Author:
Publisher:
ISBN: 9783125297142
Category :
Languages : de
Pages :
Book Description
Défi 4 (B2). Livre de l'élève + CD + Premium
Author:
Publisher:
ISBN: 9783125297142
Category :
Languages : de
Pages :
Book Description
Publisher:
ISBN: 9783125297142
Category :
Languages : de
Pages :
Book Description
Défi 4, B2, méthode de français
Author: Pascal Biras
Publisher:
ISBN: 9788418032363
Category :
Languages : fr
Pages : 191
Book Description
Publisher:
ISBN: 9788418032363
Category :
Languages : fr
Pages : 191
Book Description
Défi 4
Author: Pascal Biras
Publisher:
ISBN: 9788419236579
Category :
Languages : fr
Pages : 0
Book Description
Publisher:
ISBN: 9788419236579
Category :
Languages : fr
Pages : 0
Book Description
Défi 4 (B2) Édition hybride
Author:
Publisher:
ISBN: 9783125302938
Category :
Languages : de
Pages : 0
Book Description
Publisher:
ISBN: 9783125302938
Category :
Languages : de
Pages : 0
Book Description
Défi 4 (B2). Cahier d'exercices + MP3 téléchargeables
Author:
Publisher:
ISBN: 9783125297135
Category :
Languages : de
Pages :
Book Description
Publisher:
ISBN: 9783125297135
Category :
Languages : de
Pages :
Book Description
Défi 2 (A2). Livre de l'élève + CD
Author:
Publisher:
ISBN: 9783125296961
Category :
Languages : de
Pages :
Book Description
Publisher:
ISBN: 9783125296961
Category :
Languages : de
Pages :
Book Description
A Book on C
Author: Al Kelley
Publisher: Benjamin-Cummings Publishing Company
ISBN: 9780805300604
Category : Computers
Languages : en
Pages : 548
Book Description
The authors provide clear examples and thorough explanations of every feature in the C language. They teach C vis-a-vis the UNIX operating system. A reference and tutorial to the C programming language. Annotation copyrighted by Book News, Inc., Portland, OR
Publisher: Benjamin-Cummings Publishing Company
ISBN: 9780805300604
Category : Computers
Languages : en
Pages : 548
Book Description
The authors provide clear examples and thorough explanations of every feature in the C language. They teach C vis-a-vis the UNIX operating system. A reference and tutorial to the C programming language. Annotation copyrighted by Book News, Inc., Portland, OR
Understanding Machine Learning
Author: Shai Shalev-Shwartz
Publisher: Cambridge University Press
ISBN: 1107057132
Category : Computers
Languages : en
Pages : 415
Book Description
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
Publisher: Cambridge University Press
ISBN: 1107057132
Category : Computers
Languages : en
Pages : 415
Book Description
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
Nonlinear Dynamics and Chaos
Author: Steven H. Strogatz
Publisher: CRC Press
ISBN: 0429961111
Category : Mathematics
Languages : en
Pages : 532
Book Description
This textbook is aimed at newcomers to nonlinear dynamics and chaos, especially students taking a first course in the subject. The presentation stresses analytical methods, concrete examples, and geometric intuition. The theory is developed systematically, starting with first-order differential equations and their bifurcations, followed by phase plane analysis, limit cycles and their bifurcations, and culminating with the Lorenz equations, chaos, iterated maps, period doubling, renormalization, fractals, and strange attractors.
Publisher: CRC Press
ISBN: 0429961111
Category : Mathematics
Languages : en
Pages : 532
Book Description
This textbook is aimed at newcomers to nonlinear dynamics and chaos, especially students taking a first course in the subject. The presentation stresses analytical methods, concrete examples, and geometric intuition. The theory is developed systematically, starting with first-order differential equations and their bifurcations, followed by phase plane analysis, limit cycles and their bifurcations, and culminating with the Lorenz equations, chaos, iterated maps, period doubling, renormalization, fractals, and strange attractors.
Probability and Statistics
Author: Michael J. Evans
Publisher: Macmillan
ISBN: 9780716747420
Category : Mathematics
Languages : en
Pages : 704
Book Description
Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor based on incorporating the computer to the course and an integrated approach to inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout.* Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. They'll get a thorough grounding in probability theory, and go beyond that to the theory of statistical inference and its applications. An integrated approach to inference is presented that includes the frequency approach as well as Bayesian methodology. Bayesian inference is developed as a logical extension of likelihood methods. A separate chapter is devoted to the important topic of model checking and this is applied in the context of the standard applied statistical techniques. Examples of data analyses using real-world data are presented throughout the text. A final chapter introduces a number of the most important stochastic process models using elementary methods. *Note: An appendix in the book contains Minitab code for more involved computations. The code can be used by students as templates for their own calculations. If a software package like Minitab is used with the course then no programming is required by the students.
Publisher: Macmillan
ISBN: 9780716747420
Category : Mathematics
Languages : en
Pages : 704
Book Description
Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor based on incorporating the computer to the course and an integrated approach to inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout.* Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. They'll get a thorough grounding in probability theory, and go beyond that to the theory of statistical inference and its applications. An integrated approach to inference is presented that includes the frequency approach as well as Bayesian methodology. Bayesian inference is developed as a logical extension of likelihood methods. A separate chapter is devoted to the important topic of model checking and this is applied in the context of the standard applied statistical techniques. Examples of data analyses using real-world data are presented throughout the text. A final chapter introduces a number of the most important stochastic process models using elementary methods. *Note: An appendix in the book contains Minitab code for more involved computations. The code can be used by students as templates for their own calculations. If a software package like Minitab is used with the course then no programming is required by the students.