Tableau

JULY 28, 2020

Ryan Cairnes Senior Manager, Product Management, Tableau Hannah Kuffner July 28, 2020 - 10:43pm March 20, 2023 Tableau Prep is a citizen data preparation tool that brings analytics to anyone, anywhere. With Prep, users can easily and quickly combine, shape, and clean data for analysis with just a few clicks. billion records!

Data Preparation 52

Data Preparation Tableau Database Clean Data 52

Tableau

JULY 28, 2020

Ryan Cairnes Senior Manager, Product Management, Tableau Hannah Kuffner July 28, 2020 - 10:43pm March 20, 2023 Tableau Prep is a citizen data preparation tool that brings analytics to anyone, anywhere. With Prep, users can easily and quickly combine, shape, and clean data for analysis with just a few clicks. billion records!

Data Preparation 52

Data Preparation Tableau Database Clean Data 52

KDnuggets

NOVEMBER 12, 2019

While Pandas is the library for data processing in Python, it isn't really built for speed. Learn more about the new library, Modin, developed to distribute Pandas' computation to speedup your data prep.

Python 304

Python Data Preparation 304

KDnuggets

DECEMBER 10, 2019

From not sweating missing values, to determining feature importance for any estimator, to support for stacking, and a new plotting API, here are 5 new features of the latest release of Scikit-learn which deserve your attention.

K-nearest Neighbors 299

K-nearest Neighbors Data Preparation Python Machine Learning 299

KDnuggets

NOVEMBER 7, 2019

This post will walkthrough a Python implementation of a vocabulary class for storing processed text data and related metadata in a manner useful for subsequently performing NLP tasks.

Python 292

Python Data Preparation 292

KDnuggets

JULY 26, 2019

This article takes a closer look at the four fantastic things we should keep in mind when approaching every new data science project.

Data Science 299

Data Science Data Preparation 299

KDnuggets

NOVEMBER 7, 2019

In this tutorial, we show how to apply mathematical set operations (union, intersection, and difference) to Pandas DataFrames with the goal of easing the task of comparing the rows of two datasets.

Data Preparation 247

Data Preparation Data Science Python 247

KDnuggets

DECEMBER 13, 2019

We show how to build intuitive and useful pipelines with Pandas DataFrame using a wonderful little library called pdpipe.

Data Preparation 289

Data Preparation Python 289

KDnuggets

NOVEMBER 21, 2019

This blog shows how text data representations can be used to build a classifier to predict a developer’s deep learning framework of choice based on the code that they wrote, via examples of TensorFlow and PyTorch projects.

Deep Learning 237

Deep Learning Deep Learning Data Preparation 237

KDnuggets

DECEMBER 4, 2019

Let’s say your project is humongous and needs data labeling to be done continuously - while you’re on-the-go, sleeping, or eating. I’m sure you’d appreciate User-generated Data Labeling. I’ve got 6 interesting examples to help you understand this, let’s dive right in!

Data Preparation 199

Data Preparation Data Science 199

KDnuggets

OCTOBER 25, 2019

The pandas library offers core functionality when preparing your data using Python. But, many don't go beyond the basics, so learn about these lesser-known advanced methods that will make handling your data easier and cleaner.

Python 219

Python Data Preparation 219

KDnuggets

NOVEMBER 20, 2019

Your spectacularly-performing machine learning model could be subject to the common culprits of class imbalance and missing labels. Learn how to handle these challenges with techniques that remain open areas of new research for addressing real-world machine learning problems.

Machine Learning 182

Machine Learning Machine Learning Data Preparation 182

KDnuggets

SEPTEMBER 27, 2019

Data mapping is a way to organize various bits of data into a manageable and easy-to-understand system.

Machine Learning 229

Machine Learning Machine Learning Data Preparation Clean Data 229

KDnuggets

OCTOBER 8, 2019

To build an effective learning model, it is must to understand the quality issues exist in data & how to detect and deal with it. In general, data quality issues are categories in four major sets.

Data Quality 162

Data Quality Data Preparation 162

KDnuggets

OCTOBER 31, 2019

AI-based models are highly dependent on accurate, clean, well-labeled, and prepared data in order to produce the desired output and cognition. These models are fed with bulky datasets covering an array of probabilities and computations to make its functioning as smart and gifted as human intelligence.

AI 128

AI AI Data Preparation 128

KDnuggets

DECEMBER 16, 2019

The new technique allows the deployment of machine learning models that operate with minimum training data.

Machine Learning 151

Machine Learning Machine Learning Data Preparation 151

Kaggle

JULY 29, 2020

[link] David Mezzetti is the founder of NeuML, a data analytics and machine learning company that develops innovative products backed by machine learning. He previously co-founded and built Data Works into a 50+ person well-respected software services company. Do you have any advice for those just getting started in data science?

ETL 71

ETL Data Scientist Machine Learning Machine Learning 71

KDnuggets

JULY 31, 2019

Learn the essential skills needed to become a Data Science rockstar; Understand CNNs with Python + Tensorflow + Keras tutorial; Discover the best podcasts about AI, Analytics, Data Science; and find out where you can get the best Certificates in the field.

Data Science 115

Data Science Analytics Analytics Data Scientist 115

AWS Machine Learning Blog

SEPTEMBER 14, 2023

“Data locked away in text, audio, social media, and other unstructured sources can be a competitive advantage for firms that figure out how to use it“ Only 18% of organizations in a 2019 survey by Deloitte reported being able to take advantage of unstructured data. The majority of data, between 80% and 90%, is unstructured data.

AWS 96

AWS Machine Learning Machine Learning Data Scientist 96

IBM Journey to AI blog

FEBRUARY 22, 2024

Recognizing this, the Department of Defense (DoD) launched the Joint Artificial Intelligence Center (JAIC) in 2019, the predecessor to the Chief Digital and Artificial Intelligence Office (CDAO), to develop AI solutions that build competitive military advantage, conditions for human-centric AI adoption, and the agility of DoD operations.

AI 102

AI AI Artificial Intelligence Artificial Intelligence 102

The MLOps Blog

APRIL 5, 2023

The platform can assign specific roles to team members involved in the packaging process and grant them access to relevant aspects such as data preparation, training, deployment, and monitoring. To enhance collaboration and address model packaging challenges, neptune.ai offers user roles management and a central metadata store.

ML 69

ML ML Machine Learning Machine Learning 69

AWS Machine Learning Blog

MARCH 28, 2024

Data preparation In this post, we use several years of Amazon’s Letters to Shareholders as a text corpus to perform QnA on. For more detailed steps to prepare the data, refer to the GitHub repo. For step-by-step instructions, refer to the GitHub repo.

AWS 113

AWS Machine Learning Machine Learning AI 113

DataRobot

JUNE 2, 2021

AutoML has grown into a more widely applicable means of automating a wide array of machine learning tasks, including data preparation, model selection, feature selection, and engineering, as well as hyperparameter tuning. In 2019, it acquired ParallelM, the leader in machine learning operations.

Machine Learning 52

Machine Learning Machine Learning Data Science ML 52

Alation

FEBRUARY 13, 2020

In his research report, From out of nowhere: the unstoppable rise of the data catalog 5, Analyst Matt Aslett makes a strong case for data catalog adoption calling it the “most important data management breakthrough to have emerged in the last decade.”. We’re looking forward to 2019.

Data Governance 52

Data Governance Machine Learning Machine Learning Analytics 52

AWS Machine Learning Blog

NOVEMBER 30, 2023

We’ve also been doubling down on the software tool chain for our ML silicon, specifically in advancing AWS Neuron, the software development kit (SDK) that helps customers get the maximum performance from Trainium and Inferentia.

AWS 126

AWS AI AI ML 126