What’s an actor model? The actor model in computer science is a mathematical model of concurrent computation that treats "actors" as the universal primitives of concurrent computation. In response to a message that it receives, an actor can: make local decisions, create more actors, send more messages, and determine how to respond to the next…
Sure, here’s the corrected and rewritten version of the text: Yo, listen up! When a function accepts another function as an argument, that contained function is called a callback function. Using callbacks is a core functional programming concept. It’s like calling your bestie to ask for help, and they call you back with a solution….
Hey there! Want to install Tensorflow on your Windows machine? No worries, I’ve got you covered! Just follow the steps mentioned below. First things first, head over to the Anaconda website and install version 3.6. Once you’ve done that, open the terminal and check your python version by running python -V. It should print out…
Psst, hey you. Yeah, you. Have you seen this chart? Every software engineer worth their salt should remember this bad boy. It’s all about Big O concepts, which are super important, especially when designing APIs. That’s it. That’s the tweet. But seriously, Big O notation is key for understanding how algorithms scale and how much…
Hoisting is a funky Javascript mechanism where variables and functions get moved around like they’re playing a game of musical chairs. Here’s the deal: Only declarations get hoisted. Assignments or other executable logic are left in place, just like your friend who always bails on moving day. Functions get hoisted first and then variables, kind…
Depth-First Search (DFS) In DFS, we start from a node and go down a path until we reach a node that has no children. Whenever we run out of moves, we backtrack and explore the sibling of the node. And if there are no siblings, we go for the sibling of the grandparent and so…
Linear Regression is the most commonly used predictive analysis. It is used to model the relationship between a dependent variable and one or more independent variables. In this project we create an ML pipeline to train a linear regression model to predict the release year of a song given a set of audio features. We…
Hey there! So we decided to create a Word Count application – a classic MapReduce example. But what the heck is a Word Count application, you ask? It’s basically a program that reads data and calculates the most common words. Easy peasy. For example: dataDF = sqlContext.createDataFrame([('Jax',), ('Rammus',), ('Zac',), ('Xin', ), ('Hecarim', ), ('Zac', ),…
Hey, so I’m a big fan of Apache Spark and I’ve been using it for all of my independent projects. I recently had this idea to create a project that would showcase how to do some data wrangling with Apache Spark. For this project, we used Apache Spark 2.0.2 on Databricks cloud. Instead of using…
Hey there! Let’s talk about this dataset from RealClearPolitics and the US Presidential Election. Before we dive in, let’s get on the same page about a few things: The US Presidential Election happens every four years. There are 50 states in the US and each gets a certain number of electoral votes based on its…