Smart Data Collective

MARCH 26, 2021

Machine learning (ML) is an innovative tool that advances technology in every industry around the world. From the most subtle advances, like Netflix recommendations, to life-saving medical diagnostics or even writing content , machine learning facilitates it all. Machine learning mimics the human brain.

Machine Learning 143

Machine Learning Machine Learning ML ML 143

KDnuggets

DECEMBER 11, 2019

We asked top experts: What were the main developments in AI, Data Science, Deep Learning, and Machine Learning Research in 2019, and what key trends do you expect in 2020?

Machine Learning 124

Machine Learning Machine Learning Deep Learning Deep Learning 124

AWS Machine Learning Blog

NOVEMBER 26, 2024

Challenges in deploying advanced ML models in healthcare Rad AI, being an AI-first company, integrates machine learning (ML) models across various functions—from product development to customer success, from novel research to internal applications. Rad AI’s ML organization tackles this challenge on two fronts.

ML 115

ML ML AI AI 115

KDnuggets

DECEMBER 16, 2019

It is an annual tradition for Xavier Amatriain to write a year-end retrospective of advances in AI/ML, and this year is no different. Gain an understanding of the important developments of the past year, as well as insights into what expect in 2020.

Artificial Intelligence 136

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 136

AWS Machine Learning Blog

MAY 10, 2024

In today’s technological landscape, artificial intelligence (AI) and machine learning (ML) are becoming increasingly accessible, enabling builders of all skill levels to harness their power. And that’s where AWS DeepRacer comes into play—a fun and exciting way to learn ML fundamentals.

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AWS Machine Learning Machine Learning ML 126

ML @ CMU

NOVEMBER 7, 2024

Since landmines are not used randomly but under war logic , Machine Learning can potentially help with these surveys by analyzing historical events and their correlation to relevant features. Finally, the results are delivered through a web application developed with key mine action stakeholders.

Clustering 154

Clustering Cross Validation Machine Learning Machine Learning 154

KDnuggets

SEPTEMBER 25, 2019

Python Libraries for Interpretable Machine Learning; Scikit-Learn: A silver bullet for basic machine learning; I wasn't getting hired as a Data Scientist. So I sought data on who is; Which Data Science Skills are core and which are hot/emerging ones?

Machine Learning 139

Machine Learning Machine Learning Python Data Scientist 139

Data Science 101

SEPTEMBER 24, 2019

Is the list missing a project released in 2019? If so, please leave a comment.

Data Science 104

Data Science Deep Learning Deep Learning Machine Learning 104

KDnuggets

SEPTEMBER 9, 2019

I am really interested in creating a tight, clean pipeline for disaster relief applications, where we can use something like crowd sourced building polygons from OSM to train a supervised object detector to discover buildings in an unmapped location.

ML 277

ML ML Python Machine Learning 277

ODSC - Open Data Science

SEPTEMBER 21, 2023

The majority of us who work in machine learning, analytics, and related disciplines do so for organizations with a variety of different structures and motives. The following is an extract from Andrew McMahon’s book , Machine Learning Engineering with Python, Second Edition.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

Dataconomy

MARCH 5, 2025

It’s an exciting convergence that takes automation beyond simple task completion, integrating advanced tools like AI and machine learning to forge robust solutions for todays complex business challenges. Artificial intelligence and machine learning AI and ML technologies play a critical role in enhancing automation capabilities.

Machine Learning 91

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 91

Data Science 101

MARCH 16, 2019

Recently updated, is the March 2019 Machine Learning Study Path. It contains links and resources to learn Tensorflow and Scikit-Learn. If you are interested in details on the study path and how to best use the resources.

ML 105

ML ML Machine Learning Machine Learning 105

Towards AI

AUGUST 7, 2024

From Solo Notebooks to Collaborative Powerhouse: VS Code Extensions for Data Science and ML Teams Photo by Parabol | The Agile Meeting Toolbox on Unsplash In this article, we will explore the essential VS Code extensions that enhance productivity and collaboration for data scientists and machine learning (ML) engineers.

Data Science 116

Data Science ML ML Data Scientist 116

KDnuggets

SEPTEMBER 20, 2019

This white paper provides the first-ever standard for managing risk in AI and ML, focusing on both practical processes and technical best practices “beyond explainability” alone. Download now.

Machine Learning 145

Machine Learning Machine Learning ML ML 145

KDnuggets

JULY 30, 2019

This technical webinar on Aug 14 discusses traditional and modern approaches for interpreting black box models. Additionally, we will review cutting edge research coming out of UCSF, CMU, and industry.

Data Science 239

Data Science ML ML Machine Learning 239

AWS Machine Learning Blog

FEBRUARY 11, 2025

GraphStorm is a low-code enterprise graph machine learning (ML) framework that provides ML practitioners a simple way of building, training, and deploying graph ML solutions on industry-scale graph data. We encourage ML practitioners working with large graph data to try GraphStorm.

AWS 113

AWS Python ML ML 113

Machine Learning (Theory)

JULY 19, 2021

A general theme of the invited talks this year is “ machine learning for science.” The Program Chairs (Marina Meila and Tong Zhang) have invited world-renowned scientists from various disciplines to discuss their problems and the corresponding machine learning challenges.

ML 100

ML ML Machine Learning Machine Learning 100

Dataconomy

JULY 4, 2023

Hyper automation, which uses cutting-edge technologies like AI and ML, can help you automate even the most complex tasks. It’s also about using AI and ML to gain insights into your data and make better decisions. Hyper automation is the game-changer you’ve been looking for.

Natural Language Processing 192

Natural Language Processing Big Data Big Data Machine Learning 192

KDnuggets

SEPTEMBER 9, 2019

Also: Python Libraries for Interpretable Machine Learning; TensorFlow vs PyTorch vs Keras for NLP; Advice on building a machine learning career and reading research papers by Prof. Andrew Ng; Object-oriented programming for data scientists: Build your ML estimator.

Data Scientist 150

Data Scientist Machine Learning Machine Learning ML 150

Dataconomy

APRIL 3, 2025

In his thesis, A Context-Based Cross-Domain Collaborative Filtering Approach in Folksonomies , Harshit explored the intricacies of machine learning and recommendation systems, laying a solid foundation for his contributions to scalable systems and marketing technology. Graduating with an Integrated Dual Degree (B.Tech. and M.Tech.)

Big Data 91

Big Data Big Data Machine Learning Machine Learning 91

AWS Machine Learning Blog

SEPTEMBER 19, 2023

Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like log files, sensor readings, or transaction records need to be transformed into meaningful features that are optimized for model training. SageMaker Studio set up.

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ML ML AWS SQL 129

Google Research AI blog

APRIL 7, 2023

As part of Google's Crisis Response and our efforts to address the climate crisis , we are using machine learning (ML) models for Flood Forecasting to alert people in areas that are impacted before disaster strikes. Frederik Kratzert (Research Scientist at Google) provided an overview of the Caravan project (below).

ML 86

ML ML Machine Learning Machine Learning 86

Data Science 101

APRIL 29, 2019

Here is the latest data science news for the week of April 29, 2019. From Data Science 101. The Go Programming Language for Data Science Quick Video Tutorial for Find Updates in Azure Two-Minute Papers, One Pixel attack on NN. General Data Science.

Data Science 81

Data Science Deep Learning Deep Learning Azure 81

KDnuggets

OCTOBER 2, 2019

Also: Top KDnuggets tweets, Sep 18-24: Python Libraries for Interpretable Machine Learning; Scikit-Learn: A silver bullet for basic ML; Automatic Version Control for Data Scientists; My journey path from a Software Engineer to BI Specialist to a Data Scientist.

Python 154

Python Data Scientist Machine Learning Machine Learning 154

KDnuggets

OCTOBER 9, 2019

Why I love boring ML problems and how I think about them.

Data Science 278

Data Science ML ML Machine Learning 278

AWS Machine Learning Blog

APRIL 7, 2025

This approach allows for greater flexibility and integration with existing AI and machine learning (AI/ML) workflows and pipelines. By providing multiple access points, SageMaker JumpStart helps you seamlessly incorporate pre-trained models into your AI/ML development efforts, regardless of your preferred interface or workflow.

AWS 120

AWS Machine Learning Machine Learning ML 120

DagsHub

DECEMBER 11, 2023

The following points illustrates some of the main reasons why data versioning is crucial to the success of any data science and machine learning project: Storage space One of the reasons of versioning data is to be able to keep track of multiple versions of the same data which obviously need to be stored as well.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Data Science 98

Flipboard

APRIL 23, 2025

About the authors Praveen Chamarthi brings exceptional expertise to his role as a Senior AI/ML Specialist at Amazon Web Services, with over two decades in the industry. When hes not advancing ML workloads, Praveen can be found immersed in books or enjoying science fiction films. Connect with him on LinkedIn to follow his insights.

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AWS ML ML AI 151

AWS Machine Learning Blog

APRIL 9, 2024

The correct response for this query is “Amazon’s annual revenue increased from $245B in 2019 to $434B in 2022,” based on the documents in the knowledge base. The generated response is “Amazon’s annual revenue increase from $245B in 2019 to $434B in 2022.” We ask “What was the Amazon’s revenue in 2019 and 2021?”

Machine Learning 138

Machine Learning Machine Learning AWS ML 138

KDnuggets

SEPTEMBER 25, 2019

Learn about unexpected risk of AI applied to Big Data; Study 5 Sampling Algorithms every Data Scientist needs to know; Read how one data scientist copes with his boring days of deploying machine learning; 5 beginner-friendly steps to learn ML with Python; and more.

Data Scientist 139

Data Scientist Big Data Big Data Algorithm 139

Dataconomy

MAY 28, 2025

The numbers are sobering: Overall new grad hiring: has dropped a staggering 50% compared to pre-pandemic levels (2019). Big tech’s impact: new graduates now constitute just 7% of hires at these giants, a figure down 25% from 2023 and over 50% from 2019.

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence AI AI 91

ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there! Due to the tsunami of data available to organizations today, artificial intelligence (AI) and machine learning (ML) are increasingly important to businesses seeking competitive advantage through digital transformation.

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ML ML Data Silos Data Quality 98

AWS Machine Learning Blog

MAY 10, 2023

Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science. Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter.

ML 106

ML ML AWS AI 106

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. About the Authors Mair Hasco is an AI/ML Specialist for Amazon SageMaker Studio.

ML 127

ML ML Machine Learning Machine Learning 127

Data Science 101

NOVEMBER 22, 2019

Google Introduces Explainable AI Many industries require a level of interpretability for their machine learning models. Google is beginning to make single page “cards” for common machine learning tasks. Each card contains a description, pros, cons, limations and examples for a specific machine learning task.

Cloud Data 99

Cloud Data Data Science Azure AWS 99

The MLOps Blog

APRIL 5, 2023

Have you ever spent weeks or months building a machine learning model, only to later find out that deploying it into a production environment is complicated and time-consuming? Machine learning model packaging is crucial to the machine learning development lifecycle.

ML 69

ML ML Machine Learning Machine Learning 69

Data Science 101

NOVEMBER 11, 2019

SQL Server 2019 SQL Server 2019 went Generally Available. Data Science Announcements from Microsoft Ignite Many other services were announced such as: Azure Quantum, Project Silica, R support in Azure ML, and Visual Studio Online. It can be used to do distributed Machine Learning on AWS. Amazon Web Services.

Cloud Data 95

Cloud Data Data Science Azure Clustering 95