Edureka

JUNE 7, 2024

paintings, songs, code) Historical data relevant to the prediction task (e.g., paintings, songs, code) Historical data relevant to the prediction task (e.g., From a technical standpoint, generative AI models depend on various architectures and algorithms to achieve their remarkable creative capabilities.

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

Snowflake

APRIL 20, 2023

When asked what trends are driving data and AI , I explained two broad themes: The first is seeing more models and algorithms getting productionized and rolled out in interactive ways to the end user. Figure 1: Visual Question Answering Challenge data types and results.

Building 116

Building Unstructured Data Government Coding 116

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

Knowledge Hut

APRIL 23, 2024

View A broader view of data Narrower view of data Data Data is gleaned from diverse sources. Data is gleaned from structured and specific sources Volume Massive volumes of data Smaller volumes of data Analysis Entails techniques like data aggregation, fusion, etc.,

Data Mining 52

Data Mining Big Data Database-centric Unstructured Data 52

Knowledge Hut

DECEMBER 21, 2023

In the present-day world, almost all industries are generating humongous amounts of data, which are highly crucial for the future decisions that an organization has to make. This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 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

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

RandomTrees

JUNE 17, 2024

This article looks into AI’s different uses in financial fraud detection, with a focus on techniques involving anomaly detection, machine learning algorithms, and real-time data analysis that help safeguard the credibility of financial systems. Machine Learning Algorithms Machine learning is very much important in fraud detection.

Banking 52

Banking Deep Learning Finance Machine Learning 52

ProjectPro

JANUARY 27, 2023

Top 7 Data Science Applications in Finance Financial technology, or FinTech, refers to the use of technology by providers of financial services to optimize the usage and delivery of their services to customers. Algorithmic Trading Algorithmic trading is an exciting real-world application of data science in finance.

Finance 52

Finance Data Science Unstructured Data Algorithm 52

Knowledge Hut

MARCH 19, 2024

The broad discipline of data science is concerned with applying different scientific methods and techniques to analyze both organized and unstructured data. Data science uses and explores a variety of methods, including machine learning (ML), data mining (DM), and artificial intelligence ( AI ).

Software Engineer 52

Software Engineer Software Engineering Engineering IT 52

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

Knowledge Hut

MAY 23, 2024

Matlab: Matlab is a closed-source, high-performing, numerical, computational, simulation-making, multi-paradigm data science tool for processing mathematical and data-driven tasks. Through this tool, researchers and data scientists can perform matrix operations, analyze algorithmic performance, and render data statistical modeling.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Knowledge Hut

DECEMBER 26, 2023

What i s Data Science and Why is it Important? Data Science is the study of extracting insights from massive amounts of data using various scientific approaches, processes and algorithms. The development of big data, data analysis, and quantitative statistics has given rise to the term "data science."

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

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

Knowledge Hut

JANUARY 18, 2024

Roles and Responsibilities Design machine learning (ML) systems Select the most appropriate data representation methods. Research and implement machine learning tools and algorithms. Choose data sets. Data Scientists A data scientist’s role is to collect, analyze, and interpret massive amounts of data.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

Edureka

SEPTEMBER 23, 2024

What is Data Science? Data Science is an applied science that deals with the process of obtaining valuable information from structured and unstructured data. They use various tools, techniques, and methodologies borrowed from statistics, mathematics computer science to analyze large amounts of data.

Data Science 40

Data Science Data Mining Computer Science Finance 40

Cloudera

AUGUST 4, 2021

Data volume and variety: The platform must handle a wide variety of data types , f rom intermittent readings of sensor data (temperature, pressure, and vibrations) to unstructured data (e.g., images, video, text, spectral data) or other input such as thermographic or acoustic signals. .

Unstructured Data 98

Unstructured Data Data Ingestion Government Machine Learning 98

Cloudera

NOVEMBER 14, 2023

Credit scoring and risk assessment: Traditional credit scoring models rely on narrow and limited financial data, making it difficult for individuals without a well-established credit history to access loans or other financial products.

Banking 74

Banking Education Unstructured Data Algorithm 74

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

Knowledge Hut

DECEMBER 22, 2023

Statistics Statistics are at the heart of complex machine learning algorithms in data science, identifying and converting data patterns into actionable evidence. Microsoft Excel An effective Excel spreadsheet will arrange unstructured data into a legible format, making it simpler to glean insights that can be used.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Cloudera

OCTOBER 5, 2023

However, many organizations have data silos, for instance when each department’s data is historically stored in disparate locations. Additionally, structured and unstructured data is often separate. By eliminating data silos, your data insights enable smarter and more accurate business decisions.

Data Governance 83

Data Governance Unstructured Data Government High Quality Data 83

Knowledge Hut

JANUARY 18, 2024

Data Science is a field of study that handles large volumes of data using technological and modern techniques. This field uses several scientific procedures to understand structured, semi-structured, and unstructured data. Both data science and software engineering rely largely on programming skills.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

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. Input Data Structured data from various sources, such as databases, spreadsheets, and ERP systems. Tools OLAP, data visualization, reporting, and dashboards.

Business Intelligence 52

Business Intelligence BI Data Mining Algorithm 52

Cloudera

DECEMBER 19, 2023

Ensure you can trust your data by using only diverse, high-quality training data that represents different demographics and viewpoints. Make sure to audit data regularly. Have plans to address issues like harmful content generation, data abuse, and algorithmic bias. Develop mitigation strategies.

Government 90

Government Education Unstructured Data Algorithm 90

Cloudera

OCTOBER 28, 2020

To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data. Rabobank runs sophisticated machine learning algorithms and financial models to help customers manage their financial obligations, including loan repayments. .

Unstructured Data 73

Unstructured Data Banking Machine Learning Media 73

Knowledge Hut

APRIL 26, 2024

Let's take a look at all the fuss about data science , its courses, and the path to the future. What is Data Science? In order to discover insights and then analyze multiple structured and unstructured data, Data Science requires the use of different instruments, algorithms and principles.

Data Science 52

Data Science Machine Learning Hadoop Algorithm 52

Knowledge Hut

DECEMBER 26, 2023

You can look for data science certification courses online and choose one that matches your current skill levels, schedule, and the outcome you desire. Mathematical concepts like Statistics and Probability, Calculus, and Linear Algebra are vital in pursuing a career in Data Science.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

Knowledge Hut

APRIL 23, 2024

Data Usage It stores the data in a sorted manner for future use. It uses data from the past and present to make decisions related to future growth. Data Type Data science deals with both structured and unstructured data. Business Intelligence only deals with structured data.

Business Intelligence 52

Business Intelligence Data Science BI Unstructured Data 52

Knowledge Hut

MARCH 15, 2024

7) DP-203: Microsoft Azure Data Engineer Associate Your proficiency in developing and executing data solutions that make use of Microsoft Azure data services will grow with the assistance of this professional certificate. To comprehend the efficiency of algorithms, learn to examine their time and space complexity.

Cloud Computing 52

Cloud Computing Certification Algorithm SQL 52

Cloudera

JUNE 12, 2024

AI and ML for Risk Management ML models can analyze large volumes of data to identify patterns and anomalies indicating potential risks such as fraud, money laundering or credit default, enabling proactive mitigation. ML models enhance anti-money laundering (AML) compliance by detecting suspicious transaction patterns and customer behaviors.

Finance 77

Finance Portfolio Government Unstructured Data 77

Knowledge Hut

DECEMBER 26, 2023

Importance of Big Data Companies Big Data is intricate and can be challenging to access and manage because data often arrives quickly in ever-increasing amounts. Both structured and unstructured data may be present in this data. Microsoft's Big Data strategy is broad and expanding rapidly.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

Knowledge Hut

JUNE 4, 2024

Data science is an interdisciplinary field that employs scientific techniques, procedures, formulas, and systems to draw conclusions and knowledge from a variety of structured and unstructured data sources. Finally, data science can be used to develop better products.

Data Science 52

Data Science Data Mining Media Recruitment 52

Monte Carlo

NOVEMBER 9, 2023

We *know* what we’re putting in (raw, often unstructured data) and we *know* what we’re getting out, but we don’t know how it got there. At the end of the day, if generative AI is used in internal processes to extract analysis and insight from unstructured data – it will be used in… drumroll… a data pipeline.

Unstructured Data 86

Unstructured Data Database Data Pipeline Architecture 86

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

Data Engineering Podcast

FEBRUARY 24, 2019

What is your litmus test for whether to use deep learning vs explicit ML algorithms or a basic decision tree? Deep learning algorithms are often a black box in terms of how decisions are made, however regulations such as GDPR are introducing requirements to explain how a given decision gets made.

Deep Learning 100

Deep Learning Data Engineering Data Engineer Engineering 100

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

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.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98