Note: This is a long post, but I kept it as a single post to maintain continuity of the thought flow
In this longish post, I have tried to explain Deep Learning starting from familiar ideas like machine learning. This approach forms a part of my forthcoming book. You can connect with me on Linkedin to know more about the book. I have used this approach in my teaching. It is based on ‘learning by…Continue
Most of us start working with specific programming languages like TensorFlow and Pyspark
So, we are relatively not so used to working with Cloud APIs.
But Cloud APIs for Machine Learning and Deep Learning can make your life a lot easier in building AI and Machine Learning services
Of course, the Cloud APIs have a cost – but they…Continue
Added by ajit jaokar on January 5, 2019 at 2:00pm — No Comments
Geoffrey Hinton dismissed the need for explainable AI. A range of experts have explained why he is wrong.
I actually tend to agree with…Continue
In this post, I explain the maths of Deep Learning in a simplified manner. To keep the explanation simple, we cover the workings of the MLP mode (Multilayer Perceptron). I have drawn upon a number of references – which are indicated in the post in the relevant sections.
Deep Learning models are playing a significant role in many domains. In the simplest case, deep learning involves stacking multiple neural network layers to address a…Continue
Added by ajit jaokar on December 17, 2018 at 11:10am — No Comments
Exploratory Data Analysis (EDA) is an approach/philosophy for data analysis that employs a variety of techniques (graphical and quantitative) to better understand data. It is easy to get lost in the visualizations of EDA and to also lose track of the purpose of EDA. EDA aims to make the downstream analysis easier.…Continue
Added by ajit jaokar on December 6, 2018 at 5:49am — No Comments
Image source: Wikipedia
This post is about how not to be the Halley’s comet Data Scientist i.e. to keep yourselves motivated in your Data Science journey
The views expressed here are my own
Many professionals want to transition their career to AI.
But most will not
Often, we see a…Continue
Robotics today is not the same as assembly line Robots of the industrial age because AI is impacting many areas of Robotics.
Specifically, AI is changing Robotics in two key areas
Added by ajit jaokar on November 7, 2018 at 4:32am — No Comments
In this post, we explore some broad guidelines for selecting machine learning models
The overall steps for Machine Learning/Deep Learning are:
With the recent news about Facebook and Cambridge analytica, we are rightly concerned about the power and impact of algorithms to shape political…Continue
Added by ajit jaokar on October 1, 2018 at 2:00am — No Comments
Last week, the financial times wrote that there was a sharp fall in MBA applications in the USA.
The Elite MBA programs were not affected by this trend, but most others were
Many factors contribute to this fall in…Continue
Added by ajit jaokar on September 24, 2018 at 11:20am — No Comments
On Linkedin, many Data Science enthusiasts who aspire to be Data Scientists follow me.
One person asked the question:
What do I need to know to get a $150K job as a Data Scientist?
It’s a good…Continue
Recently, google launched a Dataset search – which is a great resource to find Datasets. In this post, I list some IoT datasets which can be used for Machine Learning or Deep Learning applications. But finding datasets is only part of the story. A static dataset for IoT is not enough i.e. some of the interesting analysis is in streaming mode. To…Continue
Added by ajit jaokar on September 12, 2018 at 3:00am — No Comments
In a previous post (four quadrants of the Enterprise AI business case) – I laid the foundations of a strategy for deploying Enterprise AI. In this post, we…Continue
Added by ajit jaokar on September 2, 2018 at 4:53am — No Comments
In this post, I explore if ideas of deliberate practise can be applied to teaching coding for Artificial Intelligence / Machine Learning
I am exploring these ideas in a free coding workshop/ meetups in London.
In this post, I discuss the development of the Enterprise AI business case through a framework of four quadrants. According to Gartner: “The mindset shift required for AI can lead to “cultural anxiety” because it calls for a deep change in behaviors and ways of thinking”. Deployment of AI in an Enterprise is complex and multi-disciplinary. Hence, this framework is evolutionary. The vendors and initiatives listed are included to…Continue
Andrew Ng is a great fan of reading research papers as a long term investment in your own study (On Life, Creativity, And Failure about Andrew Ng). Anyone who has worked in our field (AI, Machine Learning) can…Continue
This big picture view lays the foundation of our book Data Science for the Internet of Things. (Co-authored by Ajit Jaokar, Jean Jacques Bernard and Sukanya Mandal)
We address the question: at what points can we add analytics to the data after it leaves the sensor and…Continue
I had the pleasure to meet @KirkDBorne last week and participate in a panel moderated by Kirk - Decoding #GDPR, #IoT, and #UX in the #BigData world: discussing #AI #MachineLearning #DataSecurity at the…Continue
In my previous article, I wrote about the impact of Robotic Process Automation which drives Enterprise AI. In that article, I said: The first group of workers to…Continue
I have a close circle of clued-on/tech savvy friends whose views I take seriously. For the last few weeks, one of these friends has been sending me emails extolling the merits of something called IOTA – which calls itself as the next generation Blockchain. At first, I…Continue
Added by ajit jaokar on December 24, 2017 at 12:00pm — No Comments