KDnuggets

JUNE 10, 2024

Machine Learning model is an exciting project. Learn how to develop your first model that the company would want to use.

Machine Learning 354

Machine Learning Machine Learning 354

KDnuggets

SEPTEMBER 10, 2024

Learn about machine learning APIs for datasets, models, web applications, free GPUs, and text, audio, and image generation.

Machine Learning 321

Machine Learning Machine Learning 321

KDnuggets

NOVEMBER 29, 2024

Black Friday is finally here, and so are huge savings for your machine learning journey!

Machine Learning 322

Machine Learning Machine Learning 322

Machine Learning Mastery

OCTOBER 18, 2024

As a data scientist, you probably know how to build machine learning models. But it’s only when you deploy the model that you get a useful machine learning solution. And if you’re looking to learn more about deploying machine learning models, this guide is for you.

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Machine Learning Machine Learning Data Scientist ML 273

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.

Machine Learning 295

Machine Learning Machine Learning Python ML 295

KDnuggets

OCTOBER 24, 2024

To help you navigate this complex subject, we’ve compiled five free online courses that will give you a solid foundation in machine learning algorithms.

Machine Learning 293

Machine Learning Machine Learning Algorithm 293

Machine Learning Mastery

NOVEMBER 5, 2024

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

Machine Learning 278

Machine Learning Machine Learning ML ML 278

Data Science Dojo

JULY 5, 2024

Machine learning models are algorithms designed to identify patterns and make predictions or decisions based on data. Modern businesses are embracing machine learning (ML) models to gain a competitive edge. What is Machine Learning Model Testing? What is the Difference between Model Evaluation and Testing?

Machine Learning 322

Machine Learning Machine Learning ML ML 322

Machine Learning Mastery

OCTOBER 25, 2024

Are you a machine learning enthusiast looking to level up your skills? If so, contributing to open-source machine learning projects is one of the best ways to improve your coding skills.

Machine Learning 259

Machine Learning Machine Learning 259

insideBIGDATA

NOVEMBER 12, 2024

Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, explores why mathematics is so integral to data science and machine learning, with a special focus on the areas most crucial for these disciplines, including the foundation needed to understand generative AI. In this feature article, Daniel D.

Machine Learning 259

Machine Learning Machine Learning Data Science Data Scientist 259

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.

Machine Learning 388

Machine Learning Machine Learning ML ML 388

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.

Machine Learning 366

Machine Learning Machine Learning ML ML 366

databricks

AUGUST 14, 2024

We are excited to announce that Graviton , the ARM-based CPU instance offered by AWS, is now supported on the Databricks ML Runtime.

Machine Learning 308

Machine Learning Machine Learning AWS ML 308

KDnuggets

JUNE 20, 2024

Image by author Model deployment is the process of trained models being integrated into practical applications. This includes defining the necessary environment, specifying how input data is introduced into the model and the output produced, and the capacity to analyze new data and provide relevant predictions or categorizations. Let…

Machine Learning 341

Machine Learning Machine Learning 341

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

Machine Learning Machine Learning Big Data Big Data 538

Machine Learning Research at Apple

DECEMBER 5, 2024

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Machine Learning Machine Learning 228

KDnuggets

FEBRUARY 28, 2024

Begin your data professional journey from the basics of statistics to building a production-grade AI application.

Machine Learning 393

Machine Learning Machine Learning Data Science Data Engineering 393

KDnuggets

JULY 19, 2024

Thanks to tools like BigQuery ML, you can harness the power of ML without needing a computer science degree. Let's explore how to get started.

ML 311

ML ML Data Analyst Machine Learning 311

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

Deep Learning Deep Learning Machine Learning Machine Learning 464

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

Machine Learning Machine Learning AI AI 544

insideBIGDATA

JUNE 19, 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.

Big Data 513

Big Data Big Data Deep Learning Deep Learning 513

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.

Big Data 513

Big Data Big Data Deep Learning Deep Learning 513

insideBIGDATA

MARCH 23, 2024

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, sits down with industry luminary Sebastian Raschka to discuss his latest book, Machine Learning Q and AI, the open-source libraries developed by Lightning AI, how to exploit the greatest opportunities for LLM development, (..)

Machine Learning 397

Machine Learning Machine Learning Data Scientist AI 397

insideBIGDATA

FEBRUARY 26, 2024

Certain solutions in this space combine vector databases and applications of LLMs alongside knowledge graph environs, which are ideal for employing Graph Neural Networks and other forms of advanced machine learning.

Artificial Intelligence 463

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 463

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.

Big Data 480

Big Data Big Data Deep Learning Deep Learning 480

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.

Machine Learning 511

Machine Learning Machine Learning ML ML 511

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.

Deep Learning 515

Deep Learning Deep Learning Big Data Big Data 515

insideBIGDATA

MAY 22, 2023

In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and (..)

Big Data 472

Big Data Big Data Machine Learning Machine Learning 472

insideBIGDATA

FEBRUARY 12, 2024

Computer vision is an extremely viable facet of advanced machine learning for the enterprise. In this contributed article, editorial consultant Jelani Harper discusses a number of hot topics today: computer vision, data quality, and spatial data. Its utility for data quality is evinced from some high profile use cases.

Data Quality 418

Data Quality Machine Learning Machine Learning Deep Learning 418

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

Big Data Big Data Deep Learning Deep Learning 474

insideBIGDATA

MARCH 2, 2024

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by poolside co-founder and CEO Jason Warner who sheds light on how code-specialized LLMs could vastly outperform generalized counterparts like GPT-4.

Data Scientist 397

Data Scientist Machine Learning Machine Learning Deep Learning 397

KDnuggets

MARCH 27, 2024

Learn everything about data science by exploring our curated collection of free courses from top universities, covering essential topics from math and programming to machine learning, and mastering the nine steps to become a job-ready data scientist.

Data Science 395

Data Science Data Scientist Machine Learning Machine Learning 395

insideBIGDATA

JUNE 23, 2023

Kaggle is a great way to gain valuable experience with data science and machine learning. The Kaggle Book by Konrad Banachewicz and Luca Massaron published in 2022, and The Kaggle Workbook by the same authors published in 2023, both from UK-based Packt Publishing, are excellent learning resources.

Data Science 468

Data Science Data Scientist Machine Learning Machine Learning 468

insideBIGDATA

OCTOBER 15, 2024

insideAI New recently caught up with Charles Sansbury, CEO Cloudera, at the company's EVOLVE24 event in New York City to gain some insights into how Cloudera is embracing machine learning and data science, but also the company's work environment, and employees.

Machine Learning 384

Machine Learning Machine Learning Data Science Big Data 384

insideBIGDATA

MARCH 30, 2024

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, sits down with Rudina Seseri from Glasswing Ventures to answer the question: "What has Glasswing Ventures done for the company beyond capital investment?"

Data Scientist 418

Data Scientist Machine Learning Machine Learning AI 418

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.

Python 434

Python Machine Learning Machine Learning AI 434

KDnuggets

SEPTEMBER 26, 2024

If so, you know that you should use your programming, statistics, and machine learning skills—coupled with domain expertise—to use data to answer business questions. Are you an aspiring data scientist or early in your data science career? To succeed as a data scientist, therefore, becoming proficient in coding is essential.

Data Science 366

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