Even as we grow in our ability to extract vital information from big data, the scientific community still faces roadblocks that pose major data mining challenges. In this article, we will discuss 10 key issues that we face in modern data mining and their possible solutions. 1. Heterogeneous Data Data can be of low quality, […]
How to Become a Data Scientist
Becoming a data scientist does not necessarily require a master’s degree. There is a significant shortage of data scientists, and some employers are comfortable hiring people who lack a degree, but have the experience needed. The majority of employed data scientists have a master’s degree, but over 25% do not. If you have the experience, […]
Recommendations to Level Up Your Machine Learning Platform
With machine learning (ML) and artificial intelligence (AI) applications becoming more business-critical, organizations are in the race to advance their AI/ML capabilities. To realize the full potential of AI/ML, having the right underlying machine learning platform is a prerequisite. Today’s machine learning platforms are undergoing rapid, fundamental innovations at an architectural level. Meanwhile, organizations are […]
Working Towards Explainable AI
“The hardest thing to understand in the world is the income tax.” This quote comes from the man who came up with the theory of relativity – not exactly the easiest concept to understand. That said, had he lived a bit longer, Albert Einstein might have said “AI” instead of “income tax.” Einstein died in […]
How Analytics Shapes Our Music Tastes in the Era of Digital Streaming
Next in our blog series exploring interesting analytics use cases, we examine how machine learning algorithms dictate the music we listen to every day. In 2019, the music streaming market was valued at $12,831.2 million – a figure that’s expected to nearly double by 2027. Music streaming has become the most popular medium for music consumption, significantly outperforming […]
Knowledge Graph Standards in Ambient Computing
Ambient computing is a broad term that describes an environment of smart devices, data, AI decisions, and human activity that enables computer actions alongside everyday life, without the need for direct human commands or intervention. Ambient computing represents an unparalleled opportunity to enhance almost every sphere of society – from the professional to the personal. And in […]
Machine Learning Models for Classification Tasks
In the field of machine learning, regression algorithms and classification algorithms are two important topics that lay a good foundation for people who want to advance their careers in the fields of Data Science or Machine Learning. Regression algorithms are methods that predict a continuous output (e.g., the price of a house), and classification algorithms are methods […]
Deep Reinforcement Learning: What, Why, How
Reinforcement learning (RL), a “niche” machine learning technique, has surfaced in recent years. In context-based decision-making, reinforcement learning helps the machine take action-provoking decision-making through a trial-and-error approach to achieve the optimal algorithmic model for a situation. Furthermore, the machine is trained through a reward/penalty-based feedback mechanism, the goal of which is to continuously improve […]
A Brief History of Deep Learning
Deep Learning, is a more evolved branch of machine learning, and uses layers of algorithms to process data, and imitate the thinking process, or to develop abstractions. It is often used to visually recognize objects and understand human speech. Information is passed through each layer, with the output of the previous layer providing input for […]
How the Technology Industry Can Speed up Environmental Protection Efforts
The recent UN Climate Change Conference (COP26) revealed a massive credibility gap between government current policies and their net-zero goals. Even with full implementation of emissions targets set for 2030, the planet is expected to heat up by 2.4°C by the end of the century. This alarming gap has cast a dark shadow of doubt over […]