• Bad data is worse than no data at all.
• What is “good” data and where do you find it?
• Best practices for data analysis.

There’s no such thing as perfect data, but there are several factors that qualify data as good [1]:

• It’s readable and well-documented,
• It’s readily available. For example, it’s…

The food industry is among the largest industries in the world. Perhaps nothing serves as a better testament to its importance. The global food industry not only survived the pandemic even as pretty much every other sector suffered the wrath of shutdowns, but it thrived. The growth Zomato, Swiggy, UberEats and more managed to achieve in the past year…

Data science platform market is estimated to rise with a CAGR of 31.1% by generating a revenue of $224.3 billion by…

Big data and data analytics have become a part of our everyday lives. From online shopping to entertainment to speech recognition programs like Siri, data is being used in most situations. 

Data and data analytics continue to change how businesses operate, and we…

Big data and data analytics have become a part of our everyday lives. From online shopping to entertainment to speech recognition programs like Siri, data is being used in most situations. 

Data and data analytics continue to change how businesses operate, and we…

How extensive must data sets be to be considered as big data? For some, a slightly larger Excel spreadsheet is “big data”. Fortunately, there are certain characteristics that allow us to describe big data pretty well.

According…

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…

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…

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…

Our previous article wrote about one of the top strategic trends from the Gartner list - hyper-automation. Now let's have a closer look at another one -the Internet of Behaviors - a "deeper level" of IoT. What value can it create for…

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…

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…

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…

• Do you know the difference between a covariate and covariance, or probable and plausible?
• Many terms in statistics are confused, even by experts
• Eleven of the most commonly confused terms

Hundreds of years of statistical analysis by tens of thousands of independent researchers has led to an array of similar sounding…

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…

Time and time again, Judea Pearl makes the point on Twitter to neural net advocates that they are trying to do a provably impossible task, to derive a model from data. I could be wrong, but this is what I think he means.

When Pearl says "data", he is referring to what is commonly called a dataset. A dataset is a table of data, where all the entries of each column have the same units, and measure a single feature, and each row refers to one…