machine learning using python
In deep learning, optimizers are the type of function which are used to adjust the parameters of the model. The optimizers are used in deep learning to adjust the weights and biases of the neural networks and reduce the overall loss from the model to achieve higher accuracy. There are many types of optimizers used …
Nesterov Accelerated Gradient (NAG) Optimizer in Deep Learning Read More »
Topology is a classical branch of mathematics, born essentially from Euler’s studies in the XVII century. It deals with the abstract notion of shape and geometry. The last decades were characterized by a renewed interest in topology and topology-based tools, due to the birth of computational topology and Spatial Data Analysis (SDA). Successful applications of …
2 Brilliant Breakthroughs in Computational Topology Using Machine Learning Read More »
NeuroJson, founded by Qianqian Fang, is an open-source project which aims to create easy-to-adopt, easy-to-extend, and preferably human-readable data formats to help disseminate and exchange Neuro-imaging data (and scientific data in general). It primarily uses JSON and binary JSON (specifically, UBJSON UBJSON derived Binary JSON format) as the underlying data exchange files. Table of content …
NeuroJSON: A Potential Neuro-Imaging Library For Python Read More »
This article is a gentle introduction to symmetric indefinite matrices in Python Table of content What are symmetric indefinite matrices andwhere are they used? Implementing symmetric indefinite matrices (SYMMQL) in python Comparing convergence rate of SYMMLQ, CG (Conjugate Gradient), and MINRES by solving the following classical symmetric indefinite system What are symmetric indefinite matrices and …
Decoding Symmetric Indefinite Matrices In Python Read More »
Biosim4 is a project in which there’s a 2-dimensional world where creatures with neural brains live in it. They have genomes (complete genetic information) that they pass on from one generation to the next generation, And these creatures have neural network brains that govern their behaviour. This project aims to try setting up the conditions …
Biosim4: Framework For Evolution With Neural Networks Read More »
#12 association analysis Machine Learning ♡ supervised learning 👉 ♡ unsupervised learning ♡ reinforcement learning unsupervised learning is where your program has to find how the data relates to each other. there is no prior training types of unsupervised learning ♠️ clustering ♠️ association association analysis finds associations between items, like what customers usually buy …
#11 unsupervised learning Machine Learning ♡ supervised learning 👉 ♡ unsupervised learning ♡ reinforcement learning unsupervised learning is where your program has to find how the data relates to each other. there is no prior training types of unsupervised learning ♠️ clustering ♠️ association 🎲 clustering the k means (the distance-based) algorithm is used to …
#10 naive bayes Machine Learning 👉♡ supervised learning ♡ unsupervised learning ♡ reinforcement learning recap: 🔖 types of supervised learning ✅ classification 📑 ✅ regression 📈 ✅ mixed ⚗ naive bayes classification ⚱ bayes theorem bayes theorem states that P(B|A) = (P(A|B) * P(B)) / P(A) Probability of B given A = … 🔎 naive …
#9 neural networks Machine Learning 👉♡ supervised learning ♡ unsupervised learning ♡ reinforcement learning recap: 🔖 types of supervised learning ✅ classification 📑 ✅ regression 📈 ✅ mixed ⚗ – tree based – random forest – neural networks 🎈 – support vector machines neural networks neural networks require a bit of explanation. entire books can …
#8 support vector machines Machine Learning 👉♡ supervised learning ♡ unsupervised learning ♡ reinforcement learning recap: 🔖 types of supervised learning ✅ classification 📑 ✅ regression 📈 ✅ mixed ⚗ – tree based – random forest – neural networks – support vector machines 🎈 support vector machines (svm) 🔎 support vectors : read on to …
Machine Learning Part 8: Support Vector Machines Read More »
#7 random forest Machine Learning 👉 ♡ supervised learning♡ unsupervised learning♡ reinforcement learning recap:🔖 types of supervised learning ✔ classification 📑 ✔ regression 📈 ✔ mixed ⚗– tree based – random forest 🎈– neural networks– support vector machines 🌳 overfitting and the problem with trees trees classify by drawing square boxes around the data, which …
Machine Learning part 7: Random Forests Explained Read More »
Machine Learning 👉 ♡ supervised learning ♡ unsupervised learning ♡ reinforcement learning recap: 🔖 types of supervised learning ✔ classification 📑 ✔ regression 📈 ✔ mixed ⚗ tree based :balloon: random forest neural networks support vector machines 🎗 enthropy enthropy is just another word for expected value in the past post, we decided what to …
#5 mixed methods Machine Learning 👉 ♡ supervised learning♡ unsupervised learning♡ reinforcement learning types of supervised learning ✔ classification 🗒 ✔ regression 📈 ✔ mixed ⚗– tree based– random forest– neural networks– support vector machines mixed methods are used for classification and regression. 🌱 tree based method those trees used for both for classification and …
#4 gradient descent and cost function Machine Learning 👉 ♡ supervised learning♡ unsupervised learning♡ reinforced learning ☄ cost function cost function is also called mean squared error. well mean means sum of elements / number of elements. here we take the sum of all squared errors (error1 ^ 2 + error2 ^ 2 + error3 …
Machine Learning part 4: Gradient Descent and cost function Read More »
Machine Learning ♡ supervised learning♡ unsupervised learning♡ reinforcement learning #2 supervised learning in supervised learning we have labelled data available. the machine just see and do as we do. types of supervised learning ✅ classification 🔖 :– logistic regression– supervised clustering ✅ regression 📈 – linear regression (single value)– multivariate linear regression ✅ mixed ⚗– …
