Dataconomy

JUNE 14, 2023

With this invaluable guide, we unravel the intriguing capabilities of Janitor AI API, demonstrating how its seamless integration, model training, performance evaluation, and continuous monitoring can be harnessed to unlock a new era of interactive communication and efficient data management. What is Janitor AI?

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Dataconomy

JULY 4, 2023

It’s also about using AI and ML to gain insights into your data and make better decisions. It also involves utilizing the valuable data generated and collected through digital processes to make better business decisions in a timely manner. Do you want to revolutionize your business operations and boost productivity?

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Explosion

FEBRUARY 15, 2023

As many large financial institutions push to use Natural Language Processing (NLP) to digitize their customer support channels, smaller financial institutions like credit unions and community banks are having a tough time to keep pace. Posh Technologies is a Boston, Massachusetts-based conversational AI and NLP technology development company.

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Google Research AI blog

MARCH 30, 2023

The key to both is a deeper understanding of ML data — how to engineer training datasets that produce high quality models and test datasets that deliver accurate indicators of how close we are to solving the target problem. Despite the importance of data, ML research to date has been dominated by a focus on models.

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Towards AI

FEBRUARY 3, 2024

From Predicting the behavior of a customer to automating many tasks, Machine learning has shown its capacity to convert raw data into actionable insights. Even though converting raw data into actionable insights, it is not determined by ML algorithms alone. NLP Project: Speech recognition, chatbots, ….

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Becoming Human

MAY 15, 2023

When it comes to AI, there are a number of subfields, like Natural Language Processing (NLP). One of the models used for NLP is the Large Language Model (LLMs). As a result, LLMs have become a key tool for a wide range of NLP applications. This data comes everywhere, including articles, blogs, news sites, and journals.

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AWS Machine Learning Blog

MARCH 25, 2024

Some customers entrust Amazon Transcribe with data that is confidential and proprietary to their business. In other cases, audio content processed by Amazon Transcribe may contain sensitive data that needs to be protected to comply with local laws and regulations. For more information about data privacy, see the Data Privacy FAQ.

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ML @ CMU

FEBRUARY 24, 2023

TL;DR : Prompting enables large language models (LLMs) to perform various NLP tasks without changing the model. Prompting has emerged as a promising approach to solving a wide range of NLP problems using large pre-trained language models (LMs), including left-to-right models such as GPT s and masked LMs such as BERT , RoBERTa , etc.

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Heartbeat

OCTOBER 23, 2023

Revolutionizing Healthcare through Data Science and Machine Learning Image by Cai Fang on Unsplash Introduction In the digital transformation era, healthcare is experiencing a paradigm shift driven by integrating data science, machine learning, and information technology.

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Dataconomy

JUNE 29, 2023

These libraries, with their rich functionalities and comprehensive toolsets, have become the backbone of data science and machine learning practices. Some machine learning packages focus specifically on deep learning, which is a subset of machine learning that deals with neural networks and complex, hierarchical representations of data.

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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. Every day, companies generate and collect vast amounts of data, ranging from customer information to market trends.

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Towards AI

MAY 20, 2023

The transformative potential of training large LLMs with domain-specific data. Organizations are undergoing a significant shift by actively looking into the development of their own custom large language models (LLMs) to address the increasing demand for greater control, data privacy, and cost-effective solutions.

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Towards AI

APRIL 21, 2024

In this study, for example, the authors train their model with textual data from the web pages. And while humans like us might understand the words or images on a webpage, a computer can only work with this data when it comes in numbers. So how do we combat this? Blacklists. In fact, almost 1.5 Feature generation.

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Snorkel AI

AUGUST 22, 2023

However, we have thousands of tags and building models for these tags requires a large amount of labeled data for training and highly curated ground truth data for evaluation. We have cross-posted it here, edited only to fit Snorkel’s formatting guidelines. This allows us to provide targeted search results to our customers.

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Snorkel AI

AUGUST 22, 2023

However, we have thousands of tags and building models for these tags requires a large amount of labeled data for training and highly curated ground truth data for evaluation. We have cross-posted it here, edited only to fit Snorkel’s formatting guidelines. This allows us to provide targeted search results to our customers.

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IBM Journey to AI blog

JANUARY 25, 2024

Yet many AI creators are currently facing backlash for the biases, inaccuracies and problematic data practices being exposed in their models. This is not an opinion; it has empirical validity. These issues require more than a technical, algorithmic or AI-based solution. Consider the diversity prediction theorem.

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ODSC - Open Data Science

MARCH 30, 2023

Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a GPU to a Container Using Azure ML to Train a Serengeti Data Model for Animal Identification In this article, we will cover how you can train a model using Notebooks in Azure Machine Learning Studio. Register now for 40% off. Report: U.S.

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AWS Machine Learning Blog

JANUARY 17, 2023

In this solution, we train and deploy a churn prediction model that uses a state-of-the-art natural language processing (NLP) model to find useful signals in text. In addition to textual inputs, this model uses traditional structured data inputs such as numerical and categorical fields. Extract and analyze data from documents.

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DagsHub

APRIL 1, 2024

Embeddings are capable of condensing a huge volume of textual data that encapsulates both semantic and syntactic meanings. As obvious as it is, training an embedding model will require a lot of data, computing power, and time as well. But how do they do it? So, let’s get started! Additionally, it increases the risk of overfitting.

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ODSC - Open Data Science

AUGUST 11, 2023

Building a Data-Driven Workforce Dominic Bohan | Co-Founder Story | IQ This session will explore how you can equip your entire team with the essential descriptive analytics skill to free up your data experts for more vital work. Whatever your experience level, we have expert-led workshops, tutorials, and talks for you.

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ODSC - Open Data Science

AUGUST 24, 2023

Accelerating Decisions with Third-Party Data in Financial Services On-Demand Webinar Your ability to make confident decisions based on relevant factors relies on accurate data filled with context. That’s why enriching your analysis with trusted, fit-for-use, third-party data is key to ensuring long-term success.

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Mlearning.ai

MARCH 26, 2023

Embark on Your Data Science Journey through In-Depth Projects and Hands-on Learning Photo by Wes Hicks on Unsplash Data science, as an emerging field, is constantly evolving and bringing forth innovative solutions to complex problems. I’ve handpicked a few Kaggle projects covering a range of data science concepts.

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Dataconomy

MARCH 13, 2023

Key concepts of AI The following are some of the key concepts of AI: Data:  AI requires vast amounts of data to learn and improve its performance over time. The quality and quantity of data are crucial for the success of an AI system. Algorithms:  AI algorithms are used to process the data and extract insights from it.

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Dataconomy

DECEMBER 1, 2023

Utilizing advanced natural language processing (NLP) algorithms, Quizbot.ai empowers individuals and organizations to create engaging quizzes, conduct personalized assessments, and gain valuable insights from learner performance data. Utilizing advanced natural language processing (NLP) algorithms, Quizbot.ai Quizbot.ai

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ODSC - Open Data Science

FEBRUARY 15, 2024

By exposing the model to domain-specific data, you can improve its performance on tasks related to that domain. This integration of LLMs with comprehensive driving data sets marks a significant step towards more intelligent, aware, and responsive autonomous vehicles, potentially revolutionizing the future of transportation.

Data Science 52

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Explosion

NOVEMBER 28, 2023

Prodigy is a developer annotation tool designed for creating and refining training data for machine learning models. Prodigy is a developer annotation tool designed for creating and refining training data for machine learning models. A full list of supported models can be found on spacy-llm docs , and you can even hook up your own.

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ODSC - Open Data Science

AUGUST 15, 2023

Advancements in data science and AI are coming at a lightning-fast pace. To help you stay ahead of the curve, ODSC APAC this August 22nd-23rd will feature expert-led training sessions in both data science fundamentals and cutting-edge tools and frameworks. Check out a few of them below.

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Pickl AI

JULY 26, 2023

Understanding these concepts is paramount for any data scientist, machine learning engineer, or researcher striving to build robust and accurate models. Gender Bias in Natural Language Processing (NLP) NLP models can develop biases based on the data they are trained on.

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ODSC - Open Data Science

DECEMBER 28, 2023

Top 10 Pre-Trained Models for Image Embedding Every Data Scientist Should Know This article walks through the top 10 state-of-the-art pre-trained models to get started with image embedding. Learn more about these experts shaping the future of machine learning, generative AI, LLMs, MLOps, NLP, and more. We now have a podcast!

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Mlearning.ai

JULY 31, 2023

MLOps extends DevOps by including data science practices, like model training and data preprocessing. Challenges in Deploying Machine Learning Models in Production It’s crucial to keep track of different versions of machine learning models, including the code, data, and settings used, to ensure we can reproduce the same results.

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IBM Journey to AI blog

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. NLP techniques help them parse the nuances of human language, including grammar, syntax and context.

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Pickl AI

AUGUST 7, 2023

However, the most complex and expensive type of Machine Learning trend in use is Labelled Data. They require human expertise to tell a machine about the different data types to help Artificial Intelligence learn it. Both labeled and unlabeled data are used in Machine Learning for different purposes. How does Data Labelling Work?

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Smart Data Collective

JUNE 29, 2022

Artificial intelligence is also adept at data processing and analytics, both useful tools for financial applications. Interpreting data to generate valuable insights on analytics for consumers can help users improve their financial habits and achieve their financial goals easily. OCR for Processing Receipts and Invoices.

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Towards AI

AUGUST 16, 2023

Model-centric vs Data-centric There are currently two approaches to AI/ML (model-centric vs data-centric) that are mutually exclusive. Either you are letting the dataset drive model selection (data-centric) or you are not (model-centric). In real-world applications, the focus should be on the data-centric approach.

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Mlearning.ai

JUNE 28, 2023

I came up with an idea of a Natural Language Processing (NLP) AI program that can generate exam questions and choices about Named Entity Recognition (who, what, where, when, why). Preprocess Input Text Before I started collecting data to fine-tune the model. There will be a lot of tasks to complete. Are you ready to explore?

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How to Learn Machine Learning

JANUARY 21, 2023

With the advent of artificial intelligence (AI) and natural language processing (NLP) , creating a virtual personal assistant has become more achievable than ever before. Creating a virtual personal assistant starts with understanding the basics of AI and NLP.

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IBM Journey to AI blog

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

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