AWS Machine Learning Blog

OCTOBER 19, 2023

From ecommerce platforms encouraging customers to share product images to social media companies promoting user-generated videos and images, using user content for engagement is a powerful strategy. Many companies currently depend on human moderators or respond reactively to user complaints to manage inappropriate user-generated content.

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AWS Machine Learning Blog

SEPTEMBER 7, 2023

Offline reinforcement learning is a control strategy that allows industrial companies to build control policies entirely from historical data without the need for an explicit process model. Many traditional control strategies are based on predefined rules and models, which often require manual optimization.

Natural Language Processing 94

Natural Language Processing Machine Learning Algorithm Automation 94

Unite.AI

JANUARY 8, 2024

In this Writesonic review, I'll explain what Writesonic AI is and who it's best for. By the end, you'll know whether or not Writesonic is the best AI writer for you and whether or not it can truly get your article to #1 on Google! Who is Writesonic Best For? Could this be true? I wanted to try it and put this to the test!

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Marktechpost

JULY 1, 2023

Notion AI Users may quickly generate material like blog posts, meeting agendas, and sales letters with the help of the powerful AI-driven application Notion AI. Thanks to Zapier integration, Mem can instantly receive data from your other favorite apps. There’s a blog-building wizard that only takes 4 easy steps to complete.

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AWS Machine Learning Blog

OCTOBER 6, 2023

For instance, in an application that recommends movies, features could include previous ratings, preference categories, and demographics. Building on the concept of dynamically fetching up-to-date data to produce personalized content, the use of LLMs has garnered significant attention in recent research for recommender systems.

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Pickl AI

NOVEMBER 2, 2023

A cheat sheet for Data Scientists is a concise reference guide, summarizing key concepts, formulas, and best practices in Data Analysis, statistics, and Machine Learning. What are Cheat Sheets in Data Science? Here, we’ll explore why Data Science is indispensable in today’s world.

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Pickl AI

JUNE 25, 2023

With the large volume of data that we’re creating, it has become integral for companies to harness this information accurately and use it in strategizing their policies. In this blog, we are going to unfold the role of business analytics with examples and its scope in the future. Digitization has massively impacted the world.

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AWS Machine Learning Blog

MAY 5, 2023

To create this app, they need a high-quality dataset containing clothing images, labeled with different categories. In this post, we show how to repurpose an existing dataset via data cleaning, preprocessing, and pre-labeling with a zero-shot classification model in FiftyOne , and adjusting these labels with Amazon SageMaker Ground Truth.

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AWS Machine Learning Blog

FEBRUARY 24, 2023

For more information, refer to Preview: Use Amazon SageMaker to Build, Train, and Deploy ML Models Using Geospatial Data. Often these agencies are dealing with disaster imagery from low altitude and satellite sources, and this data is often unlabeled and difficult to use.

Computer Vision 85

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Pickl AI

MARCH 18, 2024

Summary Demystify data with MIS report in Excel! Learn to collect, format, and analyze data using effective formulas and PivotTables. Visualize trends with charts and craft clear, informative reports to empower data-driven decision making within your organization. Apply color-coding strategically to differentiate data sets.

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The MLOps Blog

JANUARY 18, 2023

Model monitoring for time series | Source In this article, we will explore the time series-forecasting model to understand how we can monitor it practically. I found that Corporación Favorita, a large Ecuadorian-based grocery retailer, has made their data available for us at Kaggle.

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Defined.ai blog

AUGUST 30, 2023

It’s akin to teaching machines to not merely recognize words but to respond to them in ways that mimic human understanding, forging connections that transcend mere data processing. Tips for Acquiring Quality NLP Datasets The journey to taking advantage of NLP through Machine Learning starts with high-quality data.

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Machine Learning NLP Natural Language Processing Data Mining 52

Ofemwire

MAY 7, 2023

From chatbots and personalization tools to marketing automation and predictive analytics, these tools can help businesses automate tasks, deliver personalized experiences, and make data-driven decisions. Predictive analytics tools In the world of online business, data is king. This is where content creation tools come in.

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The MLOps Blog

DECEMBER 19, 2022

As Data Scientists, we all have worked on an ML classification model. A Multiclass Classification is a class of problems where a given data point is classified into one of the classes from a given list. Classification is one of the most widely applied areas in Machine Learning. Let’s take a look at some of them.

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AWS Machine Learning Blog

AUGUST 3, 2023

Data classification, extraction, and analysis can be challenging for organizations that deal with volumes of documents. Features such as normalizing key fields and summarizing input data support faster cycles for managing document process workflows, while reducing the potential for errors.

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IBM Journey to AI blog

DECEMBER 20, 2023

ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. In other words, ML leverages input data to predict outputs, continuously updating outputs as new data becomes available.

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IBM Journey to AI blog

DECEMBER 4, 2023

Companies large and small are increasingly digitizing and managing vast troves of data. The software provides an integrated and unified platform for disparate business processes such as supply chain management and human resources , providing a holistic view of an organization’s operations and breaking down data silos.

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Allen AI

AUGUST 18, 2023

Today, we release our first data artifact in this project —  Dolma ¹, a dataset of 3 trillion tokens from a diverse mix of web content, academic publications, code, books, and encyclopedic materials. For more details, we also release a data sheet (Gebru et al, 2018) as initial documentation. Where should data come from?

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Auto-complete Large Language Models NLP Explainability 98

Dlabs.ai

MAY 19, 2023

We’ve even organized them into categories to help you find the most relevant tools for you. It also shines as an SEO assistant, aiding in creating meta-data for your article and suggesting the most effective keywords for your text. Welcome to the future of data organization and manipulation with SheetAI.

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Dlabs.ai

MAY 19, 2023

We’ve even organized them into categories to help you find the most relevant tools for you. It also shines as an SEO assistant, aiding in creating meta-data for your article and suggesting the most effective keywords for your text. Welcome to the future of data organization and manipulation with SheetAI.

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AI Tools AI AI ChatGPT 52

AWS Machine Learning Blog

NOVEMBER 22, 2023

It also provides guidance to tackle common challenges, enabling you to architect your IDP workloads according to best practices. The practices in this post can help you build and operate cost-aware IDP workloads that achieve business outcomes while minimizing costs and allowing your organization to maximize its return on investment.

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AWS Machine Learning Blog

JANUARY 6, 2023

The recently published IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment positions AWS in the Leaders category. The tools are typically used by data scientists and ML developers from experimentation to production deployment of AI and ML solutions. AWS position.

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Data Scientist ML Machine Learning Explainability 69

AWS Machine Learning Blog

OCTOBER 20, 2023

However, implementing security, data privacy, and governance controls are still key challenges faced by customers when implementing ML workloads at scale. Governing ML lifecycle at scale is a framework to help you build an ML platform with embedded security and governance controls based on industry best practices and enterprise standards.

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AWS Machine Learning Blog

DECEMBER 20, 2023

Ultimately, the vision of the model is to enable developers to customize this model to support relevant use cases and to make it effortless to adopt best practices and improve the open ecosystem. You can choose the model card to view details about the model such as license, data used to train, and how to use.

Machine Learning 101

Machine Learning Algorithm LLM ML 101

The MLOps Blog

JANUARY 5, 2023

To get started, it is my pleasure to introduce you to our guest, machine learning and data science engineer Kuba Cieslik. It might still be quite useful, but most of the time, this type of additional information that we want to gain from it, it needs new data and additional labels at least. Welcome, Kuba. Kuba: Sure. Hello, everyone.

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Computer Vision Machine Learning ML Explainability 52

Mlearning.ai

MAY 23, 2023

Hey guys, in this blog we will see some of the most asked Data Science Interview Questions by interviewers in [year]. Data science has become an integral part of many industries, and as a result, the demand for skilled data scientists is soaring. What is Data Science?

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The MLOps Blog

JANUARY 19, 2024

This post explores these questions, offering insights and strategies for selecting the best model and conducting efficient fine-tuning, even when resources are constrained. We’ll look at ways to reduce a model’s memory footprint, speed up training, and best practices for monitoring. The workflow we’ll implement.

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LLM Auto-complete Large Language Models Natural Language Processing 52

Heartbeat

JANUARY 25, 2023

Build and deploy your own sentiment classification app using Python and Streamlit Source:Author Nowadays, working on tabular data is not the only thing in Machine Learning (ML). Data formats like image, video, text, etc., They use the posts, comments, and threads to analyze the sentiment and recognize the emotion.

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AWS Machine Learning Blog

MARCH 1, 2023

The world we live in is rapidly changing, and so are the data and features that companies and customers use to train their models. This combination of great models and continuous adaptation is what will lead to a successful machine learning (ML) strategy. First, you gather data and prepare the dataset.

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AWS Machine Learning Blog

MAY 9, 2024

Verisk (Nasdaq: VRSK) is a leading data analytics and technology partner for the global insurance industry. FAST has earned a fourth consecutive leader ranking in the 2024 ISG Provider Lens report for its seamless integration with Verisk’s data, analytics, and claims tools.

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AWS Machine Learning Blog

MARCH 13, 2024

Recent advances in ML have given rise to a new class of models known as foundation models , which are typically trained on billions of parameters and are adaptable to a wide category of use cases, such as text summarization, generating digital art, and language translation. Let’s explore how you can use the Llama Guard model in JumpStart.

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Large Language Models LLM Machine Learning Python 106

Pickl AI

MAY 10, 2023

Machine Learning is a subset of Artificial Intelligence and Computer Science that makes use of data and algorithms to imitate human learning and improving accuracy. Being an important component of Data Science, the use of statistical methods are crucial in training algorithms in order to make classification.

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The MLOps Blog

OCTOBER 3, 2023

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals. Nice to have you here, Miki.

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The MLOps Blog

MAY 10, 2023

When working on real-world machine learning (ML) use cases, finding the best algorithm/model is not the end of your responsibilities. These practices are needed for a number of reasons: Backup: A trained model can be saved as a backup in case the original data is damaged or destroyed. Now let’s see how we can save our model.

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Python Metadata ML Deep Learning 106

TheSequence

JUNE 26, 2023

ML Architect at Zilliz, discusses vector databases and different indexing strategies for approximate nearest neighbor search. These vectors are meant to represent the semantics of unstructured data , i.e. data that cannot be fit into traditional databases such as relational databases, wide-column stores, or document databases.

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AWS Machine Learning Blog

JULY 31, 2023

It also enables you to evaluate the models using advanced metrics as if you were a data scientist. We explain the metrics and show techniques to deal with data to obtain better model performance. You start by training the model using existing data, and then ask the model to predict the outcome on data that it has not already seen.

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The MLOps Blog

MARCH 23, 2023

Even if you are fine-tuning an average-sized model for a large-scale application, you need to muster a huge amount of data. This article aims to provide some strategies, tips, and tricks you can apply to optimize your infrastructure while deploying them. 2 Different strategies to reduce the costs associated with these challenges.

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