DagsHub

MAY 7, 2024

Machine learning, particularly its subsets, deep learning, and generative ML, is currently in the spotlight. We are all still trying to figure out how to test machine learning models. What is Machine Learning Model Testing? Evaluation Vs. Testing: Are They Different?

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DagsHub

MAY 7, 2024

Machine learning, particularly its subsets, deep learning, and generative ML, is currently in the spotlight. We are all still trying to figure out how to test machine learning models. What is Machine Learning Model Testing? Evaluation Vs. Testing: Are They Different?

Machine Learning 52

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DagsHub

DECEMBER 5, 2023

Building machine learning models is a highly iterative process. After building a simple MVP for our project, we will most likely carry out a series of experiments in which we try out different models (along with their hyperparameters), create or add various features, or utilize data preprocessing techniques.

Machine Learning 52

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PyImageSearch

JANUARY 15, 2024

Home Table of Contents Adversarial Learning with Keras and TensorFlow (Part 2): Implementing the Neural Structured Learning (NSL) Framework and Building a Data Pipeline Adversarial Learning with NSL CIFAR-10 Dataset Configuring Your Development Environment Need Help Configuring Your Development Environment?

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Towards AI

OCTOBER 31, 2024

Last Updated on October 31, 2024 by Editorial Team Author(s): Jonas Dieckmann Originally published on Towards AI. Data analytics has become a key driver of commercial success in recent years. The ability to turn large data sets into actionable insights can mean the difference between a successful campaign and missed opportunities.

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ODSC - Open Data Science

JANUARY 30, 2024

Not only does it involve the process of collecting, storing, and processing data so that it can be used for analysis and decision-making, but these professionals are responsible for building and maintaining the infrastructure that makes this possible; and so much more. Think of data engineers as the architects of the data ecosystem.

Data Engineer 52

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Pickl AI

MARCH 7, 2024

Summary: In 2024, mastering essential Data Science tools will be pivotal for career growth and problem-solving prowess. offer the best online Data Science courses tailored for beginners and professionals, focusing on practical learning and industry relevance. Platforms like Pickl.AI

Data Science 52

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ODSC - Open Data Science

MAY 9, 2024

With 2024 surging along, the world of AI and the landscape being created by large language models continues to evolve in a dynamic manner. This 314 billion parameter “ mixture of experts ” model facilitates robust AI workflows and enhances the efficiency of machine learning operations across various platforms.

Machine Learning 52

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Precisely

JANUARY 18, 2024

Our 2024 mainframe trends recap focuses on modernization and the technologies and trends that can impact your own initiatives. This enables customers to migrate with zero downtime and/or replicate DB2, IMS, and VSAM data from an on-prem mainframe to the AWS cloud in real time. Let’s dive in.

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Towards AI

MAY 30, 2024

Last Updated on June 3, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. Sagemaker is a fully managed AWS service comprising a suite of tools and services to facilitate an end-to-end machine learning (ML) lifecycle. Good morning, fellow learners.

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DagsHub

APRIL 21, 2024

Source: [link] Similarly, while building any machine learning-based product or service, training and evaluating the model on a few real-world samples does not necessarily mean the end of your responsibilities. MLOps tools play a pivotal role in every stage of the machine learning lifecycle. What is MLOps?

Machine Learning 59

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Towards AI

FEBRUARY 29, 2024

Last Updated on February 29, 2024 by Editorial Team Author(s): Hira Akram Originally published on Towards AI. Diagram by author As technology continues to advance, the generation of data increases exponentially. In this dynamically changing landscape, businesses must pivot towards data-driven models to maintain a competitive edge.

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IBM Journey to AI blog

AUGUST 12, 2024

Wearable devices (such as fitness trackers, smart watches and smart rings) alone generated roughly 28 petabytes (28 billion megabytes) of data daily in 2020. And in 2024, global daily data generation surpassed 402 million terabytes (or 402 quintillion bytes). Massive, in fact. AIOps and MLOps: What’s the difference?

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ODSC - Open Data Science

DECEMBER 5, 2023

We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and of course, plenty related to large language models and generative AI. While we may be done with events for 2023, 2024 is looking to be packed full of conferences, meetups, and virtual events. What’s next?

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ODSC - Open Data Science

JANUARY 2, 2024

Data Engineering Summit Our second annual Data Engineering Summit will be in-person for the first time! Like our first Data Engineering Summit , this event will bring together the leading experts in data engineering and thousands of practitioners to explore different strategies for making data actionable.

Data Engineer 52

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ODSC - Open Data Science

FEBRUARY 15, 2024

How to Practice Data-Centric AI and Have AI Improve its Own Dataset Jonas Mueller | Chief Scientist and Co-Founder | Cleanlab Data-centric AI is poised to be a game changer for Machine Learning projects. Manual labor is no longer the only option for improving data.

Data Engineering 52

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Pickl AI

NOVEMBER 4, 2024

Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering? Data Engineering is designing, constructing, and managing systems that enable data collection, storage, and analysis. The global data warehouse as a service market was valued at USD 9.06

Data Engineer 52

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phData

JUNE 26, 2024

This is a perfect use case for machine learning algorithms that predict metrics such as sales and product demand based on historical and environmental factors. Cleaning and preparing the data Raw data typically shouldn’t be used in machine learning models as it’ll throw off the prediction.

Machine Learning 52

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AWS Machine Learning Blog

MARCH 15, 2024

Medical data restrictions You can use machine learning (ML) to assist doctors and researchers in diagnosis tasks, thereby speeding up the process. The following figures illustrate the architecture of transfer learning in FL. He has worked with multiple federal agencies to advance their data and AI goals.

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ODSC - Open Data Science

APRIL 4, 2024

Find out how to weave data reliability and quality checks into the execution of your data pipelines and more. Learn more about them here! Discover the critical role of workflow orchestration in bridging Generative AI with classical Machine Learning for robust, production-ready systems.

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ODSC - Open Data Science

FEBRUARY 6, 2024

Apache Kafka For data engineers dealing with real-time data, Apache Kafka is a game-changer. This open-source streaming platform enables the handling of high-throughput data feeds, ensuring that data pipelines are efficient, reliable, and capable of handling massive volumes of data in real-time.

Data Engineer 52

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phData

JULY 18, 2024

Many data engineering consulting companies could also answer these questions for you, or maybe you think you have the talent on your team to do it in-house. Expertise Here at phData, we strive to be experts in data engineering, analytics, and machine learning. Why should you choose phData to help?

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ODSC - Open Data Science

JANUARY 18, 2024

Data engineers will also work with data scientists to design and implement data pipelines; ensuring steady flows and minimal issues for data teams. They’ll also work with software engineers to ensure that the data infrastructure is scalable and reliable. Learn more about the cloud.

Data Engineer 52

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Pickl AI

DECEMBER 16, 2024

This capability is essential for businesses aiming to make informed decisions in an increasingly data-driven world. In 2024, the global Time Series Forecasting market was valued at approximately USD 214.6 billion in 2024 and is projected to reach a mark of USD 1339.1 billion by 2030. What is Time Series Forecasting?

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The MLOps Blog

MARCH 28, 2024

As data scientists or machine-learning engineers, one of the routine tasks we tackle involves rapid experimentation and training multiple models under different settings to identify the most effective ones. We need a well-optimized data pipeline to achieve this goal. The pipeline involves several steps.

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DataRobot Blog

DECEMBER 1, 2022

1 globally by 2024, companies should consider that more marketing does not necessarily lead to more customers acquisition. You may learn that customers who were grouped together using a traditional approach to market segmenting look very different after a machine learning assisted analysis. Automate Feature Engineering.

AI 52

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). In March 2024, AWS announced it will offer the new NVIDIA Blackwell platform, featuring the new GB200 Grace Blackwell chip. All the way through this pipeline, activities could be accelerated using PBAs.

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ODSC - Open Data Science

SEPTEMBER 27, 2024

Open Data Science AI News Blog Recap DOD Urged to Accelerate AI Adoption Amid Rising Global Threats ( Source ) Anthropic Eyes $40 Billion Valuation in New Funding Round ( Source ) Meta to Launch AI Celebrity Voices from Judi Dench, John Cena, and Other Celebrities ( Source ) Celebrities Fall Victim to ‘Goodbye Meta AI’ Hoax as Fake Privacy Message (..)

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ODSC - Open Data Science

FEBRUARY 8, 2024

Answering these questions allows data scientists to develop useful data products that start out simple and can be improved and made more complex over time until the long-term vision is achieved. At the strategy level, we are not interested in what technologies we will use for data warehousing, data pipelines, serving models, etc.

AI 52

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phData

DECEMBER 4, 2023

This blog was originally written by Erik Hyrkas and updated for 2024 by Justin Delisi This isn’t meant to be a technical how-to guide — most of those details are readily available via a quick Google search — but rather an opinionated review of key processes and potential approaches. Use with caution, and test before committing to using them.

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Precisely

AUGUST 15, 2024

A recent TDWI Best Practices Report found that top priority outcomes for digital business transformation in 2024 include: increased operational efficiency better data-driven decisions superior customer experiences How are businesses planning to achieve these goals and more? Let’s dive deeper into data readiness next.

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Pickl AI

JUNE 7, 2024

This blog will delve into ETL Tools, exploring the top contenders and their roles in modern data integration. Let’s unlock the power of ETL Tools for seamless data handling. Also Read: Top 10 Data Science tools for 2024. It is a process for moving and managing data from various sources to a central data warehouse.

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PyImageSearch

JANUARY 8, 2024

In the 2nd part of this tutorial series, we will start building our adversarial attacks and defenses using the TensorFlow NSL (Neural Structured Learning) framework, which makes it very easy to implement such adversarial applications. config.py ) The data pipeline (i.e., callbacks.py ) The parameter configurations (i.e.,

Deep Learning 64

Deep Learning Deep Learning Data Pipeline Computer Science 64

phData

JULY 5, 2024

At the time of writing this blog, the year is 2024, and companies that have not yet adopted Gen AI may be feeling the pressure of being left behind. Our data engineering blog in this series explores the concept of data engineering and data stores for Gen AI applications in more detail.

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PyImageSearch

JANUARY 29, 2024

Introduction to Advanced Adversarial Techniques in Machine Learning In the first tutorial of this series, we briefly discussed the process of generating perturbations (or noise) and tried to engineer our own adversarial examples using TensorFlow. Gosthipaty, S. Kidriavsteva, and R.

Deep Learning 56

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

An optional CloudFormation stack to deploy a data pipeline to enable a conversation analytics dashboard. Choose an option for allowing unredacted logs for the Lambda function in the data pipeline. This allows you to control which IAM principals are allowed to decrypt the data and view it. For testing, choose yes.

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BAIR

FEBRUARY 17, 2024

We argue that compound AI systems will likely be the best way to maximize AI results in the future , and might be one of the most impactful trends in AI in 2024. Machine learning models are inherently limited because they are trained on static datasets, so their “knowledge” is fixed. Why Use Compound AI Systems?

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