Verve 60th Anniversary Rare Albums SHM-CD Reissue Series. Reissue with SHM-CD format. Phil Woods' recordings with his short-lived European Rhythm Machine are among the most adventurous of his career, though few of them have been available in the CD era. This 1969 concert at the Montreux Jazz Festival features the alto saxophonist with pianist George Gruntz, bassist Henri Texier and drummer Daniel Humair in a wide ranging set.
This introductory computer science course in machine learning will cover basic theory, algorithms, and applications. Machine learning is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to automatically learn how to perform a desired task based on information extracted from the data. Machine learning has become one of the hottest fields of study today and the demand for jobs is only expected to increase. Gaining skills in this field will get you one step closer to becoming a data scientist or quantitative analyst.
Once you've accumulated a pile of data through your web application, what do you do with it? In this insightful video course, bit.ly lead scientist Hilary Mason shows you how to solve data analysis problems using basic machine learning techniques and frameworks. You'll follow several examples through the entire process—from obtaining, cleaning, and exploring data to building a model and interpreting the results.
Classy West coast AOR. Lush keys and fantastic guitars highlight this awesomely played album where the combination of producer/songwriter Clif Magness, guitar player Jay Graydon and keyboardis/producer Glen Ballard brings us a wonderful collection of songs. All songs are written by the creative songwriters – two time Grammy winner and 12 times nominated Los Angeles top songwriter, recording artist, guitarist, producer, arranger, engineer, and more – Jay Graydon, and his band partners Clif Magness and Glen Ballard.
100 videos that teach you how to perform various machine learning tasks in the real world.