Machine Learning

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MIT startup DataCebo offers tool to evaluate synthetic data

Synthetic Data Metrics is an open-source Python library for evaluating model-agnostic tabular data by pitching machine generated data sets against real data sets.

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13 open source projects transforming AI and machine learning

From deepfakes to natural language processing and more, the open source world is ripe with projects to support software development on the frontiers of artificial intelligence and machine learning.

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What is CUDA? Parallel programming for GPUs

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing power of GPUs.

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When is enough data enough?

Maybe we don’t need more data, we just need people who understand the data we already have and its value in a business context.

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TensorFlow 2.10 shines on Keras, Decision Forests

Update to Google’s open source machine learning platform brings Keras improvements, performance enhancements, and TensorFlow Decision Forests 1.0.

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TensorFlow, PyTorch, and JAX: Choosing a deep learning framework

Three widely used frameworks are leading the way in deep learning research and production today. One is celebrated for ease of use, one for features and maturity, and one for immense scalability. Which one should you use?

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Some cloud-based AI systems are returning to on-premises data centers

AI/ML model training and knowledge-based storage and processing are more costly on a cloud than many thought, and prices for compute and storage equipment have fallen.

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Review: Snowflake aces Python machine learning

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines to run on a recurrent schedule.

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What is Google JAX? NumPy on accelerators

What's the buzz about Google JAX? Find out how JAX combines Autograd and XLA for blazing-fast numerical computing and machine learning research on CPUs, GPUs, and TPUs.

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Why you should modernize search technologies

Important knowledge is scattered throughout the organization. Simplify everything, make it easy for employees to find what they need, and use machine learning.

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What’s new in Microsoft Azure’s NLP AI services

Microsoft is finally close to delivering its long-promised natural user interfaces. Here’s how you can build them into your code.

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How AI is changing IoT

Artificial intelligence unlocks the true potential of IoT by enabling networks and devices to learn from past decisions, predict future activity, and continuously improve performance and decision-making capabilities.

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Microsoft previews text classification API for ML.NET

New text classification API for Microsoft’s open source machine learning framework streamlines model training by using your data to fine-tune an existing model.

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What is behavioral analytics and when is it important?

The ability to mine large amounts of data to study how users act offers long-reaching business benefits and risk reduction opportunities.

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What is TensorFlow? The machine learning library explained

TensorFlow is a Python-friendly open source library for numerical computation that makes machine learning and developing neural networks faster and easier.

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Informatica’s Data Management Cloud gets new data engineering, MLOps tools

Updates to Informatica's Intelligent Data Management Cloud (IDMC) are meant to maximize efficiency of an enterprise to handle complex challenges such as data integration, management and engineering.

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Career roadmap: Data engineer

A combination of education, on-the-job training, and a certificate in data science paved the way from health sciences to data engineering.

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What is PyTorch? Python machine learning on GPUs

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

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