A.I, Data and Software EngineeringA common use for notebooks is data visualization using charts. It is easy with several charting tools available as Python imports. This article covers some common charts using matplotlib.
Matplotlib
Matplotlib is the most common charting package, see its documentation for details, and its examples for inspiration.
Charting
TensorFlow 2.0 is out! Get hands-on practice at TF World, Oct 28-31. TensorFlow Ads Since the TF2.0 API reference lists have already been made publicly available, TF2.0 is still in RC.2 version. It is expected that the final release will be made available in the next few days (or weeks). What’s new in TF2.0: The obvious different – The version. In Colab, you can force using 2.0 by:...
During a meet up last month, a friend told me about the current project on a farm in New Zealand. They want to build a system to grade their fruits and AI is the technology they are looking for. It inspired me to write about how machine learning can help in solving such a problem. Fig 1: Apple grading The grading task Given an apple, we need to sort it to correct category in three available...
You could have been playing with this concept so many times without knowing the name of ETL. Let have a quick concept review using MovieLens automation as examples. Concept According to Wikipedia: Extract, Transform and Load (ETL) refers to a process in database usage and especially in data warehousing that: Extracts data from homogeneous or heterogeneous data sources Transforms the data for...
Machine learning is a terminology to describe the uses statistical techniques to give computer systems the ability to “learn” (e.g., progressively improve performance on a specific task) from data, without being explicitly programmed. You can think of machine learning as the brains behind AI technologies, and AI technologies do the actions. More technically, machine learning...
A.I, Data and Software Engineering