Free Ebook Sailmaker's Apprentice (Guide for the Self-Reliant Sailor)By Emiliano Marino

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Learn how to design, make, repair, improve, and maintain sails

If you want to produce sturdy sails for daysailing and cruising, built of low-tech materials you can repair with a few simple tools, The Sailmaker's Apprentice can show you how. Emphasizing the handwork that distinguishes the highest-quality, most durable sails, sail pro Emiliano Marino tells you how to select a rig, introduces you to sail shape and theory, and then shows you -- step by step, with the help of over 700 detailed illustrations -- how to sew patches, hand sew rings, fix tears or frayed edges, and stitch seams, not to mention how to make your own sails, canvas sailcovers, and sailbags from scratch.

A visual feast for the sailor as well as an indispensable guide for the mariner comprehensive apprenticeship, this hands-on reference is an illustrated tour of the world's rig and sail types, contemporary and historical.

• Sales Rank: #639492 in eBooks
• Published on: 2001-03-30
• Released on: 2001-03-30
• Format: Kindle eBook

Review
"... a clearly illustrated, superb step-by-step guide to traditional sailmaking." -- Cruising World

"... not just a new standard reference for designing, making, and using traditional sails, but a virtual epic poem about traditional sailmaking... Safe to say that The Sailmaker's Apprentice will dominate the shelf on books on sails and sailmaking far into the future... The best and most comprehensive book on sailmaking and sail repair to be published in a long time." -- WoodenBoat

"The author's depth of experience is make clear... through the excellent reorganization of the material and the remarkable clarity of the writing. There is also a playfulness about the book that reveals more than a sense of humor; it reveals true mastery... While we can take guidance from others, ultimately we must rely on ourselves for fulfillment. Many roads lead there, and with this book, Marino has surely proven that sailmaking is one of them." -- The Northern Mariner

From the Back Cover

"A clearly illustrated, superb step-by-step guide."--Cruising World

More than a how-to guide to designing, making, repairing, and improving sails, The Sailmaker's Apprentice combines 700 detailed drawings with a witty, wise, and philosophically probing commentary that is as much about living a life of self-reliance and harmony as it is about making sails. Here you will find a visual feast for the sailor as well as an indispensable guide for the mariner.

"The basics of traditional sailmaking . . . are artfully, lavishly, even passionately elaborated and enriched. . . . The author has created not just a new standard reference . . . but a virtual epic poem. . . . The best and most comprehensive book on sailmaking and sail repair to be published in a long time."--WoodenBoat

"Reveals true mastery."--Northern Mariner

"The accepted standard volume on sailmaking."--Ensign

About the Author

Emiliano Marino is a lifelong sailor and has been making sails since 1974. He has written about sailmaking and sail care in Small Boat Journal and WoodenBoat.

Christine Erikson, also a sailmaker, illustrates for Threads, among other magazines.

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Ebook Download Wireless OFDM Systems: How to make them work? (The Springer International Series in Engineering and Computer Science)By Marc Engels

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Wireless OFDM Systems: How to make them work? (The Springer International Series in Engineering and Computer Science)By Marc Engels

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"This book [...] gives a comprehensive overview of the implementation of OFDM systems. […] For those who study or work on broadband communication in a wireless multipath environment, this book is a useful and easy-to-read reference. [...]"
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• Sales Rank: #4025828 in eBooks
• Published on: 2002-06-30
• Released on: 2002-06-30
• Format: Kindle eBook

Review
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(Zongsen Wu, Shaowen Song and Tianying Ji, Physics and Computing Dept., Wilfrid Laurier University, ON)

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Free Download Eighth Grade Bites (The Chronicles of Vladimir Tod)By heather grade burns

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• Sales Rank: #4140092 in Books
• Published on: 2007
• Format: Abridged
• Binding: Paperback

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Download PDF Clinical Examination, 3eBy Owen Epstein, John Cookson, G. David Perkin, David P. De Bono

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Clinical Examination, 3eBy Owen Epstein, John Cookson, G. David Perkin, David P. De Bono

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The third edition of CLINICAL EXAMINATION provides a clear, practical and above all, superbly illustrated guide to all aspects of history taking and patient examination. Designed to be accessible both to medical students just starting their clinical attachments and to more experienced readers, the clear writing style, the innovative use of clinical photographs and the explanatory artworks combine to explain and clarify the concepts and skills necessary to take a history and perform an examination. The text is organised by body system, with each chapter structured the same way: firstly, underlying structure and function; secondly, signs, symptoms and abnormalities; thirdly, patient examination.

• "Icon boxes" highlight suggested questions to ask the patient · primary disorders associated with each body region and their causes · sample case histories · implications for emergency situations · implications for elderly patients · risk factors · and key points.
  • Sales Rank: #2809248 in Books
  • Brand: Brand: Mosby
  • Published on: 2003-06-23
  • Original language: English
  • Number of items: 1
  • Dimensions: .86" h x 8.56" w x 11.02" l,
  • Binding: Paperback
  • 436 pages
  Features
  • Used Book in Good Condition

  About the Author
  Owen Epstein is a consultant gastroenterologist at the Royal Free, active both in undergraduate medical student and postgraduate/GP training. He is an enthusiastic advocate of non-traditional, electronic teaching and learning methods, having introduced various interactive teaching systems into the Royal Free. David Perkin is a consultant neurologist and teacher at the Charing Cross, familiar to us as the author of Atlas of Clinical Neurology and Mosby's Color Atlas & Text: Neurology. John Cookson is a consultant (respiratory) physician at the Glenfield Hospital in Leicester, again, very active in studentteaching and particularly interested in non-traditional, interactive teaching methods.
  
  The fourth author on the second edition, David de Bono, died last year and his chapter will be taken over by John Cookson; I propose that David still be listed as an author on the cover and his involvementon previous editions acknowledged inside the 3/e.

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PDF Download Dear Mr. G.: The Biography Of Clark GableBy Jean Garceau, Clark Gable, Inez Cocke

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Originally published: Boston: Little, Brown, 1961.

• Sales Rank: #4540991 in Books
• Published on: 2011-10-15
• Original language: English
• Number of items: 1
• Dimensions: 9.02" h x .67" w x 5.98" l, .95 pounds
• Binding: Paperback
• 320 pages

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Ebook Free Real-World Machine Learning

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Henrik Brink is a data scientist and software developer with extensive ML experience in industry and academia.Joseph Richards is a senior data scientist with expertise in applied statistics and predictive analytics. Henrik and Joseph are co-founders of wise.io, a leading developer of machine learning solutions for industry.Mark Fetherolf is founder and President of data management and predictive analytics company, Numinary Data Science. He has worked as a statistician and analytics database developer in social science research, chemical engineering, information systems performance, capacity planning, cable television, and online advertising applications.

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Product details

Paperback: 264 pages

Publisher: Manning Publications; 1 edition (September 30, 2016)

Language: English

ISBN-10: 9781617291920

ISBN-13: 978-1617291920

ASIN: 1617291927

Product Dimensions:

7.3 x 0.7 x 9.1 inches

Shipping Weight: 1 pounds (View shipping rates and policies)

Average Customer Review:

3.9 out of 5 stars

9 customer reviews

Amazon Best Sellers Rank:

#733,208 in Books (See Top 100 in Books)

This is a great book on the subject, focusing on real-world applications of machine learning.It is not an introductory book on this subject.Readers interested in the mathematical foundations of machine learning are advised to refer to textbooks such as "An Introduction to Statistical Learning", by Gareth James.The authors demonstrate their hands-on knowledge of the subject by presenting the material in a cohesive fashion with several examples anduse cases accompanied by Python, pandas and scikit-learn Notebooks. Two of the authors were amongst the co-founders of Wise.io, which was acquired by General Electric, a testament to the business value of their body of knowledge beyond this book.In terms of content, the strengths of the book are in its coverage of feature engineering and scaling of machine learning systems.In addition, the example Notebooks and associated data are available for download.Its weakness is in presentation of figures in black-and-white, which makes them less than useful. Yet, Manning makes access to the PDF version of the book, containing figures in color, relatively easy.

While this is a practitioner oriented book, it will be useful to anyone who is learning about machine learning. This book does a very good job of illustrating the "how" of machine learning--- the practical steps of organizing data sets, and the various steps involved in building up and evaluating models.The book is very well organized, and well presented. The authors crafted a good systematic approach for explaining and illustrating through example the various steps of the process of using ML methods to create models for classification and prediction. They book has a number of good examples.No mathematical background is required for reading this book. Obviously it helps if the reader has some familiarity with the various types of statistical models used in ML. Even if that is not the case, the book is a good starting point for bridging between the "what" of ML and the "how" of ML. For those who want to try things in a hands-on fashion, they give a number of code examples, with sufficient brief annotations so you know what the blocks are code are being used for.

It provides a decent overview of ML, and has some great project ideas, but is way too skimpy on some if the important mathematical details. Also, a lot of the functions they demonstrate code fof, especially for feature engineering, already exist in many ML packages.

This is a great work for the intermediate-level developer - some basic familiarity with Python coding is assumed, along with basic understanding of algorithms - so it makes a really good companion for programmers wanting to adopt machine learning practices and problem-solving. It really emphasizes best practices in terms of data preprocessing and taking an approach to using ML the right way - not just as a catch-all tool.It's a very helpful guide that'll make a great addition to your library!

"Real-World Machine Learning" was the antidote after going through a couple of ugly, half-baked and semi-competent "book products" from Packt. It is uplifting to see an original, expert, well-written and visually attractive book.Trying to describe it, I would note three things that the book is not. It is not obviously more "real world" than its competitors: the "real world" reference seems to be a forgivable differentiation exercise. It is not thick: 230 pages. It is not a textbook or a catalogue of machine-learning algorithms - which you will need to get. (I would suggest "Introduction to statistical learning" by James, Witten, Hastie and Tibshirani). It is, however, a thoughtful introduction to and overview of machine-learning methods, appropriately remembering about the context and life-cycle of an ML project, and keeping things hands-on with small Python examples, but managing not to fall into the catalogue mode.I have seen other books try this before. "Doing Data Science" by O'Neill and Schutt comes to mind first, long on enthusiasm but a little short on quality. Then there is Manning's own "Practical Data Science with R" by Zumel and Mount. Among the three, RWML looks like a clear winner.If I had to pick on something, I would register disappointment with the book's one extended exercise, based on the NYC taxi dataset. After all the thoughtful discussion, an unimaginative take-all-variables-and-dump-them-into-an-algorithm-then-look-at-single-number exercise was a let-down. (Statisticians, taught to think hard about model specification and to prize model interpretability, often have that complaint about machine-learning hotshots. Google Norman Matloff's blog post "Statistics: Losing Ground…" for more on the differences between the two camps). This said, from editorial viewpoint, maybe not getting into the weeds actually was a good idea.An enthusiastic endorsement for a very nicely done book.

I liked the textual part of the book. It's quite a good introduction for someone who haven't dealt with ML before. I got the overall image of what it is, the common workflow, and that you can start experimenting relatively easy.In contrary, code snippets in the book and python notebooks seemed like an afterthought — unrelated lines of code, sometimes lacking explanation while having it for the obvious parts. I gave up trying to run the notebook for the chapter 6, it had missing imports, passing NaNs to functions that don't expect them, and other errors which only Google knows how to fix.The discussion forum for the book is also dead, and the search doesn't work, so you won't find support there as well.

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Download Emerald Eyes (The Emerald Eyes)By N. Michaels

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After years of fighting the pressure of becoming a neurosurgeon and continuing her family's famous legacy, Katherine Slav's father has had enough of her partying. He cuts her off financially, leaving Katherine to fend for herself. Finding a job is a priority. Finding Eric Miller is a bonus – a bonus that quickly proves to be impossible to resist. How can she have the only man who denies her every step of the way? How can she seduce her boss without losing her job? Struggling to ward off feelings that go beyond professional, Eric tries to keep Katherine at arm’s length, but the more he’s around her, the weaker his resistance becomes. Discovering Eric’s secret and baring her own, she fights for her newfound love with everything she’s got, but will it be enough to banish the darkness in Eric’s life? Is having Eric Miller all she thought it would be? Will Katherine be enough?

• Sales Rank: #5067743 in Books
• Published on: 2014-07-08
• Original language: English
• Number of items: 1
• Dimensions: 9.00" h x .67" w x 6.00" l, .88 pounds
• Binding: Paperback
• 296 pages

About the Author
N. Michaels resides in north NJ in a quiet suburb with her husband and two children. She began telling stories at the tender age of six, and later on began penning her ideas and sharing her stories with her family and friends.

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