This week PNNL announced that the lab is launching the new Northwest Institute for Advanced Computing in cooperation with the University of Washington. Researchers associated with the institute will work to ensure the next generation of computers and the methods used to run them can address challenges ranging from climate change to energy management.
Computing has transformed science, engineering and society in remarkable ways,” said Doug Ray, associate director of PNNL’s Fundamental & Computational Sciences Directorate. “But as huge amounts of new data are generated daily by scientific instruments and household electronics, new technologies and approaches are needed to give that information more meaning. Researchers at the Northwest Institute for Advanced Computing will tackle ‘big data’ and help improve the quality of life for many U.S. citizens.”
Located on UW’s campus, the institute will be a center of collaboration where UW and PNNL researchers jointly explore advanced computer system designs, accelerate data-driven scientific discovery and improve computational modeling and simulation. Scientists and engineers at the institute will also train future researchers in modern computational approaches. Read the Full Story.
Professor Andrew Ng from Stanford has posted the full set of course materials from his CS 229 Machine Learning Course.
This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs; VC theory; large margins); reinforcement learning and adaptive control. The course will also discuss recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing.
Over at Xconomy, Bruce V. Bigelow writes that a broad initiative in predictive analytics that began at the San Diego Supercomputer Center stepped up recently with a two-day “boot camp” in data mining for local companies.
The event is intended to help San Diego companies that specialize in healthcare, drug development, genomics, telecommunications, and other technologies learn effective strategies for using predictive analytics. “This is our first boot camp specifically designed for industry,” says Natasha Balac, a UC San Diego computer scientist, who was named in May as director of the supercomputer center’s new Predictive Analytics Center of Excellence (PACE).
PACE was formed as part of Balac’s broader mission to promote, educate, and innovate in predictive analytics. The next workshop is scheduled for Feb. 7-8, 2012. Read the Full Story.
Alex Buttery writes that Hadoop skills are in demand, but that Academia is behind the ball.
Hadoop is one of the up-and-coming technologies for performing analysis on big data, but to date very few universities have included it in their undergraduate or graduate curriculums. In a February 2012 article from InfoWorld, those already using the technology issued the warning that “Hadoop requires extensive training along with analytics expertise not seen in many IT shops today.” A ComputerWorld article singled out MIT and UC Berkeley as having already added Hadoop training and experience to their curriculums. Other educational institutions need to seek out practitioners in their area or poll alumni to determine if individuals that can impart their knowledge to college students are available and if so, prepare a curriculum to start training the next generation of IT employees and imbue them with the skills they will require to meet the challenges of the 21st century.
While Big Data is undoubtedly the hottest topic in business right now, how can enterprises start taking advantage of analyitics?
Next week Aryng (A-ring) is holding an a big data analytics training for business professionals in San Francisco. Designed around a a structured analytics framework, this unique course gives participants the recipe to make smarter decisions based on data.
This analytics course serves as a complete hands-on training for non-technical business professionals as well as seasoned analyst and business intelligence professional. The instructors at Aryng (www.Aryng.com) are senior analytics executives from Fortune 100 companies who have packaged the learning from their careers in this analytics class to deliver simple and easy to follow framework.
Registration is now open for the course, which takes place Feb 22-24 at the Grand Hyatt. Read the Full Story
This pep talk by IBM’s Stephen Gold, business line executive in charge of the company’s SPSS unit, is required back to school viewing for anyone who is considering a career in predictive analytics. He discusses the value of having skills in predictive analytics and the increased demand for such skills by employers around the globe. It may keep students from double-majoring in Medieval Literature and Cross-Cultural Dance and then living in their parent’s basement.
In this video, Akmal Chaudhri from Big Data University provides and overview of Hadoop & BigData.
BigData University and DB2 University are affiliates sites run by new and experienced Hadoop, Big Data and DB2 users who want to learn, contribute with course materials, or look for job opportunities. The sites include free and fee-based courses delivered by experienced professionals and teachers. BigData University and DB2 University are hosted on the Cloud, and are run by a group of enthusiasts from around the world.
Big Data University recently enrolled its 6000th student. Read the Full Story.
To effectively write Big Data applications, we need an Application Platform that would put together the different patterns and tools that are used by pioneers in that space such as Google, Yahoo, and Facebook in one framework and make them simple enough so that any organization could make use of them without the need to go through huge investment.