Heuristics in Analytics presents an approach to analysis that accounts for the randomness of business and the competitive marketplace, creating a model that more accurately reflects the scenario at hand. With an emphasis on the importance of proper analytical...

Technological advances are enabling scientists to collect vast amounts of data in fields such as medicine, remote sensing, astronomy, and high-energy physics. These data arise not only from experiments and observations, but also from computer simulations of complex phenomena. They are often complex, with both spatial and temporal components. As...

Acetylene is a colorless, combustible gas with a distinctive odor. When acetylene is liquefied, compressed, heated, or mixed with air, it becomes highly explosive. As a result special precautions are required dur ing its production and handling. The most common use of acetylene is as a raw materi al for the production of various organic...

Supervised sequence labelling is a vital area of machine learning, encompassing tasks such as speech, handwriting and gesture recognition, protein secondary structure prediction and part-of-speech tagging. Recurrent neural networks are powerful sequence learning tools—robust to input noise and distortion, able to exploit long-range...

This book breaks new ground by doing something for digital photographers that’s never been done before—it cuts through the bull and shows you exactly “how to do it.” It’s not a bunch of theory; it doesn’t challenge you to come up with your own settings or figure things out on your own. Instead, it does...

Excited about that new digital SLR and eager to find inventive ways to put all its features to work? This book will help! It shows you (in rich, full color) exactly what you and your...