Knowledge Hut

APRIL 26, 2024

Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems. Machine learning uses algorithms that comb through data sets and continuously improve the machine learning model.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

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 85

Healthcare Unstructured Data High Quality Data Medical 85

Knowledge Hut

MAY 3, 2024

Analytics - Spark can be very useful when building real-time analytics from a stream of incoming data. E-commerce - Information about the real-time transaction can be passed to streaming clustering algorithms like alternating least squares or K-means clustering algorithm.

Scala 98

Scala Hadoop Healthcare Big Data 98

AltexSoft

APRIL 27, 2023

This phase involves numerous clinical trial systems and largely relies on clinical data management practices to organize information generated during medical research. How could data analytics boost this process? Obviously, precision medicine requires a large amount of data and is enabled by advanced ML models.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

Knowledge Hut

JULY 28, 2023

Parameters Machine Learning (ML) Deep Learning (DL) Feature Engineering ML algorithms rely on explicit feature extraction and engineering, where human experts define relevant features for the model. DL models automatically learn features from raw data, eliminating the need for explicit feature engineering. What is Machine Learning?

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

ProjectPro

JULY 9, 2021

Suppose you’re among those fascinated by the endless possibilities of deep learning technology and curious about the popular deep learning algorithms behind the scenes of popular deep learning applications. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms? What is Deep Learning?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

Striim

AUGUST 28, 2024

The advent of real-time data processing revolutionized this paradigm, providing the means to analyze and act on data as it flows, thereby minimizing latency to sub-second and offering unparalleled scalability and adaptability to modern data streams.

Healthcare 52

Healthcare Retail Algorithm Finance 52

Edureka

JANUARY 18, 2024

For those looking to start learning in 2024, here is a data science roadmap to follow. What is Data Science? Data science is the study of data to extract knowledge and insights from structured and unstructured data using scientific methods, processes, and algorithms.

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

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

U-Next

AUGUST 11, 2022

It’s a study of Computer Algorithms, which helps self-improvement through experiences. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. It’s a subset of ML which is capable of learning from unstructured data. ML And AI Are The Future.

Medical 52

Medical Computer Science Scala Machine Learning 52

Knowledge Hut

JULY 26, 2023

It is widely utilized for its great scalability, fault tolerance, and quick write performance, making it ideal for large-scale data storage and real-time analytics applications. They provide specialized data types and indexing algorithms for storing and querying map, coordinate, and spatial relationship information.

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

MAY 31, 2023

AI Health Engine Language: Python Data set: CSV file Source code: Patient-Selection-for-Diabetes-Drug-Testing Artificial intelligence (AI) in healthcare is called the "AI Health Engine." The privacy and security of patient data and ensuring that AI algorithms are accurate, dependable, and impartial must be overcome.

Project 96

Project Healthcare Deep Learning Transportation 96

Knowledge Hut

JULY 26, 2023

Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Traditional data sources typically involve structured data, such as databases and spreadsheets. However, Big Data encompasses unstructured data, including text documents, images, videos, social media feeds, and sensor data.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Cloudera

OCTOBER 21, 2020

The Insurance industry is in uncharted waters and COVID-19 has taken us where no algorithm has gone before. Instead of in-person appointments or walkthroughs, insurance companies may now rely on drone footage, satellite imagery, social media posts, and mobile apps that gather data on customers. And the approach extends to insurers.

Insurance 72

Insurance Unstructured Data Hospitality Media 72

Edureka

AUGUST 2, 2023

Data processing analysts are experts in data who have a special combination of technical abilities and subject-matter expertise. They are essential to the data lifecycle because they take unstructured data and turn it into something that can be used.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

MAY 2, 2024

Spark is being used in more than 1000 organizations who have built huge clusters for batch processing, stream processing, building warehouses, building data analytics engine and also predictive analytics platforms using many of the above features of Spark. Some of these algorithms are also applicable to streaming data.

Scala 52

Scala Hospitality Healthcare Machine Learning 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 Deep Learning Datasets 122

AltexSoft

JUNE 26, 2023

From the perspective of data science, all miscellaneous forms of data fall into three large groups: structured, semi-structured, and unstructured. Key differences between structured, semi-structured, and unstructured data. Unstructured data represents up to 80-90 percent of the entire datasphere.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse. In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

JUNE 27, 2023

For example, computer scientists are developing wearable technologies & medical devices that can track vital signs & improve patient outcomes. Researchers in computer science are conducting groundbreaking work, developing algorithms for smart cities, discovering cures for diseases, and improving the efficiency of renewable energy.

Computer Science 52

Computer Science Entertainment Healthcare Finance 52

AltexSoft

MAY 27, 2021

Healthcare, for example, is filled with millions of patient records and medical forms. The documents often come in semi-structured and unstructured data formats, which makes them difficult to process quickly and accurately. The latter offers a fully-managed, HIPAA-compliant service called Amazon Comprehend Medical.

Technology 64

Technology Process Insurance Medical 64

Knowledge Hut

APRIL 23, 2024

Big Data Use Cases in Industries You can go through this section and explore big data applications across multiple industries. Clinical Decision Support: By analyzing vast amounts of patient data and offering in-the-moment insights and suggestions, use cases for big data in healthcare helps workers make well-informed judgments.

Big Data 52

Big Data Recruitment Retail Transportation 52

U-Next

SEPTEMBER 22, 2022

Increasing numbers of businesses are using predictive analytics techniques for everything from fraud detection to medical diagnosis by 2022, resulting in nearly 11 billion dollars in annual revenue. . Understanding The Types Of Predictive Modeling Algorithms . What Are Predictive Models? . Types Of Predictive Models .

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

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

JUNE 1, 2017

For these hadoop vendors, the big data market is all about big and fast data that includes cloud based services for Hadoop and other offerings for running Spark , big data pipelines, machine learning and Streaming.All these managed services are a boon for hadoop vendors to fulfill their promises in a broader ecosystem.

Hadoop 52

Hadoop Medical Pipeline-centric Database-centric 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. Then, algorithms construct and recreate potential choice patterns that might affect an organization differently.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

Knowledge Hut

NOVEMBER 16, 2023

More and more companies are focusing on hiring data scientists to help them unlock the true potential of their businesses and channelize maximum profits. A data scientist is a person expert in analytics, especially gathering and evaluating large chunks of structured and unstructured data to find trends and proper data management.

IT 52

IT Software Engineer Software Engineering Cloud Computing 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. KenSci is an AI-based solution that can analyze clinical data and predict sickness along with more intelligent resource allocation. All the neural network algorithms will get managed by Keras.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

MARCH 15, 2016

Such large commercial banks can leverage big data analytics more effectively by using frameworks like Hadoop on massive volumes of structured and unstructured data. Hadoop allows us to store data that we never stored before. This section will elaborate about the usage of Big Data and Hadoop in the healthcare industry.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

AUGUST 16, 2021

FAQs on Machine Learning Projects for Resume Machine Learning Projects for Resume - A Must-Have to Get Hired in 2021 Machine Learning and Data Science have been on the rise in the latter part of the last decade. Quite similar to classification is clustering but with the minor difference of working with unlabelled data.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

AltexSoft

OCTOBER 3, 2022

Amazon Alexa, Google Assistant, and Apple Siri chatbots have their own knowledge graphs that help answer a wide range of questions from geolocation, for example, to find nearby restaurants or historical information about any location, to real estate and medical inquiries. Knowledge graphs for enterprise data integration.

Relational Database 52

Relational Database Banking Media Computer Science 52

ProjectPro

MARCH 17, 2014

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: twitter.com There are hundreds of companies like Facebook, Twitter, and LinkedIn generating yottabytes of data. What is Big Data according to EMC?

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

ProjectPro

NOVEMBER 14, 2015

Hadoop can be used to carry out data processing using either the traditional (map/reduce) or Spark-based (providing an interactive platform to process queries in real-time) approach. Given a graphical relation between variables, an algorithm needs to be developed which predicts which two nodes are most likely to be connected?

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

JUNE 2, 2015

May 26, Wall Street Journal: “Big Data Brings Relief to Allergy Medicine Supply Chains” Bayer AG a manufacturer of the allergy drug Claritin is using big data to get ahead of the seasonal trends. May 6, UK IT News V3.co.uk

Big Data 40

Big Data Hadoop Banking Data Analytics 40

Knowledge Hut

MAY 23, 2024

Comparison Between Full Stack Developer vs Data Scientist Let’s compare Full stack vs data science to understand which is better, data science or full stack developer. Specifications Full stack developer Data scientist Term It is the creation of websites for the intranet, which is a public platform.

Computer Science 98

Computer Science Java Data Science Certification 98

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 also teaches how to derive and incorporate optimization algorithms for the models. Who is an NLP Engineer?

Engineering 52

Engineering Unstructured Data Certification Computer Science 52

U-Next

SEPTEMBER 23, 2022

By analyzing a set of securities through the use of economic variables and correlations between them, a trading algorithm is used to evaluate a set of securities. . How Do Data Science, AI, and Machine Learning Work Together? . Structured and unstructured data are the two types of data that are dealt with by Data Science. .

Machine Learning 40

Machine Learning Data Science Manufacturing Healthcare 40