Data Discovery for ML Engineers
Real-world production ML systems consist of two main components: data and code. Data is clearly the leader, and rapidly taking center stage. Data defines the… Read More »Data Discovery for ML Engineers
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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 Myth of Analytic Talent Shortage
I tested the job market in the last two weeks, both as an applicant, and as a hiring manager. I share my experience here. It… Read More »The Myth of Analytic Talent Shortage
How Python Became The Language for Data Science
What is Data Science? Data science is a study that helps us to extract information from a set of structured or unstructured data. It makes… Read More »How Python Became The Language for Data Science
Three Critical Steps for Data-Driven Success
In today’s landscape, businesses need to look for any competitive advantage they can to ensure their survival, growth and success. A key aspect of gaining… Read More »Three Critical Steps for Data-Driven Success
Data Governance Tool: What To Look For?
Data governance is the management of organizations’ data availability, usability, integrity, security, and privacy. According to Gartner, Data governance is the specification of decision rights and… Read More »Data Governance Tool: What To Look For?
Five Key Components of a Data Sharing Platform
Increasingly, companies are focused on finding ways to connect to new and valuable sources of data in order to enhance their analytical capabilities, enrich their… Read More »Five Key Components of a Data Sharing Platform
The long game: Feedback loops and desiloed systems by design (Part II of II)
The previous post covered the problem of oversiloing. Systems thinking, I pointed out, can help reduce the practice of siloing when it’s not necessary. In… Read More »The long game: Feedback loops and desiloed systems by design (Part II of II)
How Metadata Improves Security, Quality, and Transparency
How does Spotify battle against a giant like Apple? One word: data. With machine learning and AI, Spotify creates value for its users by providing… Read More »How Metadata Improves Security, Quality, and Transparency
Understanding the Role of Augmented Data Catalogs in Data Governance
Every time we think we have grasped a new technology and its use. Sometimes that shift is an increase in the technology itself that seemingly… Read More »Understanding the Role of Augmented Data Catalogs in Data Governance
DSC Webinar Series: Shadow AI, the Silent Killer of Deep Learning Productivity
In this latest Data Science Central webinar, meet Shadow IT’s younger sibling. Shadow AI is the result of one-off AI initiatives inside organizations, where siloed… Read More »DSC Webinar Series: Shadow AI, the Silent Killer of Deep Learning Productivity