Machine learning : a probabilistic perspective / Murphy, Kevin P., 1970-

Machine learning for financial engineering / Gyorfi, László.

Introduction to machine learning with Python : a guide for data scientists / Müller, Andreas C

Foundations of programming, statistics & machine learning for business analytics / Gopal, Ram

Unified approach to combinatorial optimization, Monte-Carlo simulation, and machine learning

Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and

Data mining : practical machine learning tools and techniques / Witten, I. H. (Ian H.)

Uncertainty analysis in rainfall-runoff modelling : application of machine learning techniques /

Data mining : practical machine learning tools and techniques / Witten, I. H. (Ian H.)

Adaptive computation and machine learning

Unlike practical machine learning guides, this book examines how AI and AI-based technologies are

networks and deep learning, the basis of many recent and startling advances in machine learning and

/ Workplace learning / Action learning research and practice: an informed outlook / Team learning and

, Machine Learning and Artificial Intelligence. Including new international case studies and up

-- The future of brand storytelling: how AI, machine learning and automation can tell only one side of

Teaching machines : the history of personalized learning / Watters, Audrey, author.

.Kinds of Patterns -- 14.1.2.Frameworks -- 14.1.3.Describing a Pattern -- 14.1.4.Machine Learning and

looks ahead, predicting how AI, machine learning, and virtual reality will likely come to dominate court

-- Learning outcomes -- Case study: Johnson & Johnson's stakeholder approach -- Introduction: Every business

Apache Spark deep learning cookbook : over 80 recipes that streamline deep learning in a

Machine generated contents note: 1.Introduction to Communication Theory -- Learning Objectives

-- Opportunities for Extended Learning -- 2.The History of Race -- History of Racial Classification -- Economic and

-- Learning Aids And Support Tools -- Using Online Help -- Other Learning Resources -- Software Versions And

Learning, teaching & development : strategies for action / Ashmore, Lyn, editor.

implementation is about creating both alignment and commitment -- Key learning points -- Notes -- pt. II Strategy

-- Student Study Site -- SECTION 2 TYPES OF MARKETING RESEARCH -- 3.Secondary Data and Research -- Learning

-- Exercise 1.1: Enacting the action research cycles -- 2.Knowing in Action -- Knowing and learning -- General

The second machine age : work, progress, and prosperity in a time of brilliant technologies /

knowledge -- Influence of beliefs on learning and teaching -- Pedagogical subject knowledge -- Learning for

) Thinking -- Marketing Thinking Challenge 1.3: Creative Thinking -- Learning to Think in a Marketing Way

? -- Relationship to current issues -- Learning to write and read -- Beginning handwriting -- Beginning reading

Always learning

conferencing and peer feedback / Kevin Garrison -- 8.Learning through YouTube / Patrick J. Dillon -- 9.Wiki

principal subspaces, machine learning methods. The book includes theoretical framework to define side

-- Methodological Diversity and Informed Choice -- No Mysteries! -- Learning by Doing It: Qualitative Research as a

.Corporate communication as an academic discipline / Rossella Gambetti -- Learning objectives -- Introduction

Using network and mobile technology to bridge formal and informal learning / Trentin, Guglielmo.

Machine generated contents note: 1.Visualizing and presenting data -- Overview -- Learning

-off Analysis -- 17.Risk Management -- 18.Learning Curves -- 19.Contract Management -- 20.Quality Management

-- 3.Becoming a Writer in New York -- 4.Cupid and the Candy-Store House -- 5.Reporting and Learning at

Professional learning communities -- United States.

? -- Key learning outcomes -- Overview -- Definitions of health -- Theoretical perspectives -- The medical

-- Writing C++ Applications -- Learning Desktop Applications Programming -- Learning C++ -- Console

Machine generated contents note: ch. 1 Corporate Governance -- Learning Outcomes -- 1.Introduction

knowledge worker -- 1.2.Insights leader - learning on the job versus learning in school -- 1.3.Being the

Measuring ROI in learning & development : case studies from global organizations / PHILLIPS

Here': Culture Shock and Adjustment / Peter Petocz -- 6.Learning and Teaching across Cultures / Illysa

exercise -- References -- Appendices -- 5.Learning new skills -- Introduction -- Context -- Key principles

questions of today, including: China has built an authoritarian growth machine. Will it continue to grow at

Machine learning -- Textbooks.

Machine generated contents note: -- How to use the book -- PART I: STUDYING LITERATURE -- Studying

The future of learning : insights and innovations from executive development / Voller, Shirine.

Learning" to America / Robert Maynard Hutchins -- 7.The Business of America / Alfred P. Sloan, Jr. -- 8.The

brain: a user manual -- Learning and developing habits -- Coming to your senses: representational

.Institutional change, the learning process and the heritage of planning -- 1.9.Final comments -- Appendix A1

Learning disabled children -- Education (Middle school)

E-learning by design / Horton, William K. (William Kendall)

Machine generated contents note: Pt. I The Bases for Assessment -- 1.Classroom Decision Making and

. Martin -- 26.`Deliberate Learning and the Evolution of Dynamic Capabilities', Organization Science, 13 (3

. Spear -- 27.`Learning in a Computable Setting. Applications of Gold's Inductive Inference Model', in

management; 8. Services outsourcing and the spin-off arrangement; 9. Learning from failure and strategies for

Machine generated contents note: Preface; Part I. Foundations of Decision Modeling: 1. Introduction

. Learning by doing in infrastructure and financial services; 7. Competing in hard and soft services; 8

modernity: rethinking Germany's link to 'the West' (westbindung), 1978-87; 5. Learning from the Bonn

Learning Theory and Behavioral Medicine -- I. Overview -- II. Habituation and sensitization -- III

Supervised learning (Machine learning)

Machine derived contents note: Table of Contents -- Chapter 1 -- What is REPAIR? 1 -- Chapter 2

Service learning.

an artificial immune system / Development of machine learning software for high frequency trading in

Machine learning.

library -- 22: Trick clicks -- 23: Attacking Microsoft -- 24: Money machine -- 25: The China syndrome

advanced evolutionary algorithms with state-of-the-art machine learning techniques. The book focuses on two

online writing -- The writing machine -- Four challenges -- Appendix B. Manage your global writing : the

of Violence 15 -- Chapter 1 -- Toward a Social Learning Model of Violence and Terrorism 19 -- Ronald

Search -- Representation and Intelligence: The AI Challenge -- Machine Learning -- Advanced Topics for AI