 2021?

Young aspirants can go for the ML/artificial intelligence course offered by Imarticus Learning. The course name is ‘Certification in Artificial Intelligence & Machine Learning’ sponsored by E&ICT  Academy, IIT Guwahati. The certification in machine learning and AI follows an industry-approved curriculum. With numerous real-life industry projects and assignments, Imarticus offers a better learning experience.

Conclusion

Online certification in machine learning and AI can help marketers in securing better job offers. The role of AI & ML in marketing is increasing due to the recent WFH (Work from Home) culture. Start learning AI and ML for productive marketing!

Must-haves of an Average Machine Learning Certification to Become a Machine Learning Architect

ML (Machine Learning) is one of the most popular modern-day technologies. You must be aware of the applications of data science in retail, e-commerce, education, and many other industries. New-age technologies like ML and AI (Artificial Intelligence) form the base of data science operations. Many companies around the world have invested in adopting an ML strategy for their organization.

ML job roles like machine learning architect are widely popular among young enthusiasts. Young enthusiasts look for artificial intelligence and machine learning courses that can help them in launching a successful career. Read on to know about the must-haves of an ML certification course.

Importance of learning machine learning

The importance of learning machine learning in 2021 are as follows:

  • More and more businesses are inducing automation in their daily operations. Manual labor is being replaced by automated machines in the industry. However, for designing intelligent machines and algorithms, ML skills are required. The demand for skilled ML engineers is expected to increase exponentially in the coming years.
  • ML is a versatile modern-day technology used by many public sectors and industries. Smart ML algorithms are used in the regulation of public services like transportation, legal, healthcare, and education.
  • Since ML is a modern-day technology, there is a shortage of skilled ML architects/engineers in the industry. ML job roles in the industry offer lucrative salaries to ML professionals because of the expertise they bring to the table.
  • Machine learning is usually not used alone for industrial processes. Machine learning is coupled with other technologies like AI and deep learning to enhance productivity. You can also learn other new-age technologies by choosing a machine learning certification course.

Where to look for a machine learning certification course?

Colleges in India don’t provide a machine learning certification course. Generally, machine learning is a subject in any particular semester of a traditional degree program. Students cannot go through the entire college degree program if they just want to learn ML.

artificial intelligence and machine learning coursesOnline training is the best means of learning machine learning and AI. Also, online training is more accessible considering the scenario of the COVID pandemic.

Must-haves of an ML certification course

Want to become an ML architect? Choose an ML course that offers the following:

  • Machine learning is implemented for industry processes with the aid of several tools and technologies. Choose a machine learning/artificial intelligence course that covers tools/technologies like Pandas, Spyder, Colab, TensorFlow, NumPy, OpenCV, Python, and Jupyterhub.
  • The machine learning/artificial intelligence course should be endorsed by a reputed institution or EdTech platform. There is no point in wasting your money on an ML certification that is not recognized globally.
  • Besides covering the basics of machine learning and artificial intelligence, the online course should also cover other technologies that are used together. For example, technologies like deep learning and NLP are used with AI/ML.
  • Besides offering theoretical classes, a machine learning course should also provide an opportunity to work on real-life projects. Artificial intelligence and machine learning courses should also offer practical learning to enthusiasts.

 Which is the perfect course for ML enthusiasts?

 The Certification in Artificial Intelligence and Machine Learning by Imarticus Learning is the perfect ML course in 2021. This course is endorsed by IIT Guwahati, one of the top institutes in the country. This course will follow an industry-oriented syllabus that will help in knowing about the common industry practices. You can also opt for a demo class before choosing the ML certification course.

best artificial intelligence and machine learning courses from E&ICT Academy, IIT GuwahatiIn a nutshell

Getting an ML certification can boost your chances of getting placed in some of the top companies. You will also be in demand for the coming years by gaining an ML certification. Start your ML/AI certification program now!

What are the Job Roles of an AI and ML Specialist?

In today’s data-driven world, the highest demanding and relevant jobs have got to be that of an AI and ML specialist. Most major industries now rely heavily on artificial intelligence and machine learning to optimize their business better.

It helps them to detect the clients’ needs and cater to them accordingly. It even helps them to look after their employees’ well-being, which in turn makes them more productive and loyal to the company. This is possibly the best time to do an AI and machine learning course if you are worried about your future.

artificial intelligence and machine learning coursesThis is one job that will never go out of positions as most sectors these days need an AI and ML unit in their teams. If you are confused about which institute would be better for your career, then you do not need to look very far. Like always, Imarticus Learning has come through with one of the best AI and ML certificate courses that will immediately give you that extra edge over others.

However, the question remains about what having these jobs entails? Here, we have tried to give accurate job descriptions for artificial intelligence and machine learning specialists in detail. Please, read through it to learn more about it.

Artificial Intelligence Specialist

There are a variety of aspects to an AI specialist’s job. However, all of these meet at a certain point. That is, they develop computer software to comprehend different situations through hypotheses. They test these hypotheses by comparing them to the workings of the human mind. All of these are done through cognitive stimulation.

They also use this to enhance the opportunities and suggestions provided by and inside of a variety of different industries. This is versatile enough to be applicable in any major industry that deals with clients. The job roles of an AI specialist can be any, but not limited to, the ones following:

  • Software analyst: Using AI to debug or check the performance of software
  • Data security engineer: Safeguarding a company’s intra network and internetwork as well as data governance and data integrity
  • Research scientist: Extracting, designing, analyzing, and comprehensively preparing data using AI predictive analysis and another forecasting
  • AI developer: Develops AI systems and integrates existing software with AI systems
  • IoT engineer: Developing IoT-based devices and integrating AI software and processes in them
  • Cloud specialist: Empowering data with cloud systems

 Machine Learning Specialist

This is a profession dedicated to developing algorithms that can adapt to or learn from the available data to make helpful suggestions and predictions. Some of the job roles are:

  • Machine learning engineer: Involved in sourcing data, creating the machine learning model, and implementing it
  • Machine learning architect: Setting up, integrating, and maintaining machine learning components according to the requirement
  • Data engineer (data modeling specialist): Involved in data modeling and ensuring data can be used for machine learning
  • Machine learning developer: Involved in programming and setting up machine learning systems like forecasting and predictive modeling
  • Automation engineer: Automating processes using ML
  • Deep learning engineers: They work with complex datasets to power up neural networks using deep learning and ML
  • Artificial neural network specialist: Creating neural networks and ensuring that the system has the ability to make decisions mimicking human beings.AI and ML courses

There are many benefits to an AI and machine learning specialist’s job. The major ones being, you will never go out of a job. This is also a high-paying job, so you will never have to think about the salary input being less than your performance output. So, do check out Imarticus Learning’s AI and ML certificate course to give your career the necessary boost.

AI and ML courses

Which Is the Best Artificial Intelligence Course of 2021?

In today’s technological era, machines are everyday partners of humans. Artificial Intelligence (AI) has a crucial role in determining the intelligence of machines.

In 2021, many businesses and public services rely on AI for day-to-day operations. College graduates and young enthusiasts are learning AI to build a successful career. There are many AI courses in the market and, it can get difficult to choose one. Read on to know the best AI course of 2021 and why one should learn AI.

Why learn artificial intelligence?

 The reasons one should look for an artificial intelligence course are as follows:

  • Many organizations and businesses are adopting an AI strategy. The rise of automation in the industry processes has fuelled the demand for AI experts. By opting for an artificial intelligence course, you can future-proof your career.
  • Since AI is a new-age technology, there is a shortage of expert individuals in the industry. An AI professional earns a handsome salary and will always be in demand.
  • Gone are the days when AI was only used by robotics and the space industry. Nowadays, AI has become a versatile technology that is used by numerous industries. Some popular sectors that use AI are healthcare, logistics, finance, banking, and legal sectors. You will open multiple future career prospects for yourself by learning AI.

Why go for online training?

Educational institutions usually do not provide certification courses to students. They offer a complete degree program in which AI is just one of many subjects. If you are willing to only study AI, you would have to go through the whole degree program. It is where online training is a boom for AI enthusiasts.

Also, the recent pandemic (COVID-19) led to the suspension of classroom lectures. Online training has helped AI students during the pandemic period. Working professionals can also commit to an online program easily while continuing their job. However, you need to choose industry-oriented AI ML courses that make you job-ready. Imarticus Learning is a reputed EdTech platform that offers AI ML courses with an industry-oriented curriculum.

 Why choose the AI/ML course of Imarticus Learning?

Imarticus provides a Certification in Artificial Intelligence & Machine Learning that is 9-month long. In association with IIT Guwahati, this AI/ML course is a blessing for AI enthusiasts amidst the pandemic. Besides this certification program, Imarticus offers many other artificial intelligence and machine learning courses like PG Program in Data Analytics & ML. The reasons one should choose the certification program in AI/ML from Imarticus are as follows:
artificial intelligence and machine learning courses

  • This course is offered in association with one of the most premier institutes in India i.e., IIT Guwahati. You will get to learn from academic professors and industry experts.
  • Imarticus strictly follows an industry-oriented curriculum that makes you learn job-relevant skills for the AI/ML industry. During the certification course, you will work on 25 real-life industry projects that will make you job-ready.
  • Some of the top languages and tools covered in this certification course are NumPy, TensorFlow, OpenCV, Spyder, Pandas, and Jupyterhub.
  • Imarticus also offers career services at the end of the certification course. Professionals trained by Imarticus in the past work in some of the top organizations of the globe like Accenture, Standard Chartered, Oracle, Deloitte, KPMG, Infosys, and Tata.
  • This course will also offer a 3-day campus immersion program where you can interact with the peers and faculty members of IIT Guwahati.

In a nutshell

Imarticus provides some of the best artificial intelligence and machine learning courses in India at affordable rates. You can also get a scholarship of up to 40% for the certification course in AI/ML offered by Imarticus. Start your online artificial intelligence course now!

How Is a Machine Learning Course Helping Secure Bright Careers?

Machine Learning (ML) is an emerging technology that has taken businesses by storm. Currently, more than 30% of businesses in India have already adopted machine learning technology or are planning to adopt it. Besides being termed as the ‘hottest job of the century’, ML job roles also offer lucrative salaries.

ML along with AI (Artificial Intelligence), plays a crucial role in data science operations. Young enthusiasts are looking for ML/AI courses that offer them industry-oriented learning. Read on to know how an ML course can aid in building a successful career.

Reasons to learn ML & AI

 The reasons one should look for an industry-oriented ML course are as follows:

  • The compound annual growth rate of the global ML market is more than 40%. Businesses are adopting ML/AI technologies on a large scale. There will be no shortage of ML job roles in the industry for the coming years. Also, the salaries of ML job roles in the industry are expected to increase in the coming years.
  • ML and AI are versatile technologies that are used by different sectors of the industry. ML/AI algorithms are also used for day-to-day operations in many public sectors. Sectors like healthcare, logistics, e-commerce, education, and retail use ML for their day-to-day operations.
  • Machine learning helps in building smart data analysis algorithms. You can gain meaningful insights from data analysis and understand your customers/clients better. Data analysis skills will also come in handy for making several real-life decisions.

Why go for online ML training?

Colleges in India usually do not provide a certification course in AI or ML. AI/ML is usually included in the traditional degree programs as a subject. You will have to go through the entire degree program to learn machine learning at a college. It is where online training allows you to learn machine learning without enrolling in a degree program. Also, the recent COVID pandemic made it difficult for young enthusiasts to attend classroom lectures.

artificial intelligence and machine learning coursesWorking professionals can commit to an online machine learning course depending upon their free hours. However, you will have to choose an effective machine learning course that makes you job-ready. Imarticus Learning is a reliable EdTech firm that offers industry-oriented machine learning and artificial intelligence course.

Why choose the ML course offered by Imarticus?

Imarticus Learning is a reputed EdTech platform that offers a Certification in Artificial Intelligence and Machine Learning in partnership with IIT Guwahati. This 9-months long certification program can help in preparing for numerous jobs like ML/AI engineer, data analyst, and data scientist. The reasons one should choose the AI/ML certification course are as follows:

  • ai and ml courses
    At the end of the course, you will receive a certificate endorsed by ITT Guwahati, one of the top educational institutions in India. The AI/ML certificate endorsed by IIT Guwahati will be globally recognizable. Also, you will get a 3-day campus immersion program with this course that allows you to interact with faculty members and peers of IIT Guwahati.
  • You will work on more than 100 assignments and 25 projects during the course. Real-life projects will aid in learning the ML industry practices.
  • Numerous AI/ML topics will be covered in this certification course. Some popular topics covered in this course are dimensionality reduction, unsupervised learning, deep learning, NLP, etc.
  • Towards the end of the machine learning and artificial intelligence course, you will compete in a hackathon to judge your AI/ML skills. You will also receive career support towards the end of the course from Imarticus.

In a nutshell

Imarticus has already placed many data scientists in some of the top organizations of the world. With their industry-oriented course curriculum, they will make you job-ready. Start your ML certification course now!

What’s The Quickest Way To Learn Math For Machine Learning And Deep Learning?

In modern times we have everything from developments like smartphones, robots, driver-less cars, medical instruments like CAT scans and MRI machines, smart traffic lights, and a host of animated games. Even payments have gone digital and cashless! And all this has emerged over the last decade due to AI, ML, and data analytics.

The future holds great promise for development in these fields and to make a high-paid scope-filled career in any of these fields, mathematics is the key ingredient that you must learn if you want to learn machine learning. ML runs on algorithms and the algorithm is dependent on knowledge of mathematics and coding.

Why mathematics is so important in ML:

Some of the many reasons are :

  1. Selecting the apt algorithm with a mix of parameters including accuracy, model complexity, training time, number of features, number of parameters, and such.
  2. Selecting the validation of strategies and parameter-settings.
  3. Using the tradeoff of Bias-Variance in identifying under or overfitting.
  4. Estimating uncertainty and confidence intervals.

The math components required for ML:

ML algorithms require proficiency in the three topics of Linear Algebra, Probability Theory, and Multivariate Calculus.

Let us discuss the topics you need to learn machine learning under each of these heads.

A. Linear Algebra:

The use of Linear algebra notation in ML helps describe the structure of the ML algorithm and the parameters it depends on. Thus linear algebra is important in the interconnection of neural networks and their operations.

The topics that are important are : 

  • Vectors, Tensors, Scalars, Matrices,
  • Special Vectors and Matrices
  • Norms of Matrices
  • Eigenvalues and vectors

B. Multivariate Calculus:

ML learns from its experience with the data set and to supplement this we need calculus to power learning from examples, improving performance, and updating parameters of the different models.

The important topics here are : 

  • Integrals
  • Derivatives
  • Differential Operators
  • Gradients
  • Convex-Optimization

Probability Theory:

The assumptions about data use this theory to design the AI and its deep learning capabilities. The key probability distributions are crucial to algorithms.

Study these topics well.

  • Random Variables
  • Elements of Probability
  • Distributions
  • Special Random Variables
  • Variance and Expectation

Can you learn Math for ML quickly?

To learn machine learning it is not required to be an expert. Rather understand the concepts and applications of the math to ML. Doing things like math is time-consuming and laborious.

While there may be any number of resources online, Mathematics is best learned by solving problems and doing! You must undertake homework, assignments, and regular tests of your knowledge. One way of getting there quickly and easily is to do a learn machine learning course with a bootcamp for mathematics at Imarticus Learning

This will ensure the smooth transition of math and ML applications in a reputed institute for ML where they do conduct bootcamps. At the end of this course, you can build your algorithms and experiment with them in your projects. But, the main question that remains is why do a learn Machine Learning Course at Imarticus in the first place?

The Imarticus Learning course scores because: 

  • They have sufficient assignments, tests, hands-on practice, and bootcamps to help you revise and learn machine learning.
  • They use certified instructors and mentors drawn from the industry.
  • They integrate resume writing, personality development, mock interviews, and soft-skill development modules in the course.
  • They have convenient modes and timings to learn at your own pace for professionals and classroom mode for freshers and career aspirants.

Conclusion:

Mathematics is all about practice and more practice. However, it is crucial in today’s modern world where AI, ML, VR, AR, and CS rule. These sectors are where most career aspirants are seeking to make their careers, because of the ever-increasing demand for professionals and the fact that with an increase in data and the development of these core sectors, there are plentiful opportunities to land the well-paid jobs.

At the Imarticus, you can consider the Machine Learning course, you will find a variety of courses on offer for both the newbie and tech-geek wanting to go ahead in his/her career. Start today if you want to do a course in AI, ML, or Data Analytics. For more details in brief and further career counseling, you can also contact us through the Live Chat Support system or can even visit one of our training centers based in – Mumbai, Thane, Pune, Chennai, Hyderabad, Delhi, and Gurgaon.

TOP 10 APPLICATIONS OF DEEP LEARNING ARTIFICIAL INTELLIGENCE IN DIVERSE INDUSTRIES

Artificial Intelligence is the indispensable future. It is already in power and used by diverse industries like healthcare, education, and finance.

And now, deep learning has come as an addition to the next level of technological advancement. This blog post explores ten applications of artificial intelligence across different industries.

 TOP 10 BEST APPLICATIONS OF DEEP LEARNING

Virtual Assistants

AI Deep Learning has led to virtual assistants that understand natural languages; the best examples to quote being Siri, Alexa, and Google Assistant. The technology allows them to comprehend human speech more than before, turning everyday words into actionable data.

A virtual assistant is an application that handles day-to-day tasks and answers questions using artificial intelligence, natural language processing (NLP), and machine learning algorithms. Today, there are many popular virtual assistants: Amazon’s Alexa, Apple’s Siri; Microsoft Cortana; Google Now.

Chatbots

The chatbot has rules that use natural language processing to communicate with users. Chatbots can engage in one-on-one conversations and group chats on Facebook, Slack, or Telegram platforms.

Healthcare

Deep Learning & Artificial intelligence has found their application in diagnostics and healthcare. It combines the input of a large set of variables with historical patterns from similar cases to make accurate predictions on patient outcomes. It enables doctors to provide better diagnoses and personalized treatments.

Entertainment

Creators are using it to engage their audiences and create new experiences. For example, many music companies are using it for music composition. In contrast, other multimedia giants like Disney explore storytelling possibilities such as virtual reality movies or interactive games.

News Aggregation

A news aggregator is an application that collects articles, videos, and other content from different sources to organize it into categories.

Composing Music

Computer-generated music is possible because of AI methods. Such as generative adversarial networks (GAN). Computers can create new musical compositions inspired by those composed by humans.

Image Coloring

This technology is being used for image coloring as well. It is a visualization of an uncolored photo or artwork. It helps artists and designers understand how their work will look when it gets printed on paper.

Robotic

AI/ML and Deep Learning allow robots to learn from their own experiences by performing a task. For example, they can become more efficient at drilling holes in walls. Thus they perform the same action many times across different surfaces through deep reinforcement learning.

Automobiles

Automobile companies are also exploring the benefits of applying this technology to their cars. They have begun using computer vision and image processing techniques, which allow vehicles to learn how to drive over time by detecting any obstacles on the road. This technology helps prevent accidents as well as reduces traffic congestion through self-driving cars.

E-commerce

E-commerce uses it for product recommendations and helps consumers make better buying decisions. Thus providing them with a shopping experience based on their preferences and behavior patterns.

Why Enroll In AI Progam At Imarticus Learning

artificial intelligence courses in IndiaImarticus Learning offers Artificial Intelligence and machine learning courses that improve students’ foundational abilities.

Take advantage of the Expert Mentorship programs from Imarticus Learning to learn about Artificial Intelligence and Machine Learning in a real scenario.

This program enables you to gain access to attractive professional prospects in the disciplines of Artificial Intelligence and Machine Learning. This intensive 9-month curriculum prepares students for roles like data scientist, Data Analyst, Machine Learning Engineer, and AI Engineer.

Some course USPs:

  • The course lets the students learn job-relevant skills that prepare them for an exciting Data Science career.
  • Impress employers & showcase AI skills with a certification endorsed by the most prestigious academic collaborations of India – E&ICT Academy, IIT Guwahati, and Imarticus Learning.
  • World-Class Academic Professors to learn from through live online sessions and discussions. This will help students learn the practical implementation of AI/ML & Deep Learning techniques through real-world projects.
  • Flexible Learning Journey that gives you the flexibility to transfer program credits for a period of 1 year.

For further details, contact us through the Live chat support system or schedule a visit to training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, and Gurgaon.

AI Deep Learning: What’s in it, and how is it an Asset for AI specialists!

Artificial Intelligence has seen exponential growth in recent years. AI is turning the way we live and work. But it cannot be easy to understand what exactly AI is. This blog post will tell you why to learn AI and why it matters for everyone!

What is AI deep learning?

Deep learning is a part of artificial intelligence and machine learning (ML) that imitates the way humans gain certain kinds of knowledge. This method has been around for several decades.

For AI, deep learning is a technique that allows artificial intelligence to learn and understand data. It works by showing an algorithm with lots of examples rather than programming it with inflexible rules, as many artificial intelligence programs have done in the past. Thus Artificial Intelligence and Machine Learning course helps to learn AI.

Why Is AI Deep Learning So Necessary?

While traditional artificial intelligence algorithms are linear, deep learning algorithms are stack in a hierarchy of increasing complexity and abstraction. Deep learning allows computers to connect concepts that they wouldn’t otherwise be able to do independently.

Artificial neural networks, algorithms get inspired by the human brain. They get trained from enormous volumes of data. The deep learning model would execute a task, modifying it each session to enhance the result, like how humans learn from experience. So, there is a need to understand AI.

How Is It Helpful For AI Specialists?

Deep learning allows artificial intelligence to identify patterns in data without human supervision. This artificial intelligence uses image recognition, which requires computers to understand concepts like color or objects and how they relate. Artificial Intelligence Course can be used to power self-driving cars and even recognize faces.

Artificial Intelligence (AI) is machine intelligence. Artificial Neural Network (ANN), Deep Learning, and Machine Learning are the most popular type of artificial intelligence at present. The ANNs algorithm creates a deep understanding of how to solve complex problems with computer data. Deep learning is a part of the artificial intelligence course. The IIT artificial intelligence Course helps to solve complex problems with data using neural networks.

Deep Learning is helpful for AI specialists working in different industries like Banking, finance, insurance, etc. It often gets used by all types of businesses and government sectors to solve problems.

Why Enroll In AI Progam At Imarticus Learning

artificial intelligence and machine learning courses in IndiaImarticus learning offers the best machine learning and AI course for your data science career. They provide certification in AI and Machine Learning. This 9-month Artificial Intelligence and Machine Learning program are in collaboration with AI/ML industry experts.

The program helps students to grasp precisely what Machine Learning and Artificial Intelligence market demands in professionals. Through 25 in-class real-world AI & ML projects, industry experts teach you crucial job-relevant skills.

Through several AI Deep Learning corporate strategies, students attain real-world Machine Learning and Deep Learning skills. The program is capable of converting a fresher into a highly prized New Age AI and ML Specialist. For further details on the course, contact us through the Live chat support system. You can visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi Gurgaon, and Ahmedabad.

How Can Computer Vision Protect Millions of Homes From Intrusion?

Introduction

We need to embrace the concept of computer vision in homes rather than shy away from the idea of exchanging personal data to achieve new levels of protection, safety, comfort, and entertainment. Computer vision combined with NLP and ML enables computers/systems via digital images or video to understand what they see.

When systems can detect and recognize objects, according to what they are scheduled to do, they can deliver intelligent behavior. Automotive space is one area that has successfully demonstrated how computer vision can change our lives. Car systems that use computer vision can recognize the driver behind the wheel and can warn the driver when he starts to swerve out of his lane to see the surrounding area.

Many customers on their smartphones are already using computer vision and don’t even know it. To recognize facial features and position overlays (philters) in the right positions, both Snapchat and Instagram use computer vision tracking.

How does Computer Vision help us in making things secure?

Accepting computer vision into your house and connecting it to your connected devices helps your daily routine to have a new level of convenience. When you arrive and open the door for someone, the front door will be able to see or stay locked when an unknown person (face) approaches. Alarm systems are smarter, able to distinguish who are family members (including age and gender) and who are not.

If an elderly family member or visitor trips, or if a child is climbing up the stairs, on the countertop, or anywhere that puts the child in danger, indoor surveillance cameras will send a warning to your mobile, taking it a step further. Nest, Logitech, and other smart home manufacturers have either begun offering customers these smart security features as a premium subscription service or have already incorporated them into their newest devices.

Computer Vision in Intrusion Detection

Abbreviated as IDS, an Intrusion Detection system plays an important role in providing the required security assurances for all networks and information systems in the world. One of the solutions used to decrease malicious attacks is IDS. As attackers often change their attack tactics and find new methods of attack, IDS must also develop by implementing more sophisticated detection methods in response.

The enormous data growth and substantial developments in computer hardware technology have led to the existence of new studies in the field of deep learning, including intrusion detection.

To provide a high degree of security and security staff monitoring effectiveness, high-performance AI systems can make the task monitoring process automatic for high-risk sites. Also, these intrusion systems can identify objects based on size and location. However, they fail to recognize the type or form of the detected object.

Perimeter Defense (Intrusion Detection) systems with high-end artificial AI algorithms to identify a multitude of different types of objects can now discern objects of interest, thus dramatically reducing the rate of such intrusions that might indicate a false alarm. The more sophisticated systems, such as those provided at IronYun, allow its customers to design ROIs based on intrusion detected points, high-value areas, and or any other region that may be beneficial for alerts.

Similarly, the applications designed for face and license plate recognition have the ability to detect people or cars(the license plate) in addition to solutions for motion detection and use pre-designed data to identify distinct faces or plates that should be watched regularly, similar to the pre-designed lists.

Needless to say that these systems will also allow its customers to search for faces that are not provided already on the camera. For example, if a person is identified hanging outside a house many times, one can store their pictures in the designed watchlist and fix an alarm when the face is identified again around the house or in your surroundings.

The main advantage of the system is that before the troublemaker completes the act, the warnings will assist in discouraging and avoiding vandalism or robbery and inform the authorities of the scene.

Conclusion

AI-based security measures combined with computer vision, deep learning, ML, and NLP training can do all the boring work for you to help deter fraud and vandalism. They are also the most accessible security solutions available with a strong return on investment due to their low cost and outstanding reliability.

computer vision coursesStopping crime is a challenging, ongoing challenge, but enterprise vendors and law enforcement can do it more easily with the right AI apps. This is also one of the reasons why people are excited about an acceptable career in the AI sector.

How Artificial Intelligence Training Can Be Helpful For Any Voice Content Purpose?

Introduction

The technological change and digitization that is taking place across the globe are being accelerated by the day. Growth in Innovations and Inventions in all the major domains is Multi-fold. This major chunk of this growth can be attributed to the advances that are being taken in Artificial Intelligence. Artificial Intelligence had contributed to almost all the major domains in some or another way.

Artificial Intelligence as a domain is very comprehensive in both depth and breadth. Some of the major domains that comprise artificial intelligence are Neural Networks, Fuzzy Logic, Expert Systems, Natural Language Processing, Robotics, etc., In these domains, one of the fastest-growing domains is Natural Language Processing.

Natural Language Processing

The ability to understand and read human language through artificial intelligence is Natural language processing (NLP). NLP can be classified in terms of Text, Voice, and Audio. In all three, voice recognition is the fastest growing and widely known through various voice assistants in our smartphones.

Not only on the consumer side but also there are many applications on the enterprise and industry domains. Voice recognition/speech recognition is used for many purposes such as customer insights, in meetings, Security features, etc.,

Speech Recognition and its multiple applications:

Speech recognition is the Comprehension of the voice by the Computer to perform a task. It involves various modules such as speech to text, text to speech, Speech processing, and many more. Speech recognition can be found in many applications such as

  • Car Navigation
  • Navigation and Control such as GPS
  • Voice Assistants

Considering the advantages let’s consider how Artificial Intelligence Training in Speech Recognition/Voice recognition will help us to pursue a career in Artificial Intelligence.

 Artificial Intelligence Training

To Pursue natural language processing, there must be a holistic knowledge of Artificial Intelligence. Artificial Intelligence is one of the most important skills for any high-paying job. To have a holistic knowledge of artificial intelligence some key topics are to be concentrated upon such as

  • Python and Statistics
  • Data Analysis and Python
  • Machine Learning
  • Deep learning
  • Natural Language Processing
  • Computer Vision

To have a successful career in Artificial Intelligence there should be a basic understanding of python, TensorFlow, and other similar technologies. Though not all the domains are equally important, if an individual prefers to have a career in natural language processing then knowing other domains listed above will complement.

Skills Required to become an NLP Expert

Skills like Fundamentals in Machine Learning such as regression, probability estimation, data integration can be learned through training in Artificial Intelligence. In addition to this, there are additional skills that help an individual to become an NLP Expert. Skills such as parts of speech, Sentence Fragmentation, Information Extraction are needed from the linguistics point of view.

When seen from the programming side, NLP research scientists should be well equipped with at least one of python, java, ruby as a known language. Also, knowledge of probability & statistics and Recursive Neural Networking are essential for NLP. Artificial Intelligence Training will develop all these necessary skills

Prospects of Artificial Intelligence and Natural language processing

Rapid Growth in the technology space had made way for many new opportunities. Artificial Intelligence is one such field where there are umpteen opportunities in multiple domains. There are many High paying, exciting jobs that are available when Artificial Intelligence skills are possessed. Especially in Natural Language processing, the job prospects are surging. The job profiles that are offered for a career in Artificial Intelligence and Natural Language Processing are

  • Machine Learning Engineer
  • Natural Language Processing- machine learning Developer
  • Data Scientist
  • Software Engineer
  • Research Scientist
  • ML Specialist

Conclusion

Artificial Intelligence is a growing field and the opportunities that it offers are ever-increasing. In artificial intelligence, Natural Language Processing (NLP) is an essential part of high job prospects. A wholistic Artificial Intelligence Training and NLP will help an individual in pursuing a great career in Artificial Intelligence.