An Introductory Guide to Species Iris and SIGNA

An Introductory Guide to Species Iris and SIGNA PDF Author: Species Iris Group of North America
Publisher:
ISBN:
Category : Iridaceae
Languages : en
Pages : 47

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An Introductory Guide to Species Iris and SIGNA

An Introductory Guide to Species Iris and SIGNA PDF Author: Species Iris Group of North America
Publisher:
ISBN:
Category : Iridaceae
Languages : en
Pages : 47

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Book Description


A Guide to Species Irises

A Guide to Species Irises PDF Author: British Iris Society. Species Group
Publisher: Cambridge University Press
ISBN: 9780521440745
Category : Science
Languages : en
Pages : 428

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Book Description
The first new, botanically detailed survey of irises to be published for over 80 years.

S.I.G.N.A., Species Iris Group of North America Checklists of Iris

S.I.G.N.A., Species Iris Group of North America Checklists of Iris PDF Author: Species Iris Group of North America
Publisher:
ISBN:
Category : Botanists
Languages : en
Pages : 421

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S.I.G.N.A, Species Iris Group of North America Checklists of Iris

S.I.G.N.A, Species Iris Group of North America Checklists of Iris PDF Author: Species Iris Group of North America
Publisher:
ISBN:
Category : Iridaceae
Languages : en
Pages : 272

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Encyclopedia of Associations

Encyclopedia of Associations PDF Author:
Publisher:
ISBN: 9780787682866
Category : Associations, institutions, etc
Languages : en
Pages : 1492

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Alphabetical List of Iris Species

Alphabetical List of Iris Species PDF Author: Jean Witt
Publisher:
ISBN:
Category : Irises (Plants)
Languages : en
Pages : 45

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A Guide to Bearded Irises

A Guide to Bearded Irises PDF Author: Kelly Norris
Publisher: Timber Press
ISBN: 1604694068
Category : Gardening
Languages : en
Pages : 349

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Book Description
The diversity of bearded irises rivals that of any other perennial grown in temperate climates. For some gardeners, they bring back warm memories of a grandparent's garden; for others, they're a cutting-edge plant with a seemingly endless capacity for producing new forms and patterns. As the manager of Rainbow Iris Farm and co-editor of the Bulletin of the American Iris Society, Kelly Norris is the authority on gardening with bearded irises. His introductory chapters offer tips for successful growth, garden design, plant selection, and "creating" new irises. A Guide to Bearded Irises also provides portraits of the most outstanding plants in each of the six recognized categories, from the dainty miniature dwarf bearded irises to the stately tall bearded irises. A resource section lists specialty nurseries, organizations devoted to bearded irises, and public gardens with notable iris collections.

Machine Learning Crash Course for Engineers

Machine Learning Crash Course for Engineers PDF Author: Eklas Hossain
Publisher: Springer Nature
ISBN: 3031469909
Category : Computers
Languages : en
Pages : 465

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Book Description
​Machine Learning Crash Course for Engineers is a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book focuses on the application aspects of machine learning, progressing from the basics to advanced topics systematically from theory to applications and worked-out Python programming examples. It offers highly illustrated, step-by-step demonstrations that allow readers to implement machine learning models to solve real-world problems. This powerful tutorial is an excellent resource for those who need to acquire a solid foundational understanding of machine learning quickly.

Colorado Flora

Colorado Flora PDF Author: William A. Weber
Publisher: University Press of Colorado
ISBN: 1607321432
Category : Nature
Languages : en
Pages : 585

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Book Description
Colorado Flora: Western Slope describes the remarkable flora of the state, distinctive in its altitudinal range, numerous microhabitats, and ancient and rare plants. Together with Colorado Flora: Eastern Slope, Fourth Edition, these volumes are designed to educate local amateurs and professionals in the recognition of vascular plant species and encourage informed stewardship of our biological heritage. These thoroughly revised and updated editions reflect current taxonomic knowledge. The authors describe botanical features of this unparalleled biohistorical region and its mountain ranges, basins, and plains and discuss plant geography, giving detailed notes on habitat, ecology, and range. The keys contain interesting anecdotes and introductions for each plant family. The book is rounded out with historical background of botanical work in the state, suggested readings, glossary, index to scientific and common names, references, and hundreds of illustrations. The books also contain a new contribution from Donald R. Farrar and Steve J. Popovich on moonworts. The fourth editions of Colorado Flora: Eastern Slope and Colorado Flora: Western Slope are ideal for both student and scientist and essential for readers interested in Colorado's plant life.

Introduction to Machine Learning with Python

Introduction to Machine Learning with Python PDF Author: Andreas C. Müller
Publisher: "O'Reilly Media, Inc."
ISBN: 1449369898
Category : Computers
Languages : en
Pages : 400

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Book Description
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. With this book, you’ll learn: Fundamental concepts and applications of machine learning Advantages and shortcomings of widely used machine learning algorithms How to represent data processed by machine learning, including which data aspects to focus on Advanced methods for model evaluation and parameter tuning The concept of pipelines for chaining models and encapsulating your workflow Methods for working with text data, including text-specific processing techniques Suggestions for improving your machine learning and data science skills