Natural Language: Instructional Materials


Build Your Own Chatbot

#artificialintelligence

Chatbots are one of the most exciting and in-demand topics in tech. Gartner predicts that by 2020, 85% of businesses will have their own chatbot. If you want to learn this rapidly emerging technology, put a chatbot on your own website or make money by building chatbots for clients, this free chatbot course is for you. This course provides a practical introduction on how to build a chatbot with Watson Assistant (formerly Watson Conversation). Within it, you'll learn how to plan, build, test, analyze, and deploy your first chatbot.


Best Chatbot books, courses & tutorials 2018 - ReactDOM

#artificialintelligence

Here's a list of some of the best Chatbot tutorials, courses, videos and books to help you learn Chatbots in 2018. ChatBots: How to Make a Facebook Messenger Chat Bot in 1hr by Stefan Kojouharov will help you build a Chat Bot for Facebook Messenger. This is a step by step guide in building a chatbot for Facebook Messenger. You will learn the main components of building a chatbot. This includes building the chatbot server, adding your code, deploying your chatbot to the cloud, and connecting it with Facebook Messenger.


Easy Natural Language Processing (NLP) in Python

#artificialintelligence

In this course you will build MULTIPLE practical systems using natural language processing, or NLP - the branch of machine learning and data science that deals with text and speech. This course is not part of my deep learning series, so it doesn't contain any hard math - just straight up coding in Python. All the materials for this course are FREE. After a brief discussion about what NLP is and what it can do, we will begin building very useful stuff. The first thing we'll build is a spam detector.


Projects In Machine Learning NLP for Text Classification with NLTK & Scikit-learn Eduonix

#artificialintelligence

In this tutorial, we will cover Natural Language Processing for Text Classification with NLTK & Scikit-learn. Remember the last Natural Language Processing project we did? We will be using all that information to create a Spam filter. This tutorial will also cover Feature Engineering and ensemble NLP in text classification. This project will use Jupiter Notebook running Python 2.7.


R NLP & Machine Learning: Lyric Analysis

#artificialintelligence

This is part one of a three-part tutorial series in which you will use R to perform a variety of analytic tasks on a case study of musical lyrics by the legendary artist, Prince. Musical lyrics may represent an artist's perspective, but popular songs reveal what society wants to hear. Lyric analysis is no easy task. Because it is often structured so differently than prose, it requires caution with assumptions and a uniquely discriminant choice of analytic techniques. Musical lyrics permeate our lives and influence our thoughts with subtle ubiquity. The concept of Predictive Lyrics is beginning to buzz and is more prevalent as a subject of research papers and graduate theses. This case study will just touch on a few pieces of this emerging subject. To celebrate the inspiring and diverse body of work left behind by Prince, you will explore the sometimes obvious, but often hidden, messages in his lyrics. However, you don't have to like Prince's music to appreciate the influence he had on the development of many genres globally. Rolling Stone magazine listed Prince as the 18th best songwriter of all time, just behind the likes of Bob Dylan, John Lennon, Paul Simon, Joni Mitchell and Stevie Wonder. Lyric analysis is slowly finding its way into data science communities as the possibility of predicting "Hit Songs" approaches reality.


Deep Learning For Coders--36 hours of lessons for free

#artificialintelligence

This 7-week course is designed for anyone with at least a year of coding experience, and some memory of high-school math. You will start with step one--learning how to get a GPU server online suitable for deep learning--and go all the way through to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems. There are around 20 hours of lessons, and you should plan to spend around 10 hours a week for 7 weeks to complete the material. The course is based on lessons recorded during the first certificate course at The Data Institute at USF.


5 Best Python Online Courses on Simpliv

#artificialintelligence

Source code (with copious amounts of comments) is attached as a resource with all the code-alongs. The source code has been provided for both Python 2 and Python 3 wherever possible. This team has decades of practical experience in working with Java and with billions of rows of data. Prerequisites: No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided.


NLP in Online Courses: an Overview – sciforce – Medium

#artificialintelligence

It goes without saying that Natural Language Processing, or NLP, is one of the most important and demanded technologies of the present day. You can find it everywhere as people communicate almost everything in language: it is present in web searches, advertisement, emails, customer service, language translation, summaries, etc. On my first acquaintance with NLP, I remember watching an online lecture where a lady was saying: "NLP is easy. Just install the NLTK library and with a minimum experience in Python you can start experimenting". Time flies, as our QA engineers like saying in their test logs.


Data Science: Natural Language Processing (NLP) in Python

@machinelearnbot

In this course you will build MULTIPLE practical systems using natural language processing, or NLP - the branch of machine learning and data science that deals with text and speech. This course is not part of my deep learning series, so it doesn't contain any hard math - just straight up coding in Python. All the materials for this course are FREE. After a brief discussion about what NLP is and what it can do, we will begin building very useful stuff. The first thing we'll build is a spam detector.