Knowledge Hut

MAY 2, 2024

They are Statistics Probability Calculus Linear Algebra Machine learning is all about dealing with data. We collect the data from organizations or from any repositories like Kaggle, UCI etc., and perform various operations on the dataset like cleaning and processing the data, visualizing and predicting the output of the data.

Machine Learning 98

Machine Learning Algorithm Datasets Deep Learning 98

Knowledge Hut

APRIL 23, 2024

Big data has revolutionized the world of data science altogether. With the help of big data analytics, we can gain insights from large datasets and reveal previously concealed patterns, trends, and correlations. Learn more about the 4 Vs of big data with examples by going for the Big Data certification online course.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Knowledge Hut

MAY 3, 2024

Memory Management RDD is used by Spark to store data in a distributed fashion (i.e., Spark's primary data structure is Resilient Distributed Datasets (RDD). It is a distributed collection of immutable things. Each dataset in an RDD is split into logical divisions that may be calculated on several cluster nodes.

Kafka 98

Kafka Scala Java Amazon Web Services 98

Monte Carlo

MARCH 18, 2024

Choose the Right Data to Audit Your organization may want to audit your entire arsenal of data, or you may select a few datasets to audit individually. Choose the right datasets and clearly communicate to the responsible parties why the audit is being performed. Am I repeating someone else’s work?”).

Datasets 52

Datasets Data Pipeline BI Data 52

Data Engineering Podcast

NOVEMBER 20, 2022

Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. What are the biggest data-related challenges that you face (technically or organizationally)?

Systems 130

Systems Metadata Data Pipeline MongoDB 130

Snowflake

JUNE 13, 2023

Learn how tesa, one of the world’s leading manufacturers of adhesive tapes and self-adhesive product solutions, combines more than 30 datasets to improve operations and take advantage of IoT technology – all through Snowflake’s Data Cloud. Snowflake allows us to do that.

Cloud 52

Cloud Manufacturing Datasets Scala 52

Knowledge Hut

JUNE 26, 2023

When screening resumes, most hiring managers prioritize candidates who have actual experience working on data engineering projects. Top Data Engineering Projects with Source Code Data engineers make unprocessed data accessible and functional for other data professionals. Which queries do you have?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

SEPTEMBER 27, 2023

Power BI is a robust data analytics tool, that enable analysis, dynamic dashboards, and seamless data integration. Meanwhile, Salesforce serves as a versatile Customer Relationship Management (CRM) platform, ideal for data collection, workflow management, and business insights. till the end of delivery time and location.

BI 52

BI Datasets Data Security Data Analysis 52

Knowledge Hut

FEBRUARY 7, 2023

DATA Step: The data step includes all SAS statements, beginning with line data and ending with line datalines. In this step, we can define and modify the values in the relevant dataset. We use different SAS statements for reading the data, cleaning and manipulating it in the data step prior to analyzing it.

Data Science 52

Data Science Datasets SQL Data Mining 52

Knowledge Hut

JANUARY 19, 2024

Embracing data science isn't just about understanding numbers; it's about wielding the power to make impactful decisions. Imagine having the ability to extract meaningful insights from diverse datasets, being the architect of informed strategies that drive business success. That's the promise of a career in data science.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Cloudera

FEBRUARY 8, 2021

To accomplish this, ECC is leveraging the Cloudera Data Platform (CDP) to predict events and to have a top-down view of the car’s manufacturing process within its factories located across the globe. . Having completed the Data Collection step in the previous blog, ECC’s next step in the data lifecycle is Data Enrichment.

Data Pipeline 116

Data Pipeline Building Manufacturing Data Warehouse 116

Knowledge Hut

JULY 26, 2023

Consider exploring relevant Big Data Certification to deepen your knowledge and skills. What is Big Data? Big Data is the term used to describe extraordinarily massive and complicated datasets that are difficult to manage, handle, or analyze using conventional data processing methods.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Towards Data Science

DECEMBER 4, 2023

We won’t be alone in this data collection; thankfully, there are data integration tools available in the market that can be adopted to configure and maintain ingestion pipelines in one place (e.g. At this stage, it’s not about ingesting data and we’ll focus more and more on business use cases.

Data Engineering 83

Data Engineering Data Engineer Engineering Data Lake 83

ProjectPro

JANUARY 31, 2023

That is why data scarcity has become a significant problem, particularly in research domains like healthcare and finance, where the data is confidential or not easily accessible for machine learning professionals who want to leverage it. Given enough training data, machine learning models can smoothly solve challenging problems.

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

Knowledge Hut

FEBRUARY 29, 2024

Before going on to what Anaconda is, we need to understand what data science is and the major requirements in this field. Anaconda (or Anaconda Navigator) is an open-source platform that provides data science toolkits and inbuilt packages for performing various data science tasks. Dataset can be downloaded from here.

Data Science 52

Data Science Project Datasets Python 52

Cloudera

APRIL 9, 2021

This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection.

Machine Learning 98

Machine Learning Manufacturing Data Collection Data Science 98

Knowledge Hut

JANUARY 24, 2024

This blog offers an exclusive glimpse into the daily rituals, challenges, and moments of triumph that punctuate the professional journey of a data scientist. The primary objective of a data scientist is to analyze complex datasets to uncover patterns, trends, and valuable information that can aid in informed decision-making.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

Knowledge Hut

DECEMBER 26, 2023

According to the Cybercrime Magazine, the global data storage is projected to be 200+ zettabytes (1 zettabyte = 10 12 gigabytes) by 2025, including the data stored on the cloud, personal devices, and public and private IT infrastructures. The dataset can be either structured or unstructured or both.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

NOVEMBER 27, 2023

A data scientist’s job needs loads of exploratory data research and analysis on a daily basis with the help of various tools like Python, SQL, R, and Matlab. This role is an amalgamation of art and science that requires a good amount of prototyping, programming and mocking up of data to obtain novel outcomes.

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

Edureka

APRIL 24, 2024

Stable Diffusion Stable Diffusion is an open-source AI model that democratises access to AI-driven image generation. The platform champions user-friendliness and its design ensures accessibility to AI art even for individuals unacquainted with either technology or artistic backgrounds.

Datasets 40

Datasets Technology Designing Data Collection 40

Knowledge Hut

DECEMBER 21, 2023

Cloud-based storage and analytical platform helps business to easily access their data whenever required irrespective of where it is located physically. Security : Cloud providers offer various security features which includes data encryption and access control, that can help businesses to protect their data from unauthorized access.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

Knowledge Hut

JULY 28, 2023

Data Requirements ML models typically require more labelled training data to achieve good performance. DL models can learn from large amounts of labelled or unlabelled data, potentially reducing the need for extensive labelled datasets. Data Pre-processing : Cleaning, transforming, and preparing the data for analysis.

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

Knowledge Hut

FEBRUARY 7, 2023

Statistics is a well-known field primarily concerned with data collecting, data organization, data analysis, data interpretation, and data visualization. Anyone who has worked with big volumes of data understands how often repetition occurs.

Data Science 52

Data Science Python Datasets Data 52

Knowledge Hut

JULY 4, 2023

Data analysis and Interpretation: It helps in analyzing large and complex datasets by extracting meaningful patterns and structures. By identifying and understanding patterns within the data, valuable insights can be gained, leading to better decision-making, and understanding of underlying relationships.

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

Knowledge Hut

NOVEMBER 20, 2023

Fraud detection with AI and machine learning operates on the principle of learning from data. Here's how it works: Data Collection: The first step is to gather data. This data may contain transaction histories, client information, and past fraud incidents in the context of fraud detection.

Insurance 52

Insurance Banking Machine Learning Algorithm 52

ProjectPro

OCTOBER 29, 2021

Real-world databases are often incredibly noisy, brimming with missing and inconsistent data and other issues that are often amplified by their enormous size and heterogeneous sources of origin caused by what seems to be an unending pursuit to amass more data.

Data Mining 52

Data Mining Datasets Machine Learning Metadata 52

Data Engineering Weekly

NOVEMBER 20, 2022

Google AI: The Data Cards Playbook: A Toolkit for Transparency in Dataset Documentation Google published Data Cards , a dataset documentation framework aimed at increasing transparency across dataset lifecycles. link] The short YouTube video gives a nice overview of the Data Cards.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

AltexSoft

MAY 27, 2022

The main sources of such data are electronic health record ( EHR ) systems which capture tons of important details. Yet, there’re a few essential things to keep in mind when creating a dataset to train an ML model. Inpatient data anonymization. Medical datasets with inpatient details. Syntegra synthetic data.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Ascend.io

SEPTEMBER 14, 2023

We’ll explore its advantages, delve into its applications, and highlight why Python is increasingly becoming the first choice for data engineers worldwide. Why Python for Data Engineering? As the field of data engineering evolves, the need for a versatile, performant, and easily accessible language becomes paramount.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

AltexSoft

JUNE 7, 2021

Apache Hadoop is an open-source framework written in Java for distributed storage and processing of huge datasets. The keyword here is distributed since the data quantities in question are too large to be accommodated and analyzed by a single computer. High latency of data access. No real-time data processing.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Monte Carlo

JULY 11, 2023

In other words, is it likely your data is accurate based on your expectations? Data collection methods: Understand the methodology used to collect the data. Look for potential biases, flaws, or limitations in the data collection process. Consistency: Consistency is an important aspect of data quality.

Data Cleanse 40

Data Cleanse Datasets Data Governance Government 40

Knowledge Hut

JANUARY 30, 2024

In summary, data extraction is a fundamental step in data-driven decision-making and analytics, enabling the exploration and utilization of valuable insights within an organization's data ecosystem. What is the purpose of extracting data? The process of discovering patterns, trends, and insights within large datasets.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

JUNE 28, 2023

By examining these factors, organizations can make informed decisions on which approach best suits their data analysis and decision-making needs. Parameter Data Mining Business Intelligence (BI) Definition The process of uncovering patterns, relationships, and insights from extensive datasets.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. MapReduce is a Hadoop framework used for processing large datasets.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Knowledge Hut

FEBRUARY 28, 2024

To analyze big data, we require sophisticated software and dedicated databases. It involves extracting valuable insights from these massive datasets to gain a competitive advantage. Once we manage to harness it correctly, the future of big data is undeniable. Looking to dive into the world of data science ?

Big Data 52

Big Data Cloud Storage Healthcare SQL 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 Datasets Algorithm Machine Learning 52

AltexSoft

NOVEMBER 15, 2022

To determine when occupancy will be higher and when lower and what prices should be considered for a given period, you can take advantage of machine learning powered by data. Dataset preparation and construction. The starting point of any machine learning task is data. A lot of data, to be exact. Data sources.

Hospitality 52

Hospitality Building Datasets Machine Learning 52