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How to Use a Knowledge Graph to Power a Semantic Data Layer for Databricks

How to Use a Knowledge Graph to Power a Semantic Data Layer for Databricks

Knowledge Graphs have become ubiquitous, we just don’t know it. We experience it every day when we search on Google or watch the feeds that run through our social media accounts of people we know, companies we follow or the content we like. Similarly,

Robot overcomes uncertainty to retrieve buried objects

Robot overcomes uncertainty to retrieve buried objects

For humans, finding a lost wallet buried under a pile of items is pretty straightforward — we simply remove things from the pile until we find the wallet. But for a robot, this task involves complex reasoning about the pile and objects in it, which presents

Why Poor Data Quality is Holding Back Big Data

Why Poor Data Quality is Holding Back Big Data

Remember the old adage, “Garbage in, garbage out”? We can’t expect an algorithm to deliver accurate insights if it is fed with low quality data. Yet, all too often poor data quality only becomes a recognised issue when the algorithm starts delivering

Wanna become Value-driven? Time for a Culture Shift! - DataScienceCentral.com

Wanna become Value-driven? Time for a Culture Shift! - DataScienceCentral.com

I am honored to collaborate on this week’s blog with Fran Willis White, an industry expert on the role of change leadership and employee empowerment to drive cultural transformation.  In collaborating on this blog, I discovered many similarities in the

Darts: Time Series Made Easy in Python

Darts: Time Series Made Easy in Python

Time series simply represent data points over time. They are thus everywhere in nature and in business: temperatures, heartbeats, births, population dynamics, internet traffic, stocks, inventories, sales, orders, factory production — you name it. In

Different Types of Cloud-based Services - Analytics Vidhya

Different Types of Cloud-based Services - Analytics Vidhya

Different Types of Cloud-based Services This article was published as a part of the  Data Science Blogathon . Introduction Cloud computing is one of the fastest-growing IT technologies today. By 2025, 83% of enterprise workloads will be in the cloud.

The potential of AI – are we at a time where creativity should be passed to machines?

The potential of AI – are we at a time where creativity should be passed to machines?

It is now the student, teacher, and special advisor to millions of people across the world. But, have we reached the inflexion point where AI is able to be more intelligent and creative than humans? The short answer is no, not yet.  We’re at a time when

Auto Encoders -An Introductory Guide For Data Science Beginners

Auto Encoders -An Introductory Guide For Data Science Beginners

Auto Encoders -An Introductory Guide For Data Science Beginners This article was published as a part of the  Data Science Blogathon Objective This article’s main aim is to generate the images using Auto-encoder and understand its concepts, applications,

Deep Learning Chatbots: Everything You Need to Know | 7wData

Deep Learning Chatbots: Everything You Need to Know | 7wData

When you’re creating a chatbot, your goal should be to make one that it requires minimal or no human interference. This can be achieved by two methods. With the first method, the customer service team receives suggestions from AI to improve customer