Recent Posts
Explainability – A Must-Have Skill in a Data Scientist's Toolkit
A large number of organizations have been generating and collecting data for a while now – only to realize that it does not take data assets long to convert into a liability if not treated well.
9 Things We Learned at Data Science Salon NYC 2022
On December 7, 2022, we got the chance to bring the data science community in NYC back together with the Data Science Salon NYC. The last in-person event we had hosted in the Big Apple was in 2019 and we had missed seeing everybody face-to-face so much!
Product Innovation and Enterprise AI in Finance
This article discusses the needs and challenges of enterprise AI for product innovation based on Winnie Cheng’s presentation at Data Science Salon NYC on the same topic.
How AI is Augmenting the Digital Transformation in Finance
The universe of machine learning (ML) and its applications is expanding at an ever-increasing rate and there is hardly any industry that is not leveraging the power of sophisticated and cutting-edge algorithms to foster business growth. Solutions using Artificial Intelligence (AI) have gained even.
Git Your Way Up Collaboration
Software development is a learning process in itself. Not only do developers learn in retrospect, but they also need to frequently update a piece of code while working on a project. This iterative development process oftentimes calls for updating the code in the light of new requirements or may.
Generalization Power of Machine Learning Algorithms
If you have built machine learning pipelines, you must have faced questions like “How does this model generalize well on unseen data?”.
11 Takeaways from Data Science Salon Miami 2022
It is very hard to put all the emotions in one post about Data Science Salon Miami Hybrid 2022 and Miami Machine Learning Week, which happened from September 20-23, 2022.
An Agile Approach to Data Strategy
Picture this: On average, organizations lose about $12.9 million due to poor data quality. While the short-term impact is on the revenue, the long-term effect of insufficient data is poor decision-making and data ecosystems’ complexities.
Demystifying Quantum Machine Learning
Everything a computer knows or sees is in the form of either ones or zeros. This combination of ones and zeros allows computers to store data and perform mathematical operations. Ones and zeros are also referred to as bits.
Future-Proofing Your Big Data Infrastructure
Data engineers are facing a great challenge worldwide, i.e., the unprecedented growth of data.
