Knowledge Hut

OCTOBER 24, 2023

How to Use the Pareto Chart You can use the Pareto chart to capture raw data accurately, represent it, and identify potential problems with simple-to-understand units. Data Collection Planning This is a tool used by all green belts to determine how to collect data, determine sample sizes, and discover the best data sources.

Manufacturing 52

Manufacturing Medical Raw Data Certification 52

Knowledge Hut

JULY 28, 2023

DL models automatically learn features from raw data, eliminating the need for explicit feature engineering. Healthcare: DL models are used for medical image analysis, disease diagnosis, drug discovery, and personalized medicine. Data Pre-processing : Cleaning, transforming, and preparing the data for analysis.

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

AltexSoft

MAY 12, 2022

Audio data transformation basics to know. Before diving deeper into processing of audio files, we need to introduce specific terms, that you will encounter at almost every step of our journey from sound data collection to getting ML predictions. One of the largest audio data collections is AudioSet by Google.

Machine Learning 122

Machine Learning Building Deep Learning Datasets 122

U-Next

AUGUST 18, 2022

Data Science may combine arithmetic, business savvy, technologies, algorithm, and pattern recognition approaches. These factors all work together to help us uncover underlying patterns or observations in raw data that can be extremely useful when making important business choices. Theaters, channels, etc.,

Unstructured Data 40

Unstructured Data Data Science Medical Business Intelligence 40

Knowledge Hut

DECEMBER 29, 2023

Learning Outcomes: You will understand the processes and technology necessary to operate large data warehouses. Engineering and problem-solving abilities based on Big Data solutions may also be taught. It is a part of what we now refer to as artificial intelligence (AI).

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

AltexSoft

MAY 14, 2021

Data can be incomplete, inconsistent, or noizy, decreasing the accuracy of the analytics process. Due to this, data veracity is commonly classified as good, bad, and undefined. That’s quite a help when dealing with diverse data sets such as medical records, in which any inconsistencies or ambiguities may have harmful effects.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

AUGUST 16, 2021

A typical machine learning project involves data collection, data cleaning, data transformation, feature extraction, model evaluation approaches to find the best model fitting and hyper tuning parameters for efficiency. Deep Learning straight away discards this step and moves on with raw data.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

U-Next

SEPTEMBER 23, 2022

The fast development of digital technologies, IoT goods and connectivity platforms, social networking apps, video, audio, and geolocation services has created the potential for massive amounts of data to be collected/accumulated. It is not as simple as converting data into insights. Apple is one such technology.

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

Monte Carlo

MAY 31, 2023

And in the same way that no two organizations are identical, no two data integrity frameworks will be either. On the other hand, healthcare organizations with strict compliance standards related to sensitive patient information might require a completely different set of data integrity processes to maintain internal and external standards.

Building 52

Building Data Validation Healthcare Data Integration 52