In this episode, we have the privilege of hosting David Weekly, a prominent figure in the tech industry. David takes us on a journey through the world of ‘real world data,’ shedding light on the challenges that data scientists face, from collection errors to systems of reasoning. Tune in for a thought-provoking discussion on the intricacies of data science.
In this episode, we have the privilege of hosting Katy Pusch, a leading expert in the field of data science. Katy provides invaluable insights into the art of human-data interaction, offering guidance on managing PII (Personally Identifiable Information), making informed decisions about data collection tools, and steering clear of common pitfalls. Don’t miss this engaging conversation that deepens your knowledge of data science.
Introduction to Data Products LLC (www.dataproducts.io)
On Nov. 23rd, 2020 Dr. Mechie Nkengla (Chief Data Strategist for Data Products LLC) will give a talk on “An […]
In just four minutes, delve into the concepts of Volume, Velocity, and Variety as Dr. Nkengla demystifies the complexities of Big Data.
From sentient robots to hairless cats, Dr. Nkengla uses relatable examples to unravel the distinctions between these transformative technologies.
Customize your data pipeline by applying unique transformations to each column effortlessly.
Python’s sklearn library empowers you to perform linear regression with precision. Dive into the make_regression() function and gain full control over your dataset’s characteristics.
While design and construction contribute, the real driving force behind efficiency in smart buildings is data and analytics. Real-time data collection and predictive analytics enable dynamic, energy-efficient structures that adapt to occupants’ needs.
Choosing the right analytics approach is key. Descriptive analytics reviews past data, Predictive analytics forecasts the future, and Prescriptive analytics guides your organization on what actions to take.