AWS Machine Learning Blog

NOVEMBER 1, 2024

We discuss the important components of fine-tuning, including use case definition, data preparation, model customization, and performance evaluation. This post dives deep into key aspects such as hyperparameter optimization, data cleaning techniques, and the effectiveness of fine-tuning compared to base models.

Data Preparation 94

Data Preparation Machine Learning Machine Learning AI 94

phData

MARCH 13, 2024

Alteryx is a data analytics platform that stands out for its ability to simplify complex data processes. It integrates data preparation, blending, and analysis, making it a go-to solution for analysts and data professionals. Becoming an Alteryx Ace can mean a major step in your career.

Analytics 52

Analytics Analytics Data Preparation 52

KDnuggets

DECEMBER 5, 2019

Increase your confidence to perform data cleaning with a broader perspective of what datasets typically look like, and follow this toolbox of code snipets to make your data cleaning process faster and more efficient.

Data Preparation 294

Data Preparation Clean Data 294

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 297

Python Data Preparation 297

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 291

K-nearest Neighbors Data Preparation Python Machine Learning 291

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 278

Python Data Preparation 278

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 289

Data Science Data Preparation 289

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 236

Data Preparation Python Data Science 236

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 228

Deep Learning Deep Learning Data Preparation 228

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 277

Data Preparation Python 277

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 120

AWS Machine Learning Machine Learning Data Scientist 120

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 216

Python Data Preparation 216

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 191

Data Preparation Data Science 191

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 199

Machine Learning Machine Learning Data Preparation 199

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 223

Machine Learning Machine Learning Data Preparation Clean Data 223

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 184

Data Quality Data Preparation 184

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 138

AI AI Data Preparation 138

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 113

Data Science Analytics Analytics Data Scientist 113

KDnuggets

DECEMBER 16, 2019

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

Machine Learning 139

Machine Learning Machine Learning Data Preparation 139

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 132

AWS Machine Learning Machine Learning AI 132

AWS Machine Learning Blog

SEPTEMBER 11, 2024

The Inferentia chip became generally available (GA) in December 2019, followed by Trainium GA in October 2022, and Inferentia2 GA in April 2023. Historical data is normally (but not always) independent inter-day, meaning that days can be parsed independently. In November 2023, AWS announced the next generation Trainium2 chip.

AWS 98

AWS ML ML Clustering 98

AWS Machine Learning Blog

NOVEMBER 11, 2024

SageMaker Studio is an IDE that offers a web-based visual interface for performing the ML development steps, from data preparation to model building, training, and deployment. In this section, we cover how to discover these models in SageMaker Studio. A roof was operational over No.

AI 111

AI AI ML ML 111

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 124

AI AI Artificial Intelligence Artificial Intelligence 124

AWS Machine Learning Blog

JULY 29, 2024

Launched in August 2019, Forecast predates Amazon SageMaker Canvas , a popular low-code no-code AWS tool for building, customizing, and deploying ML models, including time series forecasting models.

ML 107

ML ML Algorithm AWS 107

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 137

AWS AI AI ML 137