– Mark Kerzner, Co -Founder, Elephantscale [This is a series of posts about the AI, Blockchain, and IOT – and how they relate to evidence and compliance. We are not lawyers, and these are our technical comments. We hope they will be useful to folks working with the legal and compliance aspects of the documents. […]
Details : How to be proactive in the time of the total hacker dominance? Artificial intelligence is changing the game for cyber security, analyzing massive quantities of risk data, to speed response times and augment the capabilities of under-resourced security operations. AI technologies like machine learning and natural language processing enable analysts to respond to […]
Details : What is Cloud Enabled Apps? How do you write software today? (A long list of requirements is at the bottom, not to bore you). But in our travel from Russia to China to Brazil, we see what all people agree upon. Introducing… Cloud-enabled apps that * Won’t fail * Will scale * Will […]
Details : In this webinar we will show you how to kick start your Machine Learning journey using Google Cloud platform. We will show you how to use the platform and give you sample code (notebooks) so you can start right away and practice on your own. This webinar features lecture + a demo (attendees […]
In the recent issue of the New Yorker magazine, Dr. Atul Gawande describes how he, being on the staff of the hospital system, “Partners HealthCare,” reacted to the hospital software upgrade. Sixteen hours of mandatory training to go from a homegrown system to a modern which Atul did not like at all. (I invite the […]
Many people today question the quality of enterprise software by comparing it to their smart phones. “Why can’t our software do this if my phone can?”In this webinar, you will learn how make your software smarter and what steps you need to take. Provided, your phones are powered by Google or Apple software. But today […]
Software Engineer’s Guide to Machine Learning — Part 2 : Learning Python Index for the whole series Learning an Ecosystem to practice ML We are going to be learning ML by practice. So we need to learn a platform that we can use. I look for the following attributes on a ML platform easy to […]
Software Engineer’s Guide to Machine Learning — Part 1 : About the guide Index for the whole series Disclaimer is here About this Guide This is a a guide is based on my journey of learning Machine Learning. My background I am a software engineer by trade. Now I am a founder and […]
This is the main index page for the guide. This is based on my experience. Hope you find this useful too. — Sujee Maniyam Founder @ Elephant Scale Disclaimer Please note this is just one guy’s opinion — that is all it is. I do welcome your comments & constructive feedback ; But please […]
Distributed Deep Learning is not easy. While both Tensorflow and Caffe have distributed modes, they tend to be used for a single node super-box with lots of GPUs. That’s fine if the goal is to speed up training on a reasonable size amount of data, but what if the problem is that we have […]