Senin, 12 Maret 2018

PDF Ebook , by Jennifer Lopez

PDF Ebook , by Jennifer Lopez

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, by Jennifer Lopez

, by Jennifer Lopez


, by Jennifer Lopez


PDF Ebook , by Jennifer Lopez

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, by Jennifer Lopez

Product details

File Size: 74625 KB

Print Length: 266 pages

Page Numbers Source ISBN: 0451468694

Publisher: Celebra (November 4, 2014)

Publication Date: November 4, 2014

Sold by: Penguin Group (USA) LLC

Language: English

ASIN: B00KWFZ7GA

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Amazon Best Sellers Rank:

#73,584 Paid in Kindle Store (See Top 100 Paid in Kindle Store)

I really enjoyed this book and found that I had aha moments and revelations come to me while reading Jennifer's experiences. Like her, I look successful to the outside world and seem tough. I have a flourishing career, a nice home and car, I travel and I have many friends and male suitors. And like Jennifer I have made many mistakes in love and never realized that I have allowed disrespect and neglect and poor treatment because I was always putting the man first- even when it was detrimental to me. I also have allowed my older sister's and parents' judgments to impact my self worth and how I beat myself up when I make mistakes. It dawned on me as I was finishing the book that I really like who I am and I am proud of my heart, my kindness and the way I connect with and help people. I am also able to see that I made bad decisions with men because I wanted to please my family and be married and have children as they expected. I know that things for me will no longer be the same. I am having a much needed conservation with my parents and sister and I am no longer dating men from a place of fear. I can sincerely say that I love myself, the way I am right now and today. And whomever doesn't love me and respect me for me, is not worthy of my love, friendship and being in my life. I encourage women to read this book and to be reminded that we matter, and we need to put ourselves and our needs first.

Both my wife and I read this introspective autobiography by Jennifer Lopez, a woman we have long admired. At times eye-watering, we must understand that fame and fortune really doesn't change what we still need out of life.

Jennifer Lopez has always been my favorite style icon and celebrity. She single handedly transformed the beauty world with her large derrière in the 1990s. Before her nothing but emancipated waif looking white women symbolized "beauty." As a Latina with a body like J Lo I am forever indebted to her for making the world realize how gorgeous women of color are. With that said I love J Lo so this may be a bias review.Everything J Lo touches turns into gold. This book is no exception.Everyone complaining about how vague this book was clearly did not read the introduction in which Lopez proclaims this is NOT a tell all book!This book was meant to explain J Lo's journey and transformation throughout the 'Dance Again' world tour. 'True Love' describes her spiritual transformation and does NOT divulge about past lovers.It is a book that makes you realizes you must love yourself before you can love anyone else.The one thing that really stood out to me was when she defined what integrity meant to her. Integrity according to Lopez is having respect for yourself and not allowing someone to treat you badly. If you allow this mistreatment you are betraying yourself. When I read this section it was as though a light bulb went off. As a woman I have put up with crap for way too long with undeserving men and could totally relate to Jennifer on this level.With all the diamonds, Bentley's, private jets, and millions of dollars Jennifer is simply a regular woman who admittedly had low self esteem and held on to long to jerks who treated her badly because she just didn't want to be alone. I always wondered why this attractive, powerful, successful woman could never be alone? Why did she always jump from one relationship to another? I got the answer to those questions by reading this book. This book humanizes Lopez and made me understand and love her even more.It's a real page turner and a must read. I read the entire book in one day!

While not a bad book, this book is really only for true Jennifer Lopez fans. Those of us who are once in a while viewers of her on TV, didn't get much out of this book.While the photography is stunning, the book merely reiterates to women what so many other books of this ilk do. Love Yourself and Have Self-Esteem and it Will be Returned In Kind. Now this is a good philosophy, but how many books can we read on this topic? So if you are a huge Jo-Lo fan, read it, but if you are a woman dealing with self-esteem issues, a broken relationship, or anything of that nature, I do believe you will best serve your own psyche by seeking therapy rather than all these "How I Built My Self-Esteem" books that appear to proliferate these days.

Her story helps one understand Jennifer. She comes off as such a strong,confident woman. In the beginning it was hard to understand her feelings of never feeling good enough. As a Latin woman I understand her. She is such a loving parent. That her children come first in her life says so much about her close connection with her own Mother. I applaud that she tells other females to love yourself and treat yourself good. Dancing is so good for the body and soul,as well. I made it a point to go dancing two days after I finished her story. She reminded me to love myself and do what makes me happiest in life. Good for you, Jenn. As another Puerto Rican woman,and dancer, I am so happy I decided to read this book because it caused me to remember to be the best I can be, dance because that is when I'm happiest and get back out there and live. Gracias por la musica.

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Sabtu, 10 Maret 2018

Download Ebook Color Mixing Recipes for Portraits: More than 500 Color Combinations for Skin, Eyes, Lips & Hair

Download Ebook Color Mixing Recipes for Portraits: More than 500 Color Combinations for Skin, Eyes, Lips & Hair

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Color Mixing Recipes for Portraits: More than 500 Color Combinations for Skin, Eyes, Lips & Hair

Color Mixing Recipes for Portraits: More than 500 Color Combinations for Skin, Eyes, Lips & Hair


Color Mixing Recipes for Portraits: More than 500 Color Combinations for Skin, Eyes, Lips & Hair


Download Ebook Color Mixing Recipes for Portraits: More than 500 Color Combinations for Skin, Eyes, Lips & Hair

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Color Mixing Recipes for Portraits: More than 500 Color Combinations for Skin, Eyes, Lips & Hair

About the Author

William F. Powel is an internationally recognized artist and one of America's foremost colorists. He is the author of many art instructions books, including The Art of Watercolor, Color Mixing Recipes for Watercolor, Color Mixing Recipes for Portraits, and Drawing Made Easy: Dynamic Composition. A native of Huntington, West Virginia, Bill studied at the Art Student's Career School in New York; Harrow Technical College in Harrow, England; and the Louvre Free School of Art in Paris, France. He has been professionally involved in fine art, commercial art, and technical illustrations for more than 45 years. His experience as an art instructor includes oil, watercolor, acrylic, colored pencil, and pastel—with subjects ranging from landscapes to portraits and wildlife. As a renowned master of color, Bill has conducted numerous "Color Mixing and Theory" workshops in various cities throughout the US. Additionally, he has performed as an art consultant for national space programs and for several artist's paint manufacturers. Bill's work has also included the creation of background sets for films, model making, animated cartoons, and animated films for computer mockup programs. He also produces instructional painting, color mixing, and drawing art videos.

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Product details

Series: Color Mixing Recipes

Spiral-bound: 48 pages

Publisher: Walter Foster Publishing; Spiral edition (November 1, 2006)

Language: English

ISBN-10: 1560109904

ISBN-13: 978-1560109907

Product Dimensions:

6.8 x 0.6 x 9.9 inches

Shipping Weight: 12.8 ounces (View shipping rates and policies)

Average Customer Review:

4.5 out of 5 stars

222 customer reviews

Amazon Best Sellers Rank:

#21,323 in Books (See Top 100 in Books)

The color palettes and formulas are useful as a starting point; however, there are few examples of the colors used in an actual portrait to give them context. Having more illustrations using the formulas would have been very helpful.The racial/ethnic categories show a very limited understanding of what people of color actually look like. For instance, the author states that he has more Caucasian base-colors mixed than any other, “because Caucasian skin tones have the largest range.”The largest range? Really?He has a category for Latino skin tones, and a few options within that category. But Latinos are not a distinct race; they are not all olive, or light brown. They are a group composed of people ranging from white to indigenous to African, with much admixture. Likewise, there are a few brown and red color options for black people, but black people range in color from very pale to very dark; like Latinos, there is a good amount of racial admixture within black populations. You could say the same for Asians, perhaps not the mixture, but there is a diversity of skin tones, and far more than the few shown here. India, alone, has people who range from very light to very dark, many with undertones that are not commonly found elsewhere. This is not just an academic objection, but a practical one. The categories are simply insufficient. So, if you are painting people who are not strictly Caucasian, just ignore the arbitrary classifications, and use the swatches to find colors that may suit.I found that red/pinkish/orange-based skin tones predominate, and it was harder to find representations of yellow/neutral/olive undertones (this is an issue with cosmetic foundations too, incidentally.)The formulas for hair colors were very useful. The section on watercolor is rather small (pages 38-43), so another resource may be necessary. Overall, an interesting book, which works for many. Just not what I needed.

Wow, white is not white and black is not black. So many shades and colors to make them both!I am learning about skin tones and my makeup artist instructor uses this book to teach color theory for Makeup Artist.

As an art teacher I suggested this book to several of my students. I like the spiral binding and the clear way it is laid out for easy reference. If is broken up into sections, so if you want a quick eye color its is easy to find. There are al lot of different ways to make and mix colors with acrylics, and just like cooking, getting a different perspective on color is helpful, The pages have a plastic coating that can be wiped off if used in the studio. In the back of the book there is a reusable chart that is gridded for laying out a particular color to get the right ratios of paint. This is a well though out book.Recently one of my favorite Acrylic paint companies offered a contest to artists for a color they mix, that might later be sold by this company. We all have different ways of getting colors, and it is interesting that even paint companies recognize that mixing custom colors is an art and there are a lot of different to go about it.

It came in as described but it is quite hard to read and understand, took longer to make colors using this book than watching a video. The only good thing Is that it gives you name and photo of the colors Even though the chart wasn't helpful.

I'm a portrait artist, and whether I'm following a specific picture, going off different references, or just painting from my head I love having this reference. After going through some color theory and mixing techniques, it gives some basic color recipes for skin tone bases and then adds to them for different skin tones. It classifies based on the nationality and tone of your subject, then gives you a page of recipes for that skin type based on the lighting of your subject. I mainly use it for the skin recipes, but it also has some eye, lip and hair color recipes. It mainly supports oil paint, but also has a helpful section on watercolor and a conversion chart for acrylic. I'd recommend it for anyone who is into doing portraits.

Very helpful, but some of the formulas need to be checked, because some of the colors dont match the labels that they have. had to improvise to get some of the shades i want. So its not 100% accurate but it gives you a rough idea about the shades that you want.

JUST STOP PLAYING AROUND. IF YOU WANT TO PAINT SKIN OF ANY COLOR OR TONE YOU NEED THIS BOOK.

This book has increased my portrait painting productivity 10-fold. I tell everyone that it's the cheat-sheet to portraiture--it really is! It's wonderful that it has recipes for so many different skin tones, and it really breaks down the different shades of the planes of the face.While this book doesn't do all the work for you, it definitely helps to ensure that your palette remains consistent from start to finish. I've found in the past that color-matching whatever I'd put on my canvas in my last session takes up an enormous amount of time, and this book really takes the guess work out of that step.I'd recommend this book to beginners and professionals alike.

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Color Mixing Recipes for Portraits: More than 500 Color Combinations for Skin, Eyes, Lips & Hair PDF

Color Mixing Recipes for Portraits: More than 500 Color Combinations for Skin, Eyes, Lips & Hair PDF

Color Mixing Recipes for Portraits: More than 500 Color Combinations for Skin, Eyes, Lips & Hair PDF
Color Mixing Recipes for Portraits: More than 500 Color Combinations for Skin, Eyes, Lips & Hair PDF

Senin, 05 Maret 2018

PDF Download Doing Data Science: Straight Talk from the Frontline

PDF Download Doing Data Science: Straight Talk from the Frontline

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Doing Data Science: Straight Talk from the Frontline

Doing Data Science: Straight Talk from the Frontline


Doing Data Science: Straight Talk from the Frontline


PDF Download Doing Data Science: Straight Talk from the Frontline

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Doing Data Science: Straight Talk from the Frontline

Review

"Every once in a while a single book comes to crystallize a new discipline. If books still have this power in the era of electronic media, "Doing Data Science: Straight Talk from the Frontline"Â by Rachel Schutt and Cathy O'Neil: O'Reilly, 2013 might just be the book that defines data science."Â -- Joseph RickertRevolutions Blog

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About the Author

Cathy O’Neil earned a Ph.D. in math from Harvard, was postdoc at the MIT math department, and a professor at Barnard College where she published a number of research papers in arithmetic algebraic geometry. She then chucked it and switched over to the private sector. She worked as a quant for the hedge fund D.E. Shaw in the middle of the credit crisis, and then for RiskMetrics, a risk software company that assesses risk for the holdings of hedge funds and banks. She is currently a data scientist on the New York start-up scene, writes a blog at mathbabe.org, and is involved with Occupy Wall Street.Rachel Schutt is the Senior Vice President for Data Science at News Corp. She earned a PhD in Statistics from Columbia University, and was a statistician at Google Research for several years. She is an adjunct professor in Columbia’s Department of Statistics and a founding member of the Education Committee for the Institute for Data Sciences and Engineering at Columbia. She holds several pending patents based on her work at Google, where she helped build user-facing products by prototyping algorithms and building models to understand user behavior. She has a master's degree in mathematics from NYU, and a master's degree in Engineering-Economic Systems and Operations Research from Stanford University. Her undergraduate degree is in Honors Mathematics from the University of Michigan.

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Product details

Paperback: 408 pages

Publisher: O'Reilly Media; 1 edition (November 3, 2013)

Language: English

ISBN-10: 1449358659

ISBN-13: 978-1449358655

Product Dimensions:

6 x 0.8 x 9 inches

Shipping Weight: 1.3 pounds (View shipping rates and policies)

Average Customer Review:

3.8 out of 5 stars

61 customer reviews

Amazon Best Sellers Rank:

#94,833 in Books (See Top 100 in Books)

Not for the general reader.This is a somewhat difficult book about an emerging discipline of Data Science by a pre-eminent practitioner. But it is a necessary book to explain what this discipline encompasses. It is still too early to be absorbed into popular culture.This is really a text book which requires the reader to do the exercises so that the reader can grasp the topics. This is what makes the book difficult for the general reader. One has to be sufficiently competent enough with computers, programming, and statistics in order to appreciate the evolution of Data Science.Despite its difficulty, this book is a necessary introduction for the general public to understand the threat to democratic society from the misuse of Data Science. O'Neil explains this further in her call-to-arms (Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy).Unfortunately, public culture still regards computers as magic. Say the right words, and the answer magically appears. Data Science is far more than just using computers -- Data Science involves the collection, analysis, cleaning, and presentation of enormous amounts of data.

Book review - Doing Data Science by O'Neil and Schutt, O'Reilly Media.More breadth than depthWhat is data science? The book Doing Data Science not only explains what data science is but also provides a broad overview of methods and techniques that one must master in order to call one self a data scientist. The book is based on a course about data science given at Columbia University. However it is not to be considered as a text book about data science but more as a broad introduction to a number of topics in data science.In the spring of 2013 I followed two Coursera courses. One about the statistical programming language R and one on Data Analysis. I had for some time been looking for a book that could be used as a follow-up reading on topics in data science. This was the reason I picked up "Doing Data Science".The book begins with a chapter about what data science is all about is followed by four chapters on topics like statistical inference, explanatory data analysis, various machine learning algorithms, linear and logistic regression, and Naive Bayes. I have a background in both mathematics and statistics and I was able to understand these chapters but the material is covered in such broad terms that I find it hard to believe that a newcomer to this topics will understand or gain much knowledge from reading these chapters. Basic math is presented about the models but without some kind of detailed explanation one cannot develop any deeper intuition for the approach explained.The best parts of the book is definitely chapter 6 to 8 and 10. In here we find interesting discussion about coverage of data science applied to financial modeling, extracting information from data, and social networks. I really enjoyed the examination of time stamped data, the Kaggle Model, feature selection, and case-attribute data versus social network data. The math behind these topics was however once again explained quite superficial. Centrality measures is central to social network analysis but it is very hard to develop intuition for there measures without a more detailed explanation about the underlying math. These chapters contains lots of useful resources for finding additional information about the discussed topics.Data visualization is an integral part of data science for communication results. Beginners in the field of data science needs concrete and easy to follow instruction on how to get started with visualization. Unfortunately the book focuses more on the use of data visualization in modern art projects. The content is simply to abstract for beginners to learn about the usage of visualization in data science.When I was browsing the book before actual buying it I was kind thrilled to see that it covered topics like causality and epidemiology. Topics that I did not found covered in any other book about data science. However the chapter about epidemiology is not about using data science in epidemiology but 'just' about using data science to evaluate the methods used in epidemiology. Likewise there seems to be no link between data science and causality. I later discovered that the authors used an entire blog post ([...] to explain why causality was part of the university course underlying the book. This material or parts of it should have made it into the book. I am still not convinced that causality is a topic in data science.There are several examples in which the book assumes the reader to have knowledge of US government structure and organizations. Examples include page 292 when discussing US health care databases and page 298 where FDA is mentioned without further introduction or explanation about what FDA is.A book than contains programming examples should always make the code accessible to download. Typing in the code yourself is simply waste of time. It is possible to download some of the datasets used in the book through GitHub. But the code does not seem to be available. I also own the electronic version of the book and I tried to copy-paste some of the examples from the e-book but there are several examples of code that hasn't been proof written or tested prior to publication. The sample code misses references to required R libraries or refers to computer folder structures on some local Columbia University computer. The companion datasets that can be downloaded on GitHub consists of a number of Excel files. The R sample code uses the gdata package to load these Excel files into R for further analysis. It took be quite some time to figure out why this process didn't work on a Windows computer. The gdata package requires Perl to be installed on the computer and this is not default software on Windows. In my opinion one should always publish data in a simple format, e.g. csv files and definitely not proprietary formats like xls for Excel files.Data Science is both science and a lot of practical experience. I guess the title of the book Doing Data Science tries to capture that. You need to do data science in order to learn it. The covered topics are interesting but the material is more breadth than depth. Luckily there are lots of useful links and resources to additional materials. Personally I would prefer more details about the actual data science topics like e.g. extracting meaning from data and social network analysis and less focus on math. The book already requires some knowledge of math, statistics and programming, so why not presume that the reader has the background knowledge and dive straight into the data science discussions.I really like the idea about having a lot of different people present various topics in data science and the book is well written and contains lots of useful resources for further studies of data science. I will recommend to book to people new to the subject but be aware of the fact that source code is not available and that is a major drawback.Disclosure: I review for the O'Reilly Reader Review Program and I want to be transparent about my reviews so you should know that I received a free copy of this ebooks in exchange of my review.

We are in 2013, no one knows what the heck is “data science” but there are plenty of jobs out there. Here is a course for you, future data rockstar. Rachel and Cathy invited a bunch of people from industry to talk about a wide range of topics: from statistical inference to data visualization with plenty of algorithms, R code and data sets. This is therefore a hands on course with good theoretical depth. And the take away message is: if the world is a bunch of data pipes, don't just be a plumber. Rather behave like the freaking Mario Bros!

It's an OK book. It has some nice parts, although you don't learn data science from it. It's like a compendium of blog posts about where data science is used. There are some great articles on it, from interviewees, however, it lacks something.

The books is fairly dated, a lot of the exercises have broken links/outdated code.

Reading this book, you feel like you are talking to the authors. With 10 years of experiences in data analytics, I can still learn so much from the authors' way of explaining Big data to novice. I learnt from it and used it successfully in my work. As the expert within the organization, you need someone like the author who can "coach" you. Recommend to any Lead Data Scientists in Real World

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Doing Data Science: Straight Talk from the Frontline PDF

Doing Data Science: Straight Talk from the Frontline PDF

Doing Data Science: Straight Talk from the Frontline PDF
Doing Data Science: Straight Talk from the Frontline PDF