عنوان

An introduction to machine learning /

شابک

3030157288

شابک

3030157296

شابک

303015730X

شابک

3030157318

شابک

9783030157289

شابک

9783030157296

شابک

9783030157302

شابک

9783030157319

شابک اشتباه

9783030157289

عنوان اصلي

An introduction to machine learning /

نام عام مواد

[Book]

نام نخستين پديدآور

Gopinath Rebala, Ajay Ravi and Sanjay Churiwala.

محل نشرو پخش و غیره

Cham :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

[2019]

تاریخ نشرو بخش و غیره

©2019

نام خاص و کميت اثر

1 online resource

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

Intro; Preface; Reading the Book; Acknowledgments; Contents; List of Figures; List of Tables; Chapter 1: Machine Learning Definition and Basics; 1.1 Introduction; 1.1.1 Resurgence of ML; 1.1.2 Relation with Artificial Intelligence (AI); 1.1.3 Machine Learning Problems; 1.2 Matrices; 1.2.1 Vector and Tensors; 1.2.2 Matrix Addition (or Subtraction); 1.2.3 Matrix Transpose; 1.2.4 Matrix Multiplication; 1.2.4.1 Multiplying with a Scalar; 1.2.4.2 Multiplying with Another Matrix; 1.2.4.3 Multiplying with a Vector; 1.2.5 Identity Matrix; 1.2.6 Matrix Inversion; 1.2.7 Solving Equations Using Matrices

متن يادداشت

1.3 Numerical Methods1.4 Probability and Statistics; 1.4.1 Sampling the Distribution; 1.4.2 Random Variables; 1.4.3 Expectation; 1.4.4 Conditional Probability and Distribution; 1.4.5 Maximum Likelihood; 1.5 Linear Algebra; 1.6 Differential Calculus; 1.6.1 Functions; 1.6.2 Slope; 1.7 Computer Architecture; 1.8 Next Steps; Chapter 2: Learning Models; 2.1 Supervised Learning; 2.1.1 Classification Problem; 2.1.2 Regression Problem; 2.2 Unsupervised Learning; 2.3 Semi-supervised Learning; 2.4 Reinforcement Learning; Chapter 3: Regressions; 3.1 Introduction; 3.2 The Model; 3.3 Problem Formulation

متن يادداشت

3.4 Linear Regression3.4.1 Normal Method; 3.4.2 Gradient Descent Method; 3.4.2.1 Determine the Slope at Any Given Point; 3.4.2.2 Initial Value; 3.4.2.3 Correction; 3.4.2.4 Learning Rate; 3.4.2.5 Convergence; 3.4.2.6 Alternate Method for Computing Slope; 3.4.2.7 Putting Gradient Descent in Practice; 3.4.3 Normal Equation Method vs Gradient Descent Method; 3.5 Logistic Regression; 3.5.1 Sigmoid Function; 3.5.2 Cost Function; 3.5.3 Gradient Descent; 3.6 Next Steps; 3.7 Key Takeaways; Chapter 4: Improving Further; 4.1 Nonlinear Contribution; 4.2 Feature Scaling

متن يادداشت

4.5.2.1 Basic Approach for SoftMax4.5.2.2 Loss Function; 4.6 Key Takeaways and Next Steps; Chapter 5: Classification; 5.1 Decision Boundary; 5.1.1 Nonlinear Decision Boundary; 5.2 Skewed Class; 5.2.1 Optimizing Precision vs Recall; 5.2.2 Single Metric; 5.3 Naïve Bayes ́Algorithm; 5.4 Support Vector Machines; 5.4.1 Kernel Selection; Chapter 6: Clustering; 6.1 K-Means; 6.1.1 Basic Algorithm; 6.1.2 Distance Calculation; 6.1.3 Algorithm Pseudo Code; 6.1.4 Cost Function; 6.1.5 Choice of Initial Random Centers; 6.1.6 Number of Clusters; 6.2 K-Nearest Neighbor (KNN); 6.2.1 Weight Consideration

بدون عنوان

0

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

متن يادداشت

Just like electricity, Machine Learning will revolutionize our life in many ways - some of which are not even conceivable today. This book provides a thorough conceptual understanding of Machine Learning techniques and algorithms. Many of the mathematical concepts are explained in an intuitive manner. The book starts with an overview of machine learning and the underlying Mathematical and Statistical concepts before moving onto machine learning topics. It gradually builds up the depth, covering many of the present day machine learning algorithms, ending in Deep Learning and Reinforcement Learning algorithms. The book also covers some of the popular Machine Learning applications. The material in this book is agnostic to any specific programming language or hardware so that readers can try these concepts on whichever platforms they are already familiar with.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix.9783030157296

شماره استاندارد بين المللي کتاب و موسيقي

9783030157289

شماره استاندارد بين المللي کتاب و موسيقي

9783030157302

شماره استاندارد بين المللي کتاب و موسيقي

9783030157319

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

COMPUTERS-- General.

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

COM-- 000000

موضوع مستند نشده

TJFC

موضوع مستند نشده

TJFC

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Rebala, Gopinath

مستند نام اشخاص تاييد نشده

Churiwala, Sanjay

مستند نام اشخاص تاييد نشده

Ravi, Ajay

تاريخ عمليات

20200823084710.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y