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Can machines understand your language? How do Google and Alexa get your words? Are they able to understand the context? Will they be able to? This is where Natural Language Processing comes in. An expanding field which goes hand in hand with artificial intelligence, it has changed the way of interaction between humans and machines.
In this information age, data is getting accumulated in enormous proportions. With the advent of Artificial Intelligence, computers do not just follow instructions. They are being programmed to evolve themselves. While computers can handle innumerous tasks with ease, they still require a little help when it comes to human languages with hundreds of different languages and dialects, all with their own set of grammar rules, slang, terms, and syntax.
What is Natural Language Processing?
It is an interdisciplinary field focussing on linguistics, computer science, and artificial intelligence. It is concerned with human interactions with computers. The aim is to find the best ways to program computers so they can process and analyse vast amounts of natural language data (human speech with its subtleties, contextual nuances, etc.). Thus computers can get the clear data and provide insights.
The challenges that natural language processing is facing are: natural language understanding, natural language generation and speech recognition.
Who can pursue Natural Language Processing courses?
- Your mathematical and linguistics intelligence are high and you wish to explore them both
- You love to code and you love to design better things.
- You are in college (computer science,/ computer applications) and can see the vast horizon filled with opportunities in the field.
- You are a professional (Artificial Intelligence, Machine Learning, Software Development, etc.) and knows its pertinent to bridge any gaps that you might have
If this is you, then Natural Language Processing courses are for you.
Eligibility Criteria for Natural Language Processing Courses
Natural Language processing is a vast field, combining computer science, AI, machine learning, shell scripting, data structures, linguistics, mathematics, statistics, linear algebra, calculus, etc. These are used in various aspects of NLP. For practical use of the existing tools in NLP, you can manage without much of the aforementioned things. However if your aim is research, or delving deep into what is going inside these tools, then you will need some advanced mathematics, understanding of data structures, etc.
Thus the course is more suited for those with a computer science and mathematics background.
You can also opt for online artificial intelligence certification courses as well.
Important Skills for Natural Language Processing courses
- Programming skills (Java, Python, C++ )
- Linear algebra, statistics and probability
- Patience to build and modify the programs
- Soft skills
- Logical and analytical skills
- Time Management
What will you learn in Natural Language Processing courses?
The job market in software demands exceptional talents in Natural Language Processing. So the aim of the NLP courses is to teach the student about NLP using machine learning approaches. It will cover linguistics fundamentals (semantics, syntax, etc.), key algorithms for inference, machine learning models (sequence taggers, deep learning models, classifiers, etc.) Here are more details about various concepts learned in Natural Language Processing courses.
- Natural Language Processing
- Text Processing
- Tagging parts of speech with hidden Markov Models
- How to design software that embeds algorithms, extracts text features and modelling
- Deep Learning Attention and Information Retrieval from systems
- Voice Interface
- Speech Recognition
- Alexa History Skill
- Frequency of distribution
- Programming Value Decomposition
- Latent Semantic Analysis
Popular Natural Language Processing certification courses
As you have already read how crucial it is for computers to communicate effectively with humans, you might think that such a skill (NLP) requires an extensive degree. But you are wrong, if you already have the programming and mathematical knowledge then these Natural Language Processing certification courses will fit you just fine. Within a few months you can become a pro. Here are our picks for some of the best Natural Language Processing certification courses.
Career Opportunities after Natural Language Processing Courses
Machine learning engineer
You deploy different models to achieve business objectives through model development. You analyse Machine learning algorithms as well as train models and tune their hyperparameters. You do routine checkups and come up with strategies to overcome errors in the models
Natural Language Processing Engineer
You design and develop NLP systems for your clients. You define appropriate datasets for language learning. You implement the correct algorithms and tools for different NLP tasks. You also train the developed model and evaluate it based on practical run
Natural language processing (NLP) comes from an amalgamation of computer science, Information sciences, AI, and linguistics. NLP focuses on the interaction between computers and human languages.
Learning NLP can take you to the top of the market. It is not only an additional asset for IT professionals, but also a stand alone one which can reap high remunerations. And this applies on a global level. Here is a list of professions related to Natural Language Processing along with their compensations.
Average Salary p.a.
Machine Learning Engineer
**Source of Salary Details: Payscale, Glass door
Note: The given salary details may vary depending on experience, skills, company, location etc.
Scope after Natural Language Processing courses
The global market of artificial intelligence is expected to reach 118.6 billion dollars by 2025 and along with it the prominence of NLP, Robotics and Automation, Machine Learning, etc. NLP especially is crucial as machines should be able to effectively communicate with humans. Natural Language Processing helps in speech recognition, text analytics, etc. helping the world of automation become more and more a reality. So you will find all industries favourable to you both in the country as well as overseas.
Q. What is the future of Natural Language Processing courses?
A. Imagine a world where there is no more progress as the machines have come to a point where they can execute most tasks but cannot understand the nuances of human interactions. NLP solves that issue.
Q. Does NLP require knowledge in coding?
A. If you want to benefit from NLP, then you don’t need to. But to have a working knowledge of the field, you should be familiar with programming. (e.g: Python)
Q. Are Natural Language Processing courses expensive?
A. Not at all. Most online Natural Language Processing courses are free of cost. The paid courses can range from a few thousand rupees to well below INR 50,000/-.
Q: How long would it take me to complete Natural Language Processing courses?
A: You will be able to complete most Natural Language Processing courses within the span of a few months, at the most.
Q: What are some of the best applications of Natural Language processing?
A: Here are some of the best applications of Natural Language processing:
- Text analytics
- Autocorrect and Autocomplete.
- Targeted Advertising
- Survey Analysis
- Hiring and Recruitment
- Language Translator
- Social Media Monitoring
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