Tag: Machine Learning
5 Tips to Successfully Implement ML in the Enterprise

5 Tips to Successfully Implement ML in the Enterprise

Nearly one-third of enterprises admit they don't use AI-based solutions. Tackling the data, tech and deployment-related challenges in a large company can be overwhelming, but not impossible. Filipa Castro, Data Scientist at Continental shared some good practices with...

Machine learning Projects: Lab to Live Journey

Machine learning Projects: Lab to Live Journey

AI is everywhere and its rate of adoption has significantly increased since the digital acceleration seen through the usher of the covid period. But the aesthetics get worn out soon as the aspiring AI/ML projects do not live up to the potential and end up...

A dogma of bias and variance

A dogma of bias and variance

If you are planning to choose machine learning for your business problem assuming its predictions are always correct, then there is something you should know. Machine learning algorithms are probabilistic by nature and are not perfectly accurate. Then what should we...

Using NLP to analyze customer feedback

Using NLP to analyze customer feedback

The role of customer experience is vital and known for a long time. According to the data gathered by CGS, 30% of customers are willing to pay more for excellent service. This can be delivered by listening to the voice of customers and constantly monitoring their...

Top 13 Data Science and Machine Learning Slack Communities

Top 13 Data Science and Machine Learning Slack Communities

Virtual communities make a difference, especially during a pandemic where people are unable to meet and interact in person. Slack is a real gold mine when it comes to finding inspiring peers who share similar data science joys and challenges. That’s why we have put...

The role that AI and machine learning plays in cybersecurity

The role that AI and machine learning plays in cybersecurity

Cybersecurity and AI are both complex enough on their own, but what are the possibilities and challenges when these two fields collide? With data continuously growing, a lack of talent, and increasing threats from digital attackers, the need for AI and machine...

MLOps: Enabling Machine Learning in the Wild

MLOps: Enabling Machine Learning in the Wild

Machine Learning (ML) is being applied successfully across many industries and by all kinds of organizations, from start-ups to large corporations. However, many encounter unexpected problems when trying to apply ML to their use case. In this post, we are going to see...

Data Science Predictions for 2022

Data Science Predictions for 2022

Data science is one of the hottest areas of growth within companies of all industries. Companies all over the world are scrambling for data science talent and the number of educational programs related to data science inside and outside universities continues to grow...

Top Data Science Breakthroughs in 2021

Top Data Science Breakthroughs in 2021

It’s the time of the year when we look back at some of the data science breakthroughs and accomplishments of the past 12 months. As in the previous years, AI and machine learning techniques have evolved at a rapid pace; and amazing research was published in 2021. We...