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!

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Project Healthcare Deep Learning Transportation 64

AltexSoft

MAY 27, 2022

A large hospital group partnered with Intel, the world’s leading chipmaker, and Cloudera, a Big Data platform built on Apache Hadoop , to create AI mechanisms predicting a discharge date at the time of admission. The built-in algorithm learns from every case, enhancing its results over time. Data preparation for LOS prediction.

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Hospitality Medical Healthcare Algorithm 98

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

ProjectPro

FEBRUARY 16, 2023

The study and pattern of how humans think is the foundation of artificial intelligence, and the algorithm replicates human brain functions. Focus Historical data analysis, reporting, and visualization. Predictive and prescriptive analytics, machine learning, and deep learning.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. Another application of musical audio analysis is genre classification: Say, Spotify runs its proprietary algorithm to group tracks into categories (their database holds more than 5,000 genres ).

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

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.

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Medical Healthcare Process Hospitality 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. Data Manipulation Techniques to organize and present data meaningfully.

Data Science 52

Data Science Machine Learning Datasets Algorithm 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 Engineering Data Engineer Engineering 52

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.

Unstructured Data 40

Unstructured Data Medical Data Science Business Intelligence 40

Knowledge Hut

JULY 3, 2023

From sentiment analysis to language comprehension, NLP engineers are shaping the future of AI and enabling businesses to make informed decisions based on the vast amount of unstructured data available today. It aids students in developing a thorough understanding of data pre-treatment, model validation, and ML resources.

Engineering 52

Engineering Unstructured Data Certification Computer Science 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’s a study of Computer Algorithms, which helps self-improvement through experiences. Why Should You Pursue A Career In Artificial Intelligence?

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Medical Computer Science Scala Machine Learning 52

Knowledge Hut

JANUARY 22, 2024

Data science is a field of study that combines industry expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Data scientists apply machine learning algorithms to numbers, text, images, video, audio, and more to create artificial intelligence (AI) systems.

Data Science 52

Data Science Banking Big Data Insurance 52

Knowledge Hut

OCTOBER 26, 2023

It comes with in-built ML algorithms that do not require label data and leverages semantic search to simplify tasks. When AWS is used along with nearest-neighbor algorithms, you can get relevant recommendations and accurate results. Source code: GitHub 5. Amazon Redshift is a cloud warehouse service that is fully managed by AWS.

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AWS Coding Project Cloud Computing 52

U-Next

SEPTEMBER 23, 2022

Drill-down, data mining, and other techniques are used to find the underlying cause of occurrences. Methods like sensitivity analysis and training algorithms are used for classification and regression. However, it also uses statistical modeling and Machine Learning techniques.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

ProjectPro

DECEMBER 21, 2021

Machine learning, unlike other fields, has a global reach when it comes to job opportunities. The machine learning career path is perfect for you if you are curious about data, automation, and algorithms, as your days will be crammed with analyzing, implementing, and automating large amounts of knowledge.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

Knowledge Hut

JUNE 27, 2023

The integration of computer science with emerging technologies like artificial intelligence, machine learning, and blockchain is driving the field towards new frontiers, revolutionizing industries and creating new opportunities for innovation and growth. Applications: Self-driving cars, personalized health care, & predictive-modeling.

Computer Science 52

Computer Science Entertainment Healthcare Finance 52

ProjectPro

JANUARY 28, 2022

In data science, algorithms are usually designed to detect and follow trends found in the given data. The modeling follows from the data distribution learned by the statistical or neural model. In real life, the features of data points in any given domain occur within some limits.

Machine Learning 52

Machine Learning Python Datasets Algorithm 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. You can use open-source medical datasets like CHDS (Child Health and Development Studies), HCUP, Medicare to test your machine learning algorithm. Text Processing b.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

AltexSoft

OCTOBER 18, 2022

Yet, in both cases, the necessity to comply with regulations adds an extra step to the preparation of datasets for machine learning. Medical data labeling. Medical or not, unstructured data — like texts, images, or audio files — require labeling or annotation to train machine learning models. Today, when over 1.7

Medical 52

Medical Datasets Machine Learning Hospitality 52

Data Engineering Podcast

FEBRUARY 24, 2019

Summary Deep learning is the latest class of technology that is gaining widespread interest. As data engineers we are responsible for building and managing the platforms that power these models. Can you start by giving an overview of what deep learning is for anyone who isn’t familiar with it?

Deep Learning 100

Deep Learning Data Engineering Data Engineer Engineering 100

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

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

JUNE 26, 2023

Using big data, we are able to transform unstructured data, such as customer reviews, into actionable insights, which enables businesses to better understand how and why customers prefer their products or services and to make improvements to their operations as quickly as is practically possible.

Data Engineering 81

Data Engineering Data Engineer Coding Project 81

ProjectPro

APRIL 17, 2015

2015 will welcome the dawn of big data analytics security tools to combine text mining, ontology modelling and machine learning to provide comprehensive and integrated security threat detection, prediction and prevention programs.” Deep learning involves ingesting big data to neural networks to receive predictions in response.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

Knowledge Hut

APRIL 20, 2023

Parameters Cybersecurity Data Science Expertise Protects computer systems and networks against unwanted access or assault. Deals with Statistical and computational approaches to extract knowledge and insights from structured and unstructured data.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

ProjectPro

JUNE 9, 2021

It converts data using various tools and technologies and builds data modeling solutions that offer helpful and valuable insights to solve business problems. For example, companies can leverage data-driven business insights to predict customer behavior using algorithms and techniques and enhance overall customer experiences.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

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. Parsing this data is not trivial. It’s messy.

Data Science 40

Data Science Deep Learning Media Unstructured Data 40

ProjectPro

JULY 2, 2021

This task is achieved by designing algorithms that can extract meaning from large datasets in audio or text format by applying machine learning algorithms. Spelling/Grammar Checking Apps: The mobile applications and websites that offer users correct grammar mistakes in the entered text rely on NLP algorithms.

Algorithm 40

Algorithm Machine Learning Recruitment Banking 40

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.

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Hadoop Deep Learning Data Science Machine Learning 82

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 NoSQL Machine Learning 40

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 76

Data Engineering Data Engineer Engineering Pipeline-centric 76

Snowflake

OCTOBER 26, 2023

Generative AI uses neural networks and deep learning algorithms from LLMs to identify patterns in existing data to generate original content. But while the potential is theoretically limitless, there are a number of data challenges and risks HCLS executives need to be aware of when using AI that can create new content.

Healthcare 82

Healthcare Unstructured Data High Quality Data Medical 82

Databand.ai

DECEMBER 13, 2022

Follow Joseph on LinkedIn 2) Charles Mendelson Associate Data Engineer at PitchBook Data Charles is a skilled data engineer focused on telling stories with data and building tools to empower others to do the same, all in the pursuit of guiding a variety of audiences and stakeholders to make meaningful decisions.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

AltexSoft

MAY 5, 2023

AI in a nutshell Artificial Intelligence (AI) , at its core, is a branch of computer science that focuses on developing algorithms and computer systems capable of performing tasks that typically require human intelligence. This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

AltexSoft

NOVEMBER 1, 2023

NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data. Modern content platforms, from news websites to streaming services like Netflix, harness NER to fine-tune their recommendation algorithms.

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 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

JULY 27, 2021

These days, the true power of customer experience personalization can be realized with the help of machine learning. By utilizing ML algorithms and data, it is possible to create smart models that can precisely predict customer intent and as such provide quality one-to-one recommendations. Source: Medium.

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Machine Learning Systems Algorithm Deep Learning 76