In this video we will talk about the problems encountered in data science. We'll also discover how it fits into a process, which you can used as a plan. Finally, we'll look at the impacts of a Data Science project which will help you avoid any common pitfalls.
This section introduces Data Science. It explains what it is and why we need it. We discuss some of the reasons for doing Data Science and provides famous examples from around the world.
What is Artificial Intelligence? Where did it start? Why has it entered the mainstream now?
Dr. Phil Winder
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8 min
Slides Abstract The Hitchhiker’s Guide says the meaning of life is 42. Considering that the field of Data Science is going through a period of …
Data science is a combination of disciplines. Learn about machine learning, AI, deep learning, etc.
Dr. Phil Winder
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6 minAbstract The proliferation of Data Science is largely due to: ubiquitous data, increasing computational power and industry acceptance that solutions are an …
Case studies and industry analysis from our team. No hype, roughly monthly.