Unite.AI

NOVEMBER 6, 2023

With these advancements, it’s natural to wonder: Are we approaching the end of traditional machine learning (ML)? In this article, we’ll look at the state of the traditional machine learning landscape concerning modern generative AI innovations. What is Traditional Machine Learning? What are its Limitations?

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Analytics Vidhya

FEBRUARY 3, 2022

Overview Machine learning (ML) has a lot of potential for increasing productivity. The post Privacy-Preserving in Machine Learning (PPML) appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

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Heartbeat

JUNE 12, 2023

Source: Author Introduction Machine learning model monitoring tracks the performance and behavior of a machine learning model over time. Many tools and techniques are available for ML model monitoring in production, such as automated monitoring systems, dashboarding and visualization, and alerts and notifications.

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Analytics Vidhya

MARCH 9, 2023

Introduction Machine learning is a powerful tool for digital marketing that uses data analysis to predict consumer behavior and improve marketing campaigns. According to a […] The post 10 Ways to Use Machine Learning for Marketing in 2023 appeared first on Analytics Vidhya.

Machine Learning 259

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Towards AI

SEPTEMBER 2, 2023

Machine Learning (ML) model development often takes time and requires technical expertise. However, after deploying the model to production, there are plenty of reasons that contribute to lower model performance or degradation. How is our model impacted in the evolving world? Upgrade to access all of Medium.

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Machine Learning Python Data Science ML 118

Aiiot Talk

FEBRUARY 1, 2024

Machine learning has many applications in businesses across various industries. Marketing, for instance, can benefit from its data processing and learning abilities to convert potential leads into verified customers. Discover how you can use machine learning to increase paid conversions.

Machine Learning 130

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Analytics Vidhya

JANUARY 5, 2022

Testing helps in ensuring that the final product is by and large, free of defects and it meets the desired requirements. The post Writing Test Cases for Machine Learning systems appeared first on Analytics Vidhya. Introduction Testing forms an integral part of any software development project.

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Analytics Vidhya

MAY 29, 2022

Introduction on RFM Analysis This article aims to take you through the important concept of Customer Segmentation using RFM Analysis and how it can be done using machine learning. The post Product Recommendation System Using RFM Analysis appeared first on Analytics Vidhya.

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Analytics Vidhya

AUGUST 20, 2022

Introduction Companies are trying to disrupt the technological and business market by introducing new and smart products and techniques in society by adopting new age-technologies like Artificial intelligence and Machine learning. Each organization is searching for well-talented and experienced people who can serve […].

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Analytics Vidhya

OCTOBER 6, 2019

Overview What are the next steps after you’ve deployed your machine learning model? Post-deployment monitoring is a crucial step in any machine learning project. The post Deployed your Machine Learning Model?

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Analytics Vidhya

MARCH 7, 2024

In 2024, the landscape of AI products has expanded exponentially, offering innovative solutions to enhance productivity, creativity, and efficiency across various industries.

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Analytics Vidhya

APRIL 16, 2022

Introduction Congratulations, you have deployed a model to production; it is an achievement for you and your team! In a normal software engineering development cycle, you would now sit back and relax; however, in the machine learning development cycle, deployment to production is just about […].

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Analytics Vidhya

OCTOBER 18, 2021

This article was published as a part of the Data Science Blogathon Learn how machine learning pipelines are used in productions and design your first pipeline using simple steps on disaster tweets classification datasets. You will also learn how to ingest the data, preprocess, train, and eventually evaluate the results.

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Aiiot Talk

NOVEMBER 4, 2023

Artificial intelligence (AI) and machine learning are important tools for helping that happen, especially if utilized in strategic ways. Boosting Productivity With Generative AI “Employees can boost their productivity by up to 40% by using generative AI tools within the scope of the technology’s capabilities.

Machine Learning 130

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Analytics Vidhya

MARCH 21, 2022

This is the best fit for the traditional software that is managed in the production environment very effectively […]. The post A Comprehensive Guide on MLOps for Machine Learning Engineering appeared first on Analytics Vidhya.

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Analytics Vidhya

MAY 13, 2021

Introduction Operationalizing a Machine Learning (ML) model in production needs. The post Data Validation in Machine Learning is imperative, not optional appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

Machine Learning 285

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Towards AI

APRIL 5, 2023

Machine Learning has become a buzzword in the tech industry and beyond, with its applications ranging from image recognition to natural language processing. However, the way machine learning is implemented varies greatly depending on the environment in which it is used. Join thousands of data leaders on the AI newsletter.

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Machine Learning Natural Language Processing AI AI 87

Analytics Vidhya

DECEMBER 1, 2020

The post Use of Machine Learning in Dairy farming appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Introduction: These days if we read anything, we can see something is.

Machine Learning 397

Machine Learning Data Science 397

Analytics Vidhya

APRIL 2, 2022

Introduction MLOps, as a new area, is quickly gaining traction among Data Scientists, Machine Learning Engineers, and AI enthusiasts. MLOps are required for anything to reach production. The post Your Go-to Guide on Machine Learning Operations (MLOps) appeared first on Analytics Vidhya.

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Analytics Vidhya

MARCH 5, 2024

This article will explore the 10 best ChatGPT plugins to […] The post 10 Best ChatGPT Plugins For Enhancing Productivity appeared first on Analytics Vidhya. These plugins offer additional features, customization options, and improved usability.

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Analytics Vidhya

SEPTEMBER 14, 2022

Introduction Deploying is perhaps the second most crucial step in the complete product development life cycle. The post Fast API, Docker and AWS ECS to Deploy Machine Learning Model appeared first on Analytics Vidhya. Deploying models let other members of your organization consume what you have created.

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Machine Learning Data Science 266

IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

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Towards AI

MARCH 22, 2024

Learn how to develop an ML project from development to production. If we say an end-to-end machine learning project doesn't stop when it is developed, it's only halfway. A machine Learning project succeeds if the model is in production and creates continuous value for the business.

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Machine Learning Data Drift Data Analysis Data Science 104

IBM Journey to AI blog

DECEMBER 19, 2023

In this blog we’ll go over how machine learning techniques, powered by artificial intelligence, are leveraged to detect anomalous behavior through three different anomaly detection methods: supervised anomaly detection, unsupervised anomaly detection and semi-supervised anomaly detection.

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Towards AI

NOVEMBER 5, 2023

A deep dive into explainability for business leadersImage by Don Kaluarachchi (author) In this article, we are going to look into the world of machine learning explainability. Let us start off by acknowledging the elephant in the room — why do we even need to understand how these machines think?

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Towards AI

FEBRUARY 16, 2024

Image adapted from Adobe Stock Machine learning is becoming a significant tool in the field of chemistry, providing new opportunities in various areas such as drug discovery and materials science. Recently, the combination of machine learning and chemistry has made significant progress. Published via Towards AI

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IBM Journey to AI blog

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

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AssemblyAI

MAY 14, 2024

We're seeing innovators solve massive challenges and provide creative solutions—like coaching to help children learn to read or call analytics to improve customer support—and we want to highlight some of the new use cases we're seeing in the overall market. New Speech AI Use Cases 1. For example, Corti.ai

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Heartbeat

OCTOBER 30, 2023

Ensuring Long-Term Performance and Adaptability of Deployed Models Source: [link] Introduction When working on any machine learning problem, data scientists and machine learning engineers usually spend a lot of time on data gathering , efficient data preprocessing , and modeling to build the best model for the use case.

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Marktechpost

MARCH 30, 2024

In 2024, the landscape of Python libraries for machine learning and deep learning continues to evolve, integrating more advanced features and offering more efficient and easier ways to build, train, and deploy models. It’s widely used for research and production purposes at Google.

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Towards AI

JANUARY 11, 2024

Arguably, one of the most important concepts in machine learning is classification. This article will illustrate the difference between classification and regression in machine learning. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

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Marktechpost

AUGUST 8, 2023

In the ever-evolving landscape of machine learning, feature management has emerged as a key pain point for ML Engineers at Airbnb. Airbnb recognized the need for a solution that could streamline feature data management, provide real-time updates, and ensure consistency between training and production environments.

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Towards AI

SEPTEMBER 11, 2023

Guide to Building Your Own Machine Learning Model with Rust This member-only story is on us. Image by Author with @MidJourney Artificial intelligence (AI) company Hugging Face has recently introduced Candle, a new minimalistic machine learning (ML) framework designed for the Rust programming language.

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Towards AI

MARCH 17, 2024

Danica Kragic’s supervision, at the KTH lab in the Robotics Perception and Learning Division. What you will learn in this article. Landscape overview of the state-of-the art hyperbolic Machine Learning models for dimensionality reduction. What can you tell us about the current advances in this area?

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Machine Learning Robotics ML AI 101

Flipboard

NOVEMBER 21, 2023

MATLAB   is a popular programming tool for a wide range of applications, such as data processing, parallel computing, automation, simulation, machine learning, and artificial intelligence. In recent years, MathWorks has brought many product offerings into the cloud, especially on Amazon Web Services (AWS).

Machine Learning 116

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Marktechpost

JANUARY 1, 2024

In machine learning (ML) research at Meta, the challenges of debugging at scale have led to the development of HawkEye, a powerful toolkit addressing the complexities of monitoring, observability, and debuggability. Unlike conventional methods, HawkEye significantly reduces the time spent debugging complex production issues.

Machine Learning 137

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Towards AI

OCTOBER 11, 2023

Types of discrimination Photo by John Schnobrich on UnsplashFainess in Machine LearningEvidence of the problemFundamental concept: Discrimination, Bias, and Fairness Machine learning algorithms substantially affect everyday life in areas such as education, employment, advertising, and policing. Published via Towards AI

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