Flipboard

OCTOBER 9, 2023

This would include steps related to downloading certain components, performing some commands, and anything that you would do on a simple command line to configure everything from scratch. Now that we know what each component does, let’s start trying to build them from scratch with a random toy example. the image).

Machine Learning 116

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Mlearning.ai

APRIL 11, 2023

Determining which pixels belong to a specific object is a crucial task in image segmentation, with applications ranging from scientific image analysis to photo editing. By leveraging this technology, businesses can prevent defective parts from being shipped, which can significantly save costs and enhance customer satisfaction.

Algorithm 98

Algorithm Artificial Intelligence Artificial Intelligence AI 98

Towards AI

JULY 22, 2023

The math behind the Logistic Regression algorithm and implementation from scratch using Numpy. So, the prediction function is: Now that we have predictions from our model, we can compare them with the original target labels. To predict values in Logistic Regression, we pass our predictions to the sigmoid function.

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Towards AI

DECEMBER 28, 2023

The industry has evolved from relying on tools like SAS and R to placing a spotlight on data visualization tools like Tableau and PowerBI. NLP fundamentals — Under this, basics of NLP have to be learned, like tokenization, stemming, lemmatization, POS tagging, NER, Text representation- BOW, Word2vec, etc.

Natural Language Processing 107

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Dataconomy

OCTOBER 3, 2023

In a world where we frequently feel like we’re talking to computers, the chatbot promises a future when these encounters are practically indistinguishable from talking to a real person. Either log in with your Gmail account or create an account from scratch. Logging in with your Gmail account is just a 2-3 second hassle.)

AI 103

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AWS Machine Learning Blog

FEBRUARY 14, 2024

Lambda functions and the LangChain Framework When the Amazon Lex bot invokes the Lambda function, it sends an event message that contains bot information and the transcription of the utterance from the caller. We use XML tags to better improve the performance of the model. Put your thinking in tags before deciding on the intent.

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Dataconomy

JUNE 29, 2023

Gone are the days when developers had to painstakingly code every algorithm from scratch. These packages provide a foundation of pre-existing code and algorithms that can be readily used, allowing developers to focus on the specific requirements of their project rather than starting from scratch.

Machine Learning 113

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AWS Machine Learning Blog

JULY 3, 2023

In computer vision (CV), adding tags to identify objects of interest or bounding boxes to locate the objects is called labeling. Hundreds of thousands of work hours are spent generating high-quality labels from images and videos for various CV use cases. Active learning is another concept that is closely related to auto-labeling.

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The MLOps Blog

JANUARY 25, 2023

Sentiment analysis, commonly referred to as opinion mining/sentiment classification, is the technique of identifying and extracting subjective information from source materials using computational linguistics , text analysis , and natural language processing. Another approach is to translate the text from one language to another.

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Dataconomy

OCTOBER 24, 2023

These glass sheets are strategically stored on shelves, isolated from real-time internet connectivity. From the recent showcases, it’s evident that Project Silica has made significant strides. Whether scratched, baked in an oven, or boiled, its integrity remains uncompromised. Industry giants like Elire and Warner Bros.

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AWS Machine Learning Blog

OCTOBER 2, 2023

It is architected to automate the entire machine learning (ML) process, from data labeling to model training and deployment at the edge. Solution overview The sample use case used for this series is a visual quality inspection solution that can detect defects on metal tags, which could be deployed as part of a manufacturing process.

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Snorkel AI

MARCH 29, 2023

Adverse drug effects (ADE) can range from mild to severe, and can have significant impacts on patients’ health and well-being. In the example below, the keyword-based LF tags any span matching the word ‘lipitor’ as a drug. For example, SciBERT will tag certain tokens or words in a document as ‘DRUG.’

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Snorkel AI

MARCH 29, 2023

Adverse drug effects (ADE) can range from mild to severe, and can have significant impacts on patients’ health and well-being. In the example below, the keyword-based LF tags any span matching the word ‘lipitor’ as a drug. For example, SciBERT will tag certain tokens or words in a document as ‘DRUG.’

Machine Learning 52

Machine Learning Machine Learning Clustering Data Scientist 52

Flipboard

DECEMBER 6, 2023

This post is co-written with Stanislav Yeshchenko from Q4 Inc. We continue to see emerging challenges stemming from the nature of the assortment of datasets available. Even when using embeddings, the embeddings generated from numbers struggled with similarity ranking, and in many cases led to retrieving incorrect information.

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PyImageSearch

JANUARY 1, 2024

It also boasts of being multimodal from scratch, which means it began and ended as a model capable of dealing with multiple modalities of data (image, video, sound, etc.). They are two adjacent panels from Batman: The Dark Knight Returns by Frank Miller. We can name our prompt and provide a description of it.

Deep Learning 114

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Dataconomy

SEPTEMBER 18, 2023

AI song generators are reshaping the music industry, offering new tools for everyone from experts to beginners. It’s worth noting that the following list is not ranked from best to worst; rather, each tool has its own unique offerings that may suit your specific needs. An interface so intuitive, it almost reads your mind.

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Mlearning.ai

SEPTEMBER 4, 2023

It is also free (if you believe in such a concept) and frictionless (aside from creating an account). It promises corporate data “will not be used to train models by default,” perhaps easing privacy concerns from leaking proprietary business strategies, intellectual property, and personal user data to third parties. CA, NY, and MA).[1]

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AWS Machine Learning Blog

SEPTEMBER 14, 2023

It can be difficult to find insights from this data, particularly if efforts are needed to classify, tag, or label it. Personalized experiences – In contexts like website content, document categorization allows for tailored content to be shown to users based on their interests and preferences as determined from their browsing behavior.

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Alation

JULY 15, 2021

According to the latest report from Eckerson Group, Deep Dive on Data Catalogs , shoppers must match the goals of their organizations to the capabilities of their chosen catalog. Where do those suggestions come from? Many data catalog initiatives fail. A data catalog’s approach is key. People-centric Search.

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Hacker News

DECEMBER 3, 2023

A decade ago to the day, I published a tweet launching what would surely become yet another pet project that scratched an itch, was kinda useful to a few people but other than that, would shortly fade away into the same obscurity as all the other ones I'd launched over the previous couple of decades: It's alive! "Have

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Shreyansh Singh

JANUARY 23, 2022

A simple pip install -r requirements.txt from the [link] directory will install the other Python packages required. I had to scratch my head a lot though!) cd iris_classification docker build --tag iris_classification:latest. amazonaws.com docker tag iris_classification:latest 863244415814.dkr.ecr.us-east-1.amazonaws.com/iris_classification:latest

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AWS Machine Learning Blog

OCTOBER 2, 2023

Solution overview In Part 1 of this series, we laid out an architecture for our end-to-end MLOps pipeline that automates the entire machine learning (ML) process, from data labeling to model training and deployment at the edge. Deploy – Transfer of model and inference components from the cloud to the edge device.

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Women in Big Data

DECEMBER 13, 2023

On December 5th, 2023, Dr Sonal Khosla took us on a journey from where it all began to the most recent Generative AI. Dr Sonal Khosla (Speaker) holds a PhD in Computer Science with a specialization in Natural Language Processing from Symbiosis International University, India with publications in peer reviewed Indexed journals.

Natural Language Processing 52

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AWS Machine Learning Blog

MARCH 6, 2024

Proteins are the molecular machines of the body, responsible for everything from moving your muscles to responding to infections. Researchers have even used pLMs to design novel proteins from scratch. This technique is called fine-tuning , and also allows us to borrow advanced tools from other types of language modeling.

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phData

MAY 2, 2024

It is the answer to getting everything you need from your data platform and nothing you don’t. Ranging from comprehensive platform auditing to real-time monitoring and alerting, the Toolkit in combination with our team of experts leads the industry in FinOps for the modern data platform.

Cloud Data 52

Cloud Data Data Governance 52

Cambridge Intelligence

JUNE 21, 2023

Dave Bock, VP of Strategy, explained the purpose of Cyberscape: “Governments and businesses face threats from all directions. Here, analysts can start from scratch or pick up an existing investigation by another team looking at the same actors. The Core4ce Cyberscape platform Let’s take a closer look. The result? What’s next?

Data Silos 52

Data Silos Data Scientist Database Algorithm 52

Flipboard

JUNE 9, 2023

AI is assisting virtually every aspect of business, from advertising to content creation to customer service to virus detection. Akismet To prevent spam comments from ever reaching the pending state, the WordPress development team at Automattic created Akismet. To reiterate, only some plugins are perfect.

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Explosion

DECEMBER 13, 2021

we present a series of UD benchmarks comparable to the Stanza and Trankit evaluations on Universal Dependencies v2.5 , using the evaluation from the CoNLL 2018 Shared Task. The Stanza and Trankit numbers are copied from Trankit’s model performance overview. To demonstrate the performance of spaCy v3.2,

Python 52

Python 52

Iguazio

JANUARY 22, 2024

These include generating and classifying text, answering questions in a conversational manner and translating text from one language to another The Landscape: The Race to Open and Commercial LLMs As mentioned, GenAI is garnering industry-wide interest. For example, decoupling the LLM from the core architecture of systems.

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Snorkel AI

MARCH 14, 2023

Snorkel Flow easily deploys on Google Cloud infrastructure, ingests data from Google Cloud data sources, and integrates with Google Cloud’s AI and Data Cloud services. Labeling unstructured data for ML projects has traditionally involved humans tagging each data point manually.

AI 52

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Snorkel AI

MARCH 14, 2023

Snorkel Flow easily deploys on Google Cloud infrastructure, ingests data from Google Cloud data sources, and integrates with Google Cloud’s AI and Data Cloud services. Labeling unstructured data for ML projects has traditionally involved humans tagging each data point manually.

AI 52

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Snorkel AI

FEBRUARY 13, 2024

This lets developers get the same results they would get from an enormous model like GPT-4 at a lower cost and higher velocity—albeit only on that specific task. The technique suffers from four primary challenges: The student is limited by the teacher. What are the drawbacks of LLM distillation?

Data Scientist 52

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Snorkel AI

FEBRUARY 13, 2024

This lets developers get the same results they would get from an enormous model like GPT-4 at a lower cost and higher velocity—albeit only on that specific task. The technique suffers from four primary challenges: The student is limited by the teacher. What are the drawbacks of LLM distillation?

Data Scientist 52

Data Scientist Data Science AI AI 52

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. Comet is a robust platform that provides comprehensive functionality to streamline these stages.

ML 52

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AWS Machine Learning Blog

DECEMBER 12, 2023

Foundation models are pre-trained on a large and broad set of general data and are meant to serve as the foundation for further optimizations in a wide range of use cases, from generating digital art to multilingual text classification. On the Set description tag page, choose Create access key. Choose Done. Choose Deploy.

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Heartbeat

NOVEMBER 6, 2023

A quick recap about Apache Airflow from the previous article is that Apache Airflow is an open-source workflow management platform for managing data pipelines. The image below shows an example of DAG; the graph is directed, information flows from A throughout the graph, and it is acyclic since the info from A doesn't get back to A.

Data Pipeline 52

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Snorkel AI

JULY 19, 2023

This proof-of-concept only scratches the surface of what can be done to programmatically curate training data for generative AI. Meta reported collecting over a million inputs from paid annotators for Llama 2. These “weak labels” from labeling functions weren’t perfectly precise. Image generated using DALL-E.

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