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 307

Data Preparation Python 307

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 307

K-nearest Neighbors Data Preparation Python Machine Learning 307

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 300

Data Preparation Python Data Science 300

AWS Machine Learning Blog

NOVEMBER 27, 2023

While this data holds valuable insights, its unstructured nature makes it difficult for AI algorithms to interpret and learn from it. According to a 2019 survey by Deloitte , only 18% of businesses reported being able to take advantage of unstructured data. This will land on a data flow page. Choose your domain.

Data Preparation 109

Data Preparation AI AI Database 109

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 290

Deep Learning Deep Learning Data Preparation 290

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 283

Data Preparation Data Science 283

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 278

Machine Learning Machine Learning Data Preparation Clean Data 278

AWS Machine Learning Blog

DECEMBER 1, 2023

Launched in 2019, Amazon SageMaker Studio provides one place for all end-to-end machine learning (ML) workflows, from data preparation, building and experimentation, training, hosting, and monitoring.

ML 130

ML ML Machine Learning Machine Learning 130

DataRobot

MARCH 2, 2021

In 2019, we launched our AI for Good program to offer the same cutting-edge tools to nonprofits to help them solve the world’s toughest problems. We can help with data preparation and AI development, deployment, and monitoring. We are wrapping up the first round of our program and are gearing up to do it again!

AI 98

AI AI Data Scientist Data Preparation 98

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 254

Python Data Preparation 254

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 228

Machine Learning Machine Learning Data Preparation 228

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 224

Data Quality Data Preparation 224

KDnuggets

DECEMBER 16, 2019

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

Machine Learning 203

Machine Learning Machine Learning Data Preparation 203

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 184

AI AI Data Preparation 184

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 101

Data Preparation Machine Learning Machine Learning ML 101

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 137

Data Science Analytics Analytics Data Scientist 137

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 129

AWS Machine Learning Machine Learning Data Scientist 129

ODSC - Open Data Science

AUGUST 25, 2023

Surveys by firms such as Boston Consulting Group and MIT found that 7 out of 10 AI projects failed to realize the impact that they were expected to have and AI implementation plans dropped from 20% in 2019 to 4% in 2020.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Algorithm 52

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

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

AWS Machine Learning Blog

DECEMBER 18, 2024

Fastweb , one of Italys leading telecommunications operators, recognized the immense potential of AI technologies early on and began investing in this area in 2019. With a vision to build a large language model (LLM) trained on Italian data, Fastweb embarked on a journey to make this powerful AI capability available to third parties.

Clustering 74

Clustering AWS AI AI 74

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 138

AWS Machine Learning Machine Learning AI 138

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

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 113

AWS ML ML Clustering 113

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 116

AI AI Artificial Intelligence Artificial Intelligence 116

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 122

ML ML Algorithm AWS 122

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 144

AWS AI AI ML 144

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 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 123

AI AI ML ML 123