Sampling is concerned with the selection of a subset of individuals from within a population to estimate characteristics of the whole population. Researchers rarely survey the entire population because the cost of a census is too high. The three main advantages of sampling are that the cost is lower, data collection is faster, and since the data set is smaller it is possible to … [Read more...] about SAMPLING THEORY AND ESTIMATION
Machine Learning
Can’t See the Random Forest for the Decision Trees
Photo by Danka & Peter on UnsplashThe saying “can’t see the forest for the trees” is generally used to describe someone that is so focused on a small portion or detail that they miss the big picture. That idiom can be useful in many different scenarios, but fits especially perfect when talking about Random Forest and Decision Trees.It would be impossible to explain Random … [Read more...] about Can’t See the Random Forest for the Decision Trees
My Machine Learning Internship Experience — Part 1
The biggest challenge that I’m sure everyone is either going through or has gone through is imposter syndrome. Some of the things that my colleagues did during their first week should have been obvious to me, but I felt like too much of an imposter to actually follow suit. I always thought that I could only have a small impact, but the matter of fact was that only I stopped … [Read more...] about My Machine Learning Internship Experience — Part 1
How To Import and Visualize Stock Market Data Using Python
By Mr. Data ScienceThroughout this article, I will:Show you how to import individual and multi stock datasets using the yfinance libraryDescribe several techniques you can use to visualize stock dataI’ll assume:Python is installed on your machine and you can install necessary libraries on your ownYou are familiar with the python programming language and its syntaxSetting Up … [Read more...] about How To Import and Visualize Stock Market Data Using Python
Technical Fitness
How Fit Are You?There are plenty of recognizable and relatively accurate standards that measure various types of fitness such as physical, mental, financial, and even cultural fit to an organization or company. Each Armed Service uses an annual or biannual Physical Readiness Test (PRT) to measure the fitness of its soldiers, sailors, marines, and airman; Credit Score agencies … [Read more...] about Technical Fitness
Prediction Intervals for Deep Learning Neural Networks
Prediction intervals provide a measure of uncertainty for predictions on regression problems. For example, a 95% prediction interval indicates that 95 out of 100 times, the true value will fall between the lower and upper values of the range. This is different from a simple point prediction that might represent the center of the uncertainty interval. There are no standard … [Read more...] about Prediction Intervals for Deep Learning Neural Networks
Support Vector Machine for Hand Written Alphabet Recognition
The objective of writing this article is to use very crude approach of doing image classification, in this case images of hand written text. While we use Convolutional Neural Network models from scratch or use pre trained model on MNIST data sets, its more preconditioned for this job. We use transfer learning and in that process as a student myself, I miss out on the very … [Read more...] about Support Vector Machine for Hand Written Alphabet Recognition
The Bitter Lesson
SourceDeep learning methods can solve many challenging problems today and are even more successful than humans. This article will see how artificial intelligence is getting stronger with processing power and how it is weakened by human knowledge.Artificial intelligence started by taking the example of the human brain. Why not mimic it if we have a working sample? We can ask the … [Read more...] about The Bitter Lesson
Classification of Cardiovascular Disease Using eXtreme Gradient Boosting (XGBoost)
Sebelumnya kita import terlebih dahulu library-library ini digunakan untuk dapat memanggil berbagai fungsi yang akan memudahkan kita dalam proses implementasi untuk pembuatan program.# u/ mengabaikan warnings / peringatanimport warningswarnings.filterwarnings("ignore")# u/ menghubungkan ke gdrivefrom google.colab import drivefrom google.colab import files# u/ mengolah data … [Read more...] about Classification of Cardiovascular Disease Using eXtreme Gradient Boosting (XGBoost)
How to Apply Machine Learning to Business Problems « Machine Learning Times
By: Daniel Faggella, Emerj Originally published in Emerj, April 25, 2020. It’s easy to see the massive rise in popularity for venture investment, conferences, and business-related queries for “machine learning” since 2012 – but most technology executives often have trouble identifying where their business might actually apply machine learning (ML) to business problems. With new … [Read more...] about How to Apply Machine Learning to Business Problems « Machine Learning Times