KDnuggets

OCTOBER 8, 2024

Learn how Docker can keep your ML models running smoothly, every time. Tired of fixing the same deployment issues?

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Analytics Vidhya

APRIL 5, 2024

This article is […] The post Top 40 Python Libraries for AI, ML and Data Science appeared first on Analytics Vidhya. A massive community with libraries for machine learning, sleek app development, data analysis, cybersecurity, and more. This flexible language has you covered for all things AI and beyond.

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Flipboard

NOVEMBER 22, 2024

This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. The data mesh architecture aims to increase the return on investments in data teams, processes, and technology, ultimately driving business value through innovative analytics and ML projects across the enterprise.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Visit the session catalog to learn about all our generative AI and ML sessions.

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Dataconomy

APRIL 8, 2025

The ML stack is an essential framework for any data scientist or machine learning engineer. Understanding the components and benefits of an ML stack can empower professionals to harness the true potential of machine learning technologies. What is an ML stack?

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Dataconomy

APRIL 24, 2025

ML model validation is a fundamental aspect that underpins the reliability and efficiency of machine learning applications. What is ML model validation? ML model validation encompasses the methods and practices used to assess a machine learning model’s effectiveness against established criteria.

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AWS Machine Learning Blog

DECEMBER 9, 2024

With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker , users want a seamless and secure way to experiment with and select the models that deliver the most value for their business.

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Towards AI

DECEMBER 26, 2024

4 Things to Keep in Mind Before Deploying Your ML Models This member-only story is on us. medium.com Regardless of the project, it might be software development or ML Model building. Last Updated on December 26, 2024 by Editorial Team Author(s): Richard Warepam Originally published on Towards AI. Upgrade to access all of Medium.

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Machine Learning Mastery

NOVEMBER 22, 2024

This well-known motto perfectly captures the essence of ensemble methods: one of the most powerful machine learning (ML) approaches -with permission from deep neural networks- to effectively address complex problems predicated on complex data, by combining multiple models for addressing one predictive task. Unity makes strength.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

At the time, I knew little about AI or machine learning (ML). But AWS DeepRacer instantly captured my interest with its promise that even inexperienced developers could get involved in AI and ML. Panic set in as we realized we would be competing on stage in front of thousands of people while knowing little about ML.

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insideBIGDATA

NOVEMBER 9, 2023

Our friends over at Sama recently published a comprehensive report on the potential and challenges of AI as reported by Machine Learning professionals.

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KDnuggets

SEPTEMBER 5, 2024

A beginner tutorial on building a simple web application for machine learning model inference using FastAPI and Jinja2 templates.

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AWS Machine Learning Blog

DECEMBER 12, 2024

The new SDK is designed with a tiered user experience in mind, where the new lower-level SDK ( SageMaker Core ) provides access to full breadth of SageMaker features and configurations, allowing for greater flexibility and control for ML engineers. In the following example, we show how to fine-tune the latest Meta Llama 3.1

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Towards AI

DECEMBER 15, 2024

Last Updated on December 15, 2024 by Editorial Team Author(s): Raghu Teja Manchala Originally published on Towards AI. Short and Concise: The Most Asked Regression Metrics in Interviews. Source: Image by Sam Nguyen on Avada Over the past few years, I have had numerous interviews, ranging from scenario-based to technical rounds.

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insideBIGDATA

APRIL 22, 2023

The company surveyed more than 1,600 executives and ML practitioners to uncover what’s working, what’s not, and the best practices for organizations to deploy AI for real business impact. Our friends over at Scale are excited to introduce the 2nd edition of Scale Zeitgeist: AI Readiness Report!

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KDnuggets

APRIL 30, 2024

Want to build and deploy robust machine learning systems to production? Start learning MLOps today with these courses from Google.

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insideBIGDATA

FEBRUARY 23, 2023

It’s a wonderful learning resource for tree-based techniques in statistical learning, one that’s become my go-to text when I find the need to do a deep dive into various ML topic areas for my work. The methods […]

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KDnuggets

AUGUST 15, 2024

The AI and ML complexity results in a growing number and diversity of jobs that require AI & ML expertise. We’ll give you a rundown of these jobs regarding the technical skills they need and the tools they employ.

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Flipboard

NOVEMBER 14, 2024

Machine learning (ML) models contain numerous adjustable settings called hyperparameters that control how they learn from data. Unlike model parameters that are learned automatically during training, hyperparameters must be carefully configured by developers to optimize model performance.

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insideBIGDATA

MARCH 18, 2024

Today at NVIDIA GTC, Hewlett Packard Enterprise (NYSE: HPE) announced updates to one of the industry’s most comprehensive AI-native portfolios to advance the operationalization of generative AI (GenAI), deep learning, and machine learning (ML) applications.

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insideBIGDATA

DECEMBER 30, 2023

They bring human experts into the loop to view how the ML performed on a set of data. Scientists at the Department of Energy’s Pacific Northwest National Laboratory have put forth a new way to evaluate an AI system’s recommendations.

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Analytics Vidhya

MAY 17, 2024

Introduction Do you know, that you can automate machine learning (ML) deployments and workflow? This can be done using Machine Learning Operations (MLOps), which are a set of rules and practices that simplify and automate ML deployments and workflows. Yes, you heard it right.

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KDnuggets

OCTOBER 16, 2024

Where can you find projects dealing with advanced ML topics? GitHub is a perfect source with its many repositories. I’ve selected ten to talk about in this article.

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insideBIGDATA

APRIL 2, 2025

benchmark suite, which delivers machine learning (ML) system performance benchmarking. Today, MLCommons announced new results for its MLPerf Inference v5.0 The rorganization said the esults highlight that the AI community is focusing on generative AI.

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Analytics Vidhya

JUNE 14, 2024

Introduction Efficient ML models and frameworks for building or even deploying are the need of the hour after the advent of Machine Learning (ML) and Artificial Intelligence (AI) in various sectors. Although there are several frameworks, PyTorch and TensorFlow emerge as the most famous and commonly used ones.

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AWS Machine Learning Blog

OCTOBER 16, 2024

Amazon SageMaker supports geospatial machine learning (ML) capabilities, allowing data scientists and ML engineers to build, train, and deploy ML models using geospatial data. SageMaker Processing provisions cluster resources for you to run city-, country-, or continent-scale geospatial ML workloads.

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Flipboard

MARCH 16, 2025

AI was certainly getting better at predictive analytics and many machine learning (ML) algorithms were being used for voice recognition, spam detection, spell ch… Read More What seemed like science fiction just a few years ago is now an undeniable reality. Back in 2017, my firm launched an AI Center of Excellence.

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Machine Learning Mastery

AUGUST 26, 2024

As we progress through 2024, machine learning (ML) continues to evolve at a rapid pace. Python, with its rich ecosystem of libraries, remains at the forefront of ML development.

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insideBIGDATA

MAY 23, 2023

is a company that provides artificial intelligence (AI) and machine learning (ML) platforms and solutions. The company was founded in 2014 by a group of engineers and scientists who were passionate about making AI more accessible to everyone.

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Data Science Dojo

JULY 5, 2024

Modern businesses are embracing machine learning (ML) models to gain a competitive edge. Deploying ML models in their day-to-day processes allows businesses to adopt and integrate AI-powered solutions into their businesses. This reiterates the increasing role of AI in modern businesses and consequently the need for ML models.

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Analytics Vidhya

MAY 11, 2025

From GenAI-driven logistics to AI-powered finance and legal tech, companies across India are offering exciting ML roles that go far beyond textbook theory. If youre a student or early professional eager to apply your Machine Learning skills in the real world, an internship is your best starting point.

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Machine Learning Research at Apple

APRIL 20, 2025

Apple researchers are advancing machine learning (ML) and AI through fundamental research that improves the worlds understanding of this technology and helps to redefine what is possible with it.

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Analytics Vidhya

SEPTEMBER 22, 2023

Introduction The area of machine learning (ML) is rapidly expanding and has applications across many different sectors. Keeping track of machine learning experiments using MLflow and managing the trials required to construct them gets harder as they get more complicated.

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Analytics Vidhya

AUGUST 7, 2024

Introduction As someone deeply passionate about the intersection of technology and education, I am thrilled to share that the Indian Space Research Organisation (ISRO) is offering an incredible opportunity for students interested in artificial intelligence (AI) and machine learning (ML). appeared first on Analytics Vidhya.

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Machine Learning Mastery

NOVEMBER 5, 2024

We need the machine learning (ML) pipeline to operate the model and deliver value. Building an ML pipeline would require us […] In real life, the machine learning model is not a standalone object that only produces a prediction. It is part of an extended system that can only provide values if we manage it together.

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Flipboard

MAY 15, 2025

Qualtrics harnesses the power of generative AI, cutting-edge machine learning (ML), and the latest in natural language processing (NLP) to provide new purpose-built capabilities that are precision-engineered for experience management (XM). It uses managed AWS services like SageMaker and Amazon Bedrock to enable the entire ML lifecycle.

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