The Data + AI Summit is only a few weeks away — May 24–28 (FYI: the virtual general conference is free). The first two days are reserved for both complimentary and paid trainings. The last three days are for the hundreds of interesting sessions that cover a wide range of…
At this point in the series, sufficient concepts and information about Dynamic Programming have been covered, such as optimal substructure, overlapping sub-problems, problem analysis and the techniques at arriving at the recurrence relation. …
From the previous blog (Top Down & Bottom Up), we learned the essence of solving Dynamic Programming problems is to derive the recurrence relation, and then use either the top-down or bottom-up approach to translate it to code. Therefore it is important to master the problem analysis and the techniques…
The previous blog post “Dissecting Dynamic Programming — The Beginning” described two important concepts in Dynamic Programming, then illustrated them using the Fibonacci Sequence example, and finally it ended with some details about translating a recurrence relation to code.
This blog post will share a few insights about how to…
I find Dynamic Programming fascinating and intellectually challenging. The goal of this “Dissecting Dynamic Programming” series is to share the insights I gather while studying and solving this class of problem.
“The Best Way to Learn Something is to Teach it to Someone Else” is one of the well-known proverbial…
An awesome post from HBR website provides many great management tips. Below is a summary of the tips that are resonated with me. Along the way, I inject a few suggestions of my own.
Timebox your to-do list
We all have a to-do list and it gets longer and longer. …
With the release of Apache Spark 2.4 in November 2018, the Data Source V2 APIs became more stable. The design and the work for this major improvement is documented in Jira ticket SPARK-15689. If you trace through the design document and the sub-tasks of the aforementioned Jira ticket, you will…
