Ascend.io

FEBRUARY 28, 2024

Read More: AI Data Platform: Key Requirements for Fueling AI Initiatives How Data Engineering Enables AI Data engineering is the backbone of AI’s potential to transform industries , offering the essential infrastructure that powers AI algorithms.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Knowledge Hut

MAY 3, 2024

Unsupervised Learning: If the available dataset has predefined features but lacks labels, then the Machine Learning algorithms perform operations on this data to assign labels to it or to reduce the dimensionality of the data. Easy to use: Decision Trees are one of the simplest, yet most versatile algorithms in Machine Learning.

Machine Learning 98

Machine Learning Algorithm Datasets Medical 98

Knowledge Hut

DECEMBER 29, 2023

Data Mining Data science field of study, data mining is the practice of applying certain approaches to data in order to get useful information from it, which may then be used by a company to make informed choices. It separates the hidden links and patterns in the data. Data mining's usefulness varies per sector.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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. Input Data Structured data from various sources, such as databases, spreadsheets, and ERP systems.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Striim

MAY 1, 2024

This platform acts as the primary structured data repository in Google Cloud. Concurrently, SQL Server data is thoroughly cleaned in Link Data, which also extracts images and email attachments from different systems, ensuring data integrity and availability.

Google Cloud 52

Google Cloud Insurance Finance Machine Learning 52

Knowledge Hut

APRIL 23, 2024

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. It is not as flexible as BI data sources always have to be pre-planned.

Business Intelligence 52

Business Intelligence Data Science BI Unstructured Data 52

U-Next

JUNE 29, 2022

What is Data Structure? Data structures serve as the foundation for abstract data types (ADT) in computer science, where ADT is the logical form of data types. Data structures are used to implement the physical architecture of data kinds. What is Searching in Data Structure?

Algorithm 52

Algorithm Computer Science Data Data Collection 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

Cloudera

NOVEMBER 15, 2021

In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. Here we briefly describe some of the challenges that data poses to AI.

Unstructured Data 86

Unstructured Data Pipeline-centric Database-centric Entertainment 86

Knowledge Hut

JANUARY 19, 2024

Entering the world of data science is a strategic move in the 21st century, known for its lucrative opportunities. With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. Recognizing the growing need for data scientists, institutions worldwide are intensifying efforts to meet this demand.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Data Engineering Podcast

AUGUST 31, 2020

Today’s episode of the Data Engineering Podcast is sponsored by Datadog, a SaaS-based monitoring and analytics platform for cloud-scale infrastructure, applications, logs, and more. How does Firebolt compare to other data warehouse technologies what unique features does it provide?

Data Warehouse 100

Data Warehouse Cloud Building Data Lake 100

AltexSoft

JUNE 29, 2021

For example, Netflix takes advantage of ML algorithms to personalize and recommend movies for clients, saving the tech giant billions. The focus here is on engineering, not on building ML algorithms. Machine learning engineer vs. data engineer. Analyzing and improving ML algorithms. Data-related expertise.

Machine Learning 105

Machine Learning Engineering Algorithm Programming Language 105

Knowledge Hut

DECEMBER 21, 2023

Since the architecture is flexible, one can easily modify the algorithms. Features: Mahout supports several ML algorithms used for clustering the data, classifying them, regression, etc. Mahout can be used to deploy large-scale ML algorithms. It can easily convert unstructured data to structured data.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Knowledge Hut

FEBRUARY 29, 2024

A database is a structured data collection that is stored and accessed electronically. According to a database model, the organization of data is known as database design. File systems can store small datasets, while computer clusters or cloud storage keeps larger datasets.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Edureka

AUGUST 2, 2023

Python offers a strong ecosystem for data scientists to carry out activities like data cleansing, exploration, visualization, and modeling thanks to modules like NumPy, Pandas, and Matplotlib. Data scientists use SQL to query, update, and manipulate data.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

Knowledge Hut

DECEMBER 6, 2023

Data scientists are responsible for tasks such as data cleansing and organization, discovering useful data sources, analyzing massive amounts of data to find relevant patterns, and inventing algorithms. If you are fascinated by massive data sets and numbers, this is the best career option for you.

Programming Language 52

Programming Language Data Cleanse Computer Science Education 52

Knowledge Hut

JUNE 28, 2023

Focus Exploration and discovery of hidden patterns and trends in data. Reporting, querying, and analyzing structured data to generate actionable insights. Data Sources Diverse and vast data sources, including structured, unstructured, and semi-structured data.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

Rockset

MAY 13, 2021

If you think about Instagram, you're scrolling on the app, it's showing you relevant pictures and videos from users on that app and that's all coming through using an algorithm. Complex analytics - You need to join and aggregate data across multiple product lines to be able to better understand relationships.

Aggregated Data 52

Aggregated Data Algorithm Machine Learning Structured Data 52

Knowledge Hut

MARCH 22, 2024

The C programming language plays a crucial role in Data Structure and Algorithm (DSA). Since C is a low-level language, it allows for direct memory manipulation, which makes it perfect for implementing complex data structures and algorithms efficiently. What is a Data Structure?

Algorithm 52

Algorithm Programming Language Software Engineer Software Engineering 52

ProjectPro

MARCH 17, 2021

Machine learning makes use of a set of learning algorithms (supervised or unsupervised learning process) to analyze the data, interpret it, learn from it, and make the best possible business decisions based on the learnings. But how will the ML algorithm know which one is Apple and which one is Orange?

Deep Learning 52

Deep Learning Machine Learning Algorithm Datasets 52

DataKitchen

FEBRUARY 27, 2024

LLMs have the potential to revolutionize how we interact with data, automate processes, and extract insights. However, the foundation of their success rests not just on sophisticated algorithms or computational power but on the quality and integrity of the data they are trained on and interact with.

Data Engineering 48

Data Engineering Data Engineer Engineering Unstructured Data 48

ProjectPro

SEPTEMBER 29, 2021

Machine learning helps solve problems similar to how humans would but using large-scale data and automated processes. Machine learning has algorithms that are used in natural language processing, computer vision , robotics more efficiently. Machine learning is a way to solve real-world AI problems. This is called supervised learning.

Machine Learning 52

Machine Learning Deep Learning Algorithm Datasets 52

AltexSoft

AUGUST 18, 2021

But nothing is impossible for people armed with intellect and algorithms. Flight dataset structure. To get an idea of how to structure data for airfare prediction, let’s take a look at the above-mentioned Kaggle’s training dataset, which contains over 10,000 records about flights executed between March and June 2019.

Algorithm 59

Algorithm Datasets R (Programming) Machine Learning 59

Knowledge Hut

APRIL 25, 2023

The tremendous growth in data generation, then the rise in data engineer jobs - there’s no arguing the fact that the big data industry is at its best pace and you, as an aspiring data engineer, have a lot to learn and make out of it - including some tools! While they go about it - enter big data data engineer tools.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

phData: Data Engineering

SEPTEMBER 19, 2023

Before diving into the data models for data lakes, let’s look at the difference between a data warehouse and a data lake. There are tools designed specifically to analyze your data lake files, determine the schema, and allow for SQL statements to be run directly off this data.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Knowledge Hut

DECEMBER 26, 2023

In this list, you will find the best data scientist books to take you further in your career as a data scientist. Deep Learning By Ian Goodfellow, Yoshua Bengio, and Aaron Courville As an advanced learner, this book should be your Bible for learning about deep learning algorithms.

Data Science 52

Data Science Scala Programming Language R (Programming) 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. Text Sequencing c.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Edureka

FEBRUARY 8, 2024

Financial Modelling- In the financial sector, where complex calculations and simulations are prevalent, C-Series instances are valuable for running financial models, risk assessments, and algorithmic trading strategies. This is beneficial for tasks like data transformation, data cleansing, and data analysis.

AWS 52

AWS NoSQL Deep Learning Datasets 52

Knowledge Hut

JULY 26, 2023

This velocity aspect is particularly relevant in applications such as social media analytics, financial trading, and sensor data processing. Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Handling this variety of data requires flexible data storage and processing methods.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Silectis

JANUARY 3, 2021

Data Science Data science is a practice that uses scientific methods, algorithms and systems to find insights within structured and unstructured data. Data Visualization Graphic representation of a set or sets of data. Data Warehouse A storage system used for data analysis and reporting.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

AUGUST 29, 2023

Data sources can be broadly classified into three categories. Structured data sources. These are the most organized forms of data, often originating from relational databases and tables where the structure is clearly defined. Semi-structured data sources. Exploratory data analysis (EDA).

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

U-Next

DECEMBER 2, 2022

This is due in part to Python’s efficient data structures and algorithms. A Data Scientist is knowledgeable about solutions to numerous types of data-related problems and knowledge of how to use the essential algorithms, statistics, and mathematical models to provide the requisite solutions.

Machine Learning 40

Machine Learning Data Science Python Programming Language 40

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. Unstructured data is unavoidable, yet extremely valuable. However useful, CDSSs are mostly limited to processing only structured data.

Medical 52

Medical Healthcare Process Hospitality 52

Rockset

MAY 21, 2021

The latest data is fed into an algorithm that spits out the live order status to pizza lovers. It enabled the brand to go viral and showed that investments in real-time big data analytics attracted customers (and made for pretty cool commercials). The Dominos’ Pizza Tracker is the quintessential example of real-time analytics.

Retail 40

Retail Algorithm Big Data Data Analytics 40

AltexSoft

MARCH 28, 2022

Buy ready-to-use, structured data from providers such as Airbtics , AirDNA , AllTheRooms , Rabbu , or Mashvisor. When working with Key Data, our data science team used a content-based filtering algorithm to set side by side key KPIs of properties on a regional basis. Airbnb instantly purchasable datasets.

Hospitality 52

Hospitality Business Intelligence Datasets Machine Learning 52

Confluent

AUGUST 29, 2019

We will cover how you can use them to enrich and visualize your data, add value to it with powerful graph algorithms, and then send the result right back to Kafka. Instead of storing tables and columns, Neo4j represents all data as a graph, meaning that the data is a set of nodes with labels and relationships.

Kafka 55

Kafka Process Algorithm Cloud 55

Monte Carlo

SEPTEMBER 27, 2023

Their Audience Pinpoint tool, designed to aid game developers in targeted player acquisition and advertising, ingested bad data from a large customer — causing major inaccuracies in the training sets for its predictive ML algorithms, and a subsequent dip in performance.

Data Governance 52

Data Governance Government Data Data Pipeline 52