Astronomical Algorithms - Jean Meeus (1991)

Astronomical Algorithms - Jean Meeus (1991)

Astronomical Algorithms - Jean Meeus (1991)
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Publications of the Lick Observatory of the University of California
Publications of the Lick Observatory of the University of California
Book digitized by Google from the library of the New York Public Library and uploaded to the Internet Archive by user tpb. volumes : 31 cm Title varies slightly Each volume has also a distinctive title
Producer to producer : a step-by-step guide to low-budget independent film producing
Producer to producer : a step-by-step guide to low-budget independent film producing
xxi, 395 p. : 26 cm Includes index Development -- Script breakdown -- Budgeting -- Funding -- Casting -- Preproduction -- Locations -- Legal -- Insurance -- Scheduling -- Wrap -- Postproduction -- Audio -- Music -- Ar...
Boosting: Foundations and Algorithms
Boosting: Foundations and Algorithms
An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones.Boosting is an approach to machine learni...
Tables to facilitate the reduction of places of the fixed stars
Tables to facilitate the reduction of places of the fixed stars
Book digitized by Google from the library of the University of Michigan and uploaded to the Internet Archive by user tpb. Prepared under the direction of Joseph Winlock, and published under the direction of J.H.C. Cof...
Modeling the impact of AI on the world economy
Modeling the impact of AI on the world economy
The world is in a deceptively quiet period in which some companies and countries are aggressively developing and applying early, rudimentary models of artificial intelligence, but the impact is not visible.
Learning from data : a short course
Learning from data : a short course
xii, 201 pages : 26 cm Includes bibliographical references (pages 183-186) and index 1. The learning problem -- 2. Training versus testing -- 3. The linear model -- 4. Overfitting -- 5. Three learning principles -- Ep...