AltexSoft

MAY 12, 2022

Audio analysis is a process of transforming, exploring, and interpreting audio signals recorded by digital devices. Audio data represents analog sounds in a digital form, preserving the main properties of the original. To make audio understandable for computers, data must undergo a transformation. What is audio analysis?

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

Cloudera

JANUARY 20, 2021

Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. To keep the example simple, the following data attribute tags were chosen for each part generated by the factories: . Factory ID. Machine ID. Manufactured timestamp. Part number. Serial number.

Manufacturing 103

Manufacturing Data Warehouse Kafka Retail 103

AltexSoft

NOVEMBER 17, 2021

As today’s digital storages can serve large amounts of items, it becomes difficult to categorize them manually. The technology required for these purposes must recognize text and its layout from images and scans, which facilitates turning paper documents into a digital format and then classifying them.

Machine Learning 75

Machine Learning Insurance Medical Healthcare 75

Knowledge Hut

OCTOBER 26, 2023

In the world of machine learning, where data-driven solutions have the power to transform industries and empower individuals, if you're new to this exciting field and eager to embark on your machine-learning journey, you're in the right place. T his is a useful machine learning project for beginners with source code in P ython.  

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

SEPTEMBER 25, 2023

It is one of the key digital project management tools that are useful in every department, every segment, and every job role that concern a specific project. In this digital age, these templates are indispensable for streamlining workflows and fostering collaboration among team members. Let’s talk in details: 1.

Project 52

Project Management Process Utilities 52

Knowledge Hut

NOVEMBER 16, 2023

This enables programmers to insert Java code into HTML pages using particular JSP tags. Whether you're a new or seasoned user, a MySQL database administrator, a MySQL developer, or a MySQL security administrator, digital training can help you learn more about relational databases and manage your MySQL applications more effectively.

Technology 98

Technology MySQL MongoDB Google Cloud 98

ProjectPro

OCTOBER 18, 2021

Build a Sorting, Categorizing, and Tagging System You can create crowd-sourced software systems that allow categorizing, sorting, and tagging various forms of data (structured or unstructured). The MNIST dataset will make the training of ML models seamless so that your system can recognize handwritten digits easily.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

JUNE 20, 2023

Parts-of-Speech (POS) tagging categorizing words in a document based on their part-of-speech position and word/context meaning. They are extensively employed in the arts, that use digital media. In general, an image processing engineer can detect, extract, analyze and transform any information included in a set of collected images.

Process 52

Process Computer Science Algorithm Education 52

Edureka

FEBRUARY 1, 2023

digital transformation, advanced analytics, automation, and data-driven decision-making, all essential skills needed for successful supply chain operations. Thus, companies can increase their competitive advantage over competitors who do not utilize SCM practices effectively. They will learn about current trends such as Industry 4.0,

Management 52

Management Transportation Manufacturing Certification 52

AltexSoft

OCTOBER 25, 2021

It can be manually transformed into structured data by hospital staff, but it’s never a priority in the medical setting. Say, the system can tag data from patient history, discharge summary, or call center reports and then structure them in an EHR according to a schema. Unstructured data is unavoidable, yet extremely valuable.

Medical 52

Medical Healthcare Process Hospitality 52

ProjectPro

AUGUST 13, 2021

You will use a dataset tagged with a category for the questions that the business is likely to receive. Link to Github Repository: News Summarization Project by Henry Chang Machine Learning Project on Text Summarization with Source Code - Abstractive Text Summarization using Transformers-BART Model 3. to train your machine.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

Scott Logic

OCTOBER 30, 2023

When I worked at Government Digital Service (GDS) there was a great example on GOV.UK At the time there were thousands of untagged pages of content that we estimated would take years for civil servants across government to review and tag. which supported one of the core goals at the time – making content more accessible to users.

Government 52

Government Hospitality Database-centric Machine Learning 52

Knowledge Hut

OCTOBER 20, 2023

All freshers and professionals must stay informed about the compensation trends in the current digital project management landscape. That is why the role of a digital project manager is multifaceted. Let us discuss the current digital project manager salaries in 2023 and across several industries.

Project 52

Project Management Education Certification 52

Cloudera

MAY 2, 2022

As digital transformation accelerates, and digital commerce increasingly becomes the dominant form of all commerce, regulators and governments around the world are recognizing the increased need for consumer protections and data protection measures.

Cloud 97

Cloud Government Healthcare Metadata 97

ProjectPro

AUGUST 9, 2021

. ‘Why are we even doing all this has the following stopwords Stopwords - [‘ even ’,’ all ’] Tagging Tagging associates tokens with some meaning. Tokens are tagged based on grammar; for example, nouns, adjectives, adverbs are acceptable for the project.

Data Science 52

Data Science Python Project Datasets 52

Knowledge Hut

MAY 2, 2024

From the most technologically savvy person working in leading digital platform companies like Google or Facebook to someone who is just a smartphone user, there are very few who have not been impacted by artificial intelligence or machine learning in some form or the other; through social media, smart banking, healthcare or even Uber.

Machine Learning 98

Machine Learning Algorithm Datasets Deep Learning 98

Knowledge Hut

OCTOBER 26, 2023

Radical changes are all around us and have significantly altered our way of life in this digital era via IoT projects. A fan is a straightforward item, but when it connects to a smartphone to be turned on and off, it transforms into a smart device or an IoT device. Saving Money: IoT also offers the primary benefit of cost savings.

Coding 98

Coding Project Electronics Cloud Computing 98

Monte Carlo

JANUARY 5, 2022

Monte Carlo and dbt: better together Our latest dbt integration helps data teams ensure data is reliable and trustworthy at each stage of their data pipelines, during transformation with dbt tests all the way across production environments with Monte Carlo’s end-to-end, fully automated Data Observability Platform.

Retail 52

Retail Metadata Data Pipeline Software Engineer 52

ProjectPro

JANUARY 13, 2022

With the rising digital era and its impact on the publishing industry, investing time to read an article mindfully is no longer an option, given time constraints. It includes libraries for categorization, tokenization, stemming, tagging, parsing, and other text processing tasks. It's majorly used for research purposes.

Python 52

Python Algorithm Deep Learning Data Science 52

Knowledge Hut

DECEMBER 26, 2023

Informatica Informatica is a leading industry tool used for extracting, transforming, and cleaning up raw data. Features: Gives accurate insights and transforms raw data Good data maintenance and monitoring Automated deployments Can execute multiple processes simultaneously 7.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services AWS 98

Knowledge Hut

DECEMBER 27, 2023

customized and digital buying experiences. The use of artificial intelligence in marketing is transforming the industry in various ways, resulting in better strategy, more individualized customer experiences, and better decision-making. Here are some examples of AI in digital marketing and AI use cases.

Media 52

Media Machine Learning Utilities Retail 52

Rockset

AUGUST 26, 2022

“To develop the [dairy] industry further,” mused leading dairy industry research group, IFCN , in late 2021, “better connectivity and digitalization” are needed. In August of 2019, the Colorado-based company launched and began development of a real-time SaaS analytics platform to bring digital transformation to American dairy farmers.

IT 52

IT Food Data Lake Aggregated Data 52

ProjectPro

NOVEMBER 14, 2015

The Digital explosion of the present century has seen businesses undergo exponential growth curves. Following this, we spring up the Azure spark cluster to perform transformations on the data using Spark SQL. From Data Engineering Fundamentals to full hands-on example projects , check out data engineering projects by ProjectPro 2.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

JANUARY 20, 2022

In recent years, AI and Machine Learning have transformed the world, making it smarter and faster. to keep up with the automation wave in this digital era. It includes tokenization, stemming, categorization, tagging, and other text processing modules and libraries. Source Code: Digit Recognition using CNN 3.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

Monte Carlo

AUGUST 16, 2022

dbt Cloud is the most reliable way to deploy dbt’s in-warehouse data transformation framework, empowering analytics practitioners to build, test, and deploy models via SQL and developer tooling such as CI/CD, version control and extensible API’s. Their organization uses data to re-route inventory to the best locations.

Engineering 52

Engineering Data Lake Retail BI 52

AltexSoft

NOVEMBER 23, 2021

The traditional way of data integration involves consolidating disparate data within a single repository — commonly a data warehouse — via the extract, transform, load (ETL) process. If the transformation step comes after loading (for example, when data is consolidated in a data lake or a data lakehouse ), the process is known as ELT.

Process 69

Process Data Lake Metadata Data Warehouse 69

ProjectPro

AUGUST 28, 2021

The data were manually tagged by cross-checking with the recorded video for the experiment. ML Project on Abstractive Text Summarization using Transformer-BART model The objective of this ML project is to generate news article headlines by using the Google Transformer-BART model.

Portfolio 52

Portfolio Project Datasets Algorithm 52

Cloudera

SEPTEMBER 4, 2018

With Accenture’s commitment to delivering digital transformation and customer insight and Cloudera’s industry-leading, modern data platforms, businesses can modernize their IT landscape and gain a 360-degree view of data. Using lineage and metadata in the Cloudera Navigator, the data can be deleted or masked back to the source.

Metadata 45

Metadata Machine Learning Government Big Data 45

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. If a text matches a certain number of threshold rules, it is tagged and spam, thus dropped.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

phData: Data Engineering

JANUARY 3, 2022

It’s the role of a data engineer to store, extract, transform, load, aggregate, and validate data. In a phrase, data engineers add value as they automate and optimize complex systems, transforming data into an accessible and usable business asset. This requires data classification, tagging, and access constraints.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

AltexSoft

MAY 30, 2022

NLP relies on linguistics, statistics, and machine learning to recognize human speech and text inputs and transform them into a machine-readable format. Basically, it reads digital text aloud. Part of Speech tagging — the process of assigning a grammatical meaning to the words (whether it is a noun, a verb, an adjective, etc.);

Banking 52

Banking Machine Learning Deep Learning Insurance 52

AltexSoft

JUNE 9, 2023

This impressive Large Language Model is altering the landscape across many sectors, with the travel industry emerging as a prime example of its transformational power. Large language models and transformers in a nutshell Language models , types of machine learning models, are trained to anticipate the likelihood of a word sequence.

Project 52

Project Java Hospitality Transportation 52

Knowledge Hut

DECEMBER 26, 2023

Platforms like Salesforce CRM, customer 360, digital 360, and other technologies are available on it. Numerous developers create apps specifically for Salesforce, but they typically have a price tag attached. What is Salesforce? Additionally, Salesforce for Project Management can be a lightweight substitute for whole solutions.

Project 52

Project Management IT Utilities 52

AltexSoft

JUNE 26, 2023

Commonly, the entire flow is fully automated and consists of three main steps — data extraction, transformation, and loading ( ETL or ELT , for short, depending on the order of the operations.) Data ingestion means taking data from several sources and moving it to a target system without any transformation.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Monte Carlo

JUNE 9, 2022

Optoro’s Data Platform leverages a Snowflake warehouse, Fivetran for integration, dbt for transformation, Monte Carlo for Data Observability, and Looker for analytics. Object Tagging in Snowflake can help ensure high data quality. With a data engineering team of 11+ members, this totals to 44 hours each week. Image courtesy of Optoro.

IT 52

IT Healthcare Raw Data Data Warehouse 52

ProjectPro

NOVEMBER 11, 2021

It's not enough to transform a picture into pixels and then figure out what's going on in the image through those pixels; one must first understand how to extract data from those pixels and what they depict. A digital picture or video, a sensor device, an interpreting device, and the interpretation stage are all part of the process.

Programming Language 52

Programming Language Deep Learning Machine Learning Algorithm 52

Knowledge Hut

JANUARY 18, 2024

They also look into implementing methods that improve data readability and quality, along with developing and testing architectures that enable data extraction and transformation. Convolutional neural networks powers computer vision to find applications in photo tagging, radiology imaging in healthcare, etc.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98