AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. Audio analysis has already gained broad adoption in various industries, from entertainment to healthcare to manufacturing. Audio data file formats. Below we’ll give most popular use cases.

Machine Learning 122

Machine Learning Building Deep Learning Datasets 122

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. Recommendation engines are popular in media, entertainment, and shopping. To develop such algorithms, you need to have a thorough understanding of the following: a. also have the same feature.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

AltexSoft

OCTOBER 3, 2022

In the real world, most data is unstructured data e.g., text, images, audio, and video. While graph databases can store such data, there’s a problem with using them for machine learning tasks. Recommender systems in entertainment.

Relational Database 52

Relational Database Banking Media Computer Science 52

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

U-Next

AUGUST 3, 2022

After understanding what Data Science is and its fundamental principles, what else do we need to discuss? What is a Data Scientist? A Data Scientist is skilled in concluding data using various systems, procedures, and algorithms. The people who have inquiries about data are known as Data Scientists.

Data Science 52

Data Science Retail Computer Science Entertainment 52

Knowledge Hut

JULY 4, 2023

The method to examine unprocessed data for deriving inferences about specific information is termed data analytics. Several data analytics procedures got mechanized into mechanical algorithms and procedures. The task of the data analyst is to accumulate and interpret data to identify and address a specific issue.

Data Analytics 52

Data Analytics Data Architect Transportation Data Science 52

U-Next

SEPTEMBER 23, 2022

By analyzing a set of securities through the use of economic variables and correlations between them, a trading algorithm is used to evaluate a set of securities. . How Do Data Science, AI, and Machine Learning Work Together? . Structured and unstructured data are the two types of data that are dealt with by Data Science. .

Machine Learning 40

Machine Learning Data Science Manufacturing Healthcare 40

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. Advanced data scientists can use supervised algorithms to predict future trends.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

AUGUST 6, 2015

Organizations in every industry are increasingly turning to Hadoop, NoSQL databases and other big data tools to attain customer delight which in turn will reap financial rewards for the business by outperforming the competition.81% 81% of the organizations say that Big Data is a top 5 IT priority.

Big Data 52

Big Data Hadoop Insurance Media 52

ProjectPro

MARCH 14, 2014

Online FM Music 100 nodes, 8 TB storage Calculation of charts and data testing 16 IMVU Social Games Clusters up to 4 m1.large Job site 15 nodes Runs Machine learning Algorithms 44 CDU now! Online FM Music 100 nodes, 8 TB storage Calculation of charts and data testing 16 IMVU Social Games Clusters up to 4 m1.large

Hadoop 40

Hadoop Big Data Data Mining Retail 40