Adnan Masood, a Machine Learning Phd's musings on Life, Technology, Research & Development
Learning to write programs stretches your mind, and helps you think better, creates a way of thinking about things that I think is helpful in all domains. -Bill Gates. Chairman, Microsoft I recently had an inquiry from an astronomy-buff friend of mine who wanted to introduce his 3rd and 4th Graders to programming. Following Hanselman's advice of how many…
Last week Microsoft has announced that Apache Spark on Azure HDInsight (Microsoft’s managed Hadoop and Spark cloud service) is now generally available. I spoke to Tampa Bay Data Science Group last night regarding Apache Spark on Azure HDInsight and the associated offerings. Spark for Azure HDInsight offers customers an enterprise-ready Spark solution that’s fully managed, secured, and highly available…
John Foreman in, Data Smart: Using Data Science to Transform Information into Insight works towards a A Workable Definition of Data Science, which is definitely an excellent read. To an extent, data science is synonymous with or related to terms like business analytics, operations research, business intelligence, competitive intelligence, data analysis and modeling, and knowledge extraction (also called knowledge…
When designing systems, distributed or otherwise, engineers create applications which can be roughly classified into two major categories: (a) Long running, background processes which require multiple steps / dependencies / workflow items to complete and (b) (mostly) interactive shorter duration programs. In Microsoft application landscape, the earlier category of daemon / majordomo style apps are best served…
Online Data Science Hackathon - Apache Spark Maker Build This is a Global On-line Hackathon that Begins May 23, 2016 and Ends August 3, 2016. Submissions Due August 3rd By 5:00 Pm Est. Build an Apache Spark application to address a real business problem or core concern related to customer care, marketing, risk management or…
If I have to rate typical conversations with machine learning enthusiasts, following queries usually rank at the top: "How do I pick an algorithm for my dataset?" "How do I know which one is the right algorithm to choose for my problem?" "Does logistic regression makes my dataset looks big?" Well, maybe not that last…
The Fallacies of Data Science
1. Correlation = Causation, and Big Data = Information and Insights because Data Context Doesn't Matter.
2. The random nature of the event drives the distribution, therefore the likely distribution also drive the events.
3. Base Rate Fallacy only applies to small data-sets.
Tomorrow, Tampa Bay Data Science Group in conjunction with Florida IT Professionals group like to announce the meetup, Machine Learning Overview - Microsoft Azure RSVP Here and join us at Microsoft Tampa Office to discuss Azure Machine Learning, a fully managed cloud service that enables you to easily build, deploy, and share predictive analytics solutions. 6:00pm…
“May the queries flow, and the pager stay silent. —Traditional SRE blessing” Like *.js, DevOps / SRE isn’t completely immune from the dilemma of choice, or confusion as a service as some would like to call. Should it be Nagios or Zabbix or Cacti or Zenoss or Borgmon? Regardless of which tool one decides for monitoring usage,…
As co-organizer of Irvine.NET Meetup, I'd invite you to our next meetup. Today Wed 5/18, Nuri Halperin will be presenting at Irvine Developers Group, an exclusive preview of his MongoDB World '16 Talk "From Story to Document: Modeling Common Business Problems with MongoDB". RSVP Abstract: When designing a solution leveraging MongoDB, the entities and business requirements…