model

Raymond Willey

Predicting Heart Disease MortalityBuilding a machine learning model that can identify high-risk…Integrating Python & TableauWhen performing in-depth analyses on large and…

learning, machine, model

Benjamin Obi Tayo Ph.D.

Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data ScienceMedium Partner Program’s New Model for Calculating…

hyperparameters, model, program’s

9 Practical Actions to Improve Machine Learning for Fraud Prevention

Start with simpler, more transparent, and explainable and bias-free models and graduate to complicated models over time. MODELS – Experiment…

fraud, model, online

A Gentle Introduction to Expectation-Maximization (EM Algorithm)

Last Updated on November 1, 2019 Maximum likelihood estimation is an approach to density estimation for a dataset by searching…

likelihood, maximum, model

Probabilistic Model Selection with AIC, BIC, and MDL

Model selection is the problem of choosing one from among a set of candidate models. It is common to choose…

model, parameters, selection

Why is Machine Learning Deployment Hard?

By Alexandre Gonfalonieri, AI Consultant. After several AI projects, I realized that deploying Machine Learning (ML) models at scale is…

data, model, production

A Gentle Introduction to Logistic Regression With Maximum Likelihood Estimation

Last Updated on October 28, 2019 Logistic regression is a model for binary classification predictive modeling. The parameters of a…

logistic, model, regression

A Gentle Introduction to Linear Regression With Maximum Likelihood Estimation

Last Updated on October 25, 2019 Linear regression is a classical model for predicting a numerical quantity. The parameters of…

likelihood, maximum, model

Build your First Linear Regression Model in Qlik Sense

Think about it before you read the answer. The best line is the one that minimizes the distance of all…

linear, model, regression

A Gentle Introduction to Bayesian Belief Networks

Probabilistic models can define relationships between variables and be used to calculate probabilities. For example, fully conditional models may require…

model, random, variables

Productionizing Machine Learning: From Deployment to Drift Detection

Try this notebook to reproduce the steps outlined below and watch our on-demand webinar to learn more. In many articles and…

drift, model, quality

Many Heads Are Better Than One: The Case For Ensemble Learning

By Jay Budzik, ZestFinance. “The interests of truth require a diversity of opinions. ” —J. S. MillBanks and lenders are…

ensemble, model, models

Common Machine Learning Obstacles

Sponsored Post. By Seth DeLand, Product Marketing Manager, Data Analytics, MathWorksEngineers and scientists who are modeling with machine learning…

best, classification, model

How to Implement the Inception Score (IS) for Evaluating GANs

Generative Adversarial Networks, or GANs for short, is a deep learning neural network architecture for training a generator model for…

inception, model, score

Guest Blog: Using Databricks, MLflow, and Amazon SageMaker at Brandless to Bring Recommendation Systems to Production

This is a guest blog from Adam Barnhard, Head of Data at Brandless, Inc. , and Bing Liang, Data Scientist at Brandless, Inc. Launched…

different, model, models

AutoML on Databricks: Augmenting Data Science from Data Prep to Operationalization

Thousands of data science jobs are going unfilled today as global demand for the talent greatly outstrips supply. Every day,…

hyperparameter, model, tuning

How (Not) To Scale Deep Learning in 6 Easy Steps

However, there’s an important flaw. The final evaluation on the held-out 10% validation data shows that true accuracy is more…

learning, model, training

How to Develop a CycleGAN for Image-to-Image Translation with Keras

The Cycle Generative Adversarial Network, or CycleGAN, is an approach to training a deep convolutional neural network for image-to-image translation…

discriminator, generator, model

A Comprehensive Guide to Build your own Language Model in Python!

Overview Language models are a crucial component in the Natural Language Processing (NLP) journey These language models power all the…

language, model, models

How to Implement CycleGAN Models From Scratch With Keras

The Cycle Generative adversarial Network, or CycleGAN for short, is a generator model for converting images from one domain to…

discriminator, generator, model

11 Important Model Evaluation Metrics for Machine Learning Everyone should know

Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics,…

classification, metrics, model

“Machine Learning Model Selection Using Cross-Validation” | Guest Post – Savaram Ravindra

A form of AI (Artificial Intelligence) that enables computers to learn by way of experience and observation without being explicitly…

learning, machine, model

Valentina Alto

Algorithmic Game Theory with NashpyGame Theory is a method of studying strategic situations. A ‘strategic’ situation is a setting…Reinforcement Learning: let’s…

field, learning, model

How to Implement Pix2Pix GAN Models From Scratch With Keras

The Pix2Pix GAN is a generator model for performing image-to-image translation trained on paired examples. For example, the model can…

discriminator, generator, model

OpenAI’s GPT-2: A Simple Guide to Build the World’s Most Advanced Text Generator in Python

Let’s begin. First, move into the src folder by using the chdir() just like we did before: View the code…

gpt-2, model, view