Tag: machine learning

Feed: Featured Blog Posts - Data Science Central. Author: Zeeshan Usmani. Kaggle is an AirBnB for Data Scientists – this is where they spend their nights and weekends. It’s a crowd-sourced platform to attract, nurture, train and challenge data scientists from all around the world to solve data science and predictive analytics problems through machine learning. It has over 536,000 active members from 194 countries and it receives close to 150,000 submissions per month. Started from Melbourne, Australia Kaggle moved to Silicon Valley in 2011, raised some 11 million dollars from the likes of Hal Varian (Chief Economist at Google), ... Read More

Feed: All - O'Reilly Media. Author: Mac Slocum. Ben Lorica at the AI Conference in San Francisco 2017 (source: O'Reilly Conferences via Flickr) Experts from across the AI world are coming together for the Artificial Intelligence Conference in San Francisco. Below you'll find links to highlights from the event. The inevitable merger of IQ and EQ in technology Rana el Kaliouby lays out a vision for an emotion-enabled world of technology. Engineering the future of AI for businesses Ruchir Puri addresses the opportunities and challenges of AI for business and focuses on what's needed to scale AI across the breadth ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Vinay Shukla. Our customers increasingly leverage Data Science, and Machine Learning to solve complex predictive analytics problem. A few examples of these problems are churn prediction, predictive maintenance, image classification, and entity matching. While everyone wants to predict the future, truly leveraging Data Science for Predictive Analytics remains the domain of a select few. To expand the reach of Data Science, the Modern Data Architecture (MDA) needs to address the following 4 requirements: Enable Apps to consume predictions and become smarter Bring predictive analytics to the IOT Edge Become easier, more accurate & faster ... Read More

Feed: R-bloggers. Author: Shirin's playgRound. Today, I have given a webinar for the Applied Epidemiology Didactic of the University of Wisconsin – Madison titled “From Biology to Industry. A Blogger’s Journey to Data Science.” I talked about how blogging about R and Data Science helped me become a Data Scientist. I also gave a short introduction to Machine Learning, Big Data and Neural Networks. My slides can be found here: https://www.slideshare.net/ShirinGlander/from-biology-to-industry-a-bloggers-journey-to-data-science Related To leave a comment for the author, please follow the link and comment on their blog: Shirin's playgRound. R-bloggers.com offers daily e-mail updates about R news and tutorials ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Large prime numbers have been a topic of considerable research, for its own mathematical beauty, as well as to develop more powerful cryptographic applications and random number generators. In this article, we show how big data, statistical science (more specifically, pattern recognition) and the use of new efficient, distributed algorithms, could lead to an original research path to discover large primes. Here we also discuss new mathematical conjectures related to our methodology. Much of the focus so far has been on discovering raw large primes: Any time a new ... Read More

Feed: SAS Blogs. Author: Vivian Jones. Las vemos a diario en Twitter, nuestro feed de noticias en Facebook, en foros de LinkedIn o en los principales medios de negocios, tecnología y tendencias que consumimos. Todas son tecnologías capaces de transformar los negocios, la manera en que tomamos decisiones y varias de las más importantes actividades de la vida misma. La analítica, el machine learning, la inteligencia artificial y la ciencia cognitiva son ante todo tecnologías disruptivas. Así se denomina toda innovación que ayude a crear un nuevo mercado o transfome uno actual, desplazando los viejos modelos y generando unos nuevos ... Read More

Feed: All - O'Reilly Media. Author: Carme Artigas. Ferris wheel (source: Skeeze via Pixabay) Check out Carme Artigas’ executive briefing “Analytics Centers of Excellence as a way to accelerate big data adoption by business” at the Strata Data Conference in Singapore, Dec. 5-7. Registration is now open. More than 10 years after big data emerged as a new technology paradigm, it is finally in a mature state and its business value throughout most industry sectors is established by a significant number of use cases. A couple of years ago, the discussion was still about how big data changed our way ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology Classifying text content with the Natural Language API Tuesday, September 19, 2017 By Sara Robinson, Developer Advocate If you work in the media industry, chances are you’ve spent more hours than you’d like manually tagging text content like blogposts, news articles or marketing copy. With the Natural Language API, you can now tag all of this content with a single API call. Using the new classify_text endpoint, the Natural Language API will return a content category ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Jean-Cyril Schutterle. Even just five years back, Artificial Intelligence (AI) was still the stuff of science fiction, confined to research labs and tech giants’ showcases. It was pretty similar to the auto show concept car – there to be admired but not to be touched. Today, though, AI is everywhere. Whether it’s virtual assistants scheduling our meetings, facial recognition software or increasingly autonomous cars, AI is making itself felt in all our private and professional lives. One thing is certain – AI is here to stay. But quite what its impact ... Read More

Feed: Big Data Made Simple - One source. Many perspectives.. Author: Manu Jeevan. Data science has gathered a lot of steam in the past few years, and most companies now acknowledge the integral role data plays in driving business decisions. Python, along with R, is one of the most handy tools in a data scientist’s arsenal. It’s also one of the simplest computer languages to learn and use, primarily because most concepts can be expressed in fewer lines of code in Python, than in other languages. Hence, beginners venturing out into the field of data science should definitely familiarise themselves ... Read More