@rkenmi - Search Results

Machine Learning Basics

... Regression Model Hyperparameters Hyperparameters are configurations used to tune the machine learning algorithm and are not derived from data. Instead, these values are, generally speaking, inputted manually and cannot be derived automatically.

January 5, 2020

DataFrames (a software engineer's perspective)

... is a DataFrame? A DataFrame is a special data structure used primarily by data scientists and machine learning algorithms. It contains row and column data in tabular fashion by storing metadata about each column and row.

May 2, 2022

CNN - Convolutional Neural Networks

Intuition Compared to RNN, CNN tackles a different kind of issue. When working with images or data that has spatial structure, it turns out that the conventional way of converting the input data to a 1D array (a flattened version) produces some lackluster results.

November 23, 2020

RNN - Recurrent Neural Networks

Recurrent Neural Networks Intuition For sequential modeling, we may have inputs that can vary wildly and depend on more contextual information that a feed-forward neural network (the simplest of neural networks) can't handle.

November 15, 2020

Big Data Processing: Batching vs. Streaming

... however you like). Another popular use case is to supply this data to data scientists for machine learning use, such as for building a classification model. MapReduce vs.

January 3, 2022

NumPy vs. Pandas, and other flavors (Dask, Modin, Ray)

... DataFrame A DataFrame is a special data structure used primarily by data scientists and machine learning algorithms. It contains row and column data in tabular fashion by storing metadata about each column and row.

May 26, 2022

Web Development 101

HTTP vs. HTTPS HTTP stands for Hypertext Transfer Protocol. It typically runs on TCP port 80. It is a protocol for sending data through browsers in the form of webpages and such. One major flaw with HTTP is that it is vulnerable to man in the middle attacks.

November 9, 2017