AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. Audio data file formats. Similar to texts and images, audio is unstructured data meaning that it’s not arranged in tables with connected rows and columns. Source: Towards Data Science.

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

Knowledge Hut

MAY 31, 2023

Artificial intelligence (AI) projects are software-based initiatives that utilize machine learning, deep learning, natural language processing, computer vision, and other AI technologies to develop intelligent programs capable of performing various tasks with minimal human intervention. Let us get started!

Project 96

Project Healthcare Deep Learning Transportation 96

AltexSoft

OCTOBER 18, 2022

Regardless of industry, data is considered a valuable resource that helps companies outperform their rivals, and healthcare is not an exception. In this post, we’ll briefly discuss challenges you face when working with medical data and make an overview of publucly available healthcare datasets, along with practical tasks they help solve.

Medical 52

Medical Datasets Machine Learning Hospitality 52

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

AltexSoft

MAY 27, 2022

The tool processes both structured and unstructured data associated with patients to evaluate the likelihood of their leaving for a home within 24 hours. The main sources of such data are electronic health record ( EHR ) systems which capture tons of important details. Inpatient data anonymization. Factors impacting LOS.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

ProjectPro

JULY 9, 2021

All thanks to deep learning - the incredibly intimidating area of data science. This new domain of deep learning methods is inspired by the functioning of neural networks in the human brain. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

Knowledge Hut

DECEMBER 26, 2023

If we look at history, the data that was generated earlier was primarily structured and small in its outlook. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured.

Data Engineer 98

Data Engineer Data Engineering Engineering Hadoop 98

Knowledge Hut

DECEMBER 29, 2023

Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization. A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

DECEMBER 26, 2023

These skills are essential to collect, clean, analyze, process and manage large amounts of data to find trends and patterns in the dataset. The dataset can be either structured or unstructured or both. In this article, we will look at some of the top Data Science job roles that are in demand in 2024.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

DataKitchen

APRIL 13, 2021

Databand — Data pipeline performance monitoring and observability for data engineering teams. . Soda Data Monitoring — Soda tells you which data is worth fixing. Soda doesn’t just monitor datasets and send meaningful alerts to the relevant teams. Datatron — Automates deployment and monitoring of AI models.

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

Knowledge Hut

JUNE 26, 2023

Since there are numerous ways to approach this task, it encourages originality in one's approach to data analysis. Moreover, this project concept should highlight the fact that there are many interesting datasets already available on services like GCP and AWS. Source: Use Stack Overflow Data for Analytic Purposes 4.

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

DoorDash Engineering

APRIL 23, 2024

DoorDash’s retail catalog is a centralized dataset of essential product information for all products sold by new verticals merchants – merchants operating a business other than a restaurant, such as a grocery, a convenience store, or a liquor store. Examples include OpenAI’s GPT-4, Google’s Bard, and Meta’s Llama.

Building 91

Building Retail Manufacturing Unstructured Data 91

AltexSoft

OCTOBER 25, 2021

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. This allows machines to extract value even from unstructured data. Healthcare organizations generate a lot of text data.

Medical 52

Medical Healthcare Process Hospitality 52

RandomTrees

JUNE 17, 2024

It includes identifying unusual behaviors or patterns within datasets. New technologies like deep learning, NLP, and blockchain are expected to have a significant impact on how frauds are detected. Deep learning algorithms can analyze complex data structures or even unstructured data sources.

Banking 52

Banking Deep Learning Machine Learning Finance 52

AltexSoft

DECEMBER 15, 2021

The accuracy of the forecast depends not only on features but also on hyperparameters or internal settings that dictate how exactly your algorithm will learn on a specific dataset. Neural architecture search or NAS is a subset of hyperparameter tuning related to deep learning, which is based on neural networks.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

U-Next

AUGUST 8, 2022

In contrast, information mining is the practice of trying to remove information or intriguing patterns from unstructured data. Learning algorithms are applied in this processing system. In Machine Learning, What Is “Overfitting”? Distinguish Between Machine Learning That Is Supervised and Unsupervised.

Machine Learning 52

Machine Learning Deep Learning Algorithm Data Mining 52

AltexSoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection? It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Edureka

FEBRUARY 12, 2025

Integration with External Data : LangChain lets LLMs talk to APIs, databases, and other data sources. This lets them do things like get real-time information or process datasets that are specific to a topic. Data Analysis Description : Analyze structured or unstructured data for insights and storytelling.

IT 52

IT Database Google Cloud Coding 52

Knowledge Hut

MAY 23, 2024

Because of this, data science professionals require minimum programming expertise to carry out data-driven analysis and operations. It has visual data pipelines that help in rendering interactive visuals for the given dataset. Python: Python is, by far, the most widely used data science programming language.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

AltexSoft

NOVEMBER 1, 2023

NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data. By doing so, NER transforms vast amounts of textual content into organized datasets, ready for further analysis. .”

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 52

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. What is Data Science?

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

ProjectPro

JANUARY 28, 2022

You can train machine learning models can to identify such out-of-distribution anomalies from a much more complex dataset. However, substantially insufficient data is likely available for one particular species, thus resulting in an imbalance in the dataset. So, this is unacceptable.

Machine Learning 52

Machine Learning Python Algorithm Datasets 52

ProjectPro

OCTOBER 18, 2021

Apart from that, libraries like ggplot, reshape2, data.table will complement your machine learning project. Datasets like Google Local, Amazon product reviews, MovieLens, Goodreads, NES, Librarything are preferable for creating recommendation engines using machine learning models. for developing these kinds of projects.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

DECEMBER 1, 2017

The demand for hadoop in managing huge amounts of unstructured data has become a major trend catalyzing the demand for various social BI tools. Source : [link] ) For the complete list of big data companies and their salaries- CLICK HERE Hadoop Market Opportunities, Scope, Business Overview and Forecasts to 2022.OpenPR.com,

Hadoop 52

Hadoop Medical Unstructured Data Big Data 52

ProjectPro

DECEMBER 21, 2021

is also an essential skill to pursue a machine learning career. Data Modeling Analyzing unstructured data models is one of the key responsibilities of a machine learning career, which brings us to the next required skill- data modeling and evaluation. You can use the SYL bank dataset for this project.

Machine Learning 52

Machine Learning Engineering Algorithm Data Science 52

ProjectPro

AUGUST 16, 2021

Machine Learning Projects on Classification 2. Machine Learning Projects on Prediction 3. Machine Learning Projects on Computer Vision 4. Machine Learning Projects on Natural Language Processing (NLP) 5. Deep Learning and Neural Network Projects 6.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

NOVEMBER 17, 2021

Instead, working on a sentiment analysis project with real datasets will help you stand out in job applications and improve your chances of receiving a call back from your dream company. The dataset for Amazon Product Reviews: Amazon Product Reviews Dataset. Beginners can use the small IMDb reviews dataset to test their skills.

Coding 52

Coding Project Entertainment Datasets 52

U-Next

AUGUST 11, 2022

Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning. Machine Learning (ML) is a part of Artificial Intelligence. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. ML And AI Are The Future.

Medical 52

Medical Computer Science Machine Learning Scala 52

Tweag

APRIL 19, 2023

Machine Learning (ML). Deep Learning. load training metadata dataset = PatchDataset ( slides_specs = slides_specs ) train_loader = DataLoader ( dataset ) trainer = pl. repartition ( num_blocks = len ( df ) / batch_size ) # turn into a dataset pipeline to evaluate blocks lazily. Artificial Intelligence (AI).

Medical 62

Medical Process Cloud Bytes 62

Zalando Engineering

NOVEMBER 6, 2017

“Without machine learning, we could never keep up with the amount of fashion resources that are available.” - Ana Peleteiro Ramallo With her team, Ana has been shipping groundbreaking products in Deep Learning for Natural Language Processing (NLP) and Knowledge Extraction. Quality structured data is not easy to get in fashion.

Data Science 40

Data Science Deep Learning Media Machine Learning 40

Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Data warehousing to aggregate unstructured data collected from multiple sources. What’s the Demand for Data Engineers?

Data Engineer 52

Data Engineer Data Engineering Engineering NoSQL 52

AltexSoft

FEBRUARY 21, 2023

Data relevance. Including irrelevant data in the training dataset can make the model overly complex, as it tries to learn patterns that don’t actually fit the task. Just as bad data quality and scarcity, irrelevance can cause the model to make incorrect predictions when presented with new, unseen data.

Hospitality 52

Hospitality Algorithm Datasets Machine Learning 52

Knowledge Hut

JANUARY 19, 2024

With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. In data science, we use various tools, processes, and algorithms to extract insights from structured and unstructured data. That's the promise of a career in data science. Implementing machine learning magic.

Data Science 52

Data Science Machine Learning Algorithm Datasets 52

Knowledge Hut

OCTOBER 26, 2023

These containers scan and read the identity cards using deep learning algorithms for marking attendance. With Redshift, you can query structured or unstructured data directly from Amazon S3 even when the data is not deployed in the Redshift cluster. This dataset can be downloaded in two formats: Parquet and TAV.

AWS 52

AWS Coding Project Cloud Computing 52

Knowledge Hut

JUNE 20, 2023

Skills A data engineer should have good programming and analytical skills with big data knowledge. A machine learning engineer should know deep learning, scaling on the cloud, working with APIs, etc. Examples Pull daily tweets from the data warehouse hive spreading in multiple clusters.

Machine Learning 52

Machine Learning Data Engineer Data Engineering Engineering 52

AltexSoft

MAY 5, 2023

The key terms that everyone should know within the spectrum of artificial intelligence are machine learning, deep learning, computer vision , and natural language processing. Deep Learning is a subset of machine learning that focuses on building complex algorithms named deep neural networks.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59