This article was originally posted by Shahul ES on the Neptune blog. Exploratory data analysis is one of the most important parts of any machine learning workflow and Natural Language Processing is no different. But which tools you should choose to explore and visualize text data efficiently? In this article, we will discuss and implement nearly all the major techniques that you can use to understand your text data and give you a complete(ish) tour into Python tools that get the job done. In this article, we will use a million news headlines dataset from Kaggle. Now, we can take a look at the data. The dataset contains only two columns, the published date, and the news heading.

Manufacturers and suppliers commonly offer maintenance contracts to companies who purchase operation-critical equipment. A preventative maintenance application based on a machine learning (ML) model can be used to help avoid failures that could impact business. To build the model, the manufacturer or supplier must spend time, money, and effort. However, to eliminate the costs of a maintenance contract, the customer could duplicate the model and manage the maintenance without the supplier's assistance. To build a machine learning (ML) model for maintenance, an appropriate training set must be collected and labeled; the architecture and training parameters must be chosen for optimal accuracy–speed trade-offs for the algorithm; and computing time is required to train it.

In response to the COVID-19 outbreak, AI company BioMind developed a solution (BioMind AI-COVID) with the aim of diagnosing COVID-19 Pneumonia in a fast, accurate and cost-effective manner. It has since been deployed in hospitals across China, and is intent on expanding its footprint globally. Ian Bolland found out more. Give us some background about BioMind – who developed it? BioMind is an award-winning Artificial Intelligence company that specialises in creating predictive applications to assist doctors in their daily work.

Brock Ferguson is a practice-over-theory kind of guy. The Chicago-based data-science and machine-learning consultancy he co-founded in 2016, Strong Analytics, puts a major focus on productionizing AI models rather than just building out proofs of concept. "We want to minimize that gap between research in the lab and deploying to production," he said. "We think about that a lot." That means thinking a lot about cost -- something that's never far from the minds of machine-learning practitioners and consultants, but which came to the forefront again thanks to a much-circulated recent Andreesen Horowitz review that emphasized the high and ongoing computing costs of building and deploying artificial intelligence models.

Technology is Chicago's fastest-growing industry sector, having grown more 270 percent over the last decade, according to World Business Chicago. And 2019 was a model year that not only encapsulated the growth of technology in the city but also positioned Chicago for further success in 2020 and beyond. Influential leaders in tech launched Chicago's Plan for 2033, or P33, to enhance the city's viability as a global tech hub with a strong and diverse workforce through the next decade. Mayor Lori E. Lightfoot said on Chicago Tech Day that 15 local tech companies have added or will be adding 2,000 jobs through 2020. Uber announced it would be bringing that same number of jobs to Chicago over the next three years and spending more than $200 million annually on the city. But it isn't just major initiatives and companies with household names that will be bringing continued success to Chicago tech. Smaller startups entering the city's tech scene are shaping everything from mental health care to cryptocurrency trading to vehicle leasing. We found 50 such companies -- all less than three years old -- that are poised for growth in the coming year. Brett Quillen contributed in writing this report. Interested in Chicago tech?See all open roles on Built In CHI Arturo wants to take property risk management to the skies by using drones and satellite, aerial and ground imagery to assess residential and commercial property characteristics. The data it collects is powered by predictive analytics to give clients that lend, insure or invest in properties the ability to minimize risk and determine market patterns.

Amazon's voice assistant, Alexa, can now help users who are worried about having been infected with novel coronavirus. According to the company, users can now query any device equipped with Alexa with phrases like'Alexa, what do I do if I think I have coronavirus?' and the assistant will begin to quiz them about their symptoms. The assistant will then provide users with information pulled from the Centers for Disease Control and Prevention in an effort to provide sound advice on what to do. Amazon's line of Alexa-enabled devices like the Echo (pictured) can now provide users guidance on what to do if they think they may have novel coronavirus As a part of the update, users can now also ask Alexa to'sing along' while they wash their hands to help them time the task for 20 seconds - the recommended amount of time for proper sanitation. That feature is currently available in Australia, Brazil, Canada, France, India, the UK, and the US and mirrors a similar feature rolled out by Google on its home assistants. The feature most closely mirrors one rolled out by Apple this week which updated its own voice assistant, Siri, to help provide users with guidance on coronavirus.

Experts are set to unleash a'pandemic drone' to help limit the spread of coronavirus. The drone is fitted with sensors and computer vision, allowing it to monitor and detect people with infectious respiratory conditions. The system could also identify people sneezing and coughing in crowds, offices, airports, cruise ships, aged care homes and other places where groups of people may work or congregate. Its creators hope to deploy the drone in six months and in various hotspots where'the most amount of detection is currently required.' Experts are set to unleash a'pandemic drone' to help limit the spread of coronavirus.

One of the biggest understatements that can be made is that automotive production operations--say an engine plant--are highly complex networks of people, machinery, controls, communications, and work in various states of process. Take the FCA Trenton Engine Complex. It is even called "complex" in its name. This is a two-facility operation, There is Trenton South. It covers some 822,000 square feet.

Klarrio and UBIX entered into a consulting partnership agreement, in which both firms will collaborate on a number of data science and artificial intelligence (AI) initiatives. Under the agreement, Klarrio, one of the world's leading providers of real-time data-streaming solutions, will provide services and delivery capabilities to enhance the deployment of the UBIX platform of AI-on-demand tools to enterprises. "This partnership will help strengthen our companies' collective capabilities in data streaming, data science, AI and IoT," said Doug Barton, UBIX President and CEO. "Our collaboration will help both of us to further develop solutions, methodologies and best practices that are mutually beneficial for our companies, our customers and the market as a whole." UBIX provides AI-on-Demand, addressing the scarcity and cost of skilled data-science personnel, bringing together a variety of open-source AI technology including a patent-pending AI learning engine that helps data science teams design, develop, deploy, and monitor predictive models more quickly and efficiently.

When you hear the words artificial intelligence, what's the first thing that comes to mind? Driverless cars, Amazon shopping, Netflix movie recommendations and trading software to help bankers. Many think of artificial intelligence in healthcare as a buzz word or just a concept that will fully develop in the near future, but has no impact in your life right now. Some other household examples of current-day technology that use AI include Siri, Alexa, Google Now – these popular speech recognition software assistants all use artificial intelligence! Recently, Alexa was cleared to handle patient information.