It is a truth universally acknowledged that sentiment analysis is super fun, and Pride and Prejudice is probably my very favorite book in all of literature, so let's do some Jane Austen natural language processing. Project Gutenberg makes e-texts available for many, many books, including Pride and Prejudice which is available here. I am using the plain text UTF-8 file available at that link for this analysis. Let's read the file and get it ready for analysis. The plain text file has lines that are just over 70 characters long.

The days when a Facebook post would reach 90 percent of a page's audience have come and gone. In 2011, I was managing operations for Coca-Cola's global Facebook page, which had just surpassed Starbucks to become the largest CPG brand page on Facebook. The page was shared among dozens of markets because Facebook did not yet support regional pages. And each post was geotargeted to reach the right audience. One fine August day, Facebook dropped the targeting from a post specific to our Brazilian audience.

Machine learning packages for Python, Java, Big Data, Lua/JS/Clojure, Scala, C/C, CV/NLP, and R/Julia are represented using a cute but ill-fitting metaphor of a periodic table. We extract the useful links.

Machine learning has crossed from the lab to the business world. Machine learning provides insights that help to create more intelligent data-driven applications that improve business processes, operation, and easier decision making. In a conversation at Structure Data 2016 conference in San Francisco, Dr. Peter Lee, Corporate Vice President, Microsoft Research and Jack Clark, Bloomberg News – San Francisco, talked about the advances we made in Artificial Intelligence (AI) and machine learning in recent years. Dr. Lee is responsible for Microsoft Research New Experiences and Technologies. He said that AI is essentially used to really understand what customers want.

AYLIEN Text Analysis API is a package of easy to use Natural Language Processing, Information Retrieval and Machine Learning tools that will help you extract meaning and insight from text and images. The Basic plan allows you to make 1,000 calls/day for free, forever. Use our Text Analysis API to analyze documents, news articles, Tweets and URL's.

Facebook is looking to revolutionise the way brands interact with customers through sophisticated software known as bots that can hold elaborate conversations. These pieces of code that emulates artificial intelligence (AI) will spearhead the company's monetisation strategy for its Messenger app which has over 900 million users as of today. Mark Zuckerberg introduced chatbots for Messenger at the recent F8 developer conference, giving us a broad idea of what they will be able to do. For starters, users will be able to get weather and other updates from within the Messenger app, but more sophisticated uses include receiving invoices and facilitating customer care queries. Bots have been active on the beta version of Messenger for the past two days and the verdict by early users has been that there's still a long way to go to make the interactions more human.

I built deepjazz in 36 hours for HackPrinceton, Spring 2016. It uses Keras & Theano, two deep learning libraries, to generate jazz music. Specifically, it builds a two-layer LSTM, learning from the given MIDI file. It uses deep learning, the AI tech that powers Google's AlphaGo and IBM's Watson, to make music -- something that's considered as deeply human. This project develops a lot of preprocessing code (with permission) from Evan Chow's jazzml.

A microscope, invented by a professor at the University of California, uses artificial intelligence in order to locate cancer cells more efficiently than ever before. The device uses photonic time stretch and deep learning to analyze 36 million images every second without damaging the blood samples. This new technique for identifying problematic cells is faster and more accurate than standard methods currently in practice. Commonly, doctors will add biochemicals to blood samples in order to check for cells containing cancer. The biochemicals attach what scientists call "biological labels" to damaged cells, which enables instruments to both locate and identify differences.

Ratnesh Pandey, Co-Founder, Healthkhoj.com worked in multi cultural International business environments in Europe and US. He has executed complex engagements with globally distributed teams and vendors. He possesses domain knowledge on B2B IT marketing, Lead progression, Campaigns, Branding and Promotions. Healthkhoj is changing the way healthcare services are delivered and consumed. We are doing this by bringing different service providers in the patient care cycle together, which means that the people will be able to access everything they need through healthkhoj.

Like many hospitals, Advocate was struggling to reduce 30-day hospital readmissions, a key benchmark for Medicare reimbursement. An earlier risk-stratification model developed in-house at Advocate had yielded a model with little predictive power, a result that has been typical for attempts to use administrative data alone to classify patients. The model automated the process, identifying patients deemed at high risk of readmission and embedding the information within the EHR. The first iteration of the model yielded only modest predictive value. But after only a year of use, readmissions from all causes had dropped by 20 percent among the highest-risk patients in the Advocate system when comparing outcomes in the first half of 2013 with the same period in 2014.