Author: Svastham Healthcare
Publisher: Svastham Healthcare
ISBN:
Category : Medical
Languages : en
Pages : 1172
Book Description
CHO - Model Question Paper 2023 (Part 8)
Author: Svastham Healthcare
Publisher: Svastham Healthcare
ISBN:
Category : Medical
Languages : en
Pages : 1172
Book Description
Publisher: Svastham Healthcare
ISBN:
Category : Medical
Languages : en
Pages : 1172
Book Description
CHO - Model Question Paper 2023 (Part 10)
Author: Svastham Healthcare
Publisher: Svastham Healthcare
ISBN:
Category : Medical
Languages : en
Pages : 2140
Book Description
Publisher: Svastham Healthcare
ISBN:
Category : Medical
Languages : en
Pages : 2140
Book Description
CHO - Model Question Paper 2023 (Part 9)
Author: Svastham Healthcare
Publisher: Svastham Healthcare
ISBN:
Category : Medical
Languages : en
Pages : 1960
Book Description
Publisher: Svastham Healthcare
ISBN:
Category : Medical
Languages : en
Pages : 1960
Book Description
CHO - Model Question Paper 2023 (Part 6)
Author: Svastham Healthcare
Publisher: Svastham Healthcare
ISBN:
Category : Medical
Languages : en
Pages : 335
Book Description
Publisher: Svastham Healthcare
ISBN:
Category : Medical
Languages : en
Pages : 335
Book Description
CHO - Model Question Paper 2023 (Part 7)
Author: Svastham Healthcare
Publisher: Svastham Healthcare
ISBN:
Category : Medical
Languages : en
Pages : 551
Book Description
Publisher: Svastham Healthcare
ISBN:
Category : Medical
Languages : en
Pages : 551
Book Description
CHO - Model Question Paper 2023 (Part 5)
Author: Svastham Healthcare
Publisher: Svastham Healthcare
ISBN:
Category : Medical
Languages : en
Pages : 226
Book Description
Publisher: Svastham Healthcare
ISBN:
Category : Medical
Languages : en
Pages : 226
Book Description
CHO - Model Question Paper (Part 8) - 2024
Author: Svastham Healthcare
Publisher: Svastham 24/7
ISBN:
Category : Medical
Languages : en
Pages : 553
Book Description
Publisher: Svastham 24/7
ISBN:
Category : Medical
Languages : en
Pages : 553
Book Description
Standard Methods for the Examination of Water and Wastewater
Author: American Public Health Association
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 1254
Book Description
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 1254
Book Description
Mathematics for Machine Learning
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
Book Description
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
Book Description
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Taxpayer Advocate Service is Here to Help
Author: United States. Taxpayer Advocate Service
Publisher:
ISBN:
Category : Administrative remedies
Languages : en
Pages : 24
Book Description
Publisher:
ISBN:
Category : Administrative remedies
Languages : en
Pages : 24
Book Description