Overview of Artificial Intelligence & Machine Learning
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This document provides information about Karan Shaw and his background in artificial intelligence and machine learning. It also summarizes machine learning and some of its applications such as virtual assistants, social media services, email filtering, customer support chatbots, search engines, and product recommendations. Finally, it lists some important natural language processing libraries and references for further learning about AI and machine learning.
Overview of Artificial Intelligence & Machine Learning
- 1. Social Media Links LinkedIn: https://www.linkedin.com/in/karan-shaw Facebook: https://www.facebook.com/karan.shaw.37 Twitter: https://twitter.com/the_karan_shaw Website: https://trybotics.com Karan Shaw Technical Lead of AI & ML @Nexright, Founder of Trybotics, Consultant, Technical Trainer, Speaker, Mentor & YouTuber.
- 2. Artificial Intelligence & Machine Learning Artificial Intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
- 6. Machine Learning and It’s Applications What is Machine Learning? Machine Learning is a subset of Artificial Intelligence which provide computers with the ability to learn without being explicitly programmed. In machine learning, we do not have to define explicitly all the steps or conditions like any other programming application. The machine gets trained on a training dataset, large enough to create a model, which helps machine to take decisions based on its learning. Applications of Machine Learning Virtual Personal Assistants (Google Assistants, Alexa, Siri) Social Media Services (Face Detection, Friend Suggestion, New Feed, Advertise) Email Spam and Malware Filtering (Gmail, Yahoo) Online Customer Support (Chatbot) Search Engine Result Refining (Google Search, Bing Search) Product Recommendations (Amazon.com, Flipkart.com) Predictions while Commuting ( GPS navigation services)
- 10. • Important NLP Libraries •Scikit-learn: Machine learning in Python •Natural Language Toolkit (NLTK): The complete toolkit for all NLP techniques. •Pattern – A web mining module for the with tools for NLP and machine learning. •TextBlob – Easy to use NLP tools API, built on top of NLTK and Pattern. •spaCy – Industrial strength NLP with Python and Cython. •Gensim – Topic Modelling for Humans •Stanford Core NLP – NLP services and packages by Stanford NLP Group.
- 11. 1) https://ai.google/education 2) https://www.edureka.co/blog/category/artificial-intelligence 3) https://www.udacity.com/school-of-ai 4) https://www.coursera.org/collections/best-machine-learning-ai 5) https://developer.ibm.com/technologies/artificial-intelligence 6) https://www.geeksforgeeks.org/difference-between-machine-learning-and- artificial-intelligence 7) https://becominghuman.ai 8) https://trybotics.com/project?search=Machine%20Learning Some References
- 12. Thank You