Here is the link for the driver download
For one point added to your final grade, here’s what I’m looking for. Read these following three Q&As and give me 100 words on one of them (your choice).
- Death and data science: How machine learning can improve end-of-life care
- A day in the data science life: Salesforce’s Dr. Shrestha Basu Mallick
- The data science life: Intuit’s Ashok Srivastava on AI, machine learning, and diversity of thought
The 100 words should focus on one of the following:
- What are the challenges with this topic in regards to data science?
- How do you foresee analytics affecting the fields that are in the interviews (end of life care, sales assistance and product development)?
- What was your biggest takeaways from these data scientists?
This will be due on Dec. 3 to me before class via email.
Yes, data scientist is the hot career of the moment, but when someone asked on Quora what the downsides were the answers were pretty telling. Here’s a look at what data scientists had to say.
A note about that first reading: It’s a bit dated and Hadoop has advanced since that article. Much of the focus in the open source community has been on side projects tied to Hadoop. One common theme is that analytics and better user interfaces are being layered onto Hadoop. Most companies would use Hadoop via companies like Cloudera and Hortonworks. These companies package Hadoop and sell services and support. To see what I mean re Hadoop and its other projects see the primary Apache page. For our purposes, we’ll keep Hadoop high level, but in the data science department, internship interviews etc you may want to know about projects like Hive, Cassandra, Pig and Spark.