What is Model complexity? Compare Linear Regression to Decision Trees to Random Forests

A machine learning model is a system that learns the relationship between the input (independent) features and the target (dependent) feature of a dataset to be useful in making predictions in the future. In this article, we are going to test the effectiveness of 3 popular models that vary in complexity.

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Building AI Leadership Brain Trust for Board Directors and CEOs – Blog Series: Emotional and Social Intelligence Skills

This blog is a continuation of the Building AI Leadership Brain Trust Blog Series which targets board directors and CEO’s to accelerate their duty of care to develop stronger skills and competencies in AI in order to ensure their AI programs achieve sustaining results. This blog drills down to explain ten Emotional and Social Intelligence skills required in building an AI Leadership Brain Trust.

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AI jobs in 2021: here are some key trends

There’s no doubt about it – Artificial Intelligence has been a bit of a buzzword this year. Artificial intelligence has been established as the main driver of emerging technologies such as big data, robotics, and the IoT. So, what do the next 12 months look like for AI?
As a result of the global pandemic, consumer trends have changed significantly, which has resulted in some notable trends in the world of AI for 2021…

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5 IPOs that show the importance of data in 2020

The amount of data being generated continued to soar in 2020. And with the rollout of 5G networks, the deployment of edge computing, and the expanding adoption of cloud computing, most projections show the creation and collection of data continuing to accelerate. Earlier this year, IDC had projected that 59 zettabytes of data would be “created, captured, copied, and consumed” in 2020, up from 41ZB in 2019. By 2024, that number is expected to reach 149ZB.

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Machine Learning: Automated DevOps and threat identification

Machine Learning (ML) and Artificial Intelligence (AI) is a technology that is still finding its footing in the commercial sector. Although few systems are touted as a complete solution, there are many new AI/ML based companies that are capitalising on the benefits, and traditional business will need to follow suit. ML Ops, the ML equivalent of DevOps will become increasingly important.

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Possible impacts of Artificial Intelligence on society

The concept of Artificial Intelligence (AI) is almost as old as the field of modern computer sciences. From the early days in the late 1950s to the shape it has transformed into, computer scientists have inspired, and at times, bamboozled humankind with its seemingly infinite capabilities. Having said that, it seems that there is hardly any field in computer sciences that has remained so misunderstood as AI, the general comprehension of the layman is generally mixed: precisely 34% according to the Department of Technological Policy Management.

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Data quality from First Principles

The right way to think about Data Quality, from Kimball and Uber’s points of view. If you’ve spent any amount of time in business intelligence, you would know that data quality is a perennial challenge. It never really goes away. For instance, how many times have you been in a meeting, and find that someone has to vouch for the numbers being presented?

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