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A deep learning certification can take you places in 2022

Posted on by Imarticus Learning

A deep learning certification can take you places in 2022

You’d be surprised how a self-driving car can make sense of the data. It can identify people on the road, traffic signals, road dividers, etc. The intelligence behind this is a well-known learning method. That is “learning by example”.

In humans, the brain is constantly observing and learning. Learning generates responses to stimuli and observations through neural pathways. It involves millions of cells to help our brain work. Deep Learning uses the same logic. It engages artificial neural networks for machines to predict tangible outcomes. DL can process features from information fetched from 150 layers. It enables a device to learn things by example or data. This helps it to review its performance itself.

Importance of deep learning

Organisations need advanced data processing to stay ahead in the digital age. DL justifies its existence in the market by outperforming manual work.

Companies investing in DL are looking to solve complex problems. This helps with the collection of large data sets. DL powers tasks that require voice and image detection from a large volume of data. Standard DL techniques include face recognition, object recognition, assistance, voice-to-speech applications, and translation.

Companies globally are adopting ML. This trend will continue to rise in the coming years. According to GlobeNewswire, the ML market is expected to reach $117.9 billion by 2027. The demand for ML experts is also increasing.

Becoming an ML Expert

Not everyone needs to pursue a graduate degree in ML and AI to serve in the data science domain. Many aspirants prefer to pursue a fast-track certification. For example, Deep Learning Certification Course.

artificial intelligence and machine learning courses in India

Those interested in becoming data science professionals start with an ML course. It helps you build a strong foundation for developing AI-based solutions. Many students sign up for various AI Training courses to acquire skills in the data science arena.

You need to select a good course. Ensure that it complies with the current market needs. Technical graduates, especially those who want to shift their career path to the latest trends in data science, can choose certification courses to align with others on the job.

One such course is the certification in artificial intelligence and machine learning program conducted by E & ICT Academy, IIT Guwahati, sponsored by Imarticus Learning. The course stands out for its industry-recognised curriculum and credible teaching standards. Its cutting-edge delivery method prepares students to take on roles as Machine Learning Engineers, Data Scientists, Data Analysts, and AI engineers after successful completion.

Certification in AI & ML course advantages

Following are some of the benefits of the Certificate in Artificial Intelligence and Machine Learning program by IIT Guwahati:

Live online training for students for nine months on weekends. It helps them connect with peers. Also, they get time for self-study. Working professionals benefit the most from the course. Also, it offers extendable credit points for one year per the NEP 2020.

Online sessions connect faculty and industry veterans and cover robust curriculum topics, over 100 assignments, 25 in-class real-world AI and ML projects, and encourage participation in national hackathons.

Designed by industry experts from E & ICT Academy, IIT Guwahati, this course skilfully prepares you to face the professional demands of the industry.

You will learn real-world ML and DL skills through several AI-based business projects, making you the next-gen AI and ML specialist.

A 3-day campus immersion opportunity at the E&ICT Academy, IIT-Guwahati, paves the way to interact with faculty and peers and learn from experts in the field who will validate your learning.

Imarticus Career Services provides placement assistance to students and conducts workshops and mock interviews in addition to CV writing. Additionally, eligible candidates can avail of scholarships based on merit and experience.

Conclusion

This certification in artificial intelligence and machine learning is an excellent course for aspiring data science professionals. It is a fantastic opportunity not only to learn machine learning but also to develop skills in AI. It will equip students with data science concepts, helps them study learning and discriminant models, and master Python programming.

Interested candidates who want more information about Deep Learning Certification Course can contact Imarticus Learning. You can connect by messaging, live chat, or visiting one of our training centres available in major cities in India. Visit our centres in Mumbai, Thane, Pune, Bangalore, Chennai, Delhi, Gurgaon, and Ahmedabad.

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The two paths from Natural Language Processing to Deep Learning

Posted on by Imarticus Learning

The two paths from Natural Language Processing to Deep Learning

Natural Language Processing is a branch of linguistics, computer science, and artificial intelligence that deals with the interaction between computers and human language, in particular how to design computers to handle and evaluate huge volumes of natural language data. We want a computer that can “understand” the text in documents, including its context and subtleties.

As a result, the papers’ data and insights may be correctly extracted by the technology, which can also classify and arrange the documents themselves.

Massive amounts of unprocessed, text-heavy data need a system like this, which is widely used in machine learning. Professionals with expertise in designing models that analyze voice and language, find contextual correlations, and generate insights from this unprocessed data will be in high demand as AI continues to grow. Natural Language Processing and Deep Learning with Python are one of the most common phrases used in the domain of Artificial Intelligence nowadays.  

In machine learning and artificial intelligence, a technique known as “deep learning” mimics human learning processes. Data science, which encompasses the statistical analysis and forecasting models, relies heavily on deep learning techniques to do its work. For data scientists, deep learning is a godsend since it speeds up the process of processing and understanding massive volumes of data. 

It is possible to think of deep learning as the automation of predictive analytics. Deep learning algorithms are piled in a hierarchical structure of increasing complexity and abstraction, while typical machine learning algorithms are linear.

Neural Networks and Deep Learning

A Neural Network, also known as an Artificial Neural Network, is made up of layers. Imagine the neurons in a human brain; they are the computing units, and they form a single layer when layered. stacking neurons together creates several layers. It is termed the input layer because it contains the data that we are working with. We run our algorithms and get an output, which is then utilized to do our computations for the following layer, the output layer.

At each successive layer, all of one layer’s neurons are linked to those at each successive layer, which are then linked to the next layer, and so on, until we reach our output layer, where we achieve our desired outcome for the specific data we were working with. Those layers that are between the input and output layers are referred to as Hidden Layers. A Neural Network is the result of this process.

A deep neural network is an artificial neural network with two or more hidden layers, and a model built on a deep neural network is referred to as Deep Learning. 

What are the main components of Natural Language Processing?

NLP consists of a number of components, a few of them are mentioned below:

  • Analysis of morphological and lexical patterns.
  • Syntactic Analysis: Study of logical meaning from a given part of the information, be it text or audio.
  • Semantic Analysis: Used to analyze the meaning of words.

Modern Face Recognition: The Marvels Of Deep Learning

Posted on by Imarticus Learning

You can say you’re living in an exciting time when a phone can recognize your face; even social media can help you automatically tag your friends without having to look for them. It’s so convenient; no one has to search for a name anymore! Face recognition does the trick. 

Modern Face Recognition technology is a marvel of deep learning. As one dives to explore Machine learning and Artificial Intelligence, it becomes easier to understand how facial recognition technology uses deep learning algorithms to identify and match the face with a database. It is here to solve the modern-day problem!

Deep learning enables individuals to use massive datasets of faces to their advantage. It allows one to learn how to represent faces richly and compactly. One has the agency to allow modern models first to perform and even surpass the face recognition capabilities of human beings. If you’re interested in deep learning, you can consider undergoing a Deep Learning Certification Course.

A Deep Learning Certification Course teaches the learner to chain together several machine learning algorithms. Even today, recognizing facial images acquired in an outdoor environment and with changes in illumination pose remains an unsolved problem. 

There is a great leap when it comes to detecting faces automatically. 

Whether it is face detection, face alignment, feature extraction, or face recognition: all systems have a different module or a program for each step. The thing with deep learning is that it becomes more accurate with increasing databases. 

For those planning to pursue a career in deep learning and are intrigued by the modern face recognition features, the fascinating thing about deep learning courses is that it counts data as experienced within their field, and the marvellous thing is that it works like a human brain! It is all about gaining experience with the new datasets and the accumulated past. 

Profound learning benefits include presenting factual responses to real-time data and making reliable predictions. The data faceprint is often used and compared with facial recognition software to present factual responses to real-time data.

Hence, modern face recognition relies on four established Deep Learning systems that work together. They are as follows:

  1. DeepFace has an accuracy of 97.25% and relies on digital images to detect an individual’s identity.
  2. DeepID- is known as reported to be more successful than human beings and is the first model of deep learning developed for facial recognition.
  3. FaceNET helps in getting state-of-the-art results and is known to use the triplet loss function, resulting in better feature extraction.
  4. VGGFace is a series of models developed for face recognition and helps recognize faces.

best data science courses with placement in IndiaThose interested in Certification in Artificial Intelligence & Machine learning have a chance to upskill themselves and immerse themselves in the latest and ever-evolving face recognition technology.

Get ready to explore deep learning methods and gain an in-depth knowledge of multi-tiered courses and an algorithm that is bent on creating statistical inputs unless one reaches an acceptable level of precision.

So, those who are interested in facial recognition technology can enrol for Certification in Artificial Intelligence & Machine Learning from Imarticus Learning. With deep learning techniques, you can achieve superhuman performance and solve problems related to face recognition. 

To enrol in a deep learning certification course that can transform one’s future, contact Imarticus Learning through chat support. One can drive to the training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

Kick-start your career with the program that is the most sought after by technocrats today and can provide you with a well-paying job.