KDnuggets

SEPTEMBER 12, 2019

It turned out that, if we ask the weak algorithm to create a whole bunch of classifiers (all weak for definition), and then combine them all, what may figure out is a stronger classifier.

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KDnuggets

AUGUST 7, 2019

There are dozens of machine learning algorithms out there. It is impossible to learn all their mechanics; however, many algorithms sprout from the most established algorithms, e.g. ordinary least squares, gradient boosting, support vector machines, tree-based algorithms and neural networks.

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KDnuggets

DECEMBER 10, 2019

Graph machine learning is a developing area of research that brings many complexities. One challenge that both fascinates and infuriates those working with graph algorithms is — scalability.

Machine Learning 165

Machine Learning Machine Learning Algorithm Database 165

Smart Data Collective

SEPTEMBER 24, 2020

Many photographers are discovering the profound benefits of machine learning and other AI capabilities. billion in 2019. There have already been a lot of applications for machine learning with photos in marketing. However, it is worth exploring the benefits of machine learning for photography itself.

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Smart Data Collective

MARCH 26, 2021

Machine learning (ML) is an innovative tool that advances technology in every industry around the world. From the most subtle advances, like Netflix recommendations, to life-saving medical diagnostics or even writing content , machine learning facilitates it all. Machine learning mimics the human brain.

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KDnuggets

AUGUST 21, 2019

Utilizing stacking (stacked generalizations) is a very hot topic when it comes to pushing your machine learning algorithm to new heights. For instance, most if not all winning Kaggle submissions nowadays make use of some form of stacking or a variation of it.

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Machine Learning Machine Learning Python Algorithm 249

Smart Data Collective

APRIL 10, 2020

Machine learning is leading to numerous changes in the energy industry. The Department of Energy recently announced that it is taking steps to accelerate the integration of machine learning technology in energy research and development. Machine learning is already disrupting the global energy industry on a massive scale.

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Smart Data Collective

OCTOBER 13, 2021

It’s similar to prices – price optimization through machine learning is a great tool to grow your revenue. What can you learn from real-market examples? That’s where machine learning algorithms come into place. That’s where machine learning algorithms come into place. How exactly?

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Data Science 101

JUNE 3, 2019

Cloud Programming Simplified: A Berkeley View on Serverless Computing (2019) – Serverless computing is very popular nowadays and this article covers some of the limitations.

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Smart Data Collective

JUNE 3, 2021

Many different industries are becoming more reliant on machine learning. The insurance industry is among those that has found new opportunities to take advantage of machine learning technology. Many of the applications of big data for insurance companies will be realized with machine learning technology.

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Smart Data Collective

FEBRUARY 4, 2021

Machine learning is among the biggest disruptive technologies to ever impact the field of online commerce. What changes can many brands in the e-commerce sector expect to witness from new developments in big data and machine learning ? In 2019, over 1.9 This is the biggest advantage for new e-commerce companies.

Machine Learning 111

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KDnuggets

SEPTEMBER 25, 2019

Learn about unexpected risk of AI applied to Big Data; Study 5 Sampling Algorithms every Data Scientist needs to know; Read how one data scientist copes with his boring days of deploying machine learning; 5 beginner-friendly steps to learn ML with Python; and more.

Data Scientist 139

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Flipboard

JUNE 3, 2025

By employing machine-learning models, this study utilizes agronomical and molecular features to predict powdery mildew disease resistance in Barley (Hordeum Vulgare L). The study employed RReliefF, MRMR, and F-Test feature selection algorithms to identify essential phenotype traits and molecular markers.

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ODSC - Open Data Science

SEPTEMBER 21, 2023

The majority of us who work in machine learning, analytics, and related disciplines do so for organizations with a variety of different structures and motives. The following is an extract from Andrew McMahon’s book , Machine Learning Engineering with Python, Second Edition.

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Machine Learning Machine Learning ML ML 98

Smart Data Collective

FEBRUARY 24, 2021

You might have received a lengthy email from your coworker, and you could simply press on the ‘Got it’ response suggested by Google’s AI algorithm to compose your reply. However, this ever-evolving machine learning technology might surprise you in this regard. Machine Learning to Write your College Essays.

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KDnuggets

DECEMBER 19, 2019

Here are six more lessons based on real life examples that I think we should all remember as people working in machine learning, whether you’re a researcher, engineer, or a decision-maker.

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Smart Data Collective

AUGUST 12, 2019

Google is constantly developing new artificial intelligence algorithms to improve search engine results. However, Google isn’t the only company using AI and machine learning in search. Machine Learning is Changing the Art of Link building. Google is already using machine learning in Gmail, reaching a 99.9

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Machine Learning Machine Learning Algorithm Big Data 92

Smart Data Collective

JUNE 24, 2023

Fortunately, new advances in machine learning technology can help mitigate many of these risks. Therefore, you will want to make sure that your cryptocurrency wallet or service is protected by machine learning technology. In 2018, researchers used data mining and machine learning to detect Ponzi schemes in Ethereum.

Machine Learning 98

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 98

Towards AI

APRIL 22, 2024

Algorithmic Bias in Facial Recognition Technologies Exploring how facial recognition systems can perpetuate biases. While FR was limited by a lack of computational power and algorithmic accuracy back then, we have since seen huge innovative improvements in the field.

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Algorithm Deep Learning Deep Learning Machine Learning 111

KDnuggets

SEPTEMBER 12, 2019

This article explains the Support Vector Machines (SVM) algorithm in an easy way.

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Flipboard

NOVEMBER 5, 2024

The coronavirus disease 2019 (COVID-19) has a significant impact on the global population, particularly on individuals with chronic kidney disease (CKD). We developed machine learning algorithms to analyze 219 patients’ clinical laboratory test data retrospectively.

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Machine Learning Machine Learning Algorithm Computer Science 65

Dataconomy

APRIL 3, 2025

In his thesis, A Context-Based Cross-Domain Collaborative Filtering Approach in Folksonomies , Harshit explored the intricacies of machine learning and recommendation systems, laying a solid foundation for his contributions to scalable systems and marketing technology. Graduating with an Integrated Dual Degree (B.Tech. and M.Tech.)

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Big Data Big Data Machine Learning Machine Learning 91

Dataconomy

MARCH 17, 2025

Machine learning algorithms: Utilizing recurrent neural networks and TensorFlow Extended, Duplex effectively handles various tasks with high accuracy and adaptability. In 2019, it received significant updates, including expanded web functionalities. Since then, it has grown from being available in a few select U.S.

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Natural Language Processing Artificial Intelligence Artificial Intelligence Machine Learning 91

KDnuggets

SEPTEMBER 27, 2019

The article contains a brief introduction to various concepts related to Hierarchical clustering algorithm.

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Clustering Algorithm Python Machine Learning 307

ML Review

DECEMBER 16, 2019

Machine Learning on Graphs becomes a first-class citizen at AI conferences while being not that mysterious as you might have imagined ?. Let’s check out the goodies brought by NeurIPS 2019 and co-located events! In contrast, hyperbolic algorithms employ Poincare balls and hyperbolic space.

Machine Learning 52

Machine Learning Machine Learning Algorithm Database 52

AWS Machine Learning Blog

DECEMBER 7, 2023

Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. Calculating courier requirements The first step is to estimate hourly demand for each warehouse, as explained in the Algorithm selection section.

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Smart Data Collective

JANUARY 14, 2021

Machine learning has drastically changed the direction of the financial industry. In 2019, Forbes published an article showing that machine learning can increase productivity of the financial services industry by $140 billion. The best stock analysis software relies heavily on new machine learning algorithms.

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Flipboard

AUGUST 23, 2023

Back in 2019, Princeton University’s Arvind Narayanan, a professor of computer science and expert on algorithmic fairness, artificial intelligence and privacy, shared a set of slides on Twitter called “AI Snake Oil.” The presentation, which claimed that “much of what’s being sold as ‘AI’ today is …

Computer Science 123

Computer Science Computer Science Artificial Intelligence Artificial Intelligence 123

Dataconomy

JULY 4, 2023

Gartner coined the term “hyper automation” in 2019 to describe the integration of multiple automation technologies ( Image Credit ) What is hyper automation? Additionally, organizations can extend the power of automation by incorporating AI and machine learning in different ways.

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ML @ CMU

SEPTEMBER 13, 2024

2019 , 2023; Nasr et al., In this section, we formally define and introduce our MiniPrompt algorithm that we use to answer our central question. In 28th USENIX security symposium (USENIX security 19) , pages 267–284, 2019. Membership inference attacks against machine learning models. Carlini et al., IEEE, 2017.

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Dataconomy

JUNE 8, 2023

These technologies leverage sophisticated algorithms to process vast amounts of medical data, helping healthcare professionals make more accurate decisions. By leveraging machine learning algorithms, AI systems can analyze medical images, such as X-rays, MRIs, and CT scans, with remarkable accuracy and speed.

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AWS Machine Learning Blog

APRIL 7, 2025

This approach allows for greater flexibility and integration with existing AI and machine learning (AI/ML) workflows and pipelines. Chakravarthy Nagarajan is a Principal Solutions Architect specializing in machine learning, big data, and high performance computing. billion to a projected $574.78

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How to Learn Machine Learning

JULY 20, 2024

OCR has been around for years, but its superb capabilities have improved recently, thanks to machine learning & artificial intelligence. The new wave of OCR tools, powered by machine learning & AI technology, can save you time. That’s Optical Character Recognition – OCR at work. billion by 2025.

Machine Learning 52

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 52

AWS Machine Learning Blog

OCTOBER 5, 2023

Before that, he worked on developing machine learning methods for fraud detection for Amazon Fraud Detector. He is passionate about applying machine learning, optimization, and generative AI techniques to various real-world problems. He focuses on developing scalable machine learning algorithms.

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Data Science 101

DECEMBER 6, 2019

Huge week of machine learning news from Amazon. And there are…tons… of machine learning announcements from that event. Amazon SageMaker Studio A browser-based Integrated Development Environment (IDE) for machine learning. What is the new Azure Machine Learning Designer.

Cloud Data 81

Cloud Data Data Science Azure Machine Learning 81

Smart Data Collective

MARCH 22, 2019

There are countless applications of machine learning in 2019. The demand for machine learning developers is growing at a rapid pace. MIT recently announced that it is committing $1 billion to a new program to educate technology professionals about machine learning and artificial intelligence.

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AWS Machine Learning Blog

JULY 29, 2024

Amazon Forecast is a fully managed service that uses statistical and machine learning (ML) algorithms to deliver highly accurate time series forecasts. You have the flexibility to select one or several algorithms for model creation, along with the capability to evaluate the impact of model features on prediction accuracy.

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