The soft data indicates that you should visit the link for downloading and install then save Good And Simple: Recipes To Eat Well And Thrive, By Jasmine Hemsley You have actually owned the book to review, you have actually positioned this Good And Simple: Recipes To Eat Well And Thrive, By Jasmine Hemsley It is uncomplicated as visiting guide shops, is it? After getting this quick description, with any luck you could download and install one and also begin to read Good And Simple: Recipes To Eat Well And Thrive, By Jasmine Hemsley This book is very easy to read whenever you have the downtime.
Good and Simple: Recipes to Eat Well and Thrive, by Jasmine Hemsley
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Review
“We’re obsessed with Jasmine and Melissa Hemsley’s book Good + Simple because it’s, well, good and simple.” – Harper’s BAZAAR“This adorable duo knows how to make a mean meal and their new grain and refined-sugar free cookbook, Good + Simple, is living proof. Every page is packed with accessible, delicious ideas we love and these food stars have the Euro-following to prove it.” – Chalkboard Mag
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About the Author
JASMINE AND MELISSA HEMSLEY’s London-based family business, HEMSLEY + HEMSLEY, has been the international behind-the-scenes go-to food service for celebrities and those in the health, beauty, and wellness industry since 2010. Focusing on the importance of eating natural, unprocessed foods, Jasmine and Melissa combine ancient eating principles with the latest research on diet and nutrition.
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Product details
Hardcover: 352 pages
Publisher: Clarkson Potter; unabridged edition (April 12, 2016)
Language: English
ISBN-10: 9781101905500
ISBN-13: 978-1101905500
ASIN: 1101905506
Product Dimensions:
7.8 x 1.1 x 10 inches
Shipping Weight: 3.1 pounds (View shipping rates and policies)
Average Customer Review:
4.6 out of 5 stars
38 customer reviews
Amazon Best Sellers Rank:
#252,319 in Books (See Top 100 in Books)
What's your favorite type of recipe? My general food philosophy is that I want something that's quick, easy, and healthy. (If it's relatively inexpensive too, we have ourselves a true winner!) Good and Simple is built upon that philosophy--the recipes are packed with nourishing ingredients and aren't super complicated to make! :] I also really like that they try to use everything so as to lessen waste!Every chapter in Good and Simple includes related recipe ideas and tips and tricks on cooking, storage, on-the-go meals and portability, making use of leftovers, entertaining guests, meal pairing ideas, and more. There are 140 recipes, and each one includes an intro, serving size, ingredient list, instructions, with topping ideas, tips and variations shared wherever applicable. The chapters include:BreakfastSoups and StewsSides and SnacksSandwiches and SaladsFish and MeatVegetable MainsDips, Dressings, Sauces and SpreadsBaking, Desserts and SweetsDrinksAt the end of the book, there are also tips on planning ahead. I've long been a fan of bulk cooking since I don't have time for much else, and there are helpful shopping lists, sample menu plans, how/what to stock up [in] your kitchen, as well as tips on healthy habits to start/maintain, ideas on natural beauty and cleaning products, and how to eat well on the go. Most of the recipes don't call for a whole ton of ingredients, and there are often vegan/vegetarian substitutions available. The food photography in here is also gorgeous (just in case you haven't noticed).I do kinda wish the cover was a little different--the half-book-jacket sometimes catches and makes the book more difficult to close unless I have it just right, but if that's the only thing that I have to complain about, it's a good thing. It's what's inside that counts anyway. :] I definitely think this book would be a valuable one to keep in your arsenal! :] I definitely think this book would be a valuable one to keep in your arsenal! :]Disclaimer: I received this book for free in exchange for an honest review. As always, all thoughts + opinions are mine and mine alone.
I decided to try eating clean and was having a hard time finding a good recipie book to help me pn my way. I tried searching blogs and magazines online and I found some pretty uninspired recipies or was super time consuming and required a lot.of specialty ingredients that were both hard to get and expensive in my small city. I found an article online reccomending another cookbook of theirs and thought that was the cookbook I was buying. I'm so happy to have made that mistake. The food is simple but so good. Clean up is a breeze and the shopping lists and meal plans are so helpful. Its seasonal variations and vegetarian, vegan, and meat options are amazing and easily customizable. The directions are so easy to understand and follow. I am so in love with this book I have been reccomending it loudly and often to everyone.
Great great great recipes. I love watching them on Zing. I had a hard time on there Web site or on there show converting the recipe to cups and table spoons. So it great that all the recipes don't need to be converted. Yea😃there so easy to follow and test great!
Fantastic recipes, using wholesome healthy ingredients to make excellent, creative, and nutritious food.
These recipes are OK, but they are neither quick nor simple. Requires many special ingredients and lots of ingredients. Not very impressed with this book! (Wish I had saved my money and gotten something else)
Well made, sturdy cookbook. Full of yummy recipes that are easy!
Creative and delightful cookbook by two adorable sisters who love food and know a lot about how to eat in a healthy manner, deliciously.
Great recipes and healthy to boot.
I watch their cooking show on Z living and I think they are just terrific
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Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)
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About the Author
Cameron Davidson-Pilon has seen many fields of applied mathematics, from evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His main contributions to the open-source community include Bayesian Methods for Hackers and lifelines. Cameron was raised in Guelph, Ontario, but was educated at the University of Waterloo and Independent University of Moscow. He currently lives in Ottawa, Ontario, working with the online commerce leader Shopify.
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Product details
Series: Addison-Wesley Data & Analytics
Paperback: 256 pages
Publisher: Addison-Wesley Professional; 1 edition (October 12, 2015)
Language: English
ISBN-10: 9780133902839
ISBN-13: 978-0133902839
ASIN: 0133902838
Product Dimensions:
6.9 x 0.5 x 8.9 inches
Shipping Weight: 9.1 ounces (View shipping rates and policies)
Average Customer Review:
4.0 out of 5 stars
20 customer reviews
Amazon Best Sellers Rank:
#51,436 in Books (See Top 100 in Books)
This book, along with Think Stats: Exploratory Data Analysis,Think Bayes: Bayesian Statistics in Python, and Bayes' Rule: A Tutorial Introduction to Bayesian Analysis, improved my understanding for the motivations, applications, and challenges in Bayesian statistics and probabilistic programming. For reference, my background is in computer science, viewed mostly from a software engineering perspectiveWhen you consider that this book is offered for free on Github, you're already getting a lot of value for free. If you're interested in seeing the exercise solutions (there are only a handful) or the additional chapter on A/B testing, then $17 for the e-book is a fair price.My only complaint is that I wish there were more exercises to test the reader along the way. You can re-implement many of the examples yourself, but having a few more questions, especially in the later chapters would be helpful for validating understanding.
There's a lot in here and, clearly, the author knows what he's talking about. However, it helps if you already have a background in statistics. Specifically, if you already know about prior and posterior probabilities you will have an easier time understanding this book. Installing PyMC under Windows can be challenging. It's not as simple as "pip install pymc". You might have to install the GCC with Windows specific libraries. Also, there might be an error on pg. 182 in Chapt. 6 - Getting our Priorities Straight (good sense of humour). The analysis that "TSLA is a strong performer" might be incorrect. I tried emailing the author but got no response on this.All that being said, this is a good book with a lot of information in just over 200 pages.
Great open source book, hard copy was definitely worth the buy.
This is a very informative guide to thinking about programming from a Bayesian point of view. The word hackers in the title may be misleading to some, but if you think about hackers as explorers, builders and people who like to figure out how things, work, this is an approach to reason and thinking that can open new doors to a "hacker." The math can get a little funky at times, but that's a problem for you just power through and keep reading because the math is there to help illustrate the approaches and isn't specifically required for all of the exercises.
Good book; an updated pymc3 version is available online (for free), but I have found pymc (pymc2) is better for learning MCMC. Recommended.
I really like the book, but want to bring up two things neglected by its author.One is acknowledgments. "Bayesian Methods For Hackers" did not appear in a vacuum. I would like to see a hat tip to the creators of PyMC, and at least a mention of BUGS, the still-very-much-alive software which brought Bayesian methods to academic masses and inspired MCMC-engine projects like PyMC. Then there are PyMC's cousins JAGS and STAN - these can be familiar to the R crowd - and people who wrote popular books on Bayesian analysis, such as John Kruschke, the author of "Doing Bayesian Data Analysis". (I should also mention James Stone, with his "Bayes' Rule". "Bayesian Modeling Using WinBUGS" by Ioannis Ntzoufras could have had more impact, but its publisher, Wiley, sabotaged the book with greedy pricing and no-frills presentation. Looking into the near future - I see that Manning have their own "probabilistic programming" book in the works, by Avi Pfeiffer). Naming those people, programs and books would provide useful pointers to aspiring "Bayesian hackers".The second reservation is about editorial effort. The very first page (when it used "ascribe" instead of "subscribe") told me that the manuscript had not been proof-read. As I went through the book, I found more unpolished passages, and a handful of lines capable of triggering a facepalm by a statistics professor. Now, this is not a book for statistics professors - they don't tend to use Python, for starters, while BMH assumes that you have Python installed - and the practical question is whether these issues are going to seriously frustrate or mislead the average reader. My answer is "not really". Chapter 3, for example, is dodgy, yet realistically a "hacker" can just skip or skim it. (Kudos on page 77, by the way - simple and effective). Classical, non-Bayesian statistics misunderstood and unfairly maligned? Only a stats prof will care. I think you can get through smaller slip-ups. For example, on page 15, you can quickly figure out that "lambda_" is a vector - unlike "lambda_1" and "lambda_2", which are scalar parameters - and understand what it's for, even though the author is just telling you that it's a function. Or, on page 142, you can figure out what loss function is implemented in stock_loss(), even though the text does not tell you what it is. Page 42 asks "Why is the gamma axis greater than 1?" You realize that it's Y, not gamma, and the question is asking whether the PDF of a continuous distribution can be above 1, and move on.I find these complaints easy to overlook. Thinking "big picture", I see the first-ever accessible, engaging, visually appealing, practical, inexpensive introduction to Bayesian methods. Echoing - now in a positive way - the beginning of my review, there is a feeling of continuity, of a long-running collective project being advanced. First, a user-friendly MCMC engine is built by the BUGS team. Then, the PyMC team incorporates their MCMC engine into a programming language popular with the "data science" crowd, sprinkling Pythonesque syntax sugar over the BUGS model definition language. Finally, after a few years, a good book on PyMC shows up. Bayesian methods are now accessible to a broad, non-academic audience.American Statistical Association - give this man a medal.
No problems
A brilliant and practical introduction to these methods. It's been a vital entry point for me into the field.
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