Data Preparation and Raw Data in Machine Learning
KDnuggets
JULY 12, 2022
In this article, I will describe the data preparation techniques for machine learning.
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KDnuggets
JULY 12, 2022
In this article, I will describe the data preparation techniques for machine learning.
Hevo
DECEMBER 6, 2024
Data preparation tools are very important in the analytics process. They transform raw data into a clean and structured format ready for analysis. These tools simplify complex data-wrangling tasks like cleaning, merging, and formatting, thus saving precious time for analysts and data teams.
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KDnuggets
JULY 5, 2022
Leverage the powerful data wrangling tools in R’s dplyr to clean and prepare your data.
KDnuggets
JUNE 27, 2022
If your raw data is in a SQL-based data lake, why spend the time and money to export the data into a new platform for data prep?
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
KDnuggets
OCTOBER 2, 2019
As data scientists who are the brains behind the AI-based innovations, you need to understand the significance of data preparation to achieve the desired level of cognitive capability for your models. Let’s begin.
Analytics Vidhya
FEBRUARY 28, 2023
Introduction Data science has taken over all economic sectors in recent times. To achieve maximum efficiency, every company strives to use various data at every stage of its operations.
ArcGIS
DECEMBER 19, 2023
We will dive into our best practices for preparing and using training samples for object detection models.
Towards Data Science
JULY 8, 2024
TensorFlow Transform: Ensuring Seamless Data Preparation in Production was originally published in Towards Data Science on Medium, where people are continuing the conversation by highlighting and responding to this story. Unless otherwise noted, all images are by the author.
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Data Science Blog: Data Engineering
AUGUST 22, 2024
Businesses need to understand the trends in data preparation to adapt and succeed. If you input poor-quality data into an AI system, the results will be poor. This principle highlights the need for careful data preparation, ensuring that the input data is accurate, consistent, and relevant.
Analytics Vidhya
MARCH 13, 2023
It is intended to assist organizations in simplifying the big data and analytics process by providing a consistent experience for data preparation, administration, and discovery. Introduction Microsoft Azure Synapse Analytics is a robust cloud-based analytics solution offered as part of the Azure platform.
InData Labs
JANUARY 12, 2021
Запись Everything You Need to Know About Data Preparation впервые появилась InData Labs. With the help of machine learning, It provides a lot more than just profit – it offers understanding and insight, with one exception.
Edureka
JULY 5, 2024
Tableau Prep is a fast and efficient data preparation and integration solution (Extract, Transform, Load process) for preparing data for analysis in other Tableau applications, such as Tableau Desktop. simultaneously making raw data efficient to form insights.
Cloudera
DECEMBER 4, 2024
introduces new features specifically designed to fuel GenAI initiatives: New AI Processors: Harness the power of cutting-edge AI models with new processors that simplify integration and streamline data preparation for GenAI applications. Accelerating GenAI with Powerful New Capabilities Cloudera DataFlow 2.9
KDnuggets
DECEMBER 12, 2023
This article provides an overview of two new data preparation techniques that enable data democratization while minimizing transformation burdens.
KDnuggets
JULY 20, 2022
14 Essential Git Commands for Data Scientists • Statistics and Probability for Data Science • 20 Basic Linux Commands for Data Science Beginners • 3 Ways Understanding Bayes Theorem Will Improve Your Data Science • Learn MLOps with This Free Course • Primary Supervised Learning Algorithms Used in Machine Learning • Data Preparation with SQL Cheatsheet. (..)
KDnuggets
MARCH 28, 2023
Most essential skills are programming, data preparation, statistical analysis, deep learning, and natural language processing.
KDnuggets
OCTOBER 2, 2024
Text mining in R helps you explore large text data to find patterns and insights. This article walks through the basics of using R for text mining, from data preparation to analysis.
Cloudyard
DECEMBER 24, 2024
To address these challenges, Company implements a three-layer architecture : RAW Layer : Stores ingested data directly from source systems without transformations. SILVER Layer : Cleansed and enriched data prepared for analytical processing. SEMANTIC Layer: Aggregated View in Semantic layer on top of GOLDEN layer tables.
Data Engineering Weekly
JANUARY 15, 2025
Core Responsibilities of AI Data Engineers To understand the significance of the role, let’s break down the responsibilities of AI Data Engineers into key categories: 1. Data Preparation and Preprocessing Design and implement pipelines to preprocess diverse data types, including text, images, videos, and tabular data.
Cloudera
NOVEMBER 13, 2024
Data Preparation. Given the cost constraints of hosting and infrastructure, the goal is to fine tune a model that is small enough to host on a consumer GPU and can provide the same accuracy as a larger model.
KDnuggets
AUGUST 15, 2023
The post reviews 6 top tools for improving productivity with Snowflake for data preparation, visualization, integration, BI and governance.
Snowflake
APRIL 22, 2025
At the data platform level, we found: 55% of organizations are hampered by time-consuming data management tasks such as labeling. 52% struggle with data quality including issues of error, bias, irrelevance and timeliness. 51% say data preparation is too hard. 50% cite issues with data sensitivity.
ThoughtSpot
APRIL 22, 2025
Our Agentic Analytics Platform helps you prepare data for AI, enhance AIs analytical performance, and provide essential human oversight so you can deliver AI analytics without compromising ease, accuracy, or trust.
Data Engineering Podcast
APRIL 28, 2024
What are the features and focus of Pieces that might encourage someone to use it over the alternatives? What are the features and focus of Pieces that might encourage someone to use it over the alternatives?
ArcGIS
DECEMBER 13, 2023
This is the second in a series of blogs that showcase an end-to-end spatial data science workflow for clustering US precipitation regions.
ArcGIS
DECEMBER 13, 2023
This is the third in a series of blogs that showcase an end-to-end spatial data science workflow for clustering US precipitation regions.
ArcGIS
DECEMBER 13, 2023
This is the fourth in a series of blogs that showcase an end-to-end spatial data science workflow for clustering US precipitation regions.
DataKitchen
FEBRUARY 17, 2025
In The Land Of The Blind, The Data Engineer Who Has Data Quality Testing In Production Is King Data engineers experience burnout at alarming rates , with many considering leaving the industry or their current company within the following year.
Snowflake
OCTOBER 15, 2024
Preparing documents for a RAG system The responses of an LLM in a RAG app are only as good as the data available to it, which is why proper data preparation is fundamental to building a high-performing RAG system. Step 3: Vectorize (embed) and index Once the text has been split or chunked, Cortex Search handles the rest.
Striim
MARCH 21, 2025
Before loading the data to Snowflake with sub-second latency, Striim allows users to perform in-line transformations, including denormalization, filtering, enrichment and masking, using a SQL-based language. In-flight data processing reduces the time needed for data preparation as it delivers the data in a consumable form.
Snowflake
APRIL 16, 2025
Unlike general-purpose LLMs, which may introduce commentary or decline translation requests, Cortex AI Translate is specifically optimized for translation tasks through a rigorous data preparation process and customized model training.
Cloudera
OCTOBER 11, 2021
The platform converges data cataloging, data ingestion, data profiling, data tagging, data discovery, and data exploration into a unified platform, driven by metadata. Modak Nabu automates repetitive tasks in the data preparation process and thus accelerates the data preparation by 4x.
Data Engineering Podcast
JULY 1, 2018
Cheryl Martin, Chief Data Scientist for Alegion, discusses the importance of properly labeled information for machine learning and artificial intelligence projects, the systems that they have built to scale the process of incorporating human intelligence in the data preparation process, and the challenges inherent to such an endeavor.
Snowflake
DECEMBER 5, 2023
This lets them leverage the familiar development interface of a notebook while directing complex data preparation and feature engineering steps to run in Snowflake (rather than having to copy and manage copies of data inside their notebook instance).
ThoughtSpot
MARCH 5, 2024
Govern self-service in ThoughtSpot by using multi-structured and transformed data hosted alongside transactional systems in Snowflake. Using Snowflake dynamic tables with ThoughtSpot allows you to streamline data preparation while also accelerating insight consumption across lines of business.
Edureka
APRIL 16, 2025
Data Project Assistance : Helps streamline tasks in data-driven projects, including data preparation, analysis, and visual output. Contribution Made Easy : Simplifies working with open-source projects by guiding through unfamiliar code and suggesting useful contributions.
AltexSoft
MAY 12, 2022
Particularly, we’ll explain how to obtain audio data, prepare it for analysis, and choose the right ML model to achieve the highest prediction accuracy. But first, let’s go over the basics: What is the audio analysis, and what makes audio data so challenging to deal with. Audio data preparation.
Data Engineering Podcast
JUNE 17, 2021
Can you describe what Unstruk Data is and the story behind it? Can you describe what Unstruk Data is and the story behind it?
Cloudera
MARCH 31, 2021
In this first Google Cloud release, CDP Public Cloud provides built-in Data Hub definitions (see screenshot for more details) for: Data Ingestion (Apache NiFi, Apache Kafka). Data Preparation (Apache Spark and Apache Hive) .
Christophe Blefari
APRIL 8, 2023
Microsoft data integration new capabilities — Few months ago I've entered the Azure world. Today, Microsoft announces new low-code capabilities for Power Query in order to do "data preparation" from multiple sources. Not really without pain.
Christophe Blefari
APRIL 8, 2023
Microsoft data integration new capabilities — Few months ago I've entered the Azure world. Today, Microsoft announces new low-code capabilities for Power Query in order to do "data preparation" from multiple sources. Not really without pain.
Snowflake
DECEMBER 18, 2023
Larger data sets : Train models on up to 100 million rows with higher memory compute using Snowpark-optimized warehouses.
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