Cloudera

NOVEMBER 13, 2024

Fine Tuning Studio enables users to track the location of all datasets, models, and model adapters for training and evaluation. We can import this dataset on the Import Datasets page. The goal is to train an adapter for this base model that gives it better predictive capabilities for our specific dataset. Model Selection.

Datasets 87

Datasets Machine Learning Coding AWS 87

ProjectPro

JUNE 6, 2025

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. Interact with the data scientists team and assist them in providing suitable datasets for analysis. That needs to be done because raw data is painful to read and work with.

Data Engineering 94

Data Engineering Data Engineer Engineering Amazon Web Services 94

KDnuggets

JUNE 13, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter AI Agents in Analytics Workflows: Too Early or Already Behind? Here, SQL stepped in.

Data Science 82

Data Science Datasets Python SQL 82

Engineering at Meta

JANUARY 22, 2025

In this blog, we will delve into an early stage in PAI implementation: data lineage. This took Meta multiple years to complete across our millions of disparate data assets, and well cover each of these more deeply in future blog posts: Inventorying involves collecting various code and data assets (e.g.,

Data Warehouse 116

Data Warehouse SQL Programming Language Data 116

KDnuggets

JUNE 12, 2025

Why it matters: Every dataset tells a story, but statistics helps you figure out which parts of that story are real. Calculate summary statistics and run relevant statistical tests on real-world datasets. You can start with clean data from sources like seaborns built-in datasets, then graduate to messier real-world data.

Data Science 86

Data Science Machine Learning Algorithm Datasets 86

ProjectPro

JUNE 6, 2025

And, with largers datasets come better solutions. We will cover all such details in this blog. Use Athena in AWS to perform big data analysis on massively voluminous datasets without worrying about the underlying infrastructure or the cost associated with that infrastructure. Best suited for large unstructured datasets.

AWS 67

AWS SQL Big Data Raw Data 67

ProjectPro

JUNE 6, 2025

This blog introduces the concept of time series forecasting models in the most detailed form. The blog's last two parts cover various use cases of these models and projects related to time series analysis and forecasting problems. This blog will explore these use cases with practical time series forecasting model examples.

Deep Learning 66

Deep Learning Python Machine Learning Datasets 66

KDnuggets

JUNE 11, 2025

Part 1: 10 Hard Skills You Need Our Top 5 Free Course Recommendations --> Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

Data Science 99

Data Science Machine Learning Python SQL 99

Christophe Blefari

JANUARY 11, 2025

Over the past four weeks, I took a break from blogging and LinkedIn to focus on building nao. A large international scientist collaboration released The Well : 2 massive datasets from physics simulation (15TB) to astronomical scientific data (100TB). They aim produce the same innovation as ImageNet produced for image recognition.

Data 130

Data Data Warehouse Programming Language BI 130

ProjectPro

JUNE 6, 2025

Read this blog if you are interested in exploring business intelligence projects examples that highlight different strategies for increasing business growth. One can use their dataset to understand how they work out the whole process of the supply chain of various products and their approach towards inventory management.

Business Intelligence 69

Business Intelligence Coding Project BI 69

ProjectPro

JUNE 6, 2025

In this blog, you will find a list of interesting data mining projects that beginners and professionals can use. FAQs on Data Mining Projects 15 Top Data Mining Projects Ideas Data Mining involves understanding the given dataset thoroughly and concluding insightful inferences from it.

Data Mining 52

Data Mining Coding Project Datasets 52

ProjectPro

JUNE 6, 2025

This blog will explore 15 exciting AWS DevOps project ideas that can help you gain hands-on experience with these powerful tools and services. You can use publicly available datasets like the Ames Housing or California Housing Prices datasets. Table of Contents Why Should You Practice AWS DevOps Projects?

AWS 61

AWS Project Medical Deep Learning 61

KDnuggets

JUNE 12, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Building a Custom PDF Parser with PyPDF and LangChain PDFs look simple — until you try to parse (..)

Building 107

Building Metadata Raw Data Data Science 107

ProjectPro

JUNE 6, 2025

This blog will explore the fundamentals of NLTK, its key features, and how to use it to perform various NLP tasks such as tokenization, stemming, and POS Tagging. As the name suggests, the NLTK WordNet Lemmatizer has learned its lemmatizing abilities from the WordNet dataset. We will use the movie reviews dataset from NLTK.

Building 66

Building Datasets Python Algorithm 66

KDnuggets

JUNE 11, 2025

Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies. Abid holds a Masters degree in technology management and a bachelors degree in telecommunication engineering.

Telecommunication 78

Telecommunication Machine Learning Data Science Python 78

ProjectPro

JUNE 6, 2025

This blog covers all the steps to master data preparation with machine learning datasets. In building machine learning projects , the basics involve preparing datasets. In this blog, you will learn how to prepare data for machine learning projects. Imagine yourself as someone who is learning Jazz dance form.

Data Preparation 45

Data Preparation Machine Learning Project IT 45

KDnuggets

JUNE 9, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 7 Cool Python Projects to Automate the Boring Stuff Get more done in less time with these 7 beginner-friendly (..)

Python 106

Python Project Media Data Science 106

Pinterest Engineering

APRIL 4, 2025

In this blog, we will go through the technical design and share some offline and online results for our LLM-based search relevance pipeline. Pin Text Representations Pins on Pinterest are rich multimedia entities that feature images, videos, and other contents, often linked to external webpages or blogs.

Machine Learning 65

Machine Learning Metadata Architecture Datasets 65

ProjectPro

JUNE 6, 2025

Bid goodbye to worries related to such problems with this blog, as it covers an appropriate and effective solution to the problem of limited data available for training machine learning and deep learning models. Ultimately, the most important countermeasure against overfitting is adding more and better quality data to the training dataset.

Deep Learning 49

Deep Learning Machine Learning Datasets Data 49

ProjectPro

JUNE 6, 2025

With the global data volume projected to surge from 120 zettabytes in 2023 to 181 zettabytes by 2025, PySpark's popularity is soaring as it is an essential tool for efficient large scale data processing and analyzing vast datasets. Resilient Distributed Datasets (RDDs) are the fundamental data structure in Apache Spark.

Hadoop 68

Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

In this blog, we'll explore some exciting machine learning case studies that showcase the potential of this powerful emerging technology. This blog will explore in depth how machine learning applications are used for solving real-world problems. The study is based on the dataset of passengers aboard the Titanic when it sank in 1912.

Machine Learning 75

Machine Learning Amazon Web Services Algorithm Healthcare 75

Pinterest Engineering

NOVEMBER 18, 2024

In this blog post, we’ll explore what CDC is, why it’s important, and our journey of implementing Generic CDC solutions for all online databases at Pinterest. Change Data Capture (CDC) is a crucial technology that enables organizations to efficiently track and capture changes in their databases. What is Change Data Capture? or its affiliates.

Kafka 59

Kafka MySQL Database Software Engineering 59

KDnuggets

JUNE 6, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Error Handling Patterns in Python (Beyond Try-Except) Stop letting errors crash your app.

Python 88

Python Data Science Machine Learning Database 88

ProjectPro

JUNE 6, 2025

And, out of these professions, we will focus on the data engineering job role in this blog and list out a comprehensive list of projects to help you prepare for the same. Project Idea : Leverage Spotify's public datasets or simulated user activity data to identify listening patterns.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

The decrease in the accuracy of a deep learning model after a few epochs implies that the model is learning from the characteristics of the dataset and not considering the features. Epoch refers to the iteration where the complete dataset is passed forward and backward through the neural network only once.

Deep Learning 65

Deep Learning Datasets Machine Learning Algorithm 65

DataKitchen

NOVEMBER 27, 2024

This blog delves into the six distinct types of data quality dashboards, examining how each fulfills a specific role in ensuring data excellence. Similarly, data teams might struggle to determine actionable steps if the metrics do not highlight specific datasets, systems, or processes contributing to poor data quality.

Banking 86

Banking Data Pharmaceutical Consulting 86

Monte Carlo

NOVEMBER 26, 2024

Synthetic data works by leveraging models to create artificial datasets that reflect what someone might find organically (in some alternate reality where more data actually exists), and then using that new data to train their own models. But is synthetic data a long-term solution? Probably not.

Data Engineer 105

Data Engineer Data Engineering Engineering Unstructured Data 105

Netflix Tech

FEBRUARY 14, 2025

In this multi-part blog series, we take you behind the scenes of our system that processes billions of impressions daily. Architecture Overview The first pivotal step in managing impressions begins with the creation of a Source-of-Truth (SOT) dataset.

Kafka 67

Kafka Datasets Metadata Utilities 67

ProjectPro

JUNE 6, 2025

If you are keen on learning how to apply DevOps for Machine Learning on Microsoft Azure, then this blog is for you. This Azure MLOps blog will dive deep into Azure MLOps capabilities and give you an in-depth insight into building a fully automated training and deployment pipeline on Azure.

Machine Learning 40

Machine Learning Datasets Data Science Python 40

ProjectPro

JUNE 6, 2025

These platforms facilitate collaboration by allowing multiple annotators to work on the same dataset. Key features include: Collaborative Annotation : Multiple annotators can label the same dataset simultaneously. GPT Prompt Generation : Creates numerous examples to balance datasets.

Project 52

Project Datasets Machine Learning Retail 52

ThoughtSpot

APRIL 22, 2025

Level 2: Understanding your dataset To find connected insights in your business data, you need to first understand what data is contained in the dataset. Spotter quickly translates your datasets into business-friendly terminology so business users can confidently explore their data through natural language conversations.

BI 59

BI Business Intelligence Datasets Raw Data 59

ProjectPro

JUNE 6, 2025

ii) Targetted marketing through Customer Segmentation With user data for enhancing personalized song recommendations, Spotify uses this massive dataset for targeted ad campaigns and personalized service recommendations for its users. We have listed another music recommendations dataset for you to use for your projects: Dataset1.

Data Science 67

Data Science Project Food Pharmaceutical 67

DataKitchen

NOVEMBER 5, 2024

The Medallion architecture is a framework that allows data engineers to build organized and analysis-ready datasets in a lakehouse environment. For instance, suppose a new dataset from an IoT device is meant to be ingested daily into the Bronze layer. How do you ensure data quality in every layer?

Architecture 78

Architecture Raw Data Pipeline-centric Data Ingestion 78

ProjectPro

JUNE 6, 2025

In this blog, you will find a detailed description of all you need to learn about probability and statistics for machine learning. The first one is to understand the dataset, and this is where you require knowledge of statistics. It will be of great help in deciding which algorithm will work for a given problem and dataset.

Machine Learning 74

Machine Learning Insurance Algorithm Datasets 74

ProjectPro

JUNE 6, 2025

Datasets like Google Local, Amazon product reviews, MovieLens, Goodreads, NES, Librarything are preferable for creating recommendation engines using machine learning models. Dummy datasets like univariate time-series datasets, shampoo sales datasets , etc., for developing these kinds of projects. Let the FOMO kick in!

Machine Learning 69

Machine Learning Project Datasets Media 69

ProjectPro

JUNE 6, 2025

This blog presents the topmost useful machine learning applications in finance to help you understand how financial markets thrive by adopting AI and ML solutions. Also, remove all missing and NaN values from the dataset, as incomplete data is unnecessary. To start this machine learning project , download the Credit Risk Dataset.

Finance 75

Finance Machine Learning Project Banking 75

ProjectPro

JUNE 6, 2025

Traditional databases may need help to provide the necessary performance when dealing with large datasets and complex queries. Data warehousing tools are designed to handle such scenarios efficiently, enabling faster query performance and analysis, even on massive datasets. Familiar SQL language for querying.

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58