Get Free Ebook Ninja Air Fryer Cookbook: Simple, Easy and Delicious Ninja Air Fryer Recipes That Anyone Can Cook

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Ninja Air Fryer Cookbook: Simple, Easy and Delicious Ninja Air Fryer Recipes That Anyone Can Cook

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Product details

Series: air fryer cookbook (Book 1)

Paperback: 85 pages

Publisher: Independently published (November 30, 2018)

Language: English

ISBN-10: 1790587743

ISBN-13: 978-1790587742

Product Dimensions:

7.5 x 0.2 x 9.2 inches

Shipping Weight: 6.4 ounces (View shipping rates and policies)

Average Customer Review:

4.4 out of 5 stars

119 customer reviews

Amazon Best Sellers Rank:

#9,706 in Books (See Top 100 in Books)

Some of the recipes weren’t exactly the type my family likes, but there are quite a few that are. A lot of good information on how to use an air fryer!

I would have given one star but there is some good info in there to use as a reference. The book may show a picture of the Ninja air fryer but the recipes are obviously not written for one. Some directions say to set the temp at temperatures that you cannot be set on the Ninja. Ingredients don't always match the directions. One recipe had green peppers listed in the ingredients but called for chili peppers in the directions. I have tried several recipes, & had to mark up changes & revision for the next time. If you use this book, keep an eye on what your cooking. With the times & temps being off you could easily destroy your meal.

The recipes were for dishes I would never make. Thought it would have the basics like baked potato, home fries, boiled eggs, steak etc. none of them were in this book. I wanted a start at basics AF Ninja cookbook. I will never use this book, not even to refer to.

I would have given I ZERO stars, but amazon doesn’t give that option. This “cookbook” is absolutely useless unless you want “State Fair” greasy “fried” everything.Save your money.

I returned this cookbook because it was obvious upon my first quick review that there are inaccurate recipes in it. A crabcake recipe, for instance, called for making 4 crabcakes from a half cup of crab meat. How is that possible. I felt I couldn't trust it after looking at other recipes.

This fantastic cookbook has different finger-licking fried meals. I found yummiest breakfast, lunch, main dishes, side dishes, snacks and dessert recipes here.

This book has many good recipes; however, the first one I tried did not include an ingredient in the directions. I will look more closely at the other recipes before trying them. The book does have lots of good ideas and is written in a large font which is great.

Works great

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Review

"Desert Storm is a valuable addition to the growing body of knowledge about the Gulf War. Rightly, the authors raise as many questions as they answer, reflecting thoughtful research and thoughtful consideration of what they found. Their reach is broad and genuinely supports understanding of both the political and military themes in the Gulf War." - The Journal of Military History"[W]ell-written, thoroughly documented and, therefore, a must for military historians as well as the general reader with an interest in current affairs." - Military and Naval History Journal

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About the Author

Alberto Bin holds a PhD from the Institut des Hautes Etudes Internationales in Geneva, Switzerland. He is the Deputy Director of the Mediterranean Academy of Diplomatic Studies, University of Malta, and holder of the Chair of Mediterranean Diplomacy and Relations. He is also visiting professor at the Department of Political Studies, University of Catania. His research interests include Italian foreign policy, and issues of security and cooperation in the Mediterranean and Middle East.Richard Hill holds a PhD in statistics from Harvard University and a BS degree in mathematics from the Massachusetts Institute of Technology. He has worked for the National Bureau of Economic Research and other organizations as a statistician and an economic analyst, and has taught at Webster University in Geneva, Switzerland. He has visited the Middle East several times.Archer Jones is Professor Emeritus at North Dakota State University. He also served as director of the Institute for Regional Studies which sponsored research and served as the University's press. He is author of numerous articles on military and economic history, and he jointly authored three award-winning Civil War books. His books include Elements of Military Strategy: An Historical Approach (Praeger Publishers, 1996).

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Product details

Paperback: 304 pages

Publisher: Praeger (December 30, 1998)

Language: English

ISBN-10: 0275963209

ISBN-13: 978-0275963200

Product Dimensions:

6.1 x 0.7 x 9.2 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:

#1,941,525 in Books (See Top 100 in Books)

Most of these will be or winter reading. I can't wait for winter

basis for war strat. quick. superior tech, traing, organization. Excellent leadership. More american service members would have died in traffic/household accidents if they had not been deployed.Big fan of "Shock and Awe"....especially when mixed with "underpromise...overdeliver"

Very well written. Starts a little slow with much preliminarybut fascinating information about the international politicsleading up to the war. After that starts a day by day account of the war and most major battles. I especially liked the manybehind the scenes personal interviews with pilots, Iraqi officers, tank commanders, etc. about their experiences,Many " stories never told" . It was riveting. Very well researched, unbiased & hard to put down.

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Download PDF Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability)

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Book Description

This book enables readers and users to easily identify an appropriate algorithm for their applications and compare novel ideas with existing results. Application areas include pattern recognition, artificial intelligence, information technology, image processing, biology, psychology, and marketing. A valuable tool and reference for applied statisticians; engineers, scientists and applied mathematicians.

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About the Author

Guojun Gan is a Ph.D. candidate in the Department of Mathematics and Statistics at York University, Ontario, Canada.

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Product details

Series: ASA-SIAM Series on Statistics and Applied Probability (Book 20)

Paperback: 184 pages

Publisher: Society for Industrial and Applied Mathematics (May 30, 2007)

Language: English

ISBN-10: 0898716233

ISBN-13: 978-0898716238

Product Dimensions:

6.8 x 1 x 9.7 inches

Shipping Weight: 1.8 pounds (View shipping rates and policies)

Average Customer Review:

4.3 out of 5 stars

3 customer reviews

Amazon Best Sellers Rank:

#1,555,423 in Books (See Top 100 in Books)

This is a useful compendium of a variety of methods of clustering, for a variety of data types, with numerous measures of similarity, and many examples of algorithms. The ultimate emphasis is on the algorithms, even the implementation in MATLAB or C++.However this book is short on useful theoretical frameworks, reflecting more the efforts of practitioners from various fields than that of applied mathematicians, despite the SIAM imprint. There are times when it seems that the authors were just writing quick overviews of different papers, sometimes changing notation, even with typographical errors or other lapses, without trying to unify the different methods by developing a common framework.I developed a new clustering algorithm for a particular application to proportional representation in voting and was surprised that none of the algorithms described in this book encompassed my method. This is despite the fact that most of my concepts have been previously used by others in other contexts. For example, I use fuzzy sets, learned directly from Bezdek many years ago, but not as described by the k-means or c-means formulas presented in chapter 8, even though the k-means centroiding idea is easily generalized to encompass my method.A good general framework for clustering algorithms would be that of optimization theory, with both discrete and continuous aspects. Yet the authors do not appear to be well versed in this theory. For example, instead of using the phrase “objective function” they use “validity indices” and survey only a few specific formulas, rather than describing a framework to give practitioners better guidance for constructing an objective function well suited to the problem at hand. In my case, I wanted clusters (= voting blocks) that are not too small, reasonably compact, with some but not too much overlap permitted, and which include the bulk of the population, permitting some voters to be outside any cluster or at least without full membership in the clusters. I also wanted an objective function with a fairly smooth dependence on the data and on parameters of the algorithm, without sudden jumps. I was able to do this, but this book would not have helped.Another important practical aspect of clustering is not covered at all. Namely, how to handle very large sets of data. In scientific computing a common paradigm is to start with “discretization” – you take continuous or nearly continuous data and first organize it into bundles based on similarity. This is itself a problem of partition-type clustering. But at this stage the emphasis is on speed of processing, not optimality, seeking a radical reduction in problem size with minimal loss of information. How to best do it is very problem dependent, but an obvious place to start is k-means partitioning for a value of k that is fairly large yet still much smaller than the original number of data points. Then apply a more optimal procedure to these k data points. With categorical data, sorting procedures on the categories may be used to get even better discretizations. In my case the data points are ballots where voters rank candidates, so that I can sort ballots by the highest ranked candidates, using k-means to represent the lower rankings by a centroid. Note that the resulting data points have different weights (represent different numbers of voters), meaning that the follow-on algorithm will be for a graph weighted vertices as well as weighted edges (= similarity, such as correlation). However, this framework is not described in the book.Another puzzling omission is the lack of discussion of good methods for initializing iterative algorithms, despite the acknowledgement on p. 164 that k-means is very dependent on the initialization of the center vectors. In my case I simply use a variety of crude techniques to initialize, then build into my iterative solver a procedure than merges strongly overlapping clusters and deletes very small clusters. Then my objective function allows me to rank the results. Thus “quick and dirty” clustering schemes do have an important role, even in the context of more optimal algorithms.In conclusion, this book provides fairly readable snapshots of clustering techniques in action, but would greatly benefit from a more systemic approach.

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