Do you want to deploy tracking codes to a website quickly? With Google tag manager (GTM), it can be possible without any modifications in coding. Tags work like a tracking source on the website, and Google tag manager allows you to manage tags easily. It completely changes the way of deploying tracking codes without getting any help from developers. For the e-marketers, it works like a big…

     I always wondered how our life would have been if Google hadn’t been there. We depend on most of things from our personal to professional life on Google and it’s app. Not even a single day goes by without accessing any of these Google apps. Our life is partially dependent on Google. My Mom always use to say there are two world which exists One where they were born and raised a pre-google era and One where we are born in a post-google era. It has made our life easier, flexible and…

Summary:  There are several approaches to reducing the cost of training data for AI, one of which is to get it for free.  Here are some excellent sources.

Recently we wrote that training data (not just data in general) is the new oil.  It’s the difficulty and expense of acquiring labeled training data that causes many deep…

I built a scenario for a hybrid machine learning infrastructure leveraging Apache Kafka as scalable central nervous system. The public cloud is used for training analytic models at extreme scale (e.g. using TensorFlow and TPUs on Google Cloud Platform (GCP) via Google ML Engine. The predictions (i.e.…

I had a new talk presented at "Codemotion Amsterdam 2018" this week. I discussed the relation of Apache Kafka and Machine Learning to build a Machine Learning infrastructure for extreme scale.

Long version of the title:

"Deep Learning at Extreme Scale (in the Cloud) 
with the Apache Kafka Open Source Ecosystem - How to Build a Machine Learning Infrastructure with Kafka, Connect, Streams, KSQL, etc."

As always, I want to share the slide deck. The talk was…

Summary: Deep Learning, based on deep neural nets is launching a thousand ventures but leaving tens of thousands behind.  Transfer Learning (TL), a method of reusing previously trained deep neural nets promises to make these applications available to everyone, even those with very little labeled data.

Deep Learning, based on…

Summary:  There are several things holding back our use of deep learning methods and chief among them is that they are complicated and hard.  Now there are three platforms that offer Automated Deep Learning (ADL) so simple that almost anyone can do it.

There are several things holding back our use of deep learning methods…

E-Commerce has been on the rise with more and more businesses taking to online platforms to reach out to their clientele. Consequently, there has been a significant increase in the number of online spending, which has been due to the increase in the adoption and ownership of mobile devices that has resulted in a shift to the web. As a result, shoppers are always looking out for unmatched shopping experiences. That is, quick access, round-the-clock availability, accessible content and smooth…

Digging through messy data and doing numerous calculations just so you can submit a report or arrive at the result of your quarterly business development can sometimes be nigh impossible. After all, we are only human, and by the time we get to the other side of our spreadsheet equation, we have lost all sense of what we were trying to accomplish.

Luckily, there…

Here's the book in under five minutes. Props to my spectacular video guy, Joe Buquicchio of Chrome Video Productions.

 …

My publisher (John Wiley & Sons) is allowing me to make the 28-page Introduction of Too Big to Ignore available for free download. The Introduction provides the structure for the rest of the book and details a few interesting ways in which organizations are utilizing Big Data.…

There are various offerings out there if you want to use machine learning in your analysis nowadays. Nick WIlson spent his internship at BigML comparing three SaaS Machine Learning Services (BigML, Prior Knowledge and Google Prediction API), with WEKA as a  benchmark. He wrote a series of blog posts about his findings. In his final post he gives a summary of his work, with links to the different blog posts for details. He let me re-blog his summary here.

"Part 1 -…