Heartbeat

MARCH 14, 2024

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionary technologies with the potential to transform the field of engineering. The synergy between engineering and AI/ML creates unprecedented opportunities for efficiency, cost reduction, and innovation. Indium Software Why AI and ML in Engineering?

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Hacker News

JULY 18, 2024

ABOUT EVENTUAL Eventual is a data platform that helps data scientists and engineers build data applications across ETL, analytics and ML/AI. Eventual and Daft bridge that gap, making ML/AI workloads easy to run alongside traditional tabular workloads. This is more compute than Frontier, the world's largest supercomputer!

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Heartbeat

FEBRUARY 6, 2023

How do Object Detection Algorithms Work? There are two main categories of object detection algorithms. Two-Stage Algorithms: Two-stage object detection algorithms consist of two different stages. Single-stage object detection algorithms do the whole process through a single neural network model.

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Data Science Dojo

SEPTEMBER 25, 2024

By leveraging AI-powered algorithms, media producers can improve production processes and enhance creativity. Some key benefits of integrating the production process with AI are as follows: Personalization AI algorithms can analyze user data to offer personalized recommendations for movies, TV shows, and music.

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ODSC - Open Data Science

APRIL 18, 2023

Now, we’d like to go a bit deeper and specifically examine the role of machine learning in algorithmic trading, including portfolio optimization and pattern recognition. Finance and algorithmic trading aren’t just up to numbers, as the market fluctuates based on news and trends in social media.

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Analytics Vidhya

APRIL 19, 2023

OpenAI, the tech startup known for developing the cutting-edge natural language processing algorithm ChatGPT, has warned that the research strategy that led to the development of the AI model has reached its limits.

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Google Research AI blog

FEBRUARY 7, 2023

The explosion in deep learning a decade ago was catapulted in part by the convergence of new algorithms and architectures, a marked increase in data, and access to greater compute. Below, we highlight a panoply of works that demonstrate Google Research’s efforts in developing new algorithms to address the above challenges.

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Pickl AI

SEPTEMBER 7, 2023

When you start exploring more about Machine Learning, you will come across the Gradient Boosting Algorithm. Basically, it is a powerful and versatile machine-learning algorithm that falls under the category of ensemble learning. Machine Learning models can leave you spellbound by their efficiency and proficiency.

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PyImageSearch

DECEMBER 11, 2023

The sessions were packed with interesting talks on a variety of topics, and the networking events were a great way to meet new people and make connections. Kicking Off with a Keynote The second day of the Google Machine Learning Community Summit began with an inspiring keynote session by Soonson Kwon, the ML Community Lead at Google.

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Pickl AI

OCTOBER 18, 2023

How to Scale Your Data Quality Operations with AI and ML: In the fast-paced digital landscape of today, data has become the cornerstone of success for organizations across the globe. The Significance of Data Quality Before we dive into the realm of AI and ML, it’s crucial to understand why data quality holds such immense importance.

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AWS Machine Learning Blog

MAY 8, 2024

They focused on improving customer service using data with artificial intelligence (AI) and ML and saw positive results, with their Group AI Maturity increasing from 50% to 80%, according to the TM Forum’s AI Maturity Index. Concurrently, the ensemble model strategically combines the strengths of various algorithms.

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Towards AI

JULY 17, 2023

Apriori algorithm is the most sought-after tool when it comes to conducting Market Basket Analysis. A note from the authors Dear readers, before you go through our article, please be informed that we assume that you have a general idea about Market Basket Analysis and the Apriori algorithm. Thank you for your time and interest!

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The MLOps Blog

APRIL 5, 2023

In this comprehensive guide, we’ll explore the key concepts, challenges, and best practices for ML model packaging, including the different types of packaging formats, techniques, and frameworks. Best practices for ml model packaging Here is how you can package a model efficiently.

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Heartbeat

JANUARY 24, 2023

If you have a set of hyperparameters with a range of values, then you could use an algorithm that attempts multiple combinations of hyperparameters and rates the performance using evaluation metrics. For this reason, multiple popular platforms and algorithms have arisen depending on the level of complexity of a problem.

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Flipboard

NOVEMBER 21, 2024

Define the text generation configuration AutoMLV2 automates the entire ML process, from data preprocessing to model training and deployment. This configuration acts as a guide, helping SageMaker Autopilot understand the nature of your problem and select the most appropriate algorithm or approach.

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Towards AI

FEBRUARY 21, 2023

In the most speculative scenarios, the fear (or hope depending on who you ask) is that the sophistication, power, and complexity of our models will eventually breach an event horizon of breakaway intelligence, where the system develops the capability to iteratively self-improve both it’s core functionality and it’s own ability to self-improve.

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Heartbeat

MAY 2, 2023

Deep learning is based in algorithms, which are mathematical operations that let computers learn from data and get better over time. In this article, we will examine some different popular deep learning algorithms and how they operate. Learn more about building effective ML teams with our free ebook.

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ODSC - Open Data Science

JUNE 23, 2023

It is given that organizations should have an effective way of managing all information about their security and be capable of addressing security events as they arise. That’s why since its introduction in 2005, security information and event management (SIEM) has been regarded as a vital component of cybersecurity.

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Heartbeat

SEPTEMBER 18, 2023

Unleashing Innovation and Success: Comet — The Trusted ML Platform for Enterprise Environments Machine learning (ML) is a rapidly developing field, and businesses are increasingly depending on ML platforms to fuel innovation, improve efficiency, and mine data for insights.

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AWS Machine Learning Blog

JUNE 22, 2023

Over 500 machine events are monitored in near-real time to give a full picture of machine conditions and their operating environments. Light & Wonder teamed up with the Amazon ML Solutions Lab to use events data streamed from LnW Connect to enable machine learning (ML)-powered predictive maintenance for slot machines.

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ODSC - Open Data Science

JANUARY 27, 2023

Ten Game-Changing Generative AI Projects, The Quest for the Ultimate Learning Algorithm, and Training Your PyTorch Model Top Ten Game-Changing Generative AI Projects in 2023 Here are our picks for a few generative AI projects that are worth checking out for yourself, most of which you can experiment with for free.

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ODSC - Open Data Science

APRIL 13, 2023

How to Use Machine Learning for Algorithmic Trading Machine learning has proven to be a huge boon to the finance industry. Here, we’d like to go a bit deeper and specifically examine the role of machine learning in algorithmic trading, including portfolio optimization and pattern recognition. Final ODSC East 2023 Schedule Released!

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IBM Journey to AI blog

AUGUST 12, 2024

AIOPs refers to the application of artificial intelligence (AI) and machine learning (ML) techniques to enhance and automate various aspects of IT operations (ITOps). ML technologies help computers achieve artificial intelligence. However, they differ fundamentally in their purpose and level of specialization in AI and ML environments.

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Dataconomy

FEBRUARY 22, 2023

Human triumphs over AI in Go match In a surprising turn of events, a human player has triumphed over a top-ranked AI system in the complex board game of Go, demonstrating a previously unknown flaw in the best Go computer programs, according to Financial Times. Of course, like any technology, machine learning is not infallible.

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How to Learn Machine Learning

SEPTEMBER 6, 2024

AI for cybersecurity leverages AI ML services to assess and correlate events and security threats across multiple sources and turn them into actionable insights that the security team uses for further assessment, response, and reporting. AI uses machine learning algorithms to consistently learn the data that the system assesses.

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Mlearning.ai

FEBRUARY 10, 2024

Unlocking Predictive Power: How Bayes’ Theorem Fuels Naive Bayes Algorithm to Solve Real-World Problems [link] Introduction In the constantly shifting realm of machine learning, we can see that many intricate algorithms are rooted in the fundamental principles of statistics and probability. Take the Naive Bayes algorithm, for example.

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Analytics Vidhya

JUNE 10, 2024

Seasonal changes, festivals, and cultural events often bring about these variances. Introduction Trends that repeat themselves over days or months are called seasonality in time series. Understanding these patterns is essential since they greatly influence corporate results and decision-making.

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Heartbeat

DECEMBER 21, 2023

Uncovering the Power of Comet Across the Data Science Journey Photo by Nguyen Le Viet Anh on Unsplash Machine learning (ML) projects are usually complicated and include several stages, from data discovery to model implementation. This article will dive into steps to see how you can use Comet at different stages of ML projects.

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AWS Machine Learning Blog

JUNE 26, 2024

Artificial intelligence and machine learning (AI/ML) technologies can assist capital market organizations overcome these challenges. Intelligent document processing (IDP) applies AI/ML techniques to automate data extraction from documents. We built the solution using the event-driven principles as depicted in the following diagram.

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Heartbeat

MARCH 6, 2023

Image classification is a computer vision task that allows algorithms to understand an image’s contents and assign one or more categories to the image. Ensure you have your API key from your Comet ML account, then create a .comet.yml First, let’s create a custom function to log losses to Comet ML after each step.

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Towards AI

JULY 23, 2024

Let us delve into machine learning-powered change detection, where innovative algorithms and spatial analysis combine to completely revolutionize how we see and react to our ever-changing surroundings. Why Using Change detection ML is important for Spatial Analysis. Geospatial and statistical data are analyzed in GIS change detection.

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Heartbeat

FEBRUARY 15, 2023

These algorithms can perform sentiment analysis, create spam filters, and other applications. plot(history) Make sure you log the training loss and accuracy metrics to Comet ML. In addition, we logged some metrics like loss, accuracy, and epochs to Comet ML’s platform. We pay our contributors, and we don’t sell ads.

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AWS Machine Learning Blog

JANUARY 5, 2024

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models.

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AWS Machine Learning Blog

OCTOBER 10, 2023

Machine learning (ML), especially deep learning, requires a large amount of data for improving model performance. It is challenging to centralize such data for ML due to privacy requirements, high cost of data transfer, or operational complexity. The ML framework used at FL clients is TensorFlow.

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ODSC - Open Data Science

FEBRUARY 17, 2023

ChatGPT: The Google Killer, Distributed Training with PyTorch and Azure ML, and Many Models Batch Training Distributed Training with PyTorch and Azure ML Continue reading to learn the simplest way to do distributed training with PyTorch and Azure ML.

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ODSC - Open Data Science

FEBRUARY 10, 2023

Faster Training and Inference Using the Azure Container for PyTorch in Azure ML If you’ve ever wished that you could speed up the training of a large PyTorch model, then this post is for you. In this post, we’ll cover the basics of this new environment, and we’ll show you how you can use it within your Azure ML project.

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The MLOps Blog

NOVEMBER 30, 2022

These days enterprises are sitting on a pool of data and increasingly employing machine learning and deep learning algorithms to forecast sales, predict customer churn and fraud detection, etc., Data science practitioners experiment with algorithms, data, and hyperparameters to develop a model that generates business insights.

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