Knowledge Hut

JUNE 16, 2023

AI systems work by consuming vast volumes of labelled training data, analyzing the data for correspondence and patterns, and then using these patterns to forecast future states. New generative AI algorithms can deliver realistic text, graphics, music and other content.

Engineering 52

Engineering Deep Learning Software Engineer Software Engineering 52

Knowledge Hut

FEBRUARY 1, 2024

Businesses use data science applications in e-commerce and machine learning to improve customer experiences and keep website visitors interested. Machine learning algorithms produce these suggestions. They utilize this information to learn more about their customers or build a platform to assist new ones.

Data Science 96

Data Science Retail Algorithm Manufacturing 96

ProjectPro

JANUARY 31, 2023

With the introduction of advanced machine learning algorithms , underwriters are bringing in more data for better risk management and providing premium pricing targeted to the customer. Customer data is collected using machine learning algorithms to identify patterns and insights.

Insurance 75

Insurance Machine Learning Project Algorithm 75

ProjectPro

JANUARY 24, 2023

They have developed a product called "SiteEye," which uses cameras and machine learning to monitor construction sites in real-time to detect and alert workers about potential hazards. To build and deploy their machine learning models, DeepVision used Amazon SageMaker.

Building 52

Building Algorithm Machine Learning AWS 52

Knowledge Hut

MAY 23, 2024

Matlab: Matlab is a closed-source, high-performing, numerical, computational, simulation-making, multi-paradigm data science tool for processing mathematical and data-driven tasks. This tool is an amalgamation of visualization, mathematical computation, statistical analysis, and programming, all under an easy-to-use ecosystem.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

ProjectPro

FEBRUARY 5, 2022

Regression Models Regression models include popular algorithms like linear regression vs logistic regression , etc. Depending on the nature of the time series data, we assume an equation for the trend and use methods like least-squares fitting to estimate the coefficients in the equation. So, how can data analysis tools help us?

Deep Learning 52

Deep Learning Python Datasets Machine Learning 52

ProjectPro

DECEMBER 22, 2016

Data analysis involves data cleaning. Results of data mining are not always easy to interpret. Data analysts interpret the results and convey the to the stakeholders. Data mining algorithms automatically develop equations. Data analysts have to develop their own equations based on the hypothesis.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52