A binary tree is one where each of its nodes has maximum two children nodes. These children are mostly known as Left and Right child. 1. In-order Traversal It goes from left child then current node then right childSo for the given tree above it will be: [2,17,7,19,3,100,25,36,1] 2. Pre-order Traversal It first deals with […]
First check out the problem description here on LeetCode. The Solution This is marked as a medium difficult problem. However if you know what in-order traversal does, it is a very simple problem. Here I just added a helper traverse() method. All the trick is done in the few lines inside the function. It checks […]
Discussion on the implementation of queue data structure
This is the recommended template for a Project Proposal for a freelance Machine Learning project. This is my personal choice, and definitely depending on project requirements, you might need to explicitly modify change/modify/add to this list. One size does not always fit all for Machine Learning projects. But anyway this could be a good starting point.
Running through the popular Product Management framework CIRCLES
The most valuable leadership traits: Listens effectively and coaches others Encourages others to take measured risk Takes blame of the subordinates when they take risk but attributes credit to the subordinates Explain the why, gives a clear expectation of the result along with the timeline, provides resources to achieve the result Shows empathy Communicates well […]
Quick introduction to basic Reinforcement Learning algorithms including Bellman Equation, Policy Iteration, Value Iteration, and Q-Learning
Collection of useful tips when working with Big Data tools including Hadoop, Hive, Spark
Integrating Apache Hive with Kafka, Spark, and BI: https://docs.cloudera.com/HDPDocuments/HDP3/HDP-3.1.5/integrating-hive/content/hive_hivewarehousesession_api_operations.html
Random Projection is an interesting Dimensionality Reduction technique. You may choose to create a random projection for 1,2,3,..,n dimensional projections. Now how to tell which one is best? So you would need to calculate loss of data due to this reduction in data size. # data has this shape: row, col = 4898, 11 random_projection […]