Introduction

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

• 2018 over $81 billion was spent on Smart City initiatives and this number is expected…

Background

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…

Introduction

This blog is a part of the learn machine learning coding basics in a weekend . We recommend the book Python Data Science Handbook by Jake…

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. …

image source - wikipedia

UPDATE

Hello all

we are now closing this 

we have been…

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

Background

• Firstly, AI is a vast topic. Everyone has a limited view on AI based on their personal…

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…

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…

Geoffrey Hinton dismissed the need for explainable AI. A range of experts have explained why he is wrong.

I actually tend to agree with…

Introduction

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…

Introduction

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.…

Image source: Wikipedia

Introduction

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…

Background

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

1. Robots are becoming autonomous…

In this post, we explore some broad guidelines for selecting machine learning models

The overall steps for Machine Learning/Deep Learning are:

• Collect…

Introduction

With the recent news about Facebook and Cambridge analytica, we are rightly concerned about the power and impact of algorithms to shape political…

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…

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…

Introduction

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…

Introduction

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…

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.

There…