AWS Machine Learning Blog

FEBRUARY 7, 2024

In the first post of this three-part series, we presented a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. Choose Create event type. The following screenshot shows our event type details.

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PyImageSearch

DECEMBER 4, 2023

Home Table of Contents ML Days in Tashkent — Day 1: City Tour Arriving at Tashkent! This blog is the 1st of a 3-part series: ML Days in Tashkent — Day 1: City Tour (this tutorial) ML Days in Tashkent — Day 2: Sprints and Sessions ML Days in Tashkent — Day 3: Demos and Workshops ML Days in Tashkent — Day 1: City Tour Arriving at Tashkent!

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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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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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Data Science Dojo

SEPTEMBER 8, 2023

Descriptive analytics involves summarizing historical data to extract insights into past events. Diagnostic analytics goes further, aiming to uncover the root causes behind these events. ML encompasses a range of algorithms that enable computers to learn from data without explicit programming. Streamline operations.

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DataRobot Blog

JUNE 1, 2022

Join DataRobot and leading organizations June 7 and 8 at DataRobot AI Experience 2022 (AIX) , a unique virtual event that will help you rapidly unlock the power of AI for your most strategic business initiatives. Join the virtual event sessions in your local time across Asia-Pacific, EMEA, and the Americas. Join DataRobot AIX June 7–8.

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Google Research AI blog

APRIL 7, 2023

As part of Google's Crisis Response and our efforts to address the climate crisis , we are using machine learning (ML) models for Flood Forecasting to alert people in areas that are impacted before disaster strikes. Frederik Kratzert (Research Scientist at Google) provided an overview of the Caravan project (below).

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Iguazio

AUGUST 14, 2023

As ML models become increasingly complex and integral to critical decision-making processes, ensuring their optimal performance and reliability has become a paramount concern for technology leaders. What is Observability in ML? What is Model Monitoring?

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Dataconomy

MAY 2, 2023

What do machine learning engineers do: ML engineers design and develop machine learning models The responsibilities of a machine learning engineer entail developing, training, and maintaining machine learning systems, as well as performing statistical analyses to refine test results. Is ML engineering a stressful job?

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Analytics Vidhya

MARCH 21, 2024

Introduction Conferences, bootcamps, and events with thousands of gatherings might sound overwhelming, but they are beneficial for connecting with like-minded individuals. Participating in these events can lead to valuable collaborations, friendships, and personal growth.

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Mlearning.ai

MARCH 15, 2023

San Francisco has a ton of events but unfortunately residents have to really look hard to find events on a weekly basis. Most events can be found on venue websites or on free event posting sites. I scraped event information from SF Fun Cheap, Eventbrite, and 19hz (an EDM and techno focused SF music event page).

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Mlearning.ai

JUNE 10, 2023

Survival analysis is a statistical methodology designed to analyze time-to-event data, providing valuable insights into the time it takes… Continue reading on MLearning.ai »

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AWS Machine Learning Blog

DECEMBER 12, 2023

This new workforce requires rapid reskilling and understanding of disruptive services such as artificial intelligence (AI) and machine learning (ML) to drive meaningful outcomes. In this post, we share how Vodafone is advancing its ML skills using AWS DeepRacer and Accenture. Why is machine learning important to Vodafone?

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Data Science Dojo

JANUARY 13, 2023

The Gartner Data and Analytics Summit is considered as a leading event for professionals in the data and analytics field. 4. AI and Big Data Expo North America – California, United States AI and Big Data Expo North America is a technology event that focuses on artificial intelligence (AI) and big data.

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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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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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Mlearning.ai

APRIL 6, 2023

Automate and streamline our ML inference pipeline with SageMaker and Airflow Building an inference data pipeline on large datasets is a challenge many companies face. SageMaker Batch Job Allows you to run batch inference on large datasets and generate predictions in a batch mode using machine learning (ML) models hosted in SageMaker.

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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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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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Heartbeat

JUNE 26, 2023

A guide to performing end-to-end computer vision projects with PyTorch-Lightning, Comet ML and Gradio Image by Freepik Computer vision is the buzzword at the moment. Today, I’ll walk you through how to implement an end-to-end image classification project with Lightning , Comet ML, and Gradio libraries.

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Flipboard

NOVEMBER 28, 2023

While it might be easier to start looking at an individual machine learning (ML) model and the associated risks in isolation, it’s important to consider the details of the specific application of such a model and the corresponding use case as part of a complete AI system. In this post, we focus on AI system risk, primarily.

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AWS Machine Learning Blog

JANUARY 10, 2024

ML Engineer at Tiger Analytics. The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. Model developers often work together in developing ML models and require a robust MLOps platform to work in.

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Heartbeat

JANUARY 24, 2023

I will now get to the technical details of hyperparameter tuning and experiment tracking on comet ml by making parallels with Optuna for simple migration. Requirements There are a few requirements that you’d need before you begin: A Comet ML account An installation of Jupyter Notebook or a Google Colab account Python 3.9.X

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Heartbeat

JUNE 5, 2023

Without proper tracking, optimization, and collaboration tools, ML practitioners can quickly become overwhelmed and lose track of their progress. Comet’s integrations are modular and customizable, enabling teams to incorporate new approaches and tools to their ML platforms. This is where Comet comes in.

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AWS Machine Learning Blog

FEBRUARY 6, 2024

Pharmaceutical companies sell a variety of different, often novel, drugs on the market, where sometimes unintended but serious adverse events can occur. These events can be reported anywhere, from hospitals or at home, and must be responsibly and efficiently monitored.

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Heartbeat

MARCH 6, 2023

model %>% compile( optimizer = 'adam', loss = 'sparse_categorical_crossentropy', metrics = c('accuracy') ) Monitoring Before you start training, you’ll need to integrate Comet ML’s R package by adding the following code block. Ensure you have your API key from your Comet ML account, then create a .comet.yml

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ODSC - Open Data Science

MAY 24, 2023

Building a Business with a Real-Time Analytics Stack, Streaming ML Without a Data Lake, and Google’s PaLM 2 Building a Pizza Delivery Service with a Real-Time Analytics Stack The best businesses react quickly and with informed decisions. Here’s a use case of how you can use a real-time analytics stack to build a pizza delivery service.

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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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Heartbeat

FEBRUARY 15, 2023

exp <- create_experiment( keep_active = TRUE, log_output = TRUE, log_error = FALSE, log_code = TRUE, log_system_details = TRUE, log_git_info = TRUE ) Next, you need to specify the number of epochs you want to train the network and log it using Comet ML. plot(history) Make sure you log the training loss and accuracy metrics to Comet ML.

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ODSC - Open Data Science

APRIL 13, 2023

4 Reasons Why Declarative ML Makes Sense for Engineers In this blog post, we’re going to cover Ludwig, an open-source declarative ML framework, and four reasons why this approach makes sense for every engineer interested in ML. Final ODSC East 2023 Schedule Released! Check out some more highlights in the full schedule here!

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AWS Machine Learning Blog

APRIL 17, 2023

Machine learning (ML) plays a crucial role in detecting fraud because it can quickly and accurately analyze large volumes of data to identify anomalous patterns and possible fraud trends. In ML, a lack of significant historical data to train a model is called the cold start problem. For Cold Start models, this is no different.

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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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Flipboard

MARCH 17, 2023

Presented by Supermicro/NVIDIA Fast time to deployment and high performance are critical for AI, ML and data analytics workloads in an enterprise. In this VB Spotlight event, learn why an end-to-end AI platform is crucial in delivering the power, tools and support to create AI business value.

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Heartbeat

MARCH 28, 2023

A complete guide to building a deep learning project with PyTorch, tracking an Experiment with Comet ML, and deploying an app with Gradio on HuggingFace Image by Freepik AI tools such as ChatGPT, DALL-E, and Midjourney are increasingly becoming a part of our daily lives. This is when Comet ML comes into play. Installing comet_ml # !pip

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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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Women in Big Data

DECEMBER 12, 2023

The Bay Area Chapter of Women in Big Data (WiBD) was thrilled to host a panel discussion on Career transition to Data Science, Artificial Intelligence (AI), Machine Learning (ML) and Big Data and opportunities. Marilena brings in high energy to teams and has been organizing events for Women in Big Data. She has a Ph.D.

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ODSC - Open Data Science

AUGUST 3, 2023

ML for Big Data with PySpark on AWS, Asynchronous Programming in Python, and the Top Industries for AI Harnessing Machine Learning on Big Data with PySpark on AWS In this brief tutorial, you’ll learn some basics on how to use Spark on AWS for machine learning, MLlib, and more. You Can Now Watch the Generative AI Summit On-Demand Here!

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