PawHavenpawhavens.uk·Nov 9, 2024Boost Design Projects with Cake Khoki Playful FontElevate Your Design Projects with Cake Khoki: The Perfect Playful Font Are you looking to add a touch of fun and boldness to your design projects? Whether you're creating posters, invitations, or any creative project, choosing the right font can make...Discussamusing
Mohamed Abdelwahabdataclin.hashnode.dev·Oct 29, 2024Bias-Variance Trade offHitting the Bullseye: How Bias and Variance Impact Your Model's accuracy? image1? Image generated by chatgpt Imagine you're playing darts. You don't want to be a one-hit wonder who can only hit the bullseye when you've practiced on that exact spot. Y...DiscussMachine LearningMachine Learning
FMZ Quantfmzquant.hashnode.dev·Jun 12, 2024A Powerful Tool for Programmatic Traders: Incremental Update Algorithm for Calculating Mean and VarianceIntroduction In programmatic trading, it is often necessary to calculate averages and variances, such as calculating moving averages and volatility indicators. When we need high-frequency and long-term calculations, it's necessary to retain historica...Discussalgorithms
Retzam Tarleretzam.hashnode.dev·Jun 3, 2024Supervised Learning Regressionprint("Supervised learning regression") Regression in supervised learning tasks uses continuous values to make predictions. This uses quantitative feature vectors. In our previous chapters, we talked about supervised learning classification, which is...DiscussMAE
Haocheng Linhaochengcodedev.hashnode.dev·Apr 30, 2024Understanding and Calculating the Variance of Sample MeanIntroduction When working with a set of data points, understanding the variability within the data is crucial for drawing meaningful conclusions. One fundamental measure of variability is the variance, which quantifies how much the values in a datase...Discussstatistics
Juan Manuel González Kapnikjust-juanma.hashnode.dev·Jan 20, 2024Describing Covariance: Disassembling The ConceptConsolidating Fundamental Concepts What is covariance? It was the first thing I asked myself when solving the exam of module one of the last course of the specialization of mathematics for machine learning. Consequently, I was forced to first interpr...Discusscovariance
Namya Shahbigsmoke.hashnode.dev·Dec 26, 2023Python Statistics ModuleFunctions for Statistical Calculations: statistics.mean(): Calculates the arithmetic mean of a sequence of numbers. statistics.median(): Calculates the median of a sequence of numbers. statistics.mode(): Calculates the mode of a sequence of number...Discussharmonic mean
Krishna Kapoorhashnoob.hashnode.dev·Jul 2, 2023Bias vs Variance: A TradeoffBias The bias-variance tradeoff is a fundamental concept in machine learning and statistics that relates to the performance of predictive models. It represents the tradeoff between the bias(underfitting) and variance(overfitting) of a model. Bias is ...Discuss·1 likeBlogging
Md.Anisur Rahmananisurrahmansblog.hashnode.dev·May 7, 2023Principal Component Analysis in MLIn short,PCA(Principal Component Analysis) is a dimensional reduction technique used for high dimensional dataset(i.e many columns) , it's basically taking a snap shot of the dimension of data from an angle so that we can capture the max varience of ...Discuss·1 likeMachine Learning
Smart Shocksmartshock.hashnode.dev·Apr 11, 2023Continuous Probability DistributionsIntroduction Probability distributions are a fundamental concept in statistics and data science. Continuous probability distributions are an essential subset of probability distributions, and they play a crucial role in statistical analysis, decision...Discuss·56 readsThe Essential Probability Concepts for Data Scientists#variance
