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Proofs of the Cantor-Bernstein Theorem: A Mathematical Excursion

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Proofs of the Cantor-Bernstein Theorem: A Mathematical Excursion by Arie Hinkis
English | 2013-02-22 | ISBN: 3034802234 | PDF | 452 pages | 3 MB

Proofs of the Cantor-Bernstein Theorem: A Mathematical Excursion
This book offers an excursion through the developmental area of research mathematics. It presents some 40 papers, published between the 1870s and the 1970s, on proofs of the Cantor-Bernstein theorem and the related Bernstein division theorem. While the emphasis is placed on providing accurate proofs, similar to the originals, the discussion is broadened to include aspects that pertain to the methodology of the development of mathematics and to the philosophy of mathematics. Works of prominent mathematicians and logicians are reviewed, including Cantor, Dedekind, Schröder, Bernstein, Borel, Zermelo, Poincaré, Russell, Peano, the Königs, Hausdorff, Sierpinski, Tarski, Banach, Brouwer and several others mainly of the Polish and the Dutch schools. In its attempt to present a diachronic narrative of one mathematical topic, the book resembles Lakatos’ celebrated book Proofs and Refutations. Indeed, some of the observations made by Lakatos are corroborated herein. The analogy between the two books is clearly anything but superficial, as the present book also offers new theoretical insights into the methodology of the development of mathematics (proof-processing), with implications for the historiography of mathematics.
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Zerstorer Volume One: Luftwaffe Fighter-Bombers and Destroyers 1936-1940 (Luftwaffe Colours)

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John J. Vasco – Zerstorer Volume One: Luftwaffe Fighter-Bombers and Destroyers 1936-1940 (Luftwaffe Colours)
Classic Publications | 2006 | ISBN: 1903223571 | English | 97 pages | PDF | 9.65 MB

Zerstorer Volume One: Luftwaffe Fighter-Bombers and Destroyers 1936-1940 (Luftwaffe Colours)
The Luftwaffe Zerstörer units, equipped with the twin-engined Me 110, were first used to great effect in the escort and air superiority roles against the Polish Air Force in 1939. Later these units took part in the occupation of Norway and Denmark, and during the Blitzkrieg against the west in 1940, when their numbers were expanded with the addition of new units. Considered by Göring to be among the elite of the Luftwaffe, the Zerstörer were deployed in the Battle of Britain, in the Balkans, North Africa and in the East, where Zerstörergruppen accounted for significant numbers of Russian aircraft destroyed on the ground and in the air. This is the first of two volumes covering the history of the Zerstörer squadrons between 1939 and 1945. Each volume adopts the traditional Classic approach of a detailed narrative matched with a comprehensive selection of photos, many previously unpublished, and specially prepared color artworks.
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Scikit-Learn Cookbook

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Scikit-Learn Cookbook by Trent Hauck
2014 | ISBN: 1783989483 | English | 214 pages | PDF | 3 MB

Scikit-Learn Cookbook
Over 50 recipes to incorporate scikit-learn into every step of the data science pipeline, from feature extraction to model building and model evaluation

About This Book

Learn how to handle a variety of tasks with Scikit-Learn with interesting recipes that show you how the library really works
Use Scikit-Learn to simplify the programming side data so you can focus on thinking
Discover how to apply algorithms in a variety of situations
Who This Book Is For

If you're a data scientist already familiar with Python but not Scikit-Learn, or are familiar with other programming languages like R and want to take the plunge with the gold standard of Python machine learning libraries, then this is the book for you.

In Detail

Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. Its consistent API and plethora of features help solve any machine learning problem it comes across.

The book starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets.
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Scikit-Learn Cookbook

FREEDownload : Scikit-Learn Cookbook

Scikit-Learn Cookbook by Trent Hauck
2014 | ISBN: 1783989483 | English | 214 pages | PDF | 3 MB

Scikit-Learn Cookbook
Over 50 recipes to incorporate scikit-learn into every step of the data science pipeline, from feature extraction to model building and model evaluation

About This Book

Learn how to handle a variety of tasks with Scikit-Learn with interesting recipes that show you how the library really works
Use Scikit-Learn to simplify the programming side data so you can focus on thinking
Discover how to apply algorithms in a variety of situations
Who This Book Is For

If you're a data scientist already familiar with Python but not Scikit-Learn, or are familiar with other programming languages like R and want to take the plunge with the gold standard of Python machine learning libraries, then this is the book for you.

In Detail

Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. Its consistent API and plethora of features help solve any machine learning problem it comes across.

The book starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets.
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Scikit-Learn Cookbook (PDF)

FREEDownload : Scikit-Learn Cookbook (PDF)

Scikit-Learn Cookbook by Trent Hauck
2014 | ISBN: 1783989483 | English | 214 pages | PDF | 3 MB
Over 50 recipes to incorporate scikit-learn into every step of the data science pipeline, from feature extraction to model building and model evaluation

Scikit-Learn Cookbook (PDF)
About This Book

Learn how to handle a variety of tasks with Scikit-Learn with interesting recipes that show you how the library really works
Use Scikit-Learn to simplify the programming side data so you can focus on thinking
Discover how to apply algorithms in a variety of situations
Who This Book Is For

If you're a data scientist already familiar with Python but not Scikit-Learn, or are familiar with other programming languages like R and want to take the plunge with the gold standard of Python machine learning libraries, then this is the book for you.

In Detail

Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. Its consistent API and plethora of features help solve any machine learning problem it comes across.

The book starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets.

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Microsoft PowerPoint 2013 Step By Step

Joan Lambert, Joyce Cox, "Microsoft PowerPoint 2013 Step By Step"
2013 | ISBN-10: 0735669104 | 480 pages | PDF + EPUB | 30.72 MB
Experience learning made easy—and quickly teach yourself how to create compelling presentations with PowerPoint 2013. With Step by Step, you set the pace—building and practicing the skills you need, just when you them! Includes downloadable practice files and a companion eBook.

Work with PowerPoint on your PC or touch-enabled device
Design, organize, and polish your slides
Create professional-looking charts and graphics
Engage your audience with animation, audio, and video
Customize themes and templates
Prepare for your presentation

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