Towards AI

MARCH 21, 2023

When I was younger, I was sure that ML could, if not overperform, at least match the pre-ML-era solutions almost everywhere. I’ve looked at rule constraints in deployment and wondered why not replace them with tree-based ml models. ML algorithms can improve their performance as more data is used for training.

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AWS Machine Learning Blog

SEPTEMBER 8, 2023

Publishers can have repositories containing millions of images and in order to save money, they need to be able to reuse these images across articles. Finding the image that best matches an article in repositories of this scale can be a time-consuming, repetitive, manual task that can be automated.

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Heartbeat

JULY 18, 2023

Source: Author Natural Language Processing (NLP) is a field of study focused on allowing computers to understand and process human language. There are many different NLP techniques and tools available, including the R programming language. keep_active: determines whether to keep the experiment active or not.

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Data Science Dojo

AUGUST 6, 2024

Their ability to uncover feature importance makes them valuable tools for various ML tasks, including classification, regression, and ranking problems. In this article, we will explore the fundamentals of boosting algorithms and their applications in machine learning.

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Data Science Dojo

SEPTEMBER 8, 2023

This article explores the fascinating applications of AI and Predictive Analytics in the field of engineering. Machine Learning and Deep Learning: The Power Duo Machine Learning (ML) and Deep Learning (DL) are two critical branches of AI that bring exceptional capabilities to predictive analytics. Streamline operations.

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Towards AI

SEPTEMBER 5, 2024

Featured Community post from the Discord Aman_kumawat_41063 has created a GitHub repository for applying some basic ML algorithms. Perfectlord is looking for a few college students from India for the Amazon ML Challenge. Our must-read articles 1. (shamelessly expecting a lot of them!) Learn AI Together Community section!

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Heartbeat

SEPTEMBER 20, 2023

Pixabay: by Activedia Image captioning combines natural language processing and computer vision to generate image textual descriptions automatically. This integration combines visual features extracted from images with language models to generate descriptive and contextually relevant captions.

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI. Which is also our topic today. Specifically, the paraphrasing of text with the help of AI.

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI. Which is also our topic today. Specifically, the paraphrasing of text with the help of AI.

Machine Learning 195

Machine Learning Machine Learning Algorithm AI 195

Dataconomy

JUNE 16, 2023

There are many reasons why you should employ an AI tool like this one, and in this article, we will discuss everything you need to know about it, including how to use it and how to benefit from it in your business! They do this by utilizing machine learning and natural language processing. How to use Gamme AI?

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Data Science 101

NOVEMBER 29, 2019

Amazon Athena and Aurora add support for ML in SQL Queries You can now invoke Machine Learning models right from your SQL Queries. Use Amazon Sagemaker to add ML predictions in Amazon QuickSight Amazon QuickSight, the AWS BI tool, now has the capability to call Machine Learning models.

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Towards AI

JULY 20, 2023

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

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Dataconomy

MARCH 27, 2023

Both have the potential to transform the way organizations operate, enabling them to streamline processes, improve efficiency, and drive business outcomes. However, while RPA and ML share some similarities, they differ in functionality, purpose, and the level of human intervention required. What is machine learning (ML)?

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The MLOps Blog

APRIL 5, 2023

In this comprehensive guide, we’ll explore the key concepts, challenges, and best practices for ML model packaging, including the different types of packaging formats, techniques, and frameworks. Best practices for ml model packaging Here is how you can package a model efficiently.

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Mlearning.ai

JULY 17, 2023

In today’s data-driven world, machine learning (ML) has become an indispensable tool for extracting valuable insights and making data-driven decisions. As a data scientist, staying ahead of the curve and continuously improving your skills is essential to tackle complex challenges in the field of ML. Happy learning!

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Mlearning.ai

MAY 31, 2023

With advancements in Natural Language Processing (NLP) and the introduction of models like ChatGPT, chatbots have become increasingly popular and powerful tools for automating conversations. In this article, we will explore the process of creating a simple chatbot using Python and NLP techniques.

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Towards AI

AUGUST 25, 2023

How to get started with an AI project Vackground on Unsplash Background Here I am assuming that you have read my previous article on How to Learn AI. What is AI Engineering AI Engineering is a new discipline focused on developing tools, systems, and processes to enable the application of artificial intelligence in real-world contexts [1].

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Data Science Connect

JULY 24, 2023

In this article, we explore the concept of Micro-SaaS and how it is moving beyond conventional solutions. Whether it’s data visualization, natural language processing, or predictive analytics, Micro-SaaS products are developed with a razor-sharp focus on providing the best-in-class solutions.

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Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. Evolution of NLP Models To understand the full impact of the above evolutionary process.

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Flipboard

JULY 4, 2023

These embeddings are the condensed versions of the training data that are produced as part of the ML process. With the incorporation of vector search capabilities, MongoDB enables developers to work with data analysis, recommendation systems, and Natural Language Processing.

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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. This article will explore how they're reshaping industries and engineering practices unimaginably. Indium Software Why AI and ML in Engineering?

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PyImageSearch

DECEMBER 11, 2023

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. The focus of his presentation was clear and forward-thinking: Accelerate AI/ML research and application.

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Mlearning.ai

MAY 5, 2023

However, these early systems were limited in their ability to handle complex language structures and nuances, and they quickly fell out of favor. In the 1980s and 1990s, the field of natural language processing (NLP) began to emerge as a distinct area of research within AI. Let’s create a community!

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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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Data Science Dojo

APRIL 18, 2024

Imagine a computer program that’s a whiz with words, capable of understanding and using language in fascinating ways. Large language models are powerful AI-powered language tools trained on massive amounts of text data, like books, articles, and even code. That’s essentially what an LLM is!

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AWS Machine Learning Blog

JUNE 26, 2024

Artificial intelligence and machine learning (AI/ML) technologies can assist capital market organizations overcome these challenges. Intelligent document processing (IDP) applies AI/ML techniques to automate data extraction from documents. He is a GenAI ambassador and a member of AWS AI/ML technical field community.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. NLTK is appreciated for its broader nature, as it’s able to pull the right algorithm for any job.

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The MLOps Blog

JUNE 27, 2023

To provide you with a comprehensive overview, this article explores the key players in the MLOps and FMOps (or LLMOps) ecosystems, encompassing both open-source and closed-source tools, with a focus on highlighting their key features and contributions. and Pandas or Apache Spark DataFrames.

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AWS Machine Learning Blog

JULY 3, 2024

Preparing the generative pipeline’s input data To generate accurate medical content, the LLM is provided with a set of curated scientific data related to the disease in question, e.g. medical journals, articles, websites, etc. These articles are chosen by brand managers, medical experts and other SMEs with adequate medical expertise.

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AWS Machine Learning Blog

MARCH 15, 2024

Medical data restrictions You can use machine learning (ML) to assist doctors and researchers in diagnosis tasks, thereby speeding up the process. However, the datasets needed to build the ML models and give reliable results are sitting in silos across different healthcare systems and organizations.

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Flipboard

FEBRUARY 11, 2025

This solution ingests and processes data from hundreds of thousands of support tickets, escalation notices, public AWS documentation, re:Post articles, and AWS blog posts. By using Amazon Q Business, which simplifies the complexity of developing and managing ML infrastructure and models, the team rapidly deployed their chat solution.

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Towards AI

AUGUST 16, 2023

In fact, AI/ML graduate textbooks do not provide a clear and consistent description of the AI software engineering process. Therefore, I thought it would be helpful to give a complete description of the AI engineering process or AI Process, which is described in most AI/ML textbooks [5][6].

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Dataconomy

DECEMBER 13, 2023

This article will explore how AI transforms supply chain operations and its beneficial effects on businesses. Chatbots and software can understand customer needs and provide customized solutions by leveraging natural language processing and machine learning.

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AWS Machine Learning Blog

APRIL 3, 2023

We also demonstrate how you can engineer prompts for Flan-T5 models to perform various natural language processing (NLP) tasks. Task Prompt (template in bold) Model output Summarization Briefly summarize this paragraph: Amazon Comprehend uses natural language processing (NLP) to extract insights about the content of documents.

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ODSC - Open Data Science

MAY 22, 2023

Hilpisch | The AI Quant | CEO The Python Quants & The AI Machine, Adjunct Professor of Computational Finance This session will cover the essential Python topics and skills that will enable you to apply AI and Machine Learning (ML) to Algorithmic Trading. You will explore questions like: What are the different types of ML algorithms?

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Smart Data Collective

JULY 24, 2023

This article will delve into the transformative potential of AI in Vendor Management Systems, and how it’s setting the stage for a more strategic, intelligent, and efficient approach to procurement. Natural Language Processing (NLP) is another powerful tool, used to facilitate communication between humans and machines.

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Towards AI

OCTOBER 19, 2024

It’s particularly useful in natural language processing [3]. These massive models, from OpenAI and others, can process and generate human-like text, but understanding their decision-making process is far from straightforward [7]. For more articles on AI in business, feel free to explore my Medium profile.

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