Figure 1: The Art of Thinking Like a Data Scientist

I love teaching because the onus is on me to clearly and concisely communicate my concepts to my students.  As I told my students, if I am describing a concept and you don’t…

The pandemic of COVID-19 has created a negative impact on the global 3D imaging market. The sustainability of the global market is mainly attributed to the advent of novel technological advancements in entertainment, healthcare, consumer electronics, and industrial automation. In addition, the emergence of 4D technology is projected…

As with any project, an effective and result-driven is a must, the same goes with software development projects. There’s no secret that software development is one of the trickiest and complex tasks that ever existed and to do them right, one needs to be following certain methodologies and processes that make the project go smooth and results in a…

Data science is booming day by day. In the market, the job place is quite saturated.

There are many skills you need to become a data scientist. There is a misconception…

The Markov Decision Process (MDP) provides a mathematical framework for solving the RL problem. Almost all RL problems can be modeled as an MDP. MDPs are widely used for solving various optimization problems. In this section, we will…

The organization of knowledge on the basis of semantic knowledge models is a prerequisite for an efficient knowledge exchange. A well-known counter-example are individual folder systems or mind maps for the organization of files. This approach to knowledge organization only works at the individual level and is not scalable because it…

At my AI course in the University of Oxford, we are exploring the use of PyTorch for the first time.

One of the best libraries to get started with PyTorch is fast.ai.

There are various ways to learn fast.ai.

For most people, the fast.ai course is their first exposure.

There is now a book…

Figure 1: Unleashing the Value of Technology Roadmap

In part 1 of the blog series “…

There are many ways chaos is defined, each scientific field and each expert having its own definitions. We share here a few of the most common metrics used to quantify the level of chaos in univariate time series or data sets. We also introduce a new, simple definition based on metrics that are familiar to everyone. Generally speaking, chaos…

This blog is the first part of a three-blog series, which talks about basics of reinforcement learning (RL)and how we can formulate a given problem into a reinforcement learning problem.

The blog is based on my teaching and insights from our book at the University of Oxford. I also wish to thank my co-authors Phil Osborne and Dr Matt Taylor for…

CPG opportunities in the new normal

The COVID-19 pandemic has compelled businesses to shift to virtual marketplaces and CPG has been no different. Consumers are increasingly preferring online portals instead of brick-and-mortar stores and…

According to a recent study from market research firm Global Market Insights, Growing demand for high performance servers worldwide is expected to boost the data center server market size in the coming years. There has been a high demand for advanced data center infrastructure solutions in recent years across many industries. Driven by…

The gender gap in technology is real. As per the World Economic Forum, women represent just 22% of AI…

Hello, friends. In this blog post, an interpretable design of unsupervised deep convolutional neural network & lstm autoencoders based real-time anomaly detection from high-dimensional heterogeneous/homogeneous time series …

If you want to work effectively on Java projects as a developer in this competitive world, there are many things you should learn. You must have many skills, and what you should have depends on the position you. But according to the latest survey on Java programmer skills and the current market demand,…

My recent journeys have brought me before both technology vendors and technology customers, and interestingly enough, both are asking the same question:

“How do we unleash the value of our technology investments?”

For technology vendors, more and more of their success is tied to their ability to help their customers unleash the…

The Cloudification of the Telecoms market

Last week, Nokia announced 10,000 jobs lost worldwide. Telecoms is a cyclical business with the G cycles (roughly spanning seven years) ex 3G, 4G etc – driving the ups and downs in employment. However, there is more at stake here because the Telecoms industry is fundamentally changing.

Nokia…

Artificial intelligence systems usually learn by example and are likely to learn better with high-quality examples. Low quality or insufficient training data can lead to unreliable systems that make poor decisions, reach the wrong conclusions, introduce or perpetuate bias and cannot handle real-world variation among other issues. Besides, poor data is…