You must understand your data in order to get the best results from machine learning algorithms. The fastest way to learn more about your data is to use data visualization. In this post you will discover exactly how you can visualize your machine learning data in Python using Pandas. Visualize Machine Learning Data in Python With Pandas Photo by Alex Cheek, some rights reserved. Each recipe in this post is complete and standalone so that you can copy-and-paste it into your own project and use it immediately.

LONDON--(BUSINESS WIRE)--According to the latest research study released by Technavio, the global industrial robotics market in the rubber and plastic industry is expected to record a CAGR of over 18% until 2020. This research report titled'Global Industrial Robotics Market in the Rubber and Plastic Industry 2016-2020', provides an in-depth analysis of market growth in terms of revenue and emerging market trends. To calculate the market size, the report considers the revenue generated primarily through the sales and services of various industrial robotics such as cartesian, articulated, and others for different applications in the rubber and plastic industry. "China accounted for about 25% of the overall production of plastics, followed by European countries that accounted for 20%. Key findings of this report show that the demand for plastics is anticipated to grow during the forecast period, and positively impact the market. Significant improvements in gripper technology, such as the development of Versaball by Empire Robotics for handling materials of any shape and size, is also slated to play a critical role in the expansion of robots in the rubber and plastic industry," said Bharath Kanniappan, one of Technavio's lead analysts for robotics research.

We like to think we've moved past the workplace sexism of the 1950s, when men were professionals and women were secretaries. But while women have managed to break out of those subservient roles, the genders we assign to artificial-intelligence robots suggests our prejudices haven't made as much progress. After law firm BakerHostetler hired an AI "lawyer" named ROSS, journalist Rose Eveleth noted that the male name was somewhat unusual in the world of AI. I would just like to note that all the assistant AIs are given female names, but the lawyer AI is named Ross. Critics have previously noted that most AI assistants--including Apple's Siri, Google Now, Amazon's Alexa, and Microsoft's Cortana--sound like women.

IBM's artificial intelligence Ross has just landed its first job! Law firm Baker & Hostetler has announced that they are employing Ross to handle their bankruptcy practice, which currently consists of nearly 50 (human) lawyers.

Algorithms help us to choose which films to watch, which music to stream and which literature to read. But what if algorithms went beyond their jobs as mediators of human culture and started to create culture themselves? ANALYSIS: Ray Dalio, the founder of Bridgewater Associates, the largest hedge fund in the world, hired IBM's Watson programming team to incorporate artificial intelligence into the investment process. Later this year, I will be doing something similar, so stay tuned to learn more about this exciting endeavour. Sports excite people as a triumph of human effort.

For anyone who wants to learn "Data Science," I want to emphasize that it's such a fluid term. I would recommend starting out by analyzing a dataset in an area that is close to your heart, whether it's real estate pricing data for your neighborhood, or educational curriculum & outcome data. For me, it just happened to be genomic and patient health data, because that was a problem space I felt comfortable playing around in. If you explore the myriad technologies out there to help you find patterns and predict things from that data you're passionate about, before you know it you'll wake up one day and realize that you're actually a data scientist! It's all a matter of learning how to use different tools and when to apply them, and this just comes with practice.

This is my first blog here; my name is Fen. I was with MathWorks for almost 15 years. MathWorks is the creator of MATLAB andI built some of the modules in MATLAB. In the past 5 years, I led a team of consulting engineer to build data analytics solution for customers in APAC. In recent years, commercial banks and asset management companies in China started to build more quantitative models to measure credit risk. With our help, some of them chose to use MATLAB statistics and machine learning modules to build credit risk models; I would like to share a common approach I used on credit risk projects.

It was a public engagement exercise that turned into a national row after a public poll to name a new British research vessel saw the name Boaty McBoatface get the most support. But Google has had a cheeky dig at the humourless officials in the British government who objected to the name by calling its latest artificial intelligence software Parsey McParseface. The technology firm, which has just become the world's largest company, has released software that uses sophisticated machine learning to analyse the linguistic structure of language. It forms part of an open-source neural network aimed at training computers to understand how human languages are put together so they can be processed. It announced the English version of this system is called Parsey McParseface in a blog that outlined how it hopes the software will transform artificial intelligence.

Eggheads at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) claim they have trained a machine-learning system to detect 85 per cent of network attacks. To reach that level, the software, dubbed AI2 [PDF], parsed billions of lines of log files, looking for behaviors that indicate either a malware infection or a human hacker trying to get into a network. If it spotted any suspicious connections or activity, it alerted a human analyst, who identified whether the software got it right or wrong. After 3.6 billion log lines were scanned and three months of training passed, the AI2 system was able to hit 85 per cent accuracy in detecting malicious activity, we're told. "This brings together the strengths of analyst intuition and machine learning," said Nitesh Chawla, the Frank M. Freimann Professor of Computer Science at the University of Notre Dame.

Bill Gates speaks during the Forbes' 2015 Philanthropy Summit Awards Dinner on June 3, 2015 in New York City. Many are still wary about the effects of future artificial intelligence in humanity. But Microsoft cofounder and the world's richest man Bill Gates says AI won't be a threat, instead it will be "extremely helpful" in managing human lives. The actively evolving field of artificial intelligence has revolutionized the healthcare, business and education sectors around the world. AI also continues to prove its ubiquity by making great advances in technology and robotics but many warn about the existential risks of artificial intelligence.