Prof. Ajay Agrawal, founder of the Creative Destruction Lab and co-founder of the AI/robotics company Kindred, explored the economics behind the creation of artificial intelligence.
In case you’re curious about how soon you’ll need to start working with qubits or worry about all encryption going away, here’s a realistic look at where we stand with quantum computing as of May 2018.
The pandas library is a powerful tool for multiple phases of the data science workflow, including data cleaning, visualization, and exploratory data analysis. However, proper data science requires careful coding, and pandas will not stop you from creating misleading plots, drawing incorrect conclusions, ignoring relevant data, including misleading data, or executing incorrect calculations.
In this tutorial session from PyCon Cleveland 2018, you’ll perform a variety of data science tasks on a handful of real-world datasets using pandas.
In another one of their great videos, Patrick from Guy in a Cube shows you how to combine Power BI Report Tooltips using DAX. Don’t worry, it’s just a little bit of DAX!
What is the Internet of Things and what is Microsoft doing about it?
These are high level questions we have not addressed thoroughly yet on the IoT Show. Tom Davis, PM lead in the IoT Business Acceleration team, joins us for a whiteboard session to literally draw us the big picture.
Here’s an interesting look at AI: where it’s headed and who’s on top in the global race to be the global AI superpower.
In this video, ColdFusion takes a closer look at the technology behind Google Duplex.
This wide-ranging episode of BBC Click is definitely worth watching.
Also, where can I get one of those laundry doing robots?
Siraj Raval promises to teach you Deep Learning in 6 weeks. Given his track record, it’s safe to say he can pull it off.