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

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 Datasets Python Machine Learning 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

ProjectPro

AUGUST 24, 2021

Source Code: Analyse Movie Ratings Data Unlock the ProjectPro Learning Experience for FREE 11) Retail Analytics Project Example For retail stores , inventory levels, supply chain movement, customer demand, sales, etc. Project Idea: Azure Pureview is a data governance tool introduced by Microsoft that lets its users handle data better.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

DECEMBER 22, 2016

If you are aspiring to be a data analyst then the core competencies that you should be familiar with are distributed computing frameworks like Hadoop and Spark, knowledge of programming languages like Python, R , SAS, data munging, data visualization, math , statistics , and machine learning.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

U-Next

AUGUST 11, 2022

Data Science is an interdisciplinary field that blends programming skills, domain knowledge, reasoning skills, mathematical and statistical skills to generate value from a large pool of data. Skill requirements for Data Science. Knowing algorithms, mathematics, statistics, and machine learning are essential.

Data Science 40

Data Science Data Cleanse Unstructured Data Machine Learning 40