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Introduction to Machine Learning By Yves Kodratoff
This guide has developed from a set of postgraduate lectures delivered on the College of Paris-Sud through the years 1983-1988. All of the members of my analysis group on the ‘Laboratoire de Recherche en Informatique’ helped me through the preparation of this textual content. With out a number of European grants, and notably the ESPRIT programme, I might by no means have had the potential of creating such a bunch. In my group, I notably thank Norbert Benamou, Jean-Jacques Cannât, Marta Franova, Jean-Gabriel Ganascia, Nicholas Graner, Michel Manago, Jean-Francois Puget, Jose Siquiera and Christel Vrain. Outdoors my group, Toni Bollinger, Christian de Sainte Marie and Gheorghe Tecuci had been additionally very useful. Particular thanks are due to Ryszard Michalski who re-read Chapter 8 which considerations his personal contribution to inductive machine studying. Particular thanks are additionally due to my spouse Marta. Apart from the consolation she supplies me as a spouse, she can be a first-rate researcher and helps me so much in my scientific work as well as to doing her personal. She solely re-read this English model and located many errors that had been left within the unique French model. This English version has been produced by Stephen Thorp who learn and understood most of it whereas translating it. He identified lots of my ambiguous French methods of talking so this version could also be simpler to perceive than the French one.
Introduction to Machine Learning PDF
Author(s): Yves Kodratoff (Auth.)
Publisher: Elsevier Inc, Year: 1989
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