This course aims to cover various tools in the process of data science for obtaining, cleaning, visualizing, modeling, and interpreting data. Most of the tools introduced in this course will be based ...

It is well-known that data scientists spend about 90% of their time performing data logistics-related tasks. After that part is done, to some degree, the data scientist finally gets to ask questions ...

B y the end of this course, you will be able to identify the key components of the data mining pipeline and describe how they're related. You will be able to identify particular challenges presented ...

Identify the key components of the data mining pipeline and describe how they're related Apply techniques to address challenges in each component of the data mining pipeline. Identify particular ...

NVIDIA has launched an open source project called Real-time Acceleration Platform for Integrated Data Science (RAPIDS) that aims to deliver end-to-end data science infrastructure based on GPUs.

DataRobot is looking for a Data Science Software Engineer to build production-ready AI solutions that help organizations around the globe adopt AI/ML at scale.

CryptoNumerics, a Toronto-based enterprise software company, announced the launch of CN-Protect for Data Science which enables data scientists to implement state-of-the-art privacy protection, such as ...

Practical applications of Artificial Intelligence (AI) technologies gained momentum in 2018. For example, machine learning algorithms were used across various industries to support use cases as ...