Pickl AI

DECEMBER 10, 2024

They vary significantly between model types, such as neural networks , decision trees, and support vector machines. Combine with cross-validation to assess model performance reliably. They define the model’s capacity to learn and how it processes data.

Machine Learning 52

Machine Learning Machine Learning Cross Validation Algorithm 52

Pickl AI

NOVEMBER 28, 2024

Support Vector Machines (SVM) SVMs are powerful classifiers that separate data into distinct categories by finding an optimal hyperplane. Model Evaluation and Tuning After building a Machine Learning model, it is crucial to evaluate its performance to ensure it generalises well to new, unseen data.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Pickl AI

NOVEMBER 18, 2024

Ethical considerations are crucial in developing fair Machine Learning solutions. Basics of Machine Learning Machine Learning is a subset of Artificial Intelligence (AI) that allows systems to learn from data, improve from experience, and make predictions or decisions without being explicitly programmed.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Mlearning.ai

NOVEMBER 30, 2023

Mastering Tree-Based Models in Machine Learning: A Practical Guide to Decision Trees, Random Forests, and GBMs Image created by the author on Canva Ever wondered how machines make complex decisions? Just like a tree branches out, tree-based models in machine learning do something similar. Originally published at [link].

Machine Learning 52

Machine Learning Machine Learning Decision Trees Data Science 52

Heartbeat

OCTOBER 23, 2023

By analyzing historical data and utilizing predictive machine learning algorithms like BERT, ARIMA, Markov Chain Analysis, Principal Component Analysis, and Support Vector Machine, they can assess the likelihood of adverse events, such as hospital readmissions, and stratify patients based on risk profiles.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Big Data Analytics 52

Pickl AI

AUGUST 9, 2024

Students should learn how to leverage Machine Learning algorithms to extract insights from large datasets. Key topics include: Supervised Learning Understanding algorithms such as linear regression, decision trees, and support vector machines, and their applications in Big Data.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

SEPTEMBER 12, 2024

Artificial Intelligence (AI): A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence. Association Rule Learning: A rule-based Machine Learning method to discover interesting relationships between variables in large databases.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Pickl AI

OCTOBER 15, 2024

In more complex cases, you may need to explore non-linear models like decision trees, support vector machines, or time series models. Model Validation Model validation is a critical step to evaluate the model’s performance on unseen data. Model selection requires balancing simplicity and performance.

Decision Trees 52

Decision Trees Hypothesis Testing Clustering Data Analysis 52

DagsHub

APRIL 21, 2024

Especially in the current time when LLM models are making their way for several industry-based generative AI projects. PyTorch Developed by Facebook’s AI Research Lab (FAIR), PyTorch is a popular machine-learning framework that offers a flexible and dynamic approach to building and training neural networks.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

DagsHub

JUNE 3, 2024

Image Credits: The New York Times Read more: [link] In another 2018 story , Amazon was found to show bias toward male candidates in the recruitment process because of an issue with their AI-powered HR recruiting tool. According to reports, their tool has been trained using a biased data sample sourced from a male-dominated industry.

Machine Learning 52

Machine Learning Machine Learning Decision Trees ML 52

DrivenData Labs

MAY 1, 2025

Some participants combined a transformer neural network with a tree-based model or support vector machine (SVM). I studied Computer Science and really enjoyed the AI space, although hardware resources were always limited, which shaped my push to always simplify.

Decision Trees 147

Decision Trees Clustering Algorithm Machine Learning 147

Towards AI

JULY 19, 2023

Last Updated on July 19, 2023 by Editorial Team Author(s): Anirudh Chandra Originally published on Towards AI. In our exercise, we will try to deal with this imbalance by — Using a stratified k-fold cross-validation technique to make sure our model’s aggregate metrics are not too optimistic (meaning: too good to be true!)

Machine Learning 40

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines 40

Dataconomy

SEPTEMBER 1, 2023

The time has come for us to treat ML and AI algorithms as more than simple trends. We are no longer far from the concepts of AI and ML, and these products are preparing to become the hidden power behind medical prediction and diagnostics. SVM classifiers work by finding a hyperplane that separates the data points into two classes.

Decision Trees 195

Decision Trees Machine Learning Machine Learning Support Vector Machines 195