Anil  Sakhiya

Anil Sakhiya

1598835534

Natural Language Processing In Artificial Intelligence | NLP Demo

Natural Language Processing also known as NLP is a branch of Artificial Intelligence that deals with the interaction between the computer and humans using the natural language. The ultimate objective of NLP is to meet, understand, and make sense of the human language. Keeping all the things in mind we have come up with this Natural Language Processing in Artificial Intelligence Full Course

Natural Language Processing (NLP) is a branch of AI that helps computers to understand, interpret, and manipulate human language. NLP helps developers to organize and structure knowledge to perform tasks like translation, summarization, named entity recognition, relationship extraction, speech recognition, topic segmentation, etc. NLP is a way of computers to analyze, understand, and derive meaning from human languages such as English, Spanish, Hindi, etc.

NLP analyzes text and allows machines to understand how we speak. It considers the hierarchical structure of language and performs tasks like correcting the grammar, converting speech to text, and translating between languages. In this tutorial, we have covered everything right from What is NLP, What are its challenges to Sentence Segmentation, RNN and LSTM, and much more, that will help you to understand this concept with ease.

Following pointers will be covered in this video:

  • 00:00:00 Introduction
  • 00:03:06 Agenda
  • 00:04:37 What Is Natural Language Processing?
  • 00:28:24 NLP Challenges
  • 01:18:52 Sentence Segmentation
  • 01:48:40 Dependency Grammar and Dependency Structure
  • 02:55:18 RNN and LSTM
  • 03:20:24 Example of Sequential Data
  • 03:58:50 Deep Learning For Everyone
  • 04:24:26 Recurrent Neural Network
  • 05:19:45 Demo

#artificial-intelligence #machine-learning #big-data

What is GEEK

Buddha Community

Natural Language Processing In Artificial Intelligence | NLP Demo

8 Open-Source Tools To Start Your NLP Journey

Teaching machines to understand human context can be a daunting task. With the current evolving landscape, Natural Language Processing (NLP) has turned out to be an extraordinary breakthrough with its advancements in semantic and linguistic knowledge. NLP is vastly leveraged by businesses to build customised chatbots and voice assistants using its optical character and speed recognition techniques along with text simplification.

To address the current requirements of NLP, there are many open-source NLP tools, which are free and flexible enough for developers to customise it according to their needs. Not only these tools will help businesses analyse the required information from the unstructured text but also help in dealing with text analysis problems like classification, word ambiguity, sentiment analysis etc.

Here are eight NLP toolkits, in no particular order, that can help any enthusiast start their journey with Natural language Processing.


Also Read: Deep Learning-Based Text Analysis Tools NLP Enthusiasts Can Use To Parse Text

1| Natural Language Toolkit (NLTK)

About: Natural Language Toolkit aka NLTK is an open-source platform primarily used for Python programming which analyses human language. The platform has been trained on more than 50 corpora and lexical resources, including multilingual WordNet. Along with that, NLTK also includes many text processing libraries which can be used for text classification tokenisation, parsing, and semantic reasoning, to name a few. The platform is vastly used by students, linguists, educators as well as researchers to analyse text and make meaning out of it.


#developers corner #learning nlp #natural language processing #natural language processing tools #nlp #nlp career #nlp tools #open source nlp tools #opensource nlp tools

Ananya Gupta

Ananya Gupta

1615455046

Start a Career in Machine Learning and Artificial Intelligence

Artificial Intelligence (AI) made headlines recently when people started reporting that Alexa was laughing unexpectedly. Those news reports led to the standard jokes about computers taking up the planet.

The AI Career Landscape
AI is returning more traction lately due to recent innovations that have made headlines, Alexa’s unexpected laughing notwithstanding. But AI has been a sound career choice for a short time now due to the growing adoption of the technology across industries and therefore the need for trained professionals to try to to the roles created by this growth.

AI and Machine Learning Explained
If you’re new to the sector, you would possibly be wondering, just what’s AI then? AI is how we make intelligent machines. It’s software that learns almost like how humans learn, mimicking human learning so it can take over a number of our jobs for us and do other jobs better and faster than we humans ever could. Machine learning may be a subset of AI, so sometimes when we’re describing AI, we’re describing machine learning join online machine learning course, which is that the process by which learn Artificial Intelligence course now!

The Three Main Stages of AI
AI is rapidly evolving, which is one reason why a career in AI offers such a lot potential. As technology evolves, learning improves. Van Loon described the three stages of AI and machine learning development as follow:

Stage one is machine learning - Machine learning consists of intelligent systems using algorithms to find out from experience.
Stage two is machine intelligence - Which is where our current AI technology resides now. during this stage, machines learn from experience supported false algorithms. it’s a more evolved sort of machine learning, with improved cognitive abilities.
Stage three is machine consciousness - this is often when systems can do self-learning from experience with none external data. Siri is an example of machine consciousness.

Subsets of Machine Learning

Neural Networks
Natural Language Processing (NLP)
Deep Learning

How to start in AI?
If you’re intrigued by this career field and wondering the way to start , Van Loon described the training paths for 3 differing types of professionals; those new the sector , programmers, and people already working in data science. He also points out that various industries require different skill sets, but all working in AI should have excellent communication skills before addressing the maths and computing skills needed.

Specific Jobs in AI

  • Machine Learning Researchers
  • AI Engineer
  • Data Mining and Analysis
  • Machine Learning Engineer
  • Data Scientist
  • Business Intelligence (BI) Developer

The Future of AI

As the demand for AI and machine learning has increased, organizations require professionals with in-and-out knowledge of those growing technologies and hands-on experience.If you would like to be one among those professionals, get certified, because the earlier you get your training started, the earlier you’ll be working during this exciting and rapidly changing field.CETPA provides Graduate program will assist you substitute the gang and grow your career in thriving fields like AI , Machine Learning, and Deep Learning.

If you’re curious about becoming an AI expert then we’ve just the proper guide for you. the synthetic Intelligence Career Guide will offer you insights into the foremost trending technologies, the highest companies that are hiring, the talents required to jumpstart your career within the thriving field of AI, and offers you a customized roadmap to becoming a successful AI expert.

#artificial intelligence online training #artificial intelligence online course #artificial intelligence training in noida #artificial intelligence training in delhi #artificial intelligence training #artificial intelligence course

Ananya Gupta

Ananya Gupta

1616153023

7 Ways Artificial Intelligence Can Help Make Your Time at Home

Artificial Intelligence enhances the speed, precision, and effectiveness of human efforts. In financial institutions, AI techniques are often wont to identify which transactions are likely to be fraudulent, adopt fast and accurate credit scoring, also as automate manually intense data management tasks.

AI would have a coffee error rate compared to humans if coded properly. they might have incredible precision, accuracy, and speed. they will not be suffering from hostile environments, thus ready to complete dangerous tasks, explore in space, and endure problems that might injure or kill us.

1. AI goes to show your kitchen into a Michelin star restaurant
Smart kitchen appliances and smart speakers are making their way into kitchens all around the world. you’ll even have one now. Whether it is a coffee machine or an oven, these tools are evolving, learning your schedules and patterns so that they will provide you with warm food, coffee, etc. However, this is often just the start.

Your new smart fridge could also be ready to track when food is low and place orders for you when food is low. Or, better yet, AI might be wont to assist you to create the right meal with just the ingredients you’ve got within the refrigerator. Utilizing AI technologies with gastronomical learning, companies like Plant Jammer and Chefling are helping people create delicious food with the ingredients they need available. Currently, Facebook has developed an image-to-recipe generation system that permits users to reverse engineer a recipe by only taking an image of the dish.

2. The way you experience entertainment will change

Google Assistant, Cortana, and Alexa have already infiltrated your home, impacting the way you interact together with your TV and streaming services, allowing you to voice control almost everything; slowly making remotes obsolete. almost like the kitchen example, these devices are learning your watching habits, eventually directing you on what to observe. However, it’s getting to go much further.

3.You’re getting to have tons more fun together with your games

You may be proud of the gaming industry, or perhaps you wish to ascertain some major changes. Though a touch slower on the buyer side, there’s a change coming to the gaming industry, change driven by AI. Developers are using AI to make more immersive and realistic experiences, even within a fantasy world.
AI will better help developers create games that change on the fly, adapting to your gameplay. Even more so, if you’ve got old games that you simply would like remastered, AI is additionally getting used to enhance the general look of classic games. Finally, while reception, expect customized gaming experiences. If you want to learn AI and work practically then join the best Artificial Intelligence Training Institute in Noida and improve your skills now.

4. You’ll have your own Alfred soon

Maybe you usually wanted to possess a Jarvis AI system like Tony Stark? Or, perhaps you would like to travel the more traditional route and obtain yourself a loyal butler-like Alfred. Whichever the case, AI could make this possible via robotics. the world of robot personal assistants is an industry growing rapidly. Though some would simply dub the present models as just smart speakers with wheels, many of those current robotic personal assistants offer tons of impressive features. Soon, you would possibly have something that appears tons less like Wall-E and more just like the robots in iRobot

Robots like Jib are a little example of the approaching future. The social robot looks around, learning about you and your home. He even has an “expressive face.” He can even take pictures of you and share them on social media.

5. Enhanced health and fitness reception
Being able to watch patient’s reception with real-time data remotely, effectively, might be revolutionary. Going far beyond the Apple watch that you simply wear your wrist immediately, healthcare professionals could tap into the predictive powers of AI to work outpatients who are potentially in danger of disease or injury. This can give doctors tons more power but could alleviate a number of the pressure placed on the healthcare systems during flu season, saving lives. Companies like Gyant, Medopad, and Chonisense Medical are utilizing current AI technologies to seem after the elderly and chronic patients.

6. Your home will become more environmentally friendly
As humans, there’s no denying it; we will be wasteful, especially in our homes. However, having more control and knowledge of our waste and energy consumption could help us become more environmentally friendly, saving you money within the long-term. Though already available in some places across the planet, with products to get, AI energy-saving systems have yet to be fully adopted.

7. Your home is going to be ready to fix itself

The idea isn’t too far away. And, let’s agree home projects aren’t always the foremost exciting. Even more so, when something breaks in your home, you would like to repair it as soon as possible. a bit like a sensible medical device, homes are going to be ready to run self-diagnostics predicting potential issues before they occur, contacting the acceptable repairman, who may very well be a robot.

#artificial intelligence online training #artificial intelligence online course #artificial intelligence training in noida #artificial intelligence training in delhi #artificial intelligence training #artificial intelligence training institute

Sival Alethea

Sival Alethea

1624381200

Natural Language Processing (NLP) Tutorial with Python & NLTK

This video will provide you with a comprehensive and detailed knowledge of Natural Language Processing, popularly known as NLP. You will also learn about the different steps involved in processing the human language like Tokenization, Stemming, Lemmatization and more. Python, NLTK, & Jupyter Notebook are used to demonstrate the concepts.

📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=X2vAabgKiuM&list=PLWKjhJtqVAbnqBxcdjVGgT3uVR10bzTEB&index=16
🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!
☞ **-----CLICK HERE-----**⭐ ⭐ ⭐
Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#natural language processing #nlp #python #python & nltk #nltk #natural language processing (nlp) tutorial with python & nltk

Murray  Beatty

Murray Beatty

1597712044

Natural Language Market To Surpass $40 Billion By 2025

Initial setup costs remain a barrier to market growth, as well as a lack of skilled professionals to implement NLP.

The natural language processing market, which includes machine translation, information extraction, summarization, text classification and sentiment analysis, is expected to reach a $41 billion valuation by 2025.

An increase in demand for analyzing conversations and social media, alongside other customer experience enhancements, are considered key drivers for NLP, according to Adroit Market Research.

#artificial intelligence technologies #trending now #adroit market research #artificial intelligence #natural language #natural language processing