Hi there!
It’s Kan from Exploratory. Hope you are doing well.
As mentioned last week, we have opened the enrollment for the next on-line Data Science Booster training in June. As always, we have the student discount plan. Also, now we support PayPal as one of the payment types!
The early bird will end soon (by end of this month), if you are interested in learning how to analyze data with various Data Science methods, sign up today!
Now, here’s this week’s update!
What We Are Reading
Artificial Intelligence - The Revolution Hasn’t Happened Yet - Link
This is a great and must-read essay from Michael I. Jordan, a Professor in the Department of Electrical Engineering and Computer Sciences and the Department of Statistics at UC Berkeley or also known as a director of AMP Lab at UC Berkeley, the group who built Spark.
In this essay, he explains what AI is (and is not) from the historical point of view as well as its current state, and suggest the next true big things are IA (Intelligent Augmentation) and II (Intelligent Infrastructure), not AI.
This does not only calm down the current hype around AI but also helps us see the trend and the opportunities in Data Science clearly. It’s long, but highly recommend you read it through.
Arrow and beyond: Collaborating on next generation tools for open source data science - Link
We like when R takes ideas from Python and Python takes ideas from R because that makes both tools better. R’s tidyverse and Python’s Pandas have both evolved rapidly because of such inspiration. Now, we love when the forces behind those two greatest things in the world of data science even work together. (Hadley’s team and Wes’s team) It’s a great news that makes all of us happy and excited for what’s coming out of such collaboration.
How Netflix’s Customer Obsession Created a Customer Obsession - Link
Gibson Biddle, former VP of Product at Netflix, talks about how his team was conducting data analysis and experimentations to understand their customers better, which is called as Consumer Science coined by Reed Hastings, the CEO.
This is a practically useful advice for those who want to build great products and businesses based on deeper understanding of their customers through data analysis with real world examples.
China’s Social Credit Score - Link
“By 2020, China plans to give all its 1.4. billion citizens a personal score, based on how they behave. Some with low scores are already being punished if they want to travel. Nearly 11 million Chinese can no longer fly and 4 million are barred from trains”
Basically, China has done what Google/Facebook always wanted to do. Give a score to each every single people.
Quote of the Week
“In my whole life, I have known no wise people (over a broad subject matter area) who didn’t read all the time — none. Zero.”
Charlie Munger, Self-made billionaire & Warren Buffett’s longtime business partner
Data
US National Park Visitor Count Data - Link
US National Park Service makes all the parks’ visitor use data available on-line.
What We Are Writing
I have published two more episodes for “A Beginner’s Guide to Linear Regression ” series.
- A Beginner’s Guide to EDA with Linear Regression - Part 4 - Link
- A Beginner’s Guide to EDA with Linear Regression - Part 5 - Link
And Kei from Team Exploratory has published the following post last week.
- Reverse Geocoding Part 2 - Using Google Maps API with R - Link
What We Are Working On
We are enhancing Time Series Forecasting feature under Analytics view for the next version, Exploratory v4.4. As the first step, we are enhancing the existing Time Series Forecasting with Prophet algorithm by adding Summary view where you can find some of the model performance metrics such as MAE, MAPE, and RMSE, and adding Trend Change Points under Trend tab.
Summary View
Training and Test Data Auto Split
Trend Change Points
Data Science Booster Training
We have opened the enrollment for the next online Data Science Booster training in June. If you are a current student, click here to get the student discount. Also, now we support PayPal as the payment option!
The early bird discount will end soon (end of this month). If you are interested in learning Data Science without programming, make sure to sign up soon!
That’s it for this week.
Have a wonderful week!
Kan CEO/Exploratory
This is a weekly email update of what I have seen in Data Science / AI and thought were interesting, plus what Team Exploratory is working on.