Is Artificial Intelligence just about beating a person in the game of Go? I guess not, people have been playing that game for a long time in addition to doing several other things at the same time, including learning new things.
Integrating Functional and RESTful programming
This is the first of a series of blog articles on combining functional and RESTful paradigms.
RESTful programs are by definition resource oriented. Resource is an abstraction of a computational object. RESTful resources can represent a physical entity, an informational object and even an abstract entity.… Continue reading
When to use functional, OO and iterative paradigms
Each of the programming paradigms have their own use. Although I’m not a big fan of object oriented programming. Functional programming is highly useful when you want to achieve high level of abstraction. This helps in segregating implementation from specification. But the problem with functional programming is the inefficiency.… Continue reading
Functional Progamming and BigData
Map and Reduce have become buzzwords for bigdata processing, although they are not new concepts to computer scientists. Ever since the invention of functional languages, map and reduce have been the delight of computer scientists. The problem is big data stopped at incorporating only these two concepts from functional languages while ignoring several other interesting ones like first-class functions, filter, recursion etc.… Continue reading
Machine Learning and Lambda Calculus
Most of human learning happens through symbols. We do not remember data in quantitative fashion. Even when we remember numbers (like for example phone number or value of Pi) we store it as a series of symbols rather than as float/in values.… Continue reading
Machine Learning vs. Machine Intelligence
Cloud is a bigger revolution than mobile
Much of the boom in the tech space is attributed to rapid increase in connectivity through mobile. That is a tremendous underestimation of what is going on right now in the tech world. Most of the ease if setting up and running businesses is because of the evolution of cloud architecture and not just because a user is able to access an app on phone.
… Continue readingBig Data to Lean Data
Analytics has become a man power intensive activity.Man power is very expensive on top of it Analytics field is replete with jargon, as a result it has going beyond the reach of smaller companies. With today’s advances in technology there is no reason why a large part analytics can be automated.… Continue reading
AI in Business Analytics
Automation is the biggest growth driver for any industry. Much work in being done in automation of various aspects of business: work flows, project management, marketing etc etc.. Business Analytics is lagging quite behind in this though. Much of business analytics today involves manual data munging, analysis by an expert, modeling through the use of statistical tools and a final decision making by a manger.… Continue reading
Fintech Revolution aka Unbundling of the Bank
Banks are entities with several disparate services. This has been for legacy reasons as people trusted banks for all money related business (except may be insurance). thus banks offer payments, deposits, loans, wealth and asset management, broking, custodial , transaction advisory, investment banking and other varied set of services.… Continue reading
Checklist for BigData
Looking to build a BigData platform? Here is an infrastructural checklist that you should build:
- Scalable structured DB (PotsgreSQL is a good choice)
- Scalable unstructured DB (MongoDB)
- Streaming data (Apache Storm)
- In-memory data processing (Apache SparkSQL and RDD)
- Machine learning (Spark MLLIB)
Also Python and associated libraries: although its not a big-data tool in itself python is a great language with readily available packages to interact with most big-data tools.… Continue reading
SQL.. NoSQL..WhateverQL..
Many proponents of NoSQL think that tables are so yester-century. Even in HTML Divs have replaced tables long time back for placing content on the page. Does that mean SQL will die down? May be, may be not..
Firstly there are several companies invested heavily in structured data solutions.… Continue reading
Models in Financial Markets
Prediction is a key component of financial market modeling. In fact its an area where prediction can be applied directly. Risk/Return optimization is the other important aspect in financial market modeling but that is secondary to prediction. The third important aspect is pricing especially of derivative products with non-linear payoffs.
… Continue reading