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

Movie Review – Sahib Biwi aur Gangster (The Lord, The Wife and the Gangster)

This is the latest Bollywood smash, it is a inspired version of Sahib < Biwi < and Ghulam

It features a feudal lord, doing what gentlemen borne as gentlemen do, his bored schizophreniac wife, and the driver/gangster

There are lots of twists and turns, and it may be Bollywood’s steamiest romantic comedy/drama.

The songs are nice, the acting is superb by the cast of Randeep Hooda (D, Once upon a time in Mumbai), Mahi Gill and Jimmy Shergill.

Power packed and nice- but see it without your kids/family or you may end up blushing! Probably the closest to a noir sex comedy that I have seen in 3 decades of Bollywood watching!

 

Movie Review- Real Steel

Real Steel succeeds where Cowboys and Aliens failed. It manages to marry the odd couple-

robot movies with boxing movies, and the charming presence of Hugh Jackman, a new kid on the block,

and much better CGI than Transformers ensure this is a sweet family, buddy movie for a weekend.

It  may not rate very high on originality , as all sports movies do with the struggling underdog theme, the training, the Rocky deja Vu

—-but it does pack a very nice visual punch. See it to believe it, Robot boyz.  Real Steel is a real steal!

 

Interview Dan Steinberg Founder Salford Systems

Here is an interview with Dan Steinberg, Founder and President of Salford Systems (http://www.salford-systems.com/ )

Ajay- Describe your journey from academia to technology entrepreneurship. What are the key milestones or turning points that you remember.

 Dan- When I was in graduate school studying econometrics at Harvard,  a number of distinguished professors at Harvard (and MIT) were actively involved in substantial real world activities.  Professors that I interacted with, or studied with, or whose software I used became involved in the creation of such companies as Sun Microsystems, Data Resources, Inc. or were heavily involved in business consulting through their own companies or other influential consultants.  Some not involved in private sector consulting took on substantial roles in government such as membership on the President’s Council of Economic Advisors. The atmosphere was one that encouraged free movement between academia and the private sector so the idea of forming a consulting and software company was quite natural and did not seem in any way inconsistent with being devoted to the advancement of science.

 Ajay- What are the latest products by Salford Systems? Any future product plans or modification to work on Big Data analytics, mobile computing and cloud computing.

 Dan- Our central set of data mining technologies are CART, MARS, TreeNet, RandomForests, and PRIM, and we have always maintained feature rich logistic regression and linear regression modules. In our latest release scheduled for January 2012 we will be including a new data mining approach to linear and logistic regression allowing for the rapid processing of massive numbers of predictors (e.g., one million columns), with powerful predictor selection and coefficient shrinkage. The new methods allow not only classic techniques such as ridge and lasso regression, but also sub-lasso model sizes. Clear tradeoff diagrams between model complexity (number of predictors) and predictive accuracy allow the modeler to select an ideal balance suitable for their requirements.

The new version of our data mining suite, Salford Predictive Modeler (SPM), also includes two important extensions to the boosted tree technology at the heart of TreeNet.  The first, Importance Sampled learning Ensembles (ISLE), is used for the compression of TreeNet tree ensembles. Starting with, say, a 1,000 tree ensemble, the ISLE compression might well reduce this down to 200 reweighted trees. Such compression will be valuable when models need to be executed in real time. The compression rate is always under the modeler’s control, meaning that if a deployed model may only contain, say, 30 trees, then the compression will deliver an optimal 30-tree weighted ensemble. Needless to say, compression of tree ensembles should be expected to be lossy and how much accuracy is lost when extreme compression is desired will vary from case to case. Prior to ISLE, practitioners have simply truncated the ensemble to the maximum allowable size.  The new methodology will substantially outperform truncation.

The second major advance is RULEFIT, a rule extraction engine that starts with a TreeNet model and decomposes it into the most interesting and predictive rules. RULEFIT is also a tree ensemble post-processor and offers the possibility of improving on the original TreeNet predictive performance. One can think of the rule extraction as an alternative way to explain and interpret an otherwise complex multi-tree model. The rules extracted are similar conceptually to the terminal nodes of a CART tree but the various rules will not refer to mutually exclusive regions of the data.

 Ajay- You have led teams that have won multiple data mining competitions. What are some of your favorite techniques or approaches to a data mining problem.

 Dan- We only enter competitions involving problems for which our technology is suitable, generally, classification and regression. In these areas, we are  partial to TreeNet because it is such a capable and robust learning machine. However, we always find great value in analyzing many aspects of a data set with CART, especially when we require a compact and easy to understand story about the data. CART is exceptionally well suited to the discovery of errors in data, often revealing errors created by the competition organizers themselves. More than once, our reports of data problems have been responsible for the competition organizer’s decision to issue a corrected version of the data and we have been the only group to discover the problem.

In general, tackling a data mining competition is no different than tackling any analytical challenge. You must start with a solid conceptual grasp of the problem and the actual objectives, and the nature and limitations of the data. Following that comes feature extraction, the selection of a modeling strategy (or strategies), and then extensive experimentation to learn what works best.

 Ajay- I know you have created your own software. But are there other software that you use or liked to use?

 Dan- For analytics we frequently test open source software to make sure that our tools will in fact deliver the superior performance we advertise. In general, if a problem clearly requires technology other than that offered by Salford, we advise clients to seek other consultants expert in that other technology.

 Ajay- Your software is installed at 3500 sites including 400 universities as per http://www.salford-systems.com/company/aboutus/index.html What is the key to managing and keeping so many customers happy?

 Dan- First, we have taken great pains to make our software reliable and we make every effort  to avoid problems related to bugs.  Our testing procedures are extensive and we have experts dedicated to stress-testing software . Second, our interface is designed to be natural, intuitive, and easy to use, so the challenges to the new user are minimized. Also, clear documentation, help files, and training videos round out how we allow the user to look after themselves. Should a client need to contact us we try to achieve 24-hour turn around on tech support issues and monitor all tech support activity to ensure timeliness, accuracy, and helpfulness of our responses. WebEx/GotoMeeting and other internet based contact permit real time interaction.

 Ajay- What do you do to relax and unwind?

 Dan- I am in the gym almost every day combining weight and cardio training. No matter how tired I am before the workout I always come out energized so locating a good gym during my extensive travels is a must. I am also actively learning Portuguese so I look to watch a Brazilian TV show or Portuguese dubbed movie when I have time; I almost never watch any form of video unless it is available in Portuguese.

 Biography-

http://www.salford-systems.com/blog/dan-steinberg.html

Dan Steinberg, President and Founder of Salford Systems, is a well-respected member of the statistics and econometrics communities. In 1992, he developed the first PC-based implementation of the original CART procedure, working in concert with Leo Breiman, Richard Olshen, Charles Stone and Jerome Friedman. In addition, he has provided consulting services on a number of biomedical and market research projects, which have sparked further innovations in the CART program and methodology.

Dr. Steinberg received his Ph.D. in Economics from Harvard University, and has given full day presentations on data mining for the American Marketing Association, the Direct Marketing Association and the American Statistical Association. After earning a PhD in Econometrics at Harvard Steinberg began his professional career as a Member of the Technical Staff at Bell Labs, Murray Hill, and then as Assistant Professor of Economics at the University of California, San Diego. A book he co-authored on Classification and Regression Trees was awarded the 1999 Nikkei Quality Control Literature Prize in Japan for excellence in statistical literature promoting the improvement of industrial quality control and management.

His consulting experience at Salford Systems has included complex modeling projects for major banks worldwide, including Citibank, Chase, American Express, Credit Suisse, and has included projects in Europe, Australia, New Zealand, Malaysia, Korea, Japan and Brazil. Steinberg led the teams that won first place awards in the KDDCup 2000, and the 2002 Duke/TeraData Churn modeling competition, and the teams that won awards in the PAKDD competitions of 2006 and 2007. He has published papers in economics, econometrics, computer science journals, and contributes actively to the ongoing research and development at Salford.

Movie Review :Bodyguard (Bollywood)

This is part of Salman Khan’s trilogy quadrology after Wanted, Dabangg, Ready and now Bodyguard  in remakes of South Indian movies with pumping slow motion /fast moving action and hummable songs, slapstick comedy, typical Bollywood drama and packaged in a nice box for you to eat and savour. This is not cinema in the class of gourmet, but cinema in the class of chat, gol gappas and hot dogs (if you get the metaphor- you will get the movie as well)

 

The movie is actually nice, the actors are well casted , for a change this is actually a script, the humor is bearable if 300 people in the movie theatre are laughing with you, in some places the comic scenes are good. Salman Khan starts with a wooden expression for his bodyguard facial expressions, but by the end Kareena Kapoor and Salman prove why they are the numero uno entertainers in the world’s largest  movie crazy market (by volume of movies). I liked it better than Wanted and Ready, and almost as nice as Dabangg.

and yes Salman and Kareena look  good together!

Watch it to enjoy, and take some pleasure from the simple things of life.

Movie Review- X Men First Class

This is a movie that restores faith in the good old art of story telling with completely realistic but not in the face Computer Generated Effects.

Both Charles (as Prof X) and Erik (as Magneto) are awesome, but Erik steals the show as Michael FAsbbender plays the avenging Holocaust victim with complete and ruthless abandon. The use of Mad Men like costumes, and the flashback to history was awesome too, but the Russians were bad- same old chaps we have seen playing Russians in dozens of movies , slurring over their Rs. The interpolation of JFK, Cuban Missile Crisis and even the 1960’s chauvinistic humor really add on to this movie.

Watch it- good for both family and friends. Kevin Bacon is a steal, and lots of talented actors now join the Kevin Bacon game.

x1

 

Updated Blogging Policy for Decisionstats.com

Once Upon a Time in Mumbaai
Image via Wikipedia

I will be moving and transitioning all cultural,philosophical ,poetry, and political writing to separate blogs.

Decisionstats is for better TECHNICAL decisions by FASTER STATS (on technology).

  • for better political decisions (how to organize protests in Asia when the govt cuts off the internet) (separate culture blog),
  • better cultural decisions (which movie should we go to) (separate culture blog),
  • better poetry reading (seperate TUMBLR blog)

 

Thanks,

Ajay Ohri

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