Hacker News

JULY 1, 2025

I hold a Master’s in Computer Science and have published research in AI. I'm known in the Rails world for my writing (including a book) on the Hotwire stack. I have experience designing scalable data pipelines, building robust APIs, and integrating AI-driven solutions. I love software.

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AWS Machine Learning Blog

APRIL 30, 2025

Accor Group , a major hospitality company that developed a generative AI-powered booking application, showcased how, even when working with new technologies like generative AI, fundamental software development principles remain a must-have. He holds a PhD in Mathematics & Computer Science on large-scale data management.

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Flipboard

MAY 5, 2025

Semantic search improves accuracy by leveraging machine learning (ML), natural language processing (NLP), and vector search techniques to deliver more relevant, intent-driven results. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Thats not the case.

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How to Learn Machine Learning

MAY 9, 2025

Natural Language Processing : This model can capture semantic relationships between words and documents, helping computers understand language more like humans do. Summary The Deep Boltzmann Machine represents an awesome intersection of physics, statistics, and computer science.

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Data Science Dojo

JUNE 4, 2024

While the digital world promotes the use of machines to to learn and create new things, the need and importance of books has always remained constant. Hence, books on AI and other technological developments remain important for the basics and more. What is Meant by Books on AI?

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ODSC - Open Data Science

JUNE 9, 2023

1966: ELIZA In 1966, a chatbot called ELIZA took the computer science world by storm. Once a set of word vectors has been learned, they can be used in various natural language processing (NLP) tasks such as text classification, language translation, and question answering.

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Data Science Dojo

JULY 4, 2023

Discover Quality Resources : Explore a variety of resources like online courses, books, and tutorials. Their responsibilities can range from building chatbots and smart assistants with natural language processing (NLP) to developing internal algorithms and programs that help automate a company’s processes.

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Pickl AI

JANUARY 13, 2025

Summary: This curated list of 20 Artificial Intelligence books for beginners highlights foundational concepts, coding practices, and ethical insights. This blog highlights the 20 best Artificial Intelligence books tailored for newcomers, offering practical insights, ethical considerations, and real-world applications.

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AWS Machine Learning Blog

AUGUST 28, 2024

The RAG workflow enables you to use your document data stored in an Amazon Simple Storage Service (Amazon S3) bucket and integrate it with the powerful natural language processing (NLP) capabilities of foundation models (FMs) provided by Amazon Bedrock. He is passionate about developing ready-to-use solutions for the customers.

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PyImageSearch

JANUARY 1, 2024

Since our primary objective is to understand the content of the images, we specify our prompt to be: Describe these two images in detail, explain what is happening also mention the book and the author With that done, we can set the temperature to our liking and add any stop sequence. The initial information is accurate.

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AWS Machine Learning Blog

JUNE 18, 2024

This process must be repeated for every new document and entity type, making it impractical for processing large volumes of documents at scale. Her expertise is in building machine learning solutions involving computer vision and natural language processing for various industry verticals.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

An intelligent document processing (IDP) project usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific entities or phrases. She has extensive experience in machine learning with a PhD degree in computer science.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

An IDP project usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. She focuses on NLP-specific workloads, and shares her experience as a conference speaker and a book author.

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Applied Data Science

MARCH 11, 2022

. ⁍ Preface In 1986, Marvin Minsky , a pioneering computer scientist who greatly influenced the dawn of AI research, wrote a book that was to remain an obscure account of his theory of intelligence for decades to come. Language as a game: the field of Emergent Communication Firstly, what is language?

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Snorkel AI

MAY 24, 2023

Bush, and has co-authored several books on data science. Yoav Shoham is the Co-CEO and Co-Founder of AI21 Labs, a company that aims to create natural language understanding and natural language generation systems. He has published more than 100 papers and books on AI/ML, SOA, BPM, RPA, and other topics.

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Snorkel AI

MAY 24, 2023

Bush, and has co-authored several books on data science. Yoav Shoham is the Co-CEO and Co-Founder of AI21 Labs, a company that aims to create natural language understanding and natural language generation systems. He has published more than 100 papers and books on AI/ML, SOA, BPM, RPA, and other topics.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

She works with customers in EMEA and shares best practices for running AI/ML workloads on the cloud with her background in applied mathematics, computer science, and AI/ML. She focuses on NLP-specific workloads, and shares her experience as a conference speaker and a book author.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

An intelligent document processing (IDP) project usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. She focuses on NLP-specific workloads, and shares her experience as a conference speaker and a book author.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

An IDP pipeline usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. She focuses on NLP-specific workloads, and shares her experience as a conference speaker and a book author.

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AWS Machine Learning Blog

SEPTEMBER 12, 2023

By implementing a modern natural language processing (NLP) model, the response process has been shaped much more efficiently, and waiting time for clients has been reduced tremendously. She focuses on NLP-specific workloads, and shares her experience as a conference speaker and a book author.

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How to Learn Machine Learning

DECEMBER 15, 2024

Sale Why Machines Learn: The Elegant Math Behind Modern AI Hardcover Book Ananthaswamy, Anil (Author) English (Publication Language) 480 Pages - 07/16/2024 (Publication Date) - Dutton (Publisher) Buy on Amazon 3. Deep Learning Specialization Developed by deeplearning.ai

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ODSC - Open Data Science

FEBRUARY 14, 2023

Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI. They are designed to understand and generate human-like language by learning from a large dataset of texts, such as books, articles, and websites.

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AWS Machine Learning Blog

FEBRUARY 6, 2023

Contact centers are using artificial intelligence (AI) and natural language processing (NLP) technologies to build a personalized customer experience and deliver effective self-service support through conversational bots. Outside of work, she enjoys beach weekends, reading the latest fiction books, and family.

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DataRobot

AUGUST 3, 2021

Even though he uses the acronym “AI” in the title of his book, Joshua is the first to admit that it’s about as slippery a term as ever existed. Natural language processing used to be a dirty word because it didn’t really work. That alone makes him one of the main drivers of computer science.”.

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Heartbeat

OCTOBER 26, 2023

Earn a Bachelor’s Degree: To become an AI engineer, you will need at least a bachelor’s degree in computer science, mathematics, or a related field. Get Certified: AI engineers can become certified in various areas of AI technology, such as natural language processing, robotics, machine learning, and more.

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Flipboard

MARCH 27, 2023

Accelerating BERT A similar concept works for natural language processing (NLP) models like BERT. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or requires a degree in computer science? Models (e.g., file in our project directory.

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PyImageSearch

MARCH 4, 2024

Let’s break this down in a way that’ll make those brain gears happily spin without making you feel like you need a computer science degree to understand. Just like a parrot learns human language by listening and mimicking, an LLM has been trained on a mind-boggling amount of text data — code, books, articles, you name it!

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Ines Montani

FEBRUARY 8, 2017

I spent hours writing, designing and printing my own magazines, and I dreamt about one day becoming a journalist or book author. I started working with Matt , who had just released spaCy , an open-source library for Natural Language Processing.

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AWS Machine Learning Blog

AUGUST 14, 2023

Haystack FileConverters and PreProcessor allow you to clean and prepare your raw files to be in a shape and format that your natural language processing (NLP) pipeline and language model of choice can deal with. She focuses on NLP-specific workloads, and shares her experience as a conference speaker and a book author.

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AWS Machine Learning Blog

JULY 10, 2024

Solution overview Fine-tuning is a technique in natural language processing (NLP) where a pre-trained language model is customized for a specific task. to pay a booking fee and checked baggage fees."} ] } You can invoke the fine-tuned model using the same MessageAPI format, providing consistency.

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AWS Machine Learning Blog

MARCH 28, 2024

Based on the provided context, Amazon’s success can be attributed to its strategic expansion from a book-selling platform to a global marketplace with a vibrant third-party seller ecosystem, early investment in AWS, innovation in introducing the Kindle and Alexa, and substantial growth in annual revenue from 2019 to 2022.

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Dataconomy

MAY 2, 2023

By leveraging probability theory, machine learning algorithms can become more precise and accurate, ultimately leading to better outcomes in various applications such as image recognition, speech recognition, and natural language processing. How to become a machine learning engineer without a degree?

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

In computer science, a number can be represented with different levels of precision, such as double precision (FP64), single precision (FP32), and half-precision (FP16). The benchmark used is the RoBERTa-Base, a popular model used in natural language processing (NLP) applications, that uses the transformer architecture.

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PyImageSearch

SEPTEMBER 11, 2023

Recent progress toward developing such general-purpose “foundational models” has boomed the machine learning and computer vision community. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or requires a degree in computer science?

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PyImageSearch

SEPTEMBER 23, 2024

Brief Overview of Vision Transformers Vision Transformers (ViTs) have emerged as a transformative architecture in the domain of computer vision, introduced by Dosovitskiy et al. Originally designed for natural language processing, Transformers excel at capturing long-range dependencies within data. That’s not the case.

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AWS Machine Learning Blog

SEPTEMBER 6, 2023

Instruction tuning format In instruction fine-tuning, the model is fine-tuned for a set of natural language processing (NLP) tasks described using instructions. He holds PhD and MS degrees in Electrical Engineering from the University of Texas at Austin and an MS in Computer Science from Georgia Institute of Technology.

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AWS Machine Learning Blog

DECEMBER 17, 2024

We used common natural language processing (NLP) evaluation metrics, such as perplexity for evaluation and monitoring during training, and established daily feedback loops with the content team to refine the test set. We also tested out the Llama 2 7B and 70B models.

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