Fun with Rapid Miner

I fired up my Rapid Miner 5.1 and discovered a tonne of features that I cant do with (cough) other software. I think I need to get some training in this or even a live project so I can write more on Rapid Miner.

You need to view in full screen mode if you want to see what I am doing.

Background Music is unrelated!

Interview John Myles White , Machine Learning for Hackers

Here is an interview with one of the younger researchers  and rock stars of the R Project, John Myles White,  co-author of Machine Learning for Hackers.

Ajay- What inspired you guys to write Machine Learning for Hackers. What has been the public response to the book. Are you planning to write a second edition or a next book?

John-We decided to write Machine Learning for Hackers because there were so many people interested in learning more about Machine Learning who found the standard textbooks a little difficult to understand, either because they lacked the mathematical background expected of readers or because it wasn’t clear how to translate the mathematical definitions in those books into usable programs. Most Machine Learning books are written for audiences who will not only be using Machine Learning techniques in their applied work, but also actively inventing new Machine Learning algorithms. The amount of information needed to do both can be daunting, because, as one friend pointed out, it’s similar to insisting that everyone learn how to build a compiler before they can start to program. For most people, it’s better to let them try out programming and get a taste for it before you teach them about the nuts and bolts of compiler design. If they like programming, they can delve into the details later.

We once said that Machine Learning for Hackers  is supposed to be a chemistry set for Machine Learning and I still think that’s the right description: it’s meant to get readers excited about Machine Learning and hopefully expose them to enough ideas and tools that they can start to explore on their own more effectively. It’s like a warmup for standard academic books like Bishop’s.
The public response to the book has been phenomenal. It’s been amazing to see how many people have bought the book and how many people have told us they found it helpful. Even friends with substantial expertise in statistics have said they’ve found a few nuggets of new information in the book, especially regarding text analysis and social network analysis — topics that Drew and I spend a lot of time thinking about, but are not thoroughly covered in standard statistics and Machine Learning  undergraduate curricula.
I hope we write a second edition. It was our first book and we learned a ton about how to write at length from the experience. I’m about to announce later this week that I’m writing a second book, which will be a very short eBook for O’Reilly. Stay tuned for details.

Ajay-  What are the key things that a potential reader can learn from this book?

John- We cover most of the nuts and bolts of introductory statistics in our book: summary statistics, regression and classification using linear and logistic regression, PCA and k-Nearest Neighbors. We also cover topics that are less well known, but are as important: density plots vs. histograms, regularization, cross-validation, MDS, social network analysis and SVM’s. I hope a reader walks away from the book having a feel for what different basic algorithms do and why they work for some problems and not others. I also hope we do just a little to shift a future generation of modeling culture towards regularization and cross-validation.

Ajay- Describe your journey as a science student up till your Phd. What are you current research interests and what initiatives have you done with them?

John-As an undergraduate I studied math and neuroscience. I then took some time off and came back to do a Ph.D. in psychology, focusing on mathematical modeling of both the brain and behavior. There’s a rich tradition of machine learning and statistics in psychology, so I got increasingly interested in ML methods during my years as a grad student. I’m about to finish my Ph.D. this year. My research interests all fall under one heading: decision theory. I want to understand both how people make decisions (which is what psychology teaches us) and how they should make decisions (which is what statistics and ML teach us). My thesis is focused on how people make decisions when there are both short-term and long-term consequences to be considered. For non-psychologists, the classic example is probably the explore-exploit dilemma. I’ve been working to import more of the main ideas from stats and ML into psychology for modeling how real people handle that trade-off. For psychologists, the classic example is the Marshmallow experiment. Most of my research work has focused on the latter: what makes us patient and how can we measure patience?

Ajay- How can academia and private sector solve the shortage of trained data scientists (assuming there is one)?

John- There’s definitely a shortage of trained data scientists: most companies are finding it difficult to hire someone with the real chops needed to do useful work with Big Data. The skill set required to be useful at a company like Facebook or Twitter is much more advanced than many people realize, so I think it will be some time until there are undergraduates coming out with the right stuff. But there’s huge demand, so I’m sure the market will clear sooner or later.

The changes that are required in academia to prepare students for this kind of work are pretty numerous, but the most obvious required change is that quantitative people need to be learning how to program properly, which is rare in academia, even in many CS departments. Writing one-off programs that no one will ever have to reuse and that only work on toy data sets doesn’t prepare you for working with huge amounts of messy data that exhibit shifting patterns. If you need to learn how to program seriously before you can do useful work, you’re not very valuable to companies who need employees that can hit the ground running. The companies that have done best in building up data teams, like LinkedIn, have learned to train people as they come in since the proper training isn’t typically available outside those companies.
Of course, on the flipside, the people who do know how to program well need to start learning more about theory and need to start to have a better grasp of basic mathematical models like linear and logistic regressions. Lots of CS students seem not to enjoy their theory classes, but theory really does prepare you for thinking about what you can learn from data. You may not use automata theory if you work at Foursquare, but you will need to be able to reason carefully and analytically. Doing math is just like lifting weights: if you’re not good at it right now, you just need to dig in and get yourself in shape.
About-
John Myles White is a Phd Student in  Ph.D. student in the Princeton Psychology Department, where he studies human decision-making both theoretically and experimentally. Along with the political scientist Drew Conway, he is  the author of a book published by O’Reilly Media entitled “Machine Learning for Hackers”, which is meant to introduce experienced programmers to the machine learning toolkit. He is also working with Mark Hansenon a book for laypeople about exploratory data analysis.John is the lead maintainer for several R packages, including ProjectTemplate and log4r.

(TIL he has played in several rock bands!)

—–
You can read more in his own words at his blog at http://www.johnmyleswhite.com/about/
He can be contacted via social media at Google Plus at https://plus.google.com/109658960610931658914 or twitter at twitter.com/johnmyleswhite/

Data Mining Music

AA classic paper by Donald E Knuth (creator  of Tex) on the information complexity of songs can help listeners of music with an interest in analytics. This paper is a classic and dates from 1985 but is pertinent even today.

 

Google introduces Google Play

Some nice new features from the big G men from Mountain view. Google Play- for movies, games, apps, music and books. Nice to see entertainment is back on Google’s priority.

 

See this to read more

https://play.google.com/about/

When will I get Google Play?

About Google Play

Q: What is Google Play?
A: Google Play is a new digital content experience from Google where you can find your favorite music, movies, books, and Android apps and games. It’s your entertainment hub: you can access it from the web or from your Android device or even TV, and all your content is instantly available across all of these devices.

Q: What is your strategy with Google Play?
A: Our goal with Google Play is to bring together all your favorite content in one place that you can access across your devices. Specifically, digital content is fundamental to the mobile experience, so bringing all of this content together in one place for users makes the Android platform even more compelling. We’re also simplifying digital content for Google users – you can go to the Google Play website on your desktop and purchase and experience the latest movies, music and books. With Google Play, we’re giving you a simpler way to get your digital content.

Q: What will the experience be for users? What will happen to my existing account?
A: All content and apps in your existing account will remain in your account, but will transition to Google Play. On your device, the Android Market app icon will become the Google Play store icon. You’ll see “Play Store.” For the movies, books and music apps, you’ll begin to see Play versions of these as well, such as “Play Music,” and “Play Movies.”

Q: When will I get Google Play? What markets is this available in?
A: We’ll be rolling out Google Play globally starting today. On the web, Google Play will be live today. On devices, it will take a few days for the Android Market app to update to the Google Play Store app. The music, books and movies apps will also receive an update today.
Around the globe, Google Play will include Android apps and games. In countries where we have already launched music, books or movies, you will see those categories available in Google Play, too.

Q: I live outside the US. When will I get the books, music or movies verticals? I only see Android apps and games?
A: We want to bring different content categories to as many countries as possible. We’ve already launched movies and books in several countries outside the U.S. and will continue to do so overtime, but we don’t have a specific timeline to share.

Q: What types of content are available in my country?

  • Paid Apps: Available in these countries
  • Movies: Available in US, UK, Canada, and Japan
  • eBooks: Available in US, UK, Canada, and Australia
  • Music: Available in US

 

Q: Does this mean Google Music and the Google eBookstore will cease to exist? What about my account?
A: Both Google Music and the Google eBookstore are now part of Google Play. Your music and your books, including anything you bought, are still there, available to you in Google Play and accessible through your Google account.

Q: Where did my Google eBooks books go? Will I still have access to them?
A: Your books are now part of Google Play. Your books are still there, available to you in your Google Play library and accessible through your Google account.

Q: I don’t use an Android phone, can I still use Google Play?
A: Yes. Google Play is available on any computer with a modern browser at play.google.com. On the web, you can browse and buy books, movies and music. You can read books on the Google Play web reader, listen to music on your computer or watch movies online. Your digital content is all stored in the cloud, so you can access from anywhere using your Google Account.
We’ve also created ways to experience your music and books on other platforms such as the Google Books iOS app.

Q: Why do I not see Google Play yet on my device?
A: Please see our help center article on this here.

Q: How can I contact Google Play consumer support?
A: You can call or email our team here.

Tantra Anjuna

While vacationing in Goa, I came across a marvelous place on Anjuna Beach called Tantra. It is basically a beach side restaurant cum hotel, but what makes it unique is the use of natural building materials like wooden poles tied together with ropes to create a magnificent and comfortable ambiance . The decor is artistic without being too loud, a big golden statue of the Buddha greets people as they come in , the music is Sanskrit and Hindi hymns , there are books left casually around for the reader. There are statues of Ganesha and a Shiva -Linga, evening lighting is shielded lighting, and dinner is over candle-lights and the manager Karan Singh has basically created a sort of mini-naturalistic paradise. It is basically India as it was meant to be, before we turned weirdly capitalistic.

 

An amazing thing at the Tantra is the pricing, they are very much a fit for the traveler who does not want to stick to expensive hotels, and does not want to compromise on hygiene. Tantra is clean, very healthy living, and you go to sleep with the sound and sight of the Ocean, and are woken gently by the Sun.

 

If you are in the mood to travel to India, you should travel to Goa, and in Goa, Tantra , Anjuna beach is one of the finest places you can have an authentic travel experience.

 

Location- Tantra is located almost at the heart of Anjuna Beach, it is just ahead of the famous Anjuna Famous Market. To get to Anjuna, you can take a taxi or Bus from Mapusa, or Margoa. To reach Margoa, you can take an air-conditioned Volvo or non-AC bus from Mumbai (that would be the best way to travel)

 

About Tantra- A great place in Anjuna, Goa  with a difference.

Set next to the flea market, surrounded by unique antique furniture and art. Experience the serene and chilled out space. Great place to watch the sunrise and sunset. Swing by.
Contact Info

TANTRA BEACH SHACK AND HUTS

Email:

singh87@yahoo.com

Website:
https://tantraanjuna.wordpress.com/
Office: +919970444637
Location:
Flea Market, Anjuna Beach, Goa, India

Movie Review- Bollywood "Rock Star"

This one is a wee bit different. The music sounds more contemporary and fusion ,East blends West, the direction is both subtle and at times flamboyant, and the acting is notches above the average dance round the tree, laugh like a idiot fare.

Rock Star is the tale of a college dropout (aint they all!) called Jordan / by Ranbir Kapoor  musical prodigy who battles personal demons, lady luck , lady love (in the impossible pout of the American fashion model ,Nargis F), and his own musical ambitions. The breathtaking art moves from Kashmir, Prague, Europe and the streets of Delhi University. This one is a taker, breaker, soul shaker.  Try getting a sub titled DVD if you dont know Hindi, or atleast dekko some songs streaming free at http://www.saavn.com/search/hindi/album%20Rockstar

Imitiaz Ali http://en.wikipedia.org/wiki/Imtiaz_Ali_(director) does all olde Hindu College alumni proud (including this reviewer)
https://www.youtube-nocookie.com/v/cn1jx_JUpi0?version=3&hl=en_US&rel=0

Play Music in Google Plus- globally unlike Spotify/Facebook

What can I say? The picture is worth a thousand words.

One click integration of Youtube playlists in Google Plus-

eg I just clicked and typed Linkin Park (ps I am in India)

Sorry Sean Parker.

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