Adnan Masood, a Machine Learning Phd's musings on Life, Technology, Research & Development
Microsoft Machine Learning & Data Science Summit is taking place in conjunction with Microsoft Ignite at Georgia World Congress Center on September 26 – 27, 2016 in Atlanta where thought leaders and Microsoft engineers will discuss the latest Big Data, Machine Learning, Artificial Intelligence, and Open Source techniques and technologies. I am exited to attend the summit due…
At Tampa Bay Data Science Group, this month Dr. Thomas Keller presented on intro to the R tidyverse: dplyr,ggplot2, and some Twitter conference data visualization. Two other good dplyr/ggplot resources is this blog post (https://rollingyours.wordpress.com/2016/07/19/dplyr-and-zika-epilogue/ ) and this recent JSM talk by Jim Horton (https://github.com/Amherst-Statistics/JSM2016-thinkwithR/blob/master/jsm2016-horton.pdf ) Here are links to the slides ( http://thomas-keller.github.io/talks/intro_ggplot_twitter_conf_20160808.pdf ) , R…
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…
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.
“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,…
Apache Spark is a general purpose cluster computing platform which extends map-reduce to support multiple computation types including but not limited to stream processing and interactive queries. Last week IBM's Moktar Kandil presented at the Tampa Hadoop and Tampa Data Science Group Joint meetup on the topic of exploring Apache Spark. Apache Spark for Azure HD-Insight Following are…
Sam just wrote a precis on Why Facial Recognition Is the Next Big Thing in Marketing which outlines how brands are / can use the facial recognition to increase engagement, and therefore sales. From a machine learning and data science perspective, building algorithms which understand what one's face is really saying i.e. performing emotion analysis to find insight into purchasing patterns…