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Tuesday, May 21, 2019

Science History: Einstein’s mathematician | Mathematics - Cosmos

Emmy Noether overcame sexism and antisemitism to become a towering mathematician – and Einstein’s friend. Jeff Glorfeld, freelance journalist based in California, US. reports.

Emmy Noether, photographed in about 1930.
Photo: Pictorial Parade /Getty Images
Amalie Emmy Noether was born on 23 March 1882, in the Bavarian city of Erlangen.

Her father, Max Noether, was called “one of the finest mathematicians of the nineteenth century” by Leon Lederman and Christopher Hill in their book Symmetry and the Beautiful Universe, and she was to follow in his footsteps.

A story in journal Science News on 23 June 2018 carried the headline: “In her short life, mathematician Emmy Noether changed the face of physics”.

As with so many women in science, however, it was no easy road.

Prevented from formally studying mathematics at university, for the simple reason that she was female, Noether instead went to a general finishing school and in 1900 was certified to teach English and French.

She was later allowed to audit classes in mathematics at the University of Erlangen-Nuremberg, where her father taught, eventually earning an undergraduate degree...

In 1918 Noether published her work, of which American theoretical physicist Frank Wilczek, of the Massachusetts Institute of Technology, said: “That theorem has been a guiding star to twentieth and twenty-first century physics.”
Read more...  

Related link  
Meet mathematician Emmy Noether, mother of the most beautiful theorem in the world.   

Source: Cosmos

Liberty Vittert: What’s your actual chance of getting a mosquito bite? A statistician crunches the numbers | Editor's Picks - Fox News

Photo: Liberty Vittert
It’s time for my annual public service announcement and this year it's on mosquitoes, according to Liberty Vittert, professor of the Practice of Data Science at the Olin Business School at Washington University in St. Louis and an ambassador for the Royal Statistical Society.

Hot and humid weather brings out those pesky mosquitoes
Now while I’m sure there is some ecosystem reason for their existence, if I could kill every single mosquito within a square mile of myself at any given time, I would.

My mother always used to try to make me feel better by saying, “My blood is sweet” as I was crying and manically itching the swollen, red, itchy as all get-up bites that magically appeared all over my body after a warm summer’s night spent outside.

Since mosquitoes come out in the spring and summer, a lot of scientists predicted that a very cold winter would significantly decrease the mosquito’s population but it might actually seriously increase this summer since mosquitoes are more resilient than their natural predators, such as bats and birds, to the cold.

So let’s look at the numbers to get ready.

First off, what are your actual chances of getting mosquito bites?...

There are statistically significantly more mosquitoes found at an increasing height from 3-12 feet so if you’re tall, maybe slouch a little? Research shows that mosquitoes demonstrate a preference for women with a larger BMI. The hypothesis was that larger women provide a more substantial visual target as well as greater amounts of heat, moisture, and carbon dioxide. I’m not sure if the statistics really hold up to that one, but maybe my momma was wrong and my own blood isn’t sweet but really I just need to lose a couple of lbs.
Read more... 

Source: Fox News

The 42 New Skills You Can Now Learn on LinkedIn Learning | New Courses - LinkedIn Learning

Each week presents a new opportunity for you and your team to learn the skills necessary to take on the next big challenge, reports Paul Petrone, Editor - LinkedIn Learning.

Photo:  Learning Blog - LinkedIn Learning
And, at LinkedIn Learning, we want to do everything we can to help make that happen.

So, each week, we add to our 14,000+ course library. And this past week was no different, as we added 42 new courses covering everything from project management to cloud development to the 10 stories every leader should tell.

The new courses now available on LinkedIn Learning are:
Read more...

Additional resources 
Want to see what else we offer?    
View all of LinkedIn Learning's 13,000+ courses today.

Source: LinkedIn Learning 

Sunday, May 19, 2019

‘Books and Barbers’ combines learning and mentoring | WTVQ

Alexus Larson, multi-media journalist reports, It might not seem like books and barbers would go together, but at Prince Cuts Barbershop it’s the perfect pair.

Photo: Screenshot from Books and Barbers Video
An elementary school teacher thought of the books and barbers idea.

He noticed some students didn’t have a good male role model in their life and he wanted to change that.

“I’ve always wanted to start up a program just to have support for kids,” said Simon Vanderpool, elementary school teacher.

It didn’t take long for books and barbers to be in business...

Once kids make it to the barbershop, they get to pick out a book they want to read to the barber.

Kids get to keep the book and get barber shop will give them three dollars and sticker on their way out.
Read more... 

Source: WTVQ

Bookstore and restaurant ‘Bad Animal Books’ opens Wednesday downtown | Lifestyle - Santa Cruz Sentinel

Elaine Ingalls, News Reporter- Santa Cruz Sentinel suggests, Co-owners aim for a Dionysian experience complete with wine, food and books.

Andrew Sivak and Jess LoPrete are reflected in a light fixture at Bad Animal Books, their new full-service restaurant and independent bookstore on Cedar Street in downtown Santa Cruz that opens Wednesday.
Photo: Shmuel Thaler — Santa Cruz Sentinel
In a world where a Wi-Fi password is one of the first thing a store customer asks for, the new downtown Santa Cruz bookstore Bad Animal Books is going for a Dionysian “pleasure experience” with wine, California-French cuisine, antiquarian books — and no Wi-Fi.

“In the digital age, we think it’s really important to rediscover respect for the book as a physical object and something beautiful that deserves to be preserved and valued for an object,” said co-owner of Bad Animal Jessica LoPrete.

Co-owners and residents of Bonny Doon, Jessica LoPrete and Andrew Sivak met when LoPrete was on the high school debate team and Sivak was her coach. They reconnected at Claremont McKenna College when LoPrete was studying philosophy as an undergrad and Sivak a Master’s degree in cultural studies. With a shared love for entertaining, good wine and books, they became business partners and opened a combined bookshop and restaurant.

Bad Animal Books will primarily sell used books, but will also offer new material. Customers won’t experience buyer’s remorse, according to Sivak, because the books will be priced to beat the internet. The store will also buy books from the public for cash or trade...

Todd Parker, former sous chef at Manresa in Los Gatos, and other members of the kitchen staff will prepare classic French dishes with a California twist, such as rabbit pâté, rye Parisian gnocchi, mussels with fava beans and a French caramel tart. Ingredients are local, from farms and farmers markets within 100 miles of Santa Cruz. Sivak said the dishes are wine-centric and meant to be shared. The natural wine the store serves is on the wild side: it’s fresher, brighter and more expressive, according to LoPrete. They are low intervention wines made by small production farmers using organic and other methods with little additives, she said. The bar will also carry beer, cider, and a small selection of nonalcoholic beverages.

With a focus on the humanities, a bar and restaurant and competing prices, LoPrete and Sivak believe they will stand out. The bookstore will sell classic and modern literature, philosophy, memoir, art history, theology and more. Inventory is from buying people’s libraries, library sales, thrift and antique shops and from Logos. 
Read more...

Source: Santa Cruz Sentinel

10 New Books We Recommend This Week | Book Review - New York Times

Follow on Twitter as @GregoryCowles
Suggested reading from critics and editors at The New York Times by Gregory Cowles, Senior Editor, Books. 

People are, like, complicated, you know? I am large, the poet wrote; I contain multitudes. Sometimes it seems as if all of literature exists just to drive home that point, which can be vexing (when it applies to our loved ones) or reassuring (when it applies to our own messy selves). Either way, the complexity of humans underlies a whole lot of relationships and therapy sessions — and books, which are kind of our deal around here. This week we recommend George Packer’s biography of Richard Holbrooke, as complicated a human as ever served in the State Department, along with Aaron Bobrow-Strain’s account of an undocumented Mexican immigrant (she’s complicated) and, speaking of therapy, the analyst Lori Gottlieb’s reflections on her patients and her own time on the couch. There are also a few novels, a collection of Gabriel García Márquez’s journalism and a powerful look at the pervasive problem of domestic violence.
Read more... 

Source: New York Times    

Elif Shafak’s 10 Favorite Books | One Grand Books - Vulture

Bookseller One Grand Books has asked celebrities to name the ten titles they’d take to a desert island, and they’ve shared the results with Vulture. Below is novelist Elif Safak’s list.

Check out Elif Shafak’s ten favorite books.

Elif Shafak, the most widely read female novelist in Turkey, has published 17 books, including the bestselling novels The Bastard of Istanbul, The Forty Rules of Love, and Three Daughters of Eve.
Read more...

Source: Vulture

Houston book events: May 19-25 | Books - Houston Chronicle

Put these Houston book events on your calendar: May 19-25.

Sujata Massey:
Will sign and discuss “The Satapur Moonstone,” 6:30 p.m., Murder By The Book, 2342 Bissonnet; 713-524-8597 or murderbooks.com.

Rodrigo Hasbun:
Will sign and discuss “Las Palabras,” 7 p.m., Brazos Bookstore, 2421 Bissonnet; 713-523-0701 or
brazosbookstore.com.

TUESDAY
Gray Malin: Will sign and discuss “Gray Malin: Italy,” 6-8 p.m., Biscuit Home, 1614 Westheimer; graymalin.com.

Celeste Ng: Will sign and discuss “Little Fires Everywhere,” 7 p.m., tickets $17, include a paperback copy of the book, St. Paul’s United Methodist
Church, 5501 Main;
brazosbookstore.com.

AI vs. Machine Learning vs. Deep Learning | Artificial Intelligence - Datamation

Deep learning is a subset of machine learning, which is a subset of artificial intelligence. Each of these emerging technologies is reshaping IT across virtually all sectors, says Cynthia Harvey, Writer and Editor.

AI, machine learning and deep learning are each interrelated, with deep learning nested within ML, which in turn is part of the larger discipline of AI.
Since before the dawn of the computer age, scientists have been captivated by the idea of creating machines that could behave like humans. But only in the last decade has technology enabled some forms of artificial intelligence (AI) to become a reality.

Interest in putting AI to work has skyrocketed, with burgeoning array of AI use cases. Many surveys have found upwards of 90 percent of enterprises are either already using AI in their operations today or plan to in the near future.

Eager to capitalize on this trend, software vendors – both established AI companies and AI startups – have rushed to bring AI capabilities to market. Among vendors selling big data analytics and data science tools, two types of artificial intelligence have become particularly popular: machine learning and deep learning...

Artificial Intelligence 'Contains' Machine Learning and Deep Learning 
Computers excel at mathematics and logical reasoning, but they struggle to master other tasks that humans can perform quite naturally.

For example, human babies learn to recognize and name objects when they are only a few months old, but until recently, machines have found it very difficult to identify items in pictures. While any toddler can easily tell a cat from a dog from a goat, computers find that task much more difficult. In fact, captcha services sometimes use exactly that type of question to make sure that a particular user is a human and not a bot.

In the 1950s, scientists began discussing ways to give machines the ability to "think" like humans. The phrase "artificial intelligence" entered the lexicon in 1956, when John McCarthy organized a conference on the topic.
Read more...

Source: Datamation

Machine learning explained | Machine Learning - InfoWorld

Martin Heller, contributing editor and reviewer for InfoWorld explains, Machine learning systems create models from data. Because they learn from experience, you can improve their performance with training. 

Photo:Thinkstock
What is machine learning? 
Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data. Unlike a system that performs a task by following explicit rules, a machine learning system learns from experience. Whereas a rule-based system will perform a task the same way every time (for better or worse), the performance of a machine learning system can be improved through training, by exposing the algorithm to more data.

Machine learning algorithms are often divided into supervised (the training data are tagged with the answers) and unsupervised (any labels that may exist are not shown to the training algorithm). Supervised machine learning problems are further divided into classification (predicting non-numeric answers, such as the probability of a missed mortgage payment) and regression (predicting numeric answers, such as the number of widgets that will sell next month in your Manhattan store).

Unsupervised learning is further divided into clustering (finding groups of similar objects, such as running shoes, walking shoes, and dress shoes), association (finding common sequences of objects, such as coffee and cream), and dimensionality reduction (projection, feature selection, and feature extraction)...

Neural networks and deep learning 
Neural networks were inspired by the architecture of the biological visual cortex. Deep learning is a set of techniques for learning in neural networks that involves a large number of “hidden” layers to identify features. Hidden layers come between the input and output layers. Each layer is made up of artificial neurons, often with sigmoid or ReLU (Rectified Linear Unit) activation functions.

In a feed-forward network, the neurons are organized into distinct layers: one input layer, any number of hidden processing layers, and one output layer, and the outputs from each layer go only to the next layer.
Read more... 

Source: InfoWorld