Unleash The Power Of Big Data Analytics And Machine Learning - CodeProject

Click here to register and download your free 30-day trial of Intel Parallel Studio XE. We live in a world where humans rely more and more on computers to solve a variety of engineering problems―ranging from weather prediction to the discovery of lifesaving drugs. We are on the verge of another dramatic change where machines are capable of reaching and even exceeding humans in their ability to make decisions and solve complex problems. Computers have already beaten the best human players in Jeopardy* and Go*, and autonomous cars drive on the roads of California. This is all possible due to petaflop levels of compute power (thanks to Moore's Law) and the vast amounts of data available for training machine learning algorithms. At Intel, we work in close collaboration with our leading academic and industry fellow travelers to solve the hardware and software architectural challenges for Intel's upcoming multicore/manycore compute platforms. To help innovators tackle the complexities of machine learning, we are making performance optimizations available to developers through familiar Intel software tools, specifically through the Intel Data Analytics Acceleration Library (Intel DAAL) and enhancements to the Intel Math Kernel Library (Intel MKL).