Knowledge Hut

JUNE 26, 2023

Multiple types of data exist within organizations, and it is the obligation of data architects to standardize them so that data analysts and scientists can use them interchangeably. If data scientists and analysts are pilots, data engineers are aircraft manufacturers.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

ProjectPro

JUNE 1, 2017

MapR unveiled Quick Start Solution (QSS) its novel solution focusing on deep learning applications. QSS is a deep learning product and service offering by the popular hadoop vendor that will enable the training of compute intensive deep learning algorithms. Source : [link] ) PREVIOUS NEXT <

Hadoop 52

Hadoop Medical Pipeline-centric Database-centric 52

Knowledge Hut

DECEMBER 26, 2023

This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc. This is one of the major reasons behind the popularity of data science.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

AltexSoft

NOVEMBER 1, 2023

For others, however, this will be a car manufacturer with the same name. NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data. After the features are prepared, the model is trained on this enriched data. Let’s take the name Lincoln , for example.

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 52

ProjectPro

SEPTEMBER 26, 2021

Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets. Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. Data Scientists use ML algorithms to make predictions on the data sets.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

OCTOBER 20, 2021

Let's understand where Data Science belongs in the space of Artificial Intelligence. The estimator automatically performs the algorithm selection as well as the hyperparameter tuning Auto-Keras : To recall, Keras is an open-source library that provides a Python interface into the world of Artificial Intelligence, especially Tensorflow.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

AltexSoft

APRIL 27, 2023

Efficient analysis of data from multiple sources helps pharma businesses identify market trends and develop targeted marketing strategies. Machine learning algorithms can be used to predict future sales of particular drugs or spot growth. The event harmonizer automates data collection and processing. Marketing and sales.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

U-Next

SEPTEMBER 23, 2022

Predictions for manufacturing demand: The manufacturing industry is the first real-life example of Data Science in action. Creating forecasts for product demand is one of the main functions of Data Science for many manufacturers. What is Machine Learning? . Real-world Examples . Conclusion .

Machine Learning 40

Machine Learning Data Science Manufacturing Healthcare 40

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

Tweag

APRIL 19, 2023

Machine Learning (ML). Deep Learning. Detecting cancerous cells in microscopic photography of cells (Whole Slide Images, aka WSIs) is usually done with segmentation algorithms, which NNs are very good at. A single hospital makes many captures a day, producing terabytes of such data to store and process.

Medical 60

Medical Process Cloud Bytes 60