insideBIGDATA

MAY 17, 2024

In this contributed article, freelance writer Ainsley Lawrence briefly explores deploying machine learning models, showing you how to manage multiple models, establish robust monitoring protocols, and efficiently prepare to scale.

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Analytics Vidhya

JULY 22, 2024

Introduction In this article, we dive into the top 10 publications that have transformed artificial intelligence and machine learning. By highlighting the significant impact of these discoveries on current applications and […] The post 10 Must Read Machine Learning Research Papers appeared first on Analytics Vidhya.

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Analytics Vidhya

MAY 8, 2024

Introduction If I had to pick one platform that has single-handedly kept me up-to-date with the latest developments in data science and machine learning – it would be GitHub.

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Machine Learning Mastery

SEPTEMBER 23, 2024

As companies rush to implement generative AI solutions, there has been an […] The post 5 Free Courses to Master Deep Learning in 2024 appeared first on MachineLearningMastery.com. It helps businesses streamline operations, cut costs, and improve efficiency.

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insideBIGDATA

OCTOBER 22, 2024

We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. The team here at insideAI News is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe.

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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.

Deep Learning 464

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insideBIGDATA

JANUARY 18, 2024

We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe.

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insideBIGDATA

MARCH 7, 2023

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday.

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insideBIGDATA

JANUARY 17, 2023

We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe.

Big Data 482

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Dataconomy

MARCH 17, 2025

Overfitting in machine learning is a common challenge that can significantly impact a model’s performance. What is overfitting in machine learning? The model essentially memorizes the training data rather than learning to generalize from it.

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insideBIGDATA

OCTOBER 11, 2023

We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe.

Big Data 474

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Analytics Vidhya

JULY 16, 2024

This article aims to provide readers with […] The post What is Tensor: Key Concepts, Properties, and Uses in Machine Learning appeared first on Analytics Vidhya. Tensors efficiently handle multi-dimensional data, making such innovative projects possible.

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insideBIGDATA

APRIL 17, 2023

We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe.

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insideBIGDATA

MAY 8, 2023

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday.

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KDnuggets

APRIL 19, 2024

The collection includes free courses on Python, SQL, Data Analytics, Business Intelligence, Data Engineering, Machine Learning, Deep Learning, Generative AI, and MLOps.

Data Science 383

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insideBIGDATA

JUNE 6, 2023

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday.

Deep Learning 433

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insideBIGDATA

OCTOBER 23, 2023

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday.

Deep Learning 418

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Dataconomy

APRIL 28, 2025

Model explainability in machine learning is a pivotal aspect that affects not only the technologys performance but also its acceptance in society. As machine learning algorithms become increasingly complex, understanding how they reach decisions becomes essential. What is model explainability in machine learning?

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Flipboard

MAY 29, 2025

Numerous machine learning-based models have recently been utilized to accelerate the drug discovery process. The authors proposed a multi-task deep learning model, to accurately predict drug-target affinity and generate target-aware drugs.

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Analytics Vidhya

JANUARY 15, 2025

In this article, we dive into the concepts of machine learning and artificial intelligence model explainability and interpretability. We explore why understanding how models make predictions is crucial, especially as these technologies are used in critical fields like healthcare, finance, and legal systems.

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Data Science Dojo

FEBRUARY 13, 2025

With rapid advancements in machine learning, generative AI, and big data, 2025 is set to be a landmark year for AI discussions, breakthroughs, and collaborations. Machine Learning & AI Applications Discover the latest advancements in AI-driven automation, natural language processing (NLP), and computer vision.

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Data Science Dojo

NOVEMBER 10, 2023

This is done by training machine learning models on large datasets of existing content, which the model then uses to generate new and original content. Want to build a custom large language model ? PyTorch: PyTorch is another popular open-source machine learning library that is well-suited for generative AI.

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insideBIGDATA

FEBRUARY 3, 2023

In this contributed article, Al Gharakhanian, Machine Learning Development Director, Cognityze, takes a look at anomaly detection in terms of real-life use cases, addressing critical factors, along with the relationship with machine learning and artificial neural networks.

Machine Learning 538

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Data Science Dojo

OCTOBER 31, 2024

Key Skills: Mastery in machine learning frameworks like PyTorch or TensorFlow is essential, along with a solid foundation in unsupervised learning methods. Stanford AI Lab recommends proficiency in deep learning, especially if working in experimental or cutting-edge areas.

Data Science 195

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insideBIGDATA

JANUARY 26, 2023

Principal Scientist shared some fascinating information about how Interactions' Intelligent Virtual Assistants (IVAs) leverage advanced natural language understanding (NLU) models for "speech recognition" and "advanced machine learning."

Machine Learning 544

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insideBIGDATA

DECEMBER 30, 2023

The expert learns which types of data the machine-learning system typically classifies correctly, and which data types lead to confusion and system errors. 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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Machine Learning Mastery

MAY 8, 2025

A lot (if not nearly all) of the success and progress made by many generative AI models nowadays, especially large language models (LLMs), is due to the stunning capabilities of their underlying architecture: an advanced deep learning-based architectural model called the

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