Remove Analysis Remove Data Analysis Remove Learning Remove Matrix
article thumbnail

SplashBI is recognized as a Leader in Everest Group’s 2024 People Analytics Platform PEAK Matrix® Assessment

Splash BI

SplashBI is recognized as a Leader in Everest Group’s 2024 People Analytics Platform PEAK Matrix® Assessment [Duluth, Georgia, 11th April] – SplashBI has been recognized as one of the Leaders in Everest Group’s 2024 People Analytics Platform PEAK Matrix® Assessment. April 10, 2024

Matrix 116
article thumbnail

An Important Guide To Unsupervised Machine Learning

Smart Data Collective

Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun. With that being said, let’s have a closer look at how unsupervised machine learning is omnipresent in all industries. What Is Unsupervised Machine Learning? Well, machine learning is almost the same.

Learning 335
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Python for Machine Learning: A Tutorial

IT Business Edge

Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how it works with machine learning. Also read: Best Machine Learning Software. Machine Learning 101. Data import.

article thumbnail

Expert Insights: The Future of Edge AI

Alpha Sense BI

In contrast, efficiency techniques such as low-rank adaption (LORA), federated learning, matrix decomposition, weight sharing, memory optimization, and knowledge distillation are all being utilized to optimize models for specific use cases at the edge.

Matrix 69
article thumbnail

Housing Price Prediction using Python on Web Scraped Property Data

Data Hut

Predicting housing prices using data analysis tools like Python has become popular with real estate investors. The concept is simple — use historical data from the past, apply predictive analytics models such as Machine Learning, and predict future housing prices. le = LabelEncoder().

Matrix 52
article thumbnail

Handling Outliers Using Smarten Assisted Predictive Modelling!

Elegant BI

Outliers, also referred to as anomaly, exception, irregularity, deviation, oddity, arise in data analysis when the data records differ dramatically from the other observations. In layman’s terms, an outlier can be interpreted as any value that is numerically far-flung from most of the data points in a sample of data.

article thumbnail

Customer Churn Model Using Smarten Assisted Predictive Modelling!

Elegant BI

Any kind of analysis initiates by looking upon the data. Keeping a note that we already have a predefined dataset uploaded to Smarten, let’s get started slowly but surely into how to open a loaded dataset in Smarten and make analysis. Our machine learning model may take more time to run and provide us with the required outcome.