KDnuggets

AUGUST 16, 2019

Use of Machine Learning (ML) in Medicine is becoming more and more important. One application example can be Cancer Detection and Analysis.

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ML @ CMU

NOVEMBER 7, 2024

We address the challenges of landmine risk estimation by enhancing existing datasets with rich relevant features, constructing a novel, robust, and interpretable ML model that outperforms standard and new baselines, and identifying cohesive hazard clusters under geographic and budgetary constraints.

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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.

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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.

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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. There is a livestream on Facebook, Sunday March 17 on the Math for Data Science Facebook page.

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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.

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KDnuggets

OCTOBER 9, 2019

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

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KDnuggets

NOVEMBER 20, 2019

Read tips and tricks that helped one Data Scientist to get better at Machine Learning; Learn how to make ML project cost-effective; Consider submitting a blog to KDnuggets - you can be profiled here; and study how to manipulate Python lists.

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KDnuggets

AUGUST 1, 2019

Learn how Interpretable and Explainable ML technologies can help while developing your model. A machine learning model that predicts some outcome provides value. One that explains why it made the prediction creates even more value for your stakeholders.

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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? Read their answers, and also check 10 Free Top Notch Machine Learning Courses; 4 Hottest Trends in Data Science; The Essential Toolbox for Data Cleaning, and more.

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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.

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Google Research AI blog

APRIL 27, 2023

That is where we can use the ability of ML models to pick up on subtle intricate patterns in large amounts of data. We’ve previously demonstrated the ability to use ML models to quickly phenotype at scale for retinal diseases. We trained ML models to predict whether an individual has COPD using the full spirograms as inputs.

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Dataconomy

MARCH 5, 2025

Artificial intelligence and machine learning AI and ML technologies play a critical role in enhancing automation capabilities. Origins of the term The term hyperautomation was coined by Gartner in 2019, reflecting the need for a comprehensive approach to automation that surpassed the capabilities of RPA.

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KDnuggets

NOVEMBER 14, 2019

Let’s take a look at traditional testing methodologies and how we can apply these to our data/ML pipelines.

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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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Machine Learning (Theory)

JULY 19, 2021

In 2019, she received a Nobel Prize in Economic Sciences “for their experimental approach to alleviating global poverty”. She researches strategies to study complex biophysical processes on long timescales, and she is an expert in the simulation of biomolecules using large-scale ML.

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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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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).

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KDnuggets

NOVEMBER 6, 2019

My short answer is this: Yes, another AI Winter will be here if you don’t deploy more ML solutions. You and your Data Science teams are the last line of defense against the AI Winter. You need to solve five key challenges to keep the momentum up.

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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. ML algorithms enable systems to identify patterns, make predictions, and take autonomous actions.

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Dataconomy

APRIL 3, 2025

Starting 2019, Harshit led the software development of a new social media marketing program across major social networks, driving the shift to privacy-preserving, interest-based ad targeting in response to evolving data privacy regulations. Bridging technical innovation with marketing goals has defined Harshits career.

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The MLOps Blog

APRIL 5, 2023

In this comprehensive guide, we’ll explore the key concepts, challenges, and best practices for ML model packaging, including the different types of packaging formats, techniques, and frameworks. Best practices for ml model packaging Here is how you can package a model efficiently.

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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?”

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Smart Data Collective

MARCH 26, 2021

Machine learning (ML) is an innovative tool that advances technology in every industry around the world. This form of learning is everywhere, in places you may not even know, which is part of what makes ML so integral to a range of professions and everyday tasks. Using ML can potentially reduce this number and prevent injuries, too.

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KDnuggets

SEPTEMBER 11, 2019

How one person overcame rejections applying to Data Scientist positions by getting actual data on who is getting hired; Advice from Andrew Ng on building ML career and reading research papers; 10 Great Python resources for Data Scientists; Python Libraries for Interpretable ML,

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ML @ CMU

SEPTEMBER 13, 2024

2019 , 2023; Nasr et al., In 28th USENIX security symposium (USENIX security 19) , pages 267–284, 2019. Our approach provides a simple and practical perspective on what memorization can mean, providing a useful tool for functional and legal analysis of LLMs. Carlini et al., 2023; Zhang et al., arXiv preprint arXiv:2112.03570 , 2021.

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Dataconomy

MARCH 31, 2025

The tool helps teams monitor, debug, and improve both Generative AI and traditional ML models, all without third-party dependencies or data privacy risks. Works across all models: Supports GPT, Claude, Gemini, open weights models, and traditional ML. Real-time AI evaluation aims to counter growing risks as AI adoption expands.

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Towards AI

NOVEMBER 16, 2024

Song and Ermon (2019) [13] proposed score-based generative modelling methods where samples are produced via Langevin dynamics using gradients of the data distribution estimated with Stein score-matching. As T → ∞, ϵ → 0, and x_T converges to the true probability density p(x).

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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. Amazon Web Services.

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AWS Machine Learning Blog

SEPTEMBER 17, 2024

AWS DeepComposer was first introduced during AWS re:Invent 2019 as a fun way for developers to compose music by using generative AI. AWS DeepComposer was the world’s first machine learning (ML)-enabled keyboard for developers to get hands-on—literally—with a musical keyboard and the latest ML techniques to compose their own music.

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Data Science 101

NOVEMBER 22, 2019

AWS Storage Day On November 20, 2019, Amazon held AWS Storage Day. Much of this is in anticipation of AWS re:Invent, coming in early December 2019. PyTorch on Azure with streamlined ML lifecycle Microsoft Azure supports the latest version of PyTorch. Many announcements came out regarding storage of all types at AWS.

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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. Get started on SageMaker Studio here.

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KDnuggets

OCTOBER 16, 2019

Also: Kannada-MNIST: A new handwritten digits dataset in ML town; Math for Programmers; The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization; The Last SQL Guide for Data Analysis You’ll Ever Need.

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Smart Data Collective

JANUARY 27, 2022

In an interview with Hyperight, the tech leader at Uber, Ritesh Agrawal, explained how ML helps improve the overall riding experience. Well, it uses NLP and ML to accurately anticipate responses to regular riders’ questions. AI-driven plagiarism detectors are useful for people vetting websites before buying them.

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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.

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KDnuggets

SEPTEMBER 9, 2019

Andrew Ng; Object-oriented programming for data scientists: Build your ML estimator. 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.

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The MLOps Blog

MARCH 20, 2023

Long-term ML project involves developing and sustaining applications or systems that leverage machine learning models, algorithms, and techniques. An example of a long-term ML project will be a bank fraud detection system powered by ML models and algorithms for pattern recognition. 2 Ensuring and maintaining high-quality data.

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