Tableau

DECEMBER 11, 2020

This month, as always, the community has shared many super tips and tricks to improve your ability to master Tableau, but there has been a great set of posts on all the other career development “stuff” that you mustn’t ignore if you want to succeed. . Follow me on Twitter and LinkedIn as I try and share many of these throughout the month.

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Heartbeat

FEBRUARY 28, 2024

However, running experiments, tracking their progress, and sharing results can be challenging, especially in interdisciplinary teams. As a result, keeping track of experiments and sharing findings with team members is critical. Collaboration : Share experiments with team members, making it a collaborative hub for your ML projects.

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Tableau

JUNE 30, 2021

We believe that data can be a powerful resource in both identifying the experiences and challenges of people whose voices we may not normally hear and help create the necessary programs, policies, and resources needed to ensure these same people are not left behind. Looking back at a year of listening, dialog, and action.

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Data Science Dojo

OCTOBER 10, 2023

These events are not just knowledge-sharing platforms; they’re an educational hub, offering hands-on opportunities to enhance your skills and prepare for the future of work. Generative AI can be used to create data visualizations and other forms of data storytelling that are more effective and engaging than traditional methods.

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AWS Machine Learning Blog

DECEMBER 14, 2023

Text-to-image generation is a rapidly growing field of artificial intelligence with applications in a variety of areas, such as media and entertainment, gaming, ecommerce product visualization, advertising and marketing, architectural design and visualization, artistic creations, and medical imaging.

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AWS Machine Learning Blog

NOVEMBER 8, 2023

Enable the JupyterLab v3 extension and install Imjoy-jupyter-extension if you want to visualize medical images on SageMaker notebook interactively using itkwidgets. Different models can be served in a shared container on the same fleet of resources. We prepared a model_handler.py get("body").decode('UTF8') dkr.ecr.{}.amazonaws.com/{}:dev".format(

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Mlearning.ai

JANUARY 26, 2024

Something that I can share with my children in the years ahead. They were able to enjoy both visually and in audio format the wonderful stories of my Dad’s childhood. I wanted to build a pipeline of story to visual and auditory elements. This means I need for the stories to be visually expressive.

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AWS Machine Learning Blog

JULY 6, 2023

We also deep dive into the most common architectures and AWS resources to facilitate these integrations. The open-source Custom Connector SDK enables the development of a private, shared, or public connector using Python or Java. SageMaker Canvas provides a no-code visual interface for training ML models.

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DataRobot Blog

OCTOBER 18, 2022

As AI-driven use cases increase, the number of AI models deployed increases as well, leaving resource-strapped data science teams struggling to monitor and maintain this growing repository. “We The demo sparked an ideal reaction from the retailer, who emphasized that such changes will “completely change” how his team spends their time.

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AWS Machine Learning Blog

JUNE 8, 2023

The open-source SageMaker Distribution supports the most common packages and libraries for data science, ML, and visualization, such as TensorFlow, PyTorch, Scikit-learn, Pandas, and Matplotlib. The full notebook for this example is available in the SageMaker Studio Lab examples repository. This feature is currently in public beta.

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phData

JUNE 26, 2023

Snowflake Resources Another key element that has been instrumental in securing this award is phData’s substantial contributions to the Snowflake community. Below are five of our most popular/requested Snowflake resources: Getting Started with Snowflake What is Snowpark and Why Does it Matter? Explore the phData Toolkit More!

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Heartbeat

SEPTEMBER 7, 2023

Think of it as a meticulously organized lab notebook, but one that can handle the complexity of modern ML workflows. Visualization Tools : Visualizing your experiments’ progress is a breeze with Comet. It provides interactive charts and visualizations to help you gain insights into your model’s behavior.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

The AI asset development starts in a lab environment, where the data is collected and curated, and then the models are trained and validated. It should be designed to scale horizontally and vertically to meet increasing demands seamlessly while providing central resource management.

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Mlearning.ai

AUGUST 18, 2023

Instead of conducting experiments in the lab, technicians can run tests using technology thus saving time and money. These measures allow for data-driven resource allocation and timely treatments. Data-driven insights can facilitate better resource allocation, reduce manual errors, and impact population health management.

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DagsHub

APRIL 21, 2024

Source: [link] Model monitoring and observability in machine learning include monitoring key metrics such as prediction accuracy , latency, throughput, and resource utilization, as well as detecting anomalies, drift, and concept shifts in the data distribution. Similar to Git, DVC is also an open-source tool that has no licensing cost.

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AWS Machine Learning Blog

FEBRUARY 9, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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AWS Machine Learning Blog

JULY 24, 2023

In this post, we share best practices to deploy deep learning models with FastAPI on AWS Inferentia NeuronCores. The host vCPUs and the system memory are shared across all available NeuronCores. As specified earlier, the NeuronCores share the available host vCPUs and system memory. He has a Ph.D.

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Hacker News

JANUARY 9, 2024

Despite tremendous progress on robot-learning algorithms, without abundant data we still can’t enable robots to perform real-world tasks (like making breakfast) outside the lab. As more labs engage in cross-embodiment research, we hope to further push the frontier on what is possible with a single neural network that can control many robots.

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Dataconomy

APRIL 25, 2023

This is more than double the valuation of $14 billion that OpenAI had in 2021 when it completed a tender offer for existing shares. ChatGPT stands for “Chat Generative Pre-trained Transformer” The soaring valuation of OpenAI reflects the growing demand and potential of ChatGPT and other AI products that the lab is developing.

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Dataconomy

JUNE 8, 2023

Moreover, AI technology empowers doctors to delve deep into patients’ lab reports, scans, and medical records, enabling the development of highly customized treatment plans at a micro level. Having a tireless assistant with you is the only thing that can reduce the share of human error to almost zero.

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The MLOps Blog

JUNE 27, 2023

This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics. Collaboration and version control : Support collaboration among data and ML teams, allowing them to share code, models, and experiments.

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AWS Machine Learning Blog

MARCH 1, 2023

This post is co-written with Suhyoung Kim, General Manager at KakaoGames Data Analytics Lab. In this post, we share how Kakao Games and the Amazon Machine Learning Solutions Lab teamed up to build a scalable and reliable LTV prediction solution by using AWS data and ML services such as AWS Glue and Amazon SageMaker.

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IBM Journey to AI blog

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks. To bridge the tuning gap, watsonx.ai

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Heartbeat

DECEMBER 27, 2023

In computing, virtualization creates a virtual copy of a physical IT infrastructure and resources such as hardware, application storage, network, desktop/Operating system (OS), data, CPU/GPU, and simulates functionality. However, in reality, all the containers share the host kernel. What is Docker? Why Use Docker for Machine Learning?

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AWS Machine Learning Blog

FEBRUARY 5, 2024

This system is dependent not only on human factors, but also on technology and resources to collect disease data, analyze patterns, and create a consistent and continuous stream of data transfer from local to regional to central health authorities. It then applies one or more models to the retrieved images.

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AWS Machine Learning Blog

MARCH 14, 2024

Building large language models (LLMs) from scratch or customizing pre-trained models requires substantial compute resources, expert data scientists, and months of engineering work. With Amazon Bedrock, your content is not used to improve the base models and is not shared with third-party model providers.

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Heartbeat

MARCH 8, 2023

R’s ability to handle large volumes of text data, ease of data pre-processing, and visualization abilities are among its text categorization strengths. This package provides functions for fitting topic models, such as Latent Dirichlet Allocation (LDA), and it also provides methods for visualizing and interpreting the results.

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Snorkel AI

OCTOBER 12, 2023

In this presentation, center NLP Engineer James Dunham shares takeaways from the half-dozen project teams who used Snorkel in the past year. Meanwhile, Travis shares insights from his work, demonstrating how open-source innovation fosters faster, easier, and more collaborative development.

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Google Research AI blog

FEBRUARY 28, 2023

Sharing knowledge is essential to Google’s research philosophy — it accelerates technological progress and expands capabilities community-wide. Solving complex problems requires bringing together diverse minds and resources collaboratively. classes, and a new all-in-one visualization tool for better data exploration.

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Snorkel AI

OCTOBER 12, 2023

In this presentation, center NLP Engineer James Dunham shares takeaways from the half-dozen project teams who used Snorkel in the past year. Meanwhile, Travis shares insights from his work, demonstrating how open-source innovation fosters faster, easier, and more collaborative development.

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Google Research AI blog

AUGUST 3, 2023

When providing care, clinicians routinely interpret data from a wide range of modalities including medical images, clinical notes, lab tests, electronic health records, genomics, and more. But how do we bring these capabilities together to build medical AI systems that can leverage information from all these sources?

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The MLOps Blog

JANUARY 23, 2023

In this article, I share how our reality as the MLOps tooling company and my personal views on MLOps agree (and disagree) with it. As Shreya Shankar shared in her “Thoughts on ML Engineering After a Year of my PhD” , you may not need model monitoring. Feature transformation and dataset preprocessing with dbt labs. I don’t know.

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ML Review

JUNE 4, 2018

Readers are encouraged to view the piece through our website for the best experience: [link] Part One: Visual Speech Recognition (Lip Reading) Part Two: Image Captioning (From Translation to Attention) Feedback and comments are welcomed, either through medium or directly to info@themtank.com. Thanks for reading! 2014)[ 73 ] and Donahue et al.

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Flipboard

FEBRUARY 7, 2023

Amazon SageMaker Studio Lab provides no-cost access to a machine learning (ML) development environment to everyone with an email address. Team members from FNLCR and Kitware collaborated to create a series of Jupyter notebooks that demonstrate common workflows to programmatically access and visualize TCIA data.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

And so, it’s not surprising that some of the most well-known generative AI startups like AI21 Labs, Anthropic, Hugging Face, Perplexity AI, Runway, and Stability AI run on AWS. SageMaker now helps customers deploy multiple models to the same instance so that they can share compute resources—reducing inference cost by 50% (on average).

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading providers like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, along with a broad set of capabilities that customers need to build generative AI applications, simplifying development while maintaining privacy and security.

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phData

NOVEMBER 13, 2023

Welcome to the lowdown on the Coalesce Conference, where the data community’s pulse thumps at its strongest, hosted by dbt Labs. Lineage Graph Visualization: Offers interactive lineage graphs of project DAGs, with color-coded nodes and iconography for different resource types, which can be zoomed, panned, and explored in detail.

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