Knowledge Hut

JANUARY 25, 2024

In the context of data science , clean data is crucial because the quality of your data directly impacts the reliability of your analysis and the outcomes of your algorithms. Data cleaning is like ensuring that the ingredients in a recipe are fresh and accurate; otherwise, the final dish won't turn out as expected.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

Cloudera

DECEMBER 17, 2020

When it comes to machine learning (ML) in the enterprise, there are many misconceptions about what it actually takes to effectively employ machine learning models and scale AI use cases. Accelerating the Full Machine Learning Lifecycle With Cloudera Data Platform.

Machine Learning 80

Machine Learning Data Science Data Pipeline Raw Data 80

AltexSoft

AUGUST 25, 2021

Natural language processing or NLP is a branch of Artificial Intelligence that gives machines the ability to understand natural human speech. But today’s programs, armed with machine learning and deep learning algorithms, go beyond picking the right line in reply, and help with many text and speech processing problems.

Process 139

Process Deep Learning Datasets Machine Learning 139

Edureka

JANUARY 23, 2023

The use of data by companies to understand business patterns and predict future occurrences has been on the rise. With the availability of new technologies like machine learning, it has become easy for experts to analyse vast quantities of information to find patterns that will help establishments make better decisions.

Data Mining 52

Data Mining Banking Retail Medical 52

Knowledge Hut

JUNE 28, 2023

Structured data from databases, data warehouses, and operational systems. Goal Extracting valuable information from raw data for predictive or descriptive purposes. Methods and Techniques Machine learning, statistical analysis, clustering, classification, association rule mining, etc.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer performs a multi-faceted role in an organization by identifying, extracting, and delivering the data sets in useful formats. A Big Data Engineer also constructs, tests, and maintains the Big Data architecture. Data Scientists use ML algorithms to make predictions on the data sets.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

U-Next

SEPTEMBER 9, 2022

Making judgments and predictions via Machine Learning, prescriptive analytics, and predictive causal analysis is the major application of Data Science. What is Data Science? . They gather, purge, and arrange data that can eventually be leveraged to make business growth strategies. .

Data Science 40

Data Science Computer Science Machine Learning Data Cleanse 40

Knowledge Hut

OCTOBER 27, 2023

Microsoft created Power BI, a business analytics tool that enables users to visualize and analyze data from various sources quickly and interactively. It provides a wide range of features and functionalities, including data preparation, data modeling, data visualization, and collaboration tools.

BI 52

BI Project Datasets Healthcare 52

AltexSoft

MARCH 18, 2022

Machine learning is no exception. You’ve probably heard of two main ML techniques — supervised and unsupervised learning. The mixture of two gave birth to the happy medium known as semi-supervised learning. Supervised vs unsupervised vs semi-supervised machine learning in a nutshell.

Datasets 52

Datasets Machine Learning Algorithm Raw Data 52

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Once you have the data, it's time to start using it.

Big Data 52

Big Data Coding Project Hadoop 52

Knowledge Hut

DECEMBER 26, 2023

Learn all about Business Intelligence and Visualization training and earn business intelligence certifications. Business intelligence (BI) is the collective name for a set of processes, systems, and technologies that turn raw data into knowledge that can be used to operate enterprises profitably. Enroll now!

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

ProjectPro

JUNE 24, 2021

Microsoft Excel: A successful Excel spreadsheet helps to organize raw data into a more readable format. With more complex data, Excel allows customization of fields and functions that can make calculations based on the data in the excel spreadsheet. Topic modelling can also be used to classify large datasets of emails.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

JANUARY 31, 2023

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. Big data enables businesses to gain a deeper understanding of their industry and helps them extract valuable information from the unstructured and raw data that is regularly collected.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

JANUARY 31, 2022

Snowflake Features that Make Data Science Easier Here are three Snowflake attributes that make running successful data science projects easier for businesses- 1. Centralized Source of Data When training machine learning models, data scientists must consider a wide range of data.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

AUGUST 24, 2021

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. Machine Learning web service to host forecasting code.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

DECEMBER 21, 2021

When people hear about artificial intelligence, deep learning, and machine learning , many think of movie-like robots that resemble or even outperform human intelligence. Others believe that such machines simply consume information and learn from it by themselves. What is data labeling? Source: GitHub.

Machine Learning 52

Machine Learning Process Raw Data Datasets 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

ProjectPro

MAY 20, 2015

It provides the first purpose-built Adaptive Data Preparation Solution(launched in 2013) for data scientist, IT teams, data curators, developers, and business analysts -to integrate, cleanse and enrich raw data into meaningful analytic ready big data that can power operational, predictive , ad-hoc and packaged analytics.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

U-Next

SEPTEMBER 28, 2022

– Collecting data and finding trends of employee productivity and engagement to better understand existing employee job satisfaction. – Developing a prediction algorithm to identify employees who may be on the verge of quitting. Let’s learn the types of HR Analytics one by one: .

Recruitment 52

Recruitment Algorithm Utilities Machine Learning 52

AltexSoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. This leaves only 10 percent of the entire flow automated by ML models. MLOps cycle.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59