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Minggu, 28 Juni 2015

Ebook Free

Ebook Free

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Product details

File Size: 6554 KB

Print Length: 880 pages

Page Numbers Source ISBN: 1454891262

Simultaneous Device Usage: Up to 4 simultaneous devices, per publisher limits

Publisher: Aspen Publishers; 5 edition (November 6, 2018)

Publication Date: November 6, 2018

Sold by: Amazon Digital Services LLC

Language: English

ASIN: B07KPQR8KY

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Amazon Best Sellers Rank:

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Sabtu, 20 Juni 2015

PDF Download Trackside 117 around Ontario's Cottage Country, by Bram Bailey

PDF Download Trackside 117 around Ontario's Cottage Country, by Bram Bailey

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Trackside 117 around Ontario's Cottage Country, by Bram Bailey

Trackside 117 around Ontario's Cottage Country, by Bram Bailey


Trackside 117 around Ontario's Cottage Country, by Bram Bailey


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Trackside 117 around Ontario's Cottage Country, by Bram Bailey

Trackside Series 117, By Bram Bailey. Cloth with dust jacket, 8.5x11", 128 glossy pages, color photos throughout. 2019. "Bram Bailey takes you on a railfan trip through the tourist area north and east of Toronto, Ontario, Canada. You will see first and early second generation diesel units on the Canadian National, Ontario Northland, Via Rail, Algoma Central, Canadian Pacific and the electrics of International Nickel spanning the years 1964 until 2017, with an emphasis on the 1968-1990 time frame."

Read more

Product details

Hardcover: 128 pages

Publisher: Morning Sun Books; 1st edition (2019)

Language: English

ISBN-10: 1582486662

ISBN-13: 978-1582486666

Package Dimensions:

11 x 8.5 x 1 inches

Shipping Weight: 3.5 pounds (View shipping rates and policies)

Average Customer Review:

Be the first to review this item

Amazon Best Sellers Rank:

#1,272,514 in Books (See Top 100 in Books)

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Kamis, 11 Juni 2015

Ebook , by William James

Ebook , by William James

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, by William James

Product details

File Size: 17445 KB

Print Length: 6786 pages

Publisher: Delphi Classics; 1 edition (November 16, 2018)

Publication Date: November 16, 2018

Sold by: Amazon Digital Services LLC

Language: English

ASIN: B07KN3M8PF

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Amazon Best Sellers Rank:

#385,024 Paid in Kindle Store (See Top 100 Paid in Kindle Store)

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Jumat, 29 Mei 2015

Ebook Free National Geographic Kids Look and Learn: Things That Go (Look & Learn)

Ebook Free National Geographic Kids Look and Learn: Things That Go (Look & Learn)

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National Geographic Kids Look and Learn: Things That Go (Look & Learn)

National Geographic Kids Look and Learn: Things That Go (Look & Learn)


National Geographic Kids Look and Learn: Things That Go (Look & Learn)


Ebook Free National Geographic Kids Look and Learn: Things That Go (Look & Learn)

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National Geographic Kids Look and Learn: Things That Go (Look & Learn)

About the Author

NATIONAL GEOGRAPHIC KIDS inspires young adventurers to explore the world through award-winning magazines, books, website, apps, games, toys, television series and events and is the only kids brand with a world-class scientific organization at its core.

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Product details

Age Range: 2 - 5 years

Grade Level: Preschool - Kindergarten

Lexile Measure: AD510L (What's this?)

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Series: Look & Learn

Board book: 24 pages

Publisher: National Geographic Children's Books; Brdbk edition (August 5, 2014)

Language: English

ISBN-10: 9781426317064

ISBN-13: 978-1426317064

ASIN: 1426317069

Product Dimensions:

5.9 x 0.6 x 5.9 inches

Shipping Weight: 8.8 ounces (View shipping rates and policies)

Average Customer Review:

4.7 out of 5 stars

50 customer reviews

Amazon Best Sellers Rank:

#107,898 in Books (See Top 100 in Books)

My son is almost 2 and loves this book. He overall loves the National Geographic Look and Learn series but this one is one of his favorites. The book is not about different dog breeds but rather about dogs in general, so if you are looking for a book that has a bunch of breeds in it this is not it. The book rather teaches children about dogs in general and how some dogs have long hair and some dogs have short hair and some have floppy ears and some have ears that stand up. They also give little facts about dogs and their sense of smell and hearing. The books are interactive in that they will ask the child to point out the dog with the floppy ears etc. The book not only teaches about dogs but gets the child involved by posing questions. Overall this is a great book in the series and i would recommend it to any parent that has a child who loves dogs.

My 15 month old is obsessed with dogs and this book is just perfect! I love that it is a board book so that it is sturdy and can't be ripped. There are lots of different dogs in this book. All different sizes, breads, mixes. I like how in addition to her looking at the dogs which she loves, it also has some learning elements with the different sizes of dogs. There are also facts about dogs for little ones. The pictures alone are worth it if your child is interested in dogs/animals but the facts make it even better. Would definetely recommend. Great buy! I plan on getting other books in the series.

We love the children books and magazines published by National Geographic and we have a growing inventory of these publications. My kids love them so much that we ordered this book even before it was published. Today, it arrived and both my kids have already gone through it a couple of times.This book is the newest addition to the National Geographic Look and Learn series. According to the publisher, the books in this series are prepared for children between 1 to 4 years of age. If you have other more famous books of these series like 'Count', 'Match', 'Opposites' and 'Different', you will find this one pretty similar to those in terms of the physical appearance and the organization. It is a 4.5 X 4.5 inches square with 22 pages. It is a classical board book design so that younger children can enjoy it without tearing the pages. The binding is of good quality (our experience from other books of these series) and the colors are vibrant. It is organized in a way that two adjacent pages have a picture of a single vehicle against monochrome background and the next pair of pages has the actual image taken at its original location (a boat in the sea or a plane in the sky etc.) In the first pair, some parts of the vehicle like windshield, tire , lights etc are marked and the next pair of pages either give a handy information or ask a simple question.Although I like this general design from the other books I have, there is something not that appealing about this book. May be, it is because of that this book is a little bit out of the scope of National Geographic (no wild animals or nature photos) or that the information given or the questions asked are too basic for someone over 2 years old to pay attention. The other books like 'Match'National Geographic Little Kids Look and Learn: Match and 'Same and Different'National Geographic Little Kids Look and Learn: Same and Different offer a lot more educational value and really challenging questions that would make a toddler think and pay attention. In these aspects, it seems that National Geographic want to take a slice from the high popularity of the 'things that go' among young children. My feeling is that this book can be beneficial for around one years of age while older children may find it a bit basic (they still enjoy the great photos though)My other criticism about the book is that it depicts a navy war ship (probably a plane carrier) in the section of boats. That is not a war vessel loaded with guns but still we try to avoid everything that even slightly refers to weapons, violence or war and in that aspect that selection is a real poor one for a book that is written for a toddler.In conclusion, both price wise and the quality wise it is a good addition to the series, however the contents do not match the taste of the other books we own from this series. So 4 stars out of 5...

This is a perfect book for any baby that loves dogs. Our daughter cannot get enough of dogs and she squeals with glee at this book. She is now 11 months old and she loves to turn the pages and point at the dogs. I'm sure she'll be enjoying this book for years. In terms of content, it has high quality photographs and a few basic informational tidbits for young kids. It is a very sturdy little book.

If you asked my 18 month old, this is the greatest book ever written. She even sleeps with it. Good quality, lots of pictures, and enough variation to be able to talk about the different types of dogs (good for kids who are learning to talk).

I bought a few of these books for my friends 2yr olds birthday. Shes a more intelligent toddler so I looked for books that would match that. The pictures are bright, the information is good for a small child, short sentences with little informational tidbits. I think these will be excellent.

Great little book for young children or beginning readers. Has great pictures of dogs and helpful tips for identification characteristics and basic care.

My 3 yr old grandson LOVES this book. His mom says he carries it everywhere. I like it because it has the thick pages so I don't have to worry about him getting rough with it. National Geographic Little Kids Look and Learn: Things That Go (Look & Learn)

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Minggu, 03 Mei 2015

PDF Ebook Salsas and Dips: Over 101 Recipes for the Perfect Appetizers, Dippables, and Crudités (The Art of Entertaining)

PDF Ebook Salsas and Dips: Over 101 Recipes for the Perfect Appetizers, Dippables, and Crudités (The Art of Entertaining)

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Salsas and Dips: Over 101 Recipes for the Perfect Appetizers, Dippables, and Crudités (The Art of Entertaining)

Salsas and Dips: Over 101 Recipes for the Perfect Appetizers, Dippables, and Crudités (The Art of Entertaining)


Salsas and Dips: Over 101 Recipes for the Perfect Appetizers, Dippables, and Crudités (The Art of Entertaining)


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Salsas and Dips: Over 101 Recipes for the Perfect Appetizers, Dippables, and Crudités (The Art of Entertaining)

Product details

Series: The Art of Entertaining

Paperback: 256 pages

Publisher: Cider Mill Press (March 20, 2018)

Language: English

ISBN-10: 1604337664

ISBN-13: 978-1604337662

Product Dimensions:

6.5 x 0.7 x 8 inches

Shipping Weight: 1.2 pounds (View shipping rates and policies)

Average Customer Review:

5.0 out of 5 stars

3 customer reviews

Amazon Best Sellers Rank:

#71,982 in Books (See Top 100 in Books)

I love getting a recipe book that I know I will use time and time again. This is one of those. No weird ingredients, but not too basic. A great reference for salsas and dips with the traditional favorites covered plus great variations. Highly recommend!

Beautiful

Excellent source of delicious and reliable party favorites!! Love that there are so many quick and easy recipes.

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Salsas and Dips: Over 101 Recipes for the Perfect Appetizers, Dippables, and Crudités (The Art of Entertaining) PDF

Salsas and Dips: Over 101 Recipes for the Perfect Appetizers, Dippables, and Crudités (The Art of Entertaining) PDF

Salsas and Dips: Over 101 Recipes for the Perfect Appetizers, Dippables, and Crudités (The Art of Entertaining) PDF
Salsas and Dips: Over 101 Recipes for the Perfect Appetizers, Dippables, and Crudités (The Art of Entertaining) PDF

Kamis, 16 April 2015

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File Size: 42298 KB

Print Length: 343 pages

Simultaneous Device Usage: Up to 4 simultaneous devices, per publisher limits

Publisher: Elsevier; 1 edition (August 17, 2017)

Publication Date: August 17, 2017

Sold by: Amazon Digital Services LLC

Language: English

ASIN: B0789Z1YL8

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Jumat, 03 April 2015

Download PDF Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence (Undergraduate Topics in Computer Science)

Download PDF Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence (Undergraduate Topics in Computer Science)

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Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence (Undergraduate Topics in Computer Science)

Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence (Undergraduate Topics in Computer Science)


Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence (Undergraduate Topics in Computer Science)


Download PDF Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence (Undergraduate Topics in Computer Science)

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Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence (Undergraduate Topics in Computer Science)

From the Back Cover

This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art. The text explores the most popular algorithms and architectures in a simple and intuitive style, explaining the mathematical derivations in a step-by-step manner. The content coverage includes convolutional networks, LSTMs, Word2vec, RBMs, DBNs, neural Turing machines, memory networks and autoencoders. Numerous examples in working Python code are provided throughout the book, and the code is also supplied separately at an accompanying website. Topics and features: Introduces the fundamentals of machine learning, and the mathematical and computational prerequisites for deep learningDiscusses feed-forward neural networks, and explores the modifications to these which can be applied to any neural networkExamines convolutional neural networks, and the recurrent connections to a feed-forward neural networkDescribes the notion of distributed representations, the concept of the autoencoder, and the ideas behind language processing with deep learningPresents a brief history of artificial intelligence and neural networks, and reviews interesting open research problems in deep learning and connectionism This clearly written and lively primer on deep learning is essential reading for graduate and advanced undergraduate students of computer science, cognitive science and mathematics, as well as fields such as linguistics, logic, philosophy, and psychology. Dr. Sandro Skansi is an Assistant Professor of Logic at the University of Zagreb and Lecturer in Data Science at University College Algebra, Zagreb, Croatia.

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About the Author

Dr. Sandro Skansi is an Assistant Professor of Logic at the University of Zagreb and Lecturer in Data Science at University College Algebra, Zagreb, Croatia.

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Product details

Series: Undergraduate Topics in Computer Science

Paperback: 191 pages

Publisher: Springer; 1st ed. 2018 edition (February 6, 2018)

Language: English

ISBN-10: 9783319730035

ISBN-13: 978-3319730035

ASIN: 3319730037

Product Dimensions:

6.1 x 0.5 x 9.2 inches

Shipping Weight: 10.9 ounces (View shipping rates and policies)

Average Customer Review:

3.8 out of 5 stars

4 customer reviews

Amazon Best Sellers Rank:

#425,744 in Books (See Top 100 in Books)

I am not sure how a book with this very bad quality made it to a publisher such as Springer. There are some deep learning books out there that are written by non-experts that are much better than this one. The book does not touch on any subject in any real substantial way. There are no examples of deep learning applications. The notation is vague. The Python code is presented inside the book which is rather hard to read there. The figures are really really of bad quality. There are no insights on the concepts at all. The research questions at the end of the book are meaningless and some them seemed as if they were written by someone who does not know what he is talking about. The book is a total waste of money.

Definitively recommended this book if have an interest in:1) A historical perspective of how machine learning evolved into deep learning during the past 50 years2) A self-contained and succint description of what are the deep learning mathematical pre-requisites (such as calculus, matrix computation, probabilities)3) A well structured introduction to:- Machine Learning basics- Convolutional network. This exposition is very well done.- Recurrent Networks. Another well-done exposition.- Autoencoders.I've also appreciated particularly the short overview of deep learning for NPL. Short, but very clear.One thing that is missing in this book is the use of Deep Learning together with Reinforcement Learning.So for that you need another source.

I developed a course in Deep Learning at the University of Washington. Although I assigned readings from the Goodfellow et al. book, I also recommended sections from this book. In particular, a two items stood out:1) A nice historical perspective on the subject, which is lacking in many students (and even young researchers!) today.2) Detailed numeric examples of backpropagation through a multi-layer network. I required my students to do the computations themselves with a calculator on a very small example, instead of just relying on the "magic" of auto-differentiation software such as that included in TensorFlow or pytorch. This book also gives a straightforward derivation of the backpropagation formulas.Although the book is short, it covers the necessary basics and then moves on to include not only standard feedforward deep networks, but also the basic convolutional neural nets (CNNs), recurrent neural nets (RNNs), autoencoders, and language models (word2vec), among others. Practical issues such as regularization (L1, L2, dropout) and momentum are discussed. This gives the reader a firm foundation for understanding more sophisticated recent (as of early 2019) models such as the Transformer, BERT, or GPT-2.The mathematical notation in this book is much easier to follow than in more advanced texts, and I think it's a perfect place to start.

The book has been succinctly written, where the author touches on an appropriate amount of introductory content and the history behind neural networks. He proceeds to then take the reader through the fundamentals required for allowing them to continue but provides an emphasis from a logical viewpoint.The remainder of the book intuitively covers off all concepts, approaches and variants of algorithms by using visual illustration, coupled with mathematical formulae and python code.The book can serve as a reference guide, as well as a good basis for anybody wishing to get into the space of statistical and machine learning.The python illustrations could have been formatted a little better by the publisher, however, I will not downvote as the content is what draws more importance to the subject.On a separate note, I'd like to add that the 1-star rating from another gentleman is completely and utterly unrealistic, so I will not comment on what possessed them to such a rating.

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Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence (Undergraduate Topics in Computer Science) PDF

Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence (Undergraduate Topics in Computer Science) PDF

Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence (Undergraduate Topics in Computer Science) PDF
Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence (Undergraduate Topics in Computer Science) PDF