IBM Data Science in Practice

JULY 5, 2023

You can see more details in part 1 on this topic. This article continues on the same topic as part 2. This is because the pod request setting is the metric used in the scheduling algorithm. You can see the same pattern based on no big gaps among the other 3 resource allocation metrics (average, max and min).

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Towards AI

FEBRUARY 16, 2024

My goto tool was a sunburst chartConversion Metrics: Many of you would have heard of… Read the full blog for free on Medium. Plotly has issues but overall, it can help you design very intricate and aesthetically amazing visualizations. One of the most underappreciated visuals in the Plotly library is sunburst charts.

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ML @ CMU

FEBRUARY 24, 2023

Few-Shot Text Classification For few-shot classification, we follow previous work and experiment on popular sentiment and topic classification tasks, using 16 examples per class for both training and validation. J(cdot)) is the main metric introduced in Table 2. right figure below). test accuracies over 5 trials. of our paper.

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Mlearning.ai

JANUARY 17, 2024

An interesting approach One algorithm of note focuses on topic classification by employing data compression algorithms. In the context of topic classification, we can measure the cross-entropy between, let’s say, a class c given a document d. As such, unless a task requires such complexity, it is better to use simple algorithms.

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Pickl AI

MARCH 26, 2024

Key considerations include optimal K value selection, appropriate distance metrics, and preprocessing techniques. KNN identifies the ‘K’ nearest data points (nearest neighbours) in the training set based on a chosen distance metric when a new data point is to be classified or predicted.

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ODSC - Open Data Science

JUNE 29, 2023

In this tutorial, we’ll introduce the concept of data logging and discuss how to validate data at scale by creating metric constraints and generating reports based on the data’s statistical profiles using the whylogs open-source package. In the next session, we will see how to perform data validation with Metric Constraints.

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IBM Journey to AI blog

NOVEMBER 29, 2023

Have insight into privacy-related metrics When differential privacy isn’t an option, business users should maintain a line of sight into privacy-related metrics, to help them comprehend the extent of their privacy exposure.

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Data Science Dojo

NOVEMBER 28, 2023

From the early benchmarks to the multifaceted metrics of today, we explore the nuanced evolution of evaluation methodologies. Introduction to large language models (LLMs) The advent of Large Language Models (LLMs) marks a transformative era in natural language processing, redefining the landscape of artificial intelligence.

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ODSC - Open Data Science

JANUARY 4, 2024

Trending Data Engineering Topics, the Top AI News from 2023, and Mapping Out the Top Open-Source LLM Frameworks 10 Data Engineering Topics and Trends You Need to Know in 2024 Let’s dive in and explore 10 data engineering trends that are expected to shape the industry in 2024 and beyond. But how do you ensure success and reliability?

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Towards AI

FEBRUARY 3, 2024

By Author In this post, you’ll learn about creating synthetic data, evaluating RAG pipelines using the Ragas tool, and understanding how various retrieval methods shape your RAG evaluation metrics. My journey with AI Makerspace’s LLMOps cohort (learn more here) has been instrumental in shaping my approach to these topics.

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ODSC - Open Data Science

MARCH 28, 2024

Join her for an exploration of that essential topic, troubleshooting. But, what is the best way to choose the correct metrics, fix errors, and deal with hallucinations? Every data scientist will run into issues and problems that they will have to troubleshoot.

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Towards AI

FEBRUARY 15, 2024

Minimap can synthesize a map of the dataspace through the lens of high-level topics. Evaluating RAG Metrics Across Different Retrieval Methods by Harpreet Sahota As we get exposed to the rapid development of advanced RAG methods, evaluating them to make an informed decision is crucial. It is a content cartography platform.

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DataRobot

AUGUST 25, 2021

This can be a challenging topic to navigate. A family of bias and fairness metrics in modeling describes the ways in which a model can perform differently for distinct groups in your data. The predictive parity bias metric looks at the raw accuracy score between groups: the percentage of the time the outcome is predicted correctly.

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Women in Big Data

APRIL 17, 2024

His ability to bridge the gap between complex topics and practical applications was truly invaluable. Evaluating Models: We discussed how to evaluate explanatory models (those that explain relationships) and predictive machine learning models (those that forecast future events) using appropriate metrics.

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AWS Machine Learning Blog

MARCH 21, 2023

In addition, they can view near real-time utilization metrics and create Amazon CloudWatch metrics to view and programmatically query SageMaker quotas. This architecture includes the following workflow: A CloudWatch metric monitors the usage of the resource. Choose Select metric. Select the metric you want to monitor.

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The MLOps Blog

FEBRUARY 5, 2023

sleep 10 Create Kafka topics – for training and testing data: ! bin/kafka-topics.sh --create --bootstrap-server 127.0.0.1 : 9092 --replication-factor 1 --partitions 1 --topic cancer-train ! split( "n" )[ 1 :])) Time to push the data to the Kafka topics we created earlier. kafka_2.13 -3.3.2 /bin/kafka-topics.sh

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Smart Data Collective

JUNE 7, 2021

During product development, they analyze the qualitative metrics to incorporate information from research and student feedback into the process of product designing. It is followed by BYJU’s delving into quantitative metrics to study student satisfaction at a large scale after the product has been launched.

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IBM Journey to AI blog

FEBRUARY 16, 2024

Subscribe for customer and employee experience topic updates Customer service vs. customer experience across the customer journey The simplest key difference between CX and customer service is that CX is concerned with meeting customer needs during the entire customer journey.

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Mlearning.ai

FEBRUARY 2, 2023

ii) Model issues  — Not choosing the right model which eventually results in underfitting or overfitting, discarding the insights from the model’s prediction and evaluating the model on wrong metrics are some of the major issues related to the model. See you with another interesting topic soon!

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AWS Machine Learning Blog

NOVEMBER 22, 2023

When you start processing by calling an asynchronous Start* operation, such as StartDocumentTextDetection , you can specify that the completion status of the request is published to an SNS topic in the NotificationChannel configuration. The metrics should include business metrics and technical metrics.

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O'Reilly Media

OCTOBER 30, 2023

To take one example, would we be better off with the medical or legal advice from an AI that was trained only with the hodgepodge of knowledge to be found on the internet, or one trained on the full body of professional information on the topic? Operational Metrics.

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AssemblyAI

NOVEMBER 7, 2023

For example, if we have a video of a virtual meeting, then video segmentation would involve determining the timestamps at which new topics are discussed in the meeting. Video segmentation is the process of splitting a video into semantically-isolated sections. YouTube implements video segmentation through its YouTube Chapters feature.

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ODSC - Open Data Science

MARCH 15, 2023

Our expert speakers will be sharing their insights and knowledge on a wide range of topics. You’ll also explore centrality metrics, networking density, various layout algorithms, and strategies for interpreting and communicating graph data. Check out a few of them below.

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AWS Machine Learning Blog

NOVEMBER 3, 2023

This new metric aims to shed light on the velocity behind these incredible goals, enhancing our understanding and appreciation of the game even further. These Lambda functions and Fargate containers then make this data available for further use in the appropriate MSK topics.

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Dataconomy

NOVEMBER 21, 2023

These best free LLMs can help you for various topics ( Image credit ) Best free LLMs: LLama-2 vs GPT-3.5 As we delve into the arena of free LLMs (language learning models), prepare to witness the astonishing power of these cutting-edge giants, revolutionizing communication and innovation without costing a cent.

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Towards AI

FEBRUARY 21, 2023

The average over ChatGPT metric suggestions, achieves on average 10.1% improvement in recall over our random sample, using a purely data-centric metric-driven approach. We test it on a practical problem in a modality of AI in which it was not trained, computer vision, and report the results. improvement in precision and 34.4%

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ODSC - Open Data Science

MARCH 22, 2023

To find out, we’ve taken some of the upcoming tutorials and workshops from ODSC East 2023 and let the experts via their topics guide us toward building better machine learning. While researchers have presented explanations for making AI less of a black box, a lack of metrics makes it hard to optimize explicitly for interpretability.

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Mlearning.ai

FEBRUARY 18, 2023

Discover key metrics to Identify the Importance of a Node in a Graph Graphs are useful data structures for r epresenting relationships between distinct entities. In this blog article, we will look at many metrics for determining the importance of a node in a graph.

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Data Science Dojo

JUNE 22, 2023

You can ensure this by researching the topics and formats that resonate with your target audience. In SEO analytics, you basically analyze the tracking traffic, bounce rate, and engagement metrics. Make sure the content of your post is what they are looking for.

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AWS Machine Learning Blog

MAY 9, 2024

Benchmarking and metrics – Defining standardized metrics and benchmarking to measure and compare the performance of AI models, and the business value derived. Setting KPIs and metrics is pivotal to gauge effectiveness. Performance management Setting KPIs and metrics is pivotal to gauge effectiveness.

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IBM Journey to AI blog

FEBRUARY 8, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

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Towards AI

AUGUST 9, 2023

Once inside the compare section, you can select the metrics or parameters you want to compare or visualize. Image By Author: Metrics & Parameters Alright, we’ve completed one experiment, but it didn’t turn out as expected, and that’s okay! You can filter the results based on metrics like accuracy and select the run id you need.

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Smart Data Collective

NOVEMBER 26, 2021

Data analytics make up the relevant key performance indicators ( KPIs ) or metrics necessary for a business to create various sales and marketing strategies. Consequently, you can make smarter decisions and hit your metrics and overall business goals. Data analytics refers to the systematic computational analysis of statistics or data.

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PyImageSearch

JANUARY 9, 2023

We will also discuss the various evaluation metrics to quantify the performance of our face recognition application in the final part of this series. The comparison is based on a similarity metric that we will discuss in detail later in the post.

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Pickl AI

AUGUST 1, 2023

Topic Modeling With text mining, it is possible to identify and categorize topics and themes within large collections of documents. Topic Modeling Topic modeling is a text-mining technique used to uncover underlying themes or topics within a large collection of documents.

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Heartbeat

JUNE 26, 2023

After that, we’ll track hyperparameters, monitor metrics and save the model with Comet ML. After finishing our project, this app will look like this: Cancer Detection App (Video by Author) Here are the topics we’ll cover in this blog: What are PyTorch-Lightning & Comet ML? First, we’ll build a deep-learning model with Lightning.

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Smart Data Collective

JANUARY 20, 2020

Moreover, blogging shouldn’t be about random topics but a process that needs intelligent execution to produce remarkable results. Needless to say, finding the right topic is probably the most difficult aspect of blogging. Blogging isn’t only about identifying the best topic and fine tuning the same with grammatical improvements.

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