Machine Learning

If you’re in the field of data science, you’ve probably heard the term “one hot encoding”. Even the Sklearn documentation tells you to “encode categorical integer features using a one-hot scheme”. But, what is one hot encoding, and why do we use it?Most machine learning tutorials and tools require you to prepare data before it can be fit to a particular ML model. One hot … [Read more...] about Data Science in 5 Minutes: What is One Hot Encoding?

The Latest buzzword floating around is Machine Learning. What is machine learning? Why do we need Machine learning?Whenever we hear machine learning, we think of some sort of robot who is getting us to an apocalypse or a computer nerd, who uses a whole lot of math. But in reality, machine learning is not so complicated, and anyone can use it to create some of the most amazing … [Read more...] about Introduction To Machine Learning

Khơi dậy những tiềm năng bị lãng quênPhoto by Joshua Aragon on UnsplashCentroid Neural Network (CentNN) là thuật toán phân cụm hiệu quả và ổn định đã được áp dụng thành công cho nhiều bài toán. CentNN không yêu cầu hệ số học (learning coefficient) được xác định trước nhưng vẫn mang lại kết quả phân cụm cạnh tranh so với K-means Clustering và Self-Organization Map (SOM) khi mà … [Read more...] about Lập trình thuật toán Centroid Neural Network sử dụng thư viện Numpy

Importing Necessary libraries👨‍🚀# import resources%matplotlib inlinefrom PIL import Imageimport matplotlib.pyplot as pltimport numpy as npimport torchimport torch.optim as optimfrom torchvision import transforms, modelsLoad VGG19 🧑‍🚀VGG19 is split into two portion:vgg18.features, which are all the convolutional and pooling layers.vgg19.classifier, which are the three linear, … [Read more...] about Let’s be Artist using Deep Learning🧙‍♂️

“Getting a clean dataset to be analyzed!”, — this might sound simple, but in reality, it is something which is incorporates another process, called data pipeline, which might start from extracting the data, examining data quality, transform the data into the format we want to analyze, cleaning up the data from missing or invalid values, down to setting up a parallel computing … [Read more...] about Analyticbox.id | Data Driven Insight

THE SUPPORT VECTOR MACHINE GUIDESection 2: Building the Model in PythonReference What is Support Vector Machine? Section 1: Defining the Model, prior to continuing…[1] Import Librariesimport numpy as npimport matplotlib.pyplot as pltimport pandas as pdNumPy is a Python library used for working with arrays.Matplotlib is a Python library used for creating static, animated, and … [Read more...] about How to Implement Support Vector Machine?

Most ML engineers are familiar with the quote, “Garbage in, garbage out”. Your model can perform only so much when the data it is trained upon is poorly representative of the data. What do I mean by ‘representative’? It refers to how well the training data population mimics the target population; the proportions of the different classes, or the point estimates (like mean, or … [Read more...] about 3 Reasons Why Your Machine Learning Model Is Garbage

Alright, we know a random forest is made up of decision trees, and we have a rough idea what a decision tree is. How many trees are in the forest? The number of trees is determined by the user. Selecting the number of decision trees is important and often comes down to a simple cost-benefit equation: the cost of calculating more trees vs the possible benefit of increased … [Read more...] about A primer for…Random Forests

Originally published at http://thescinder.com on February 16, 2021, friends can read this article here: https://bit.ly/carle_2.B3/S345678I’m running a contest based on open-ended exploration and machine creativity in Life-like cellular automata. It’s slated to be an official competition at the 2021 IEEE Conference on Games. If that sounds like something you could get into, … [Read more...] about Introduction to Life and Other Pasttimes

Let us begin by looking at the jargon for data. A bit (binary digit) is the smallest form of data in computer science. It is thought of as an atom. A bit can be 0 or 1. It is typically used to measure the amount of data transmitted from one area to another — for example, the amount of data transferred from within the Internet. A byte is used for storage and can get very … [Read more...] about Data as Power Source for Artificial Intelligence(AI)