Data observability vs data quality
As companies gather seemingly endless data streams from an increasing number of sources, they start to amass an ecosystem of data storage, would-be end-users, and… Read More »Data observability vs data quality
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Data Science
This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
The Importance of Data Engineering for a Profitable App Development
High-quality app development can significantly drive your business growth and success while boosting customer satisfaction and bringing in more clients. However, with millions of apps… Read More »The Importance of Data Engineering for a Profitable App Development
Data science as a lucrative career option for the youth
Data Science is a beacon of opportunity in today’s digital landscape. Its role as an indispensable tool in decision-making has led to its growing importance… Read More »Data science as a lucrative career option for the youth
AI and Big Data Analytics in Retail Industry
Leveraging the latest technology has become more critical than ever in today’s fast-paced and competitive retail environment. Big Data Analytics and AI are at the… Read More »AI and Big Data Analytics in Retail Industry
An Intriguing Job Interview Question for AI/ML Professionals
In my last project, I had to come up with some code and algorithm to solve an interesting problem. I realized that it could lead… Read More »An Intriguing Job Interview Question for AI/ML Professionals
You should never neglect to monitor your machine-learning models
Machine learning has emerged as a powerful tool for organizations across industries to enhance their operational efficiency and make data-driven decisions. With the increasing reliance… Read More »You should never neglect to monitor your machine-learning models
AI vs Machine Learning vs Deep Learning
Discover the differences between AI, machine learning, and deep learning in this comprehensive guide. Learn how each technology works, their key applications, and the skills required for a career in data science.
Challenges of Contact Tracing in a Post-COVID World
As the world slowly emerges from the COVID-19 pandemic, contact tracing remains critical in preventing the spread of infectious diseases and managing potential outbreaks. Throughout… Read More »Challenges of Contact Tracing in a Post-COVID World
Is it Still Worth Getting a Machine Learning Degree?
Given the current economy, with large companies laying off machine learning employees in droves, one may wonder if spending 4 years and over $80k in… Read More »Is it Still Worth Getting a Machine Learning Degree?
Internal CPU Accelerators and HBM Enable Faster and Smarter HPC and AI Applications
Internal CPU Accelerators and HBM Enable Faster and Smarter HPC and AI Applications We have now entered the era when processor designers can leverage modular semiconductor… Read More »Internal CPU Accelerators and HBM Enable Faster and Smarter HPC and AI Applications