Computational Approach to Statistical Learning
by Taylor ArnoldA Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods.
The text contains annotated code to over 80 original ref.
- First published
- 2019
- Publishers
- Taylor & Francis Group
- Subjects
- Machine learning·Mathematical statistics·Estimation theory
Books
China and Poverty
Johnn Taylor
Out Loud
Taylor B. Barton
Stryker 7 Book 7 of the Civil War Chronicles
Arnold, Michael
Passenger Trains of the UK
Ross Taylor
Our railways have witnessed many different types of passenger train in the recent past.
Court Presentation of Evidence
Taylor, Jeff
Mosquitoland
David Arnold
Kids of Appetite
David Arnold
Java Programming Language
Ken Arnold
Targeted at intermediate-to-advanced developers, this is the definitive tutorial introduction and reference to the java se7 language and its essential libraries.
Hunter's Rage
Arnold, Michael
Posted to the hostile territory of dartmoor, captain innocent stryker and his men are attacked by an elite cavalry unit commanded by the formidable colonel gabriel wild and suffer heavy losses.
Hysterical Rhymes and How You Can Rhyme Too!
Derek Taylor Kent
Ghost Scouts
Taylor Dolan
Winning Ingredient
Kelly Swan Taylor
Noodleheads Do the Impossible
Tedd Arnold
Environment and the Arts
Arnold Berleant
Understanding Roman Law and Society
Tristan Taylor
Hiking Waterfalls Maryland
Danielle Taylor
Quantum Mechanics Via Lie Algebras
Arnold Neumaier
The de gruyter studies in mathematical physics are devoted to the publication of monographs and high-level texts in mathematical physics.
From Tragedy to Triumph
Rashawna Taylor
Legacy of Winter
Lulu Taylor
Rethinking the Pompeian House
M. Taylor Lauritsen
I Have a Question
Andrew Arnold
Hate Crime Policy and Disability
Seamus Taylor
Sacred Landscapes and Cultural Politics
Philip P. Arnold
Sacred Landscapes and Cultural Politics
Philip P. Arnold
Leaning Toward Light
Tess Taylor
Environment and the Arts
Arnold Berleant
Poems for Life
Taylor Randolph
Monster! Thirsty! Drink!
Sean Taylor
Introduction to Terahertz Imaging
Zachary Taylor
Molecular Symmetry and Computational Quantum Chemistry
Peter R. Taylor
Cold, Hard Steel
Agnes Arnold-Forster
Sacred Landscapes and Cultural Politics
Philip P. Arnold
Feminism in Coalition
Liza Taylor
Cold, Hard Steel
Agnes Arnold-Forster
You Got This!
Andrew Taylor
Save the... Blue Whales
Christine Taylor-Butler
Love You Save
Goldie Taylor
Drowning Sea
Sarah Stewart Taylor
Art and the Working Class
Taylor R. Genovese
Gulliver of Mars Illustrated
Edwin Arnold
Tales from the Gallery
Scott Arnold Arminas
Modern Travel in World History
Tom Taylor
Al Sprague
Kassie Sprague Taylor
Riceyman Steps Illustrated
Arnold Bennett
Filthy Animals
Brandon Taylor
Foundations of Information Literacy
Natalie Greene Taylor
Tea for One
Alice Taylor
Emerging FinTech
Paul Taylor
End of Days
Brad Taylor
Ace the Product Manager Interview
Liam Taylor
Gulliver of Mars Illustrated
Edwin Arnold
Colton Countdown
Tara Taylor Quinn
Music, Subjectivity, and Schumann
Benedict Taylor
Fiddlers Creek
Taylor, Steve
Ceramics Bible Revised Edition
Louisa Taylor
Mi Primera Biblia en Cuadros
Kenneth N. Taylor
Vital Landscape
Taylor, William M.
About Time
Jodi Taylor
'an utterly dazzling book, the best piece of history i have read for a long time' jerry brotton, author of a history of the world in twelve maps 'not merely an horologist's delight, but an ingenious meditation on the nature and symbolism of time-keeping itself' richard holmes the measurement of time has always been essential to human civilization, from early roman sundials to the advent of gps.
Tracking His Secret Child
Tara Taylor Quinn
Modern Sales Leadership
Rob Taylor
Similar books
Grokking Machine Learning
Luis Serrano
It's time to dispel the myth that machine learning is difficult.
Machine Learning and Analytics in Healthcare Systems
Himani Bansal
Mechanisms and Machines
Michael M. Stanisic
Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning
Geeta Rani
By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients.
Machine Learning and Its Applications
Peter Wlodarczak
In recent years, machine learning has gained a lot of interest.
Innovation and Automation
P. M. Satchell
First published in 1998, this book links the forces of innovation and automation positively by shifting the focus on human-machine interactions from the current, technology-centred approach, to one where sharing is evolved and creativity is no longer supp.
Unmanning
Katherine Chandler
Unmanning studies the conditions that create unmanned platforms in the united states through a genealogy of experimental, pilotless planes flown between 1936 and 1992.
Walk, Jog, Run-A Free-Motion Quilting Workout
Dara Tomasson
Mastering Machine Learning Algorithms
Giuseppe Bonaccorso
Feature Engineering for Machine Learning and Data Analytics
Guozhu Dong
Feature engineering plays a vital role in big data analytics.
Fighting Churn with Data
Carl Gold
Machine Learning for Data Mining
Jesus Salcedo
Workload Measures
Valerie Jane Gawron
This book was developed to help researchers and practitioners select measures to be used in the evaluation of human/machine systems.
Machine Learning for Signal Processing
Max A. Little
Hands-On Machine Learning with R
Brad Boehmke
"this book is designed to introduce the concept of advanced business analytic approaches and would the first to cover the gamut of how to use the r programming language to apply descriptive, predictive, and prescriptive analytic methodologies for problem .
Applied Genetic Programming and Machine Learning
Hitoshi Iba
What do financial data prediction, day-trading rule development, and bio-marker selection have in common?
Hands-On Machine Learning with IBM Watson
James D. Miller
Python Machine Learning
Wei-Meng Lee
Python makes machine learning easy for beginners and experienced developerswith computing power increasing exponentially and costs decreasing at the same time, there is no better time to learn machine learning using python.
Introduction to Algorithms for Data Mining and Machine Learning
Xin-She Yang
Introduction to algorithms for data mining and machine learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques.
Computational Approach to Statistical Learning
Taylor Arnold
A computational approach to statistical learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods.
Machine Learning with R
Brett Lantz
Written as a tutorial to explore and understand the power of r for machine learning.
Deep Learning for Natural Language Processing
Karthiek Reddy Bokka
How Smart Machines Think
Sean Gerrish
Everything you've always wanted to know about self-driving cars, netflix recommendations, ibm's watson, and video game-playing computer programs.
Machine Learning and Its Applications
Peter Wlodarczak
In recent years, machine learning has gained a lot of interest.
Human Performance in Automated and Autonomous Systems
Mustapha Mouloua
Human Performance in Automated and Autonomous Systems
Mustapha Mouloua
Doodle Quilting Mania
Cheryl Malkowski
Text Mining with Machine Learning
Arnost Svoboda
Machine Design
Robert L. Norton
Excerpt from machine design the word stress will be used to denote the resistance of material to distortion per unit of sectional area.
Hands-On Machine Learning with R
Brad Boehmke
"this book is designed to introduce the concept of advanced business analytic approaches and would the first to cover the gamut of how to use the r programming language to apply descriptive, predictive, and prescriptive analytic methodologies for problem .
Machine Elements
Boris M. Klebanov
Organic Free-Motion Quilting Idea Book
Amanda Murphy
Designing Robot Behavior in Human-Robot Interactions
Changliu Liu
In this book, we have set up a unified analytical framework for various human-robot systems, which involve peer-peer interactions (either space-sharing or time-sharing) or hierarchical interactions.
Next-Generation Wireless Networks Meet Advanced Machine Learning Applications
Ioan-Sorin Com?a
The ever-evolving wireless technology industry is demanding new technologies and standards to ensure a higher quality of experience for global end-users.
Data Science
John D. Kelleher
A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.
Introduction to Mechanism Design
Eric Constans
introduction to mechanism design: with computer applications provides an updated approach to undergraduate mechanism design and kinematics courses/modules for engineering students.
Driver Distraction
Katie J. Parnell
Digital Interfacing
Daniel Black
The perfectionists
Simon Winchester
The revered new york times bestselling author traces the development of technology from the industrial age to the digital age to explore the single component crucial to advancement—precision—in a superb history that is both an homage and a warning .
Intelligent Adaptive Systems
Ming Hou
Deep Learning Revolution
Terrence J. Sejnowski
Automation and Human Performance
Raja Parasuraman
There is perhaps no facet of modern society where the influence of computer automation has not been felt.
A beginner's guide to overlockers, sergers & coverlockers
Clémentine Lubin
Industrial Applications of Machine Learning
Pedro Larrañaga
industrial applications of machine learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower readers to bui.
Mathematics of Generalization
David H. Wolpert
Mechanical Design of Machine Components
Ansel C. Ugural
analyze and solve real-world machine design problems using si units mechanical design of machine components, second edition: si version strikes a balance between method and theory, and fills a void.
Designing with the Body
Kristina Hook
How Smart Machines Think
Sean Gerrish
Everything you've always wanted to know about self-driving cars, netflix recommendations, ibm's watson, and video game-playing computer programs.
Industrial Applications of Machine Learning
Pedro Larrañaga
industrial applications of machine learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower readers to bui.
Go Machine Learning Projects
Xuanyi Chew
Optimized Genetic Programming Applications
Bahrudin Hrnjica
Intuitive Interaction
Alethea Blackler
FN MAG Machine Gun
Chris McNab
Intelligent Adaptive Systems
Ming Hou