Search:

Results 11 to 20 of 1,606 | « previous |

Becoming a data head : how to think, speak, and understand data science, statistics, and machine learning / by Gutman, Alex J.,author.; Goldmeier, Jordan,author.;
PART ONE: Thinking like a data head. What is the problem? ; What is data? ; Prepare to think statistically -- PART TWO: Speaking like a data head: Argue with the data ; Explore the data ; Examine the probabilities ; Challange the statistics -- PART THREE: Understanding the data scientist's toolbox. Search for hidden groups ; Understand the regression model ; Understand the classification model ; Understand the text analytics ; Conceptualize deep learning -- PART FOUR: Ensuring success. Watch out for pitfalls ; Know the people and personalities ; What's next?Includes bibliographical references and index.
Subjects: Handbooks and manuals.; Data mining.; Machine learning.;
Available copies: 1 / Total copies: 1
unAPI

The art of machine learning : a hands-on guide to machine learning with R / by Matloff, Norman S.,author.(CARDINAL)887934;
Includes bibliographical references and index."Teaches a range of machine learning methods, from simple to complex. Includes dozens of illustrative examples using the R programming language and real datasets. Covers not only how to use machine learning methods but also why these methods work and advice on how to avoid common pitfalls"--
Subjects: Machine learning.; R (Computer program language);
Available copies: 0 / Total copies: 1
unAPI

Why machines learn : the elegant math behind modern AI / by Ananthaswamy, Anil,author.(CARDINAL)389919;
Includes bibliographical references (pages [435]-453) and index.Desperately seeking patterns -- We are all just numbers here... -- The bottom of the bowl -- In all probability -- Birds of a feather -- There's magic in them matrices -- The great kernel rope trick -- With a little help from physics -- The man who set back deep learning (not really) -- The algorithm that put paid to a persistent myth -- The eyes of a machine -- Terra incognita."A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence"--
Subjects: Machine learning.; Deep learning (Machine learning); Artificial intelligence.; Mathematics.;
Available copies: 2 / Total copies: 2
unAPI

Learn to machine bind your quilts [videorecording] / by Scott, Nancy(Quiltmaker); Annie's (Firm);
In this video class, you'll learn how to: Prepare single-fold and double fold binding strips. -- Press a single-fold binding to the front and back of the quilt at the same time. -- Sew a double-fold binding onto the back, then topstitch the front. -- Sew a double-fold binding to the front by stitching in the ditch while catching the binding on the back at the same time. -- Sew mitered corners. -- Quilt an attractive runner with tonal batiks. Skill level: Beginner.Closed captioning in English. DVD, region 1, widescreen presentation, sound.
Subjects: Films for the hearing impaired.; Instructional films.; Quilting.; Quilting; Quilting;
Available copies: 1 / Total copies: 1
unAPI

Artificial Intelligence in short / by Barrett, Ryan Richardson.;
"Artificial Intelligence in Short" is a poignant book about the fundamental concepts of AI and machine learning. Written clearly and accompanied by numerous practical examples, this book enables any capable reader to understand concepts such as how computer vision and large language models are created and used while remaining free of mathematical formulas or other highly technical details. the tonality used in this book is unassuming and full of levity. The book maintains an even pace that assists in conceptualizing the complex ideas of machine learning effectively while maintaining a clear but generalized focus in the narrative. Chapters develop through concrete concepts of computer science, mathematics, and machine learning before moving to more nuanced ideas in the realm of cybernetics and legislature. Artificial Intelligence in Short discusses the most up-to-date research in AI and computer science but also elaborates on how machines have come to learn and the historical origins of AI. The concepts of AI are outlined in relation to everyday life--just as AI has become a tool integrated into devices used daily by many people." --Back Cover.
Subjects: Artificial intelligence.; Machine learning.;
Available copies: 0 / Total copies: 3
unAPI

Artificial intelligence : a guide for thinking humans / by Mitchell, Melanie(Computer scientist),author.(CARDINAL)814907;
Includes bibliographical references (pages 281-302) and index.Background -- Looking and seeing -- Learning to play -- Artificial intelligence meets natural language -- The barrier of meaning.No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI's turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent--really--are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize-winning author of the modern classic Gödel, Escher, Bach, who explains why he is "terrified" about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go.Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell's humor and personal observations. This frank, lively book is an indispensable guide to understanding today's AI, its quest for "human-level" intelligence, and its impact on the future for us all.
Subjects: Artificial intelligence.; Machine learning.;
Available copies: 2 / Total copies: 3
unAPI

What is the future of artificial intelligence? / by Allen, John,1957-author.(CARDINAL)460247;
Computers are already able to defeat human chess champions and operate automobiles and aircraft independently. Computer networks, guided by artificial intelligence, promise to bring huge changes to business, marketing, medicine, transportation, warfare, and other areas of modern life.789Y
Subjects: Young adult literature.; Young adult literature.; Artificial intelligence.; Machine learning.; Technological innovations.;
Available copies: 1 / Total copies: 2
unAPI

Applied machine learning and AI for engineers : solve business problems that can't be solved algorithmically / by Prosise, Jeffauthor.(CARDINAL)879138; Prosise, Adam,writer of foreword.;
Includes bibliographical references and index.Part 1. Machine learning with Schikit-learn. Machine learning -- Regression models -- Classification models -- Text classification -- Support vector machines -- Principal component analysis -- Operationalizing machine learning models -- Part 2. Deep learning with Keras and TensorFlow. Deep learning -- Neural networks -- Image classification with convolutional neural networks -- Face detection and recognition -- Object detection -- Natural language processing -- Azure cognitive services.While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal logging in the rainforest, analyze text for sentiment, or predict early failures in rotating machinery? This practical book teaches you the skills necessary to put AI and machine learning to work at your company.
Subjects: Artificial intelligence.; Machine learning.;
Available copies: 1 / Total copies: 1
unAPI

The deep learning revolution / by Sejnowski, Terrence J.(Terrence Joseph),author.(CARDINAL)761089;
Includes bibliographical references and index.The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.
Subjects: Machine learning.; Big data.; Artificial intelligence;
Available copies: 1 / Total copies: 1
unAPI

The times machine : learn multiplication and division . . . like, yesterday! / by McKellar, Danica,author.(CARDINAL)485814; Masse, Josée,illustrator.(CARDINAL)670079;
"Unleash the magic of math with Danica McKellar, her friends Mr. Mouse and Ms. Squirrel, and the exciting contraption the Times Machine!"--ages 7-10.Grades 2-5.750L
Subjects: Instructional and educational works.; Multiplication; Division; Mathematics;
Available copies: 16 / Total copies: 22
unAPI

Results 11 to 20 of 1,606 | « previous |