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 Programming Language Software Engineer 52

Knowledge Hut

JUNE 20, 2023

Natural Language Processing is a subfield of Computer Science and Artificial Intelligence that focuses on the interaction between computers and humans through natural language. It is used to develop algorithms and applications to make computers understand, interpret and generate human language.

Process 52

Process Computer Science Algorithm Education 52

U-Next

DECEMBER 2, 2022

Data science is a field of study that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining. The tools and techniques used by data scientists are constantly changing and improving.

Machine Learning 40

Machine Learning Data Science Programming Language Data Mining 40

U-Next

SEPTEMBER 29, 2022

To get and communicate their conclusions, data analysts employ programming languages, visualization tools, and communication skills. . Who Is a Data Scientist, and What Do They Do? . As a result, data scientists have to devote more effort to developing tools, automation systems, and data frameworks. .

Data Science 40

Data Science Data Analytics Data Mining Algorithm 40

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. to solve time series analysis problems.

Deep Learning 52

Deep Learning Datasets Python Machine Learning 52

Knowledge Hut

MAY 31, 2023

Sales Analysis Source Code Dataset Customer Review Sentiment Analysis It is the process of determining the emotional state of customers after they purchase or use the products. Students can use Python or R for data analysis. Tools like TextBlob and NLTK for sentiment analysis.

Project 52

Project Datasets Media Python 52

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. Check them out now!

Insurance 75

Insurance Machine Learning Project Algorithm 75