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Day: September 8, 2021

Why Is It So Easy To Get an Analytics & AI Certification, But a Struggle To Get The Right Job Interview Opportunities ? Imarticus Has an Answer

Posted on by Imarticus Learning

The data science domain is expanding. With it, the demand for AI, ML, NLP, and other data science careers is also rising. Reports suggest that there were 2.9 million data science job openings in 2019 alone and by 2026, this number is going to go up to 11.5 million.

Despite this huge demand, getting a good job in the AI and Analytics field is a real struggle. Many aspiring people do many courses in different branches, be it computer visions or deep learning. But when it comes to securing a job, a lot of them find it extremely difficult.

Key Reason for Difficulty in Job Seeking

While most of the people blame it on the companies that they don’t understand what they want, the harsh reality is that most of the aspirants in this sector lack the important skills required to get a good job interview opportunities. Many candidates are not competent enough to grab a job role in data analytics or the AI field. Data science is a complex field that requires an extensive amount of knowledge and a high-level skill-set.

Though many students do certificate courses from various institutions online, most of the time they do not get taught and trained the right way. It results in students missing out on important concepts, analytics, and numerical aptitude. When these students go out in the real world, they end up facing rejection on their job applications.

The thing is if students want to build careers in the data science field, they need to be exceptionally well at it. For this, they need to pursue a course that builds their foundational and advanced knowledge in-depth and provides them with the crucial practical skills required in the real world.

Imarticus Learning PGA – The right way

Imarticus Learning offers a Post Graduate Program in Analytics & Artificial Intelligence that teaches the in-demand tech skills in the job market at present. The teaching method involves engaging videos, live sessions, and exercises.

data analytics courses in IndiaIndustry professionals having years of experience in this field deliver ML, computer visions, and deep learning training projects.

Upon completion of the post-graduate program in data analytics course, Not only but students also get guaranteed job interview opportunities and placements in leading companies.

The PGA course covers theory and practical learning on the following subjects:

  • Data Science Fundamentals
  • Deep Learning
  • Machine Learning
  • Computer Visions
  • Natural Language Processing
  • Placement Preparation

During the entire duration of the course, students are provided with a mentor who supports them in their academic journey and guides them in their career path. The mentor performs the following roles:

  • Motivate and Inspire to engage in projects and their completion.
  • Monitor your grades and potential.
  • Build meaningful connections that will help you beyond the course.

By studying the PGA course with Imarticus Learning, students get complete support and guidance throughout their learning process. The career services provided with this course include:

  • Guaranteed Jobs
  • Resume Building
  • Interview Preparation
  • Profile Enhancement

Job Roles after PGA Course

Upon successful completion of the Imarticus Learning PGA course, you can find suitable careers in:

  • Business Analyst
  • Artificial Intelligence Engineer
  • Data Analyst
  • Machine Learning Engineer
  • Data Science/Machine Learning Consultant
  • Web & Social Media Analyst
  • Machine Learning Architect
  • Data Scientist

The salary packages in these job roles are quite lucrative. The average pay scale in Analytics & AI roles is around INR 5 LPA to 25 LPA.

Joining Procedure of PGA Course

Candidates interested in Analytics & Artificial Intelligence can join this program for building a successful career in this field. The joining procedure is simple and includes three steps:

  • Detailed Profile Check
  • Online Tests
  • Enroll

The prerequisites for the course include a graduation degree with a minimum of 60% and a basic understanding of mathematics and programming. With data analytics course, students can get the best education and make their dream of becoming a professional in this field come true.

How Can Computer Vision Protect Millions of Homes From Intrusion?

Posted on by Imarticus Learning

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.

AI and ML are Enhancing Marketing and Sales Strategies across Industries

Posted on by Imarticus Learning

Understanding the AI & ML Technology

Artificial Intelligence (AI) technology has revolutionized the way businesses function and operate. It has given a massive push to businesses by leveraging big data and smart analytics. Artificial intelligence technology is a broad discipline related to computer science that helps to develop smart machines/systems that are capable of performing complex tasks that earlier needed human intervention. Simply put, artificial intelligence technology helps to simulate human intelligence into machines that can learn to perform tasks using their intellect.

Machine Learning (ML) is a branch of artificial intelligence technology that deals with the process of training machines through using complex data sets. It helps machines to acquire the knowledge needed to perform a certain task using tons of data for every particular scenario.

big data analytics courses in IndiaIt can be understood as an application of artificial intelligence technology that imparts machines with the ability to learn from their past data processing experience. Machines use their learning to process data based on real-time inputs.

Artificial intelligence and Machine Learning career is considered as one of the most sought after ones in the contemporary given its demand in the industry.

AI & ML Alleviating the Marketing & Sales Experience

In the contemporary digital era, people are more accustomed to buying things online. This has created new opportunities for organizations to leverage technology into their sales and marketing endeavors. Digital marketing has helped companies to reach their targeted customers easily and it has also boosted the conversion rates.

Today, marketing is all about understanding your customers and offering them what they really want instead of just blindly pushing products. It requires understanding consumer behaviour, interest, purchase patterns, etc.

Brands deploy AI & ML algorithms to personalize the shopping experience for the customers by leveraging big data that provides them with actionable insights. AI-powered tools have drastically enhanced the marketing game and help to maximize returns on the marketing expenditure. Better consumer targeting also helps to increase the conversion rates and a personalized shopping experience helps to boost customer satisfaction. This aids to increases the top line of the companies easily.

Artificial intelligence technology along with advanced analytics tools have proved to be a boon for businesses when it comes to complementing marketing and sales efforts. It helps to provide useful actionable insights by assessing tons of user data and providing better information that allows effective targeting.

It is almost impossible to flawlessly analyze such high volumes of data on a daily basis using human labor. This is where artificial intelligence and machine learning technologies come as a helping hand. AI tools help to process large volumes of data in a fraction of seconds and also predict the future trends that might be helpful for the business.

 Conclusion  

AI & ML technology along with advanced analytics has revamped the marketing and sales landscape by providing valuable insights into useful data and fast data processing experience. Artificial intelligence career is also growing popular and one can learn more about this discipline by opting for an artificial intelligence and machine learning course by reputed institutions like Imarticus Learning that provides you with a comprehensive understanding and placement assistance with the most reputed firms in the industry.

How To Create An Image Dataset and Labelling By Web Scraping?

Posted on by Imarticus Learning

Every data science project starts with data. We need to acquire a huge amount of data to train our machine learning models. There are various ways to collect data. Surfing websites and downloading the structured datasets present on them is one of the most common methods for data collection. But there are times when this data is not enough. Certain problem statement datasets are not easily available on the web. And to deal with this situation, we need to create our own datasets.

In this article, we will discuss the method of creating a custom image dataset and labeling it using Python. First, let us talk about acquiring images through web scraping.

Web Scrapping

Web Scraping refers to the process of data scraping from websites. It surfs the world wide web and stores the extracted data in the system. Beautifulsoup is one of the most popular Python libraries for image scraping. The requests library requests the essential webpage.

How To:

When we go to the developer tool by clicking on a picture on the webpage, there displays a format starting with images.pexel.com/photos after which a number is listed, which is unique for every photo. One can get a similar image using the regex (regular expression).

Using this method, our images get scrapped. We can also print the links if we want to see those links and make a directory of them. After this, we will download the images. Once the process is complete, you can see the scrapped images through the specified path where images are stored.

Labeling

After scrapping and storing the images, we need to classify them through labeling. Labeling software is used for this purpose. It is a pip installable annotation tool. It provides two annotations YOLO and PASCAL VOC.

How To:

You can open the labeling software using the command: (base) C:\Users\Jayita\labeling

There will be specified options on the left-hand side of the screen. On the right-hand side, you will see the image file information. Select ‘Open dir’ to see all images. Press ‘a’ to view the previous image and ‘d’ to view the next image.

To get the annotations, draw a rectangular box and press ‘w’. A window will pop up to store the image’s class name. Once you are done with drawing the box and labeling the image, it’s time to save it. To generate the annotations, you need to store the image in PASCAL VOC or YOLO format.

One can learn about this in detail in a data science course. Web scrapping and labeling is not a hard process once you understand the basics of it. You need to be careful while scrapping a website and obey the rules so that you do not harm the website you are scrapping. Take time to consider your requirements and research accordingly to find a suitable website for this process. For example, if you plan to develop a model for fashion, then online shopping websites should be on your scrapping list.

Learning web scraping and labeling is important if you want to build a data science career in the future. It will provide you with a deep understanding of image datasets. You can use these techniques to increase the data in situations where available data for a project is less. You can apply this process to multiple classes if they share the same folder and get the desired results.

What are the Big Data Use Cases That Explains Digital Transformation?

Posted on by Imarticus Learning

The business world is transforming. Big data is influencing business decisions, marketing optimizations, business predictions, and day-to-day operations. Big data is expected to reach $300 billion by 2023. Though the term ‘Digital Transformation’ is loosely used as a euphemism for the modernization of data infrastructure, the true meaning of the word is becoming vital for the business world.

big data analytics courses in IndiaIt is true that the organizations are increasingly becoming data-centric, that they allot nearly 40 percent of their technology budget for digital transformation.

Data analysis courses facilitate faster, better, and smarter business decisions helping to achieve better operational efficiency, building a loyal client base, and leading to higher profit. Let us have a look at some use cases that explain this transformation.

Banking

Banks need to deal with a massive amount of financial information. Big data is used in banking to structure the collected data, organize them based on the business needs and analyze the data to derive insights on spending patterns, storing historical data like the transactions, payment records, etc. It also helps in identifying fraudulent actions and ensuring preventive measures are in place to block such frauds.

Another area of big data application is to prevent identity thefts. The banks use big data to keep a tab on customer actions. For example, if a customer follows regular spending patterns using the credit card such as groceries and general shopping, and all of a sudden there is a change in the behavior, such as spending money in gas stations and convenience stores from multiple locations across the city, the bank suspects something unusual. In this case, the bank may try to call the customer and find out if the card is stolen.

Online Shopping

Imagine you visited an online store and added some products to your cart. On second thought, you abandoned the cart and signed out without making any purchase. After some time, upon casual browsing, you see an advertisement for the same product you had planned to purchase.

The next day, you receive a mail with a discount offer for the same item. Targeted advertising is another application of big data. Online stores watch every movement of their customer from the moment they enter the store. They keep track of the pages you visited, the product you intended to buy by adding to the cart, etc. They use all this data to show targeted ads with irresistible offers that finally nudge you to purchase them.

Travel and Logistics

Big data facilitates the smooth running of logistics and transportation. It helps in scheduling flights, to show the booking status and seat availability, seasonal fluctuation in booking, etc. It also collects data regarding weather across the globe to predict flight delays. Big data is also used to analyze user trends and to predict the number of airplanes needed to cater to the increasing number of passengers. It could also be used to perform competitor analysis.

big data analytics courses in IndiaGiven above are some use cases that explain the application of big data in various industries. Apart from this, education, healthcare, digital advertising, environmental studies, human rights, etc. are some prominent areas that use big data to streamline their actions.

If you aspire to start a career in big data, this is the perfect time to enroll in a big data analyst course and secure a lucrative career.