Author: Barbara Wilson
Publisher:
ISBN: 9781567785074
Category :
Languages : en
Pages :
Book Description
Fundations Student Composition Book 2 Second Edition
Author: Barbara Wilson
Publisher:
ISBN: 9781567785074
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781567785074
Category :
Languages : en
Pages :
Book Description
Fundations Composition Book 2 (10-Pack) Second Edition
Author: Barbara Wilson
Publisher:
ISBN: 9781567784497
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781567784497
Category :
Languages : en
Pages :
Book Description
Fundations Student Notebook 2 Second Edition
Author: Barbara Wilson
Publisher:
ISBN: 9781567785180
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781567785180
Category :
Languages : en
Pages :
Book Description
Student Composition Book Level 2
Author: Barbara A. Wilson
Publisher:
ISBN: 9781567782370
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781567782370
Category :
Languages : en
Pages :
Book Description
Fundations Student Notebook 1 Second Edition
Author: Barbara Wilson
Publisher:
ISBN: 9781567785173
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781567785173
Category :
Languages : en
Pages :
Book Description
Fundations Teacher¿s Manual 1 Second Edition
Author: Barbara Wilson
Publisher:
ISBN: 9781567785210
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781567785210
Category :
Languages : en
Pages :
Book Description
Student Notebook Level 2
Author: Barbara A. Wilson
Publisher:
ISBN: 9781567782387
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781567782387
Category :
Languages : en
Pages :
Book Description
Fundations Teacher¿s Manual 2 Second Edition
Author: Barbara Wilson
Publisher:
ISBN: 9781567785227
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781567785227
Category :
Languages : en
Pages :
Book Description
Foundations of Data Science
Author: Avrim Blum
Publisher: Cambridge University Press
ISBN: 1108617360
Category : Computers
Languages : en
Pages : 433
Book Description
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
Publisher: Cambridge University Press
ISBN: 1108617360
Category : Computers
Languages : en
Pages : 433
Book Description
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
My Fundations Journal Second Edition
Author: Barbara A. Wilson
Publisher:
ISBN: 9781567785388
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781567785388
Category :
Languages : en
Pages :
Book Description