One of the hardest problem in AI is not technical
It is social
Specifically, it is the problem of “educating people for living and working in a world dominated by AI”
This blog is based on my talk and notes in panels at the…Continue
AI and patents - trends to watch from the WIPO technology trends report
WIPO Technology Trends report 2019 came as a surprise to me. We in AI are not used to thinking about patents so much because tools / platforms are mostly Open sourced.
Here are the key…Continue
Added by ajit jaokar on March 22, 2019 at 1:05pm — No Comments
I spoke at the iot expo on AI and smart cities in London this week
Smart cities have been around for more than a decade
The overall numbers for Smart cities are promising
When I was teaching a session on AI at an MBA program at the London School of Economics, I thought of explaining AI from the perspective of the life-cycle of Data. This explanation is useful because more people are used to data (than to code). I welcome comments on this approach. Essentially, we consider how data is used and transformed for AI and what are its…Continue
Added by ajit jaokar on March 4, 2019 at 11:05am — No Comments
Added by ajit jaokar on February 19, 2019 at 1:30pm — No Comments
For background to this post, please see Learn #MachineLearning Coding Basics in a weekend. Here,we present the glossary that we use for the coding and the mindmap attached to these classes and upcoming book. …Continue
The first book is posted on data science…Continue
After a recent webinar, I was asked about advice for getting a job in AI for a fresh graduate
This is a good question and not often answered
Here are my thoughts
Added by ajit jaokar on January 21, 2019 at 2:22pm — No Comments
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
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 debate and more generally, our lives. The…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 applications – including Visa/immigration issues, rising…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 question
Because you can find Data Scientist jobs paying as little $30K and…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