ODSC - Open Data Science

FEBRUARY 15, 2023

Warmup sessions include Data Primer Course — March 2, 2023 SQL Primer Course — March 14, 2023 Programming Primer Course with Python — April 6, 2023 AI Primer Course — April 26, 2023 Bootcamp Orientation In March and April, we will be offering virtual orientation sessions. Check them out below.

Data Science 90

Data Science NLP Python Machine Learning 90

ODSC - Open Data Science

APRIL 10, 2023

Introduction to scikit-learn: Machine Learning in Python Thomas J. Intermediate Machine Learning with scikit-learn: Pandas Interoperability, Categorical Data, Parameter Tuning, and Model Evaluation Thomas J. Topics covered include Pandas interoperability, categorical data, parameter tuning, and model evaluation.

Software Engineer 52

Software Engineer Categorization Data Science Machine Learning 52

John Snow Labs

APRIL 22, 2024

While large language models (LLMs) have demonstrated impressive capabilities in various natural language processing (NLP) tasks, their performance in this domain has been limited by the inherent complexities of medical language and the nuances involved in interpreting clinical narratives.

NLP 64

NLP Categorization Natural Language Processing BERT 64

ODSC - Open Data Science

MARCH 13, 2023

They are experts in machine learning, NLP, deep learning, data engineering, MLOps, and data visualization. He also operates his own Python and data science consultancy and corporate training business. Leonardo De Marchi also provides consultancy and training in NLP for small and large companies.

Data Science 80

Data Science Software Engineer Deep Learning Machine Learning 80

Towards AI

FEBRUARY 13, 2023

A practical guide on how to perform NLP tasks with Hugging Face Pipelines Image by Canva With the libraries developed recently, it has become easier to perform deep learning analysis. Hugging Face is a platform that provides pre-trained language models for NLP tasks such as text classification, sentiment analysis, and more.

Auto-classification 91

Auto-classification NLP Auto-complete Computer Vision 91

ODSC - Open Data Science

AUGUST 17, 2023

Past courses have included An Introduction to Data Wrangling with SQL Programming with Data: Python and Pandas Introduction to Machine Learning Introduction to Math for Data Science Introduction to Data Visualization During the conference itself, you’ll have your choice of any of ODSC West’s training sessions, workshops, and talks.

Data Science 52

Data Science Python NLP Machine Learning 52

ODSC - Open Data Science

MARCH 20, 2023

Confirmed sessions include: Self-Supervised and Unsupervised Learning for Conversational AI and NLP NLP Fundamentals Applying Responsible AI with Open-Source Tools And more to come soon!

Data Science 98

Data Science NLP Categorization Python 98

ODSC - Open Data Science

AUGUST 8, 2023

Pre-Bootcamp On-Demand Training Before the conference, you’ll have access to on-demand, self-paced training on core skills like Python, SQL, and more from some of our acclaimed instructors.

Data Science 52

Data Science Deep Learning Machine Learning Python 52

John Snow Labs

OCTOBER 19, 2023

Natural language processing (NLP) is a critical branch of artificial intelligence devoted to understanding and generating natural language. However, NLP systems are susceptible to biases, often mirroring the prejudices found in their training data. How to use the LangTest library to evaluate LLM for bias using CrowS-Pairs dataset?

BERT 52

BERT Natural Language Processing NLP Categorization 52

IBM Journey to AI blog

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data. What is text mining?

Convolutional Neural Networks 144

Convolutional Neural Networks Data Mining Categorization Machine Learning 144

Heartbeat

FEBRUARY 8, 2023

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Deep Learning 52

Heartbeat

MARCH 8, 2023

Heartbeat these past few weeks has had lots of great articles covering the latest research, NLP use-cases, and Comet tutorials. Happy Reading, Emilie, Abby & the Heartbeat Team Natural Language Processing With SpaCy (A Python Library) — by Khushboo Kumari This post goes over how the most cutting-edge NLP software, SpaCy , operates.

Convolutional Neural Networks 40

Convolutional Neural Networks Neural Network Natural Language Processing Deep Learning 40

Artificial Corner

JUNE 18, 2023

ChatGPT released by OpenAI is a versatile Natural Language Processing (NLP) system that comprehends the conversation context to provide relevant responses. Question Answering has been an active research area in NLP for many years so there are several datasets that have been created for evaluating QA systems.

ChatGPT 105

ChatGPT Natural Language Processing BERT NLP 105

NVIDIA Developer

JUNE 2, 2021

Applications for natural language processing (NLP) have exploded in the past decade. With the proliferation of AI assistants and organizations infusing their businesses with more interactive human-machine experiences, understanding how NLP techniques can be used to manipulate, analyze, and generate text-based data is essential.

Natural Language Processing 40

Natural Language Processing Neural Network Deep Learning BERT 40

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. Solution overview. Sentence transformer.

Categorization 70

Categorization BERT Machine Learning Neural Network 70

Pragnakalp

APRIL 10, 2023

It can extract key information and categorize them into relevant sections. appeared first on Pragnakalp Techlabs: AI, NLP, Chatbot, Python Development. Powered by OpenAI’s ChatGPT language model, Resume Parser can analyze and interpret resumes with remarkable precision. Revolutionize your hiring process today!

ChatGPT 52

ChatGPT Categorization NLP Automation 52

John Snow Labs

SEPTEMBER 4, 2023

Often in Natural Language Processing (NLP), we often judge a model’s success based on how accurate it is. Imagine a ship sailing through rough waters — that’s the kind of test we’re talking about for NLP models. LangTest LangTest is an open-source Python library that facilitates the evaluation of NLP models.

NLP 52

NLP Natural Language Processing Python Categorization 52

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.

Chatbots 59

Chatbots NLP Data Scientist OpenAI 59

Pragnakalp

MAY 1, 2024

There are plenty of voices available, categorized by age, scenarios, language, and gender, among others. The post Best AI Lip Sync Generators (Paid) in 2024: A comprehensive guide appeared first on Pragnakalp Techlabs: AI, NLP, Chatbot, Python Development. Cons: It requires the image to be of a specific size with fixed pixels.

AI 59

AI AI NLP Natural Language Processing 59

Explosion

NOVEMBER 16, 2021

I’ve been using spaCy for a few years now, as I did a lot of NLP projects both during my studies and previous work. This year, spaCy released v3 and introduced a more convenient system for NLP projects. Then, we’ll look into spaCy projects , and see how it abstracts our configuration and NLP workflow as a whole.

NLP 52

NLP Python Machine Learning Software Engineer 52

Heartbeat

JUNE 22, 2023

Natural language processing (NLP) can help with this. In this post, we’ll look at how natural language processing (NLP) may be utilized to create smart chatbots that can comprehend and reply to natural language requests. What is NLP? Sentiment analysis, language translation, and speech recognition are a few NLP applications.

NLP 59

NLP Chatbots Natural Language Processing Machine Learning 59

Mlearning.ai

APRIL 6, 2023

Real-world batch inference use cases NLP: Batch inference can be used in applications such as text classification, sentiment analysis, language translation, and text summarization. For example, a company may enrich documents in bulk to translate documents, identify entities and categorize those documents, etc.

ML 52

ML BERT Python NLP 52

John Snow Labs

DECEMBER 26, 2023

Sentiment analysis, a branch of natural language processing (NLP), has evolved as an effective method for determining the underlying attitudes, emotions, and views represented in textual information. PyTorch Implementation of LSTM Now, let’s delve into the implementation of a simple LSTM model using the PyTorch framework in Python.

Neural Network 52

Neural Network Computational Linguistics Natural Language Processing NLP 52

Explosion

OCTOBER 1, 2019

Better Dutch NER with 20 categories Our friends at NLP Town have been making some great contributions to spaCy’s Dutch support. includes several usability improvements to the training and data development workflow , especially for text categorization. These tables were stored as Python files, and in some cases became quite large.

Categorization 59

Categorization NLP Algorithm Natural Language Processing 59

Explosion

AUGUST 1, 2019

Huge transformer models like BERT, GPT-2 and XLNet have set a new standard for accuracy on almost every NLP leaderboard. It features consistent and easy-to-use interfaces to several models, which can extract features to power your NLP pipelines. In this post we introduce our new wrapping library, spacy-transformers.

BERT 52

BERT NLP Neural Network Categorization 52

NLP For Hackers

SEPTEMBER 8, 2018

Recently we also started looking at Deep Learning, using Keras , a popular Python Library. On this blog, we’ve already covered the theory behind POS taggers: POS Tagger with Decision Trees and POS Tagger with Conditional Random Field. You can get started with Keras in this Sentiment Analysis with Keras Tutorial.

Categorization 52

Categorization Deep Learning Natural Language Processing NLP 52

The MLOps Blog

JANUARY 18, 2023

There is a target feature, static categorical features, time-varying known categorical features, time-varying known real features, and time-varying unknown real features. It combines the transformer architecture, which is commonly used for NLP tasks. Other features include sales numbers and supplementary information.

Data Drift 52

Data Drift Categorization Deep Learning ML 52

ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out his talk, “ Bagging to BERT — A Tour of Applied NLP ,” there! If a Natural Language Processing (NLP) system does not have that context, we’d expect it not to get the joke. I’ll be making use of the powerful SpaCy library which makes swapping architectures in NLP pipelines a breeze. It’s all about context!

Deep Learning 98

Deep Learning Convolutional Neural Networks Neural Network NLP 98

Artificial Corner

AUGUST 29, 2023

After that, we can proceed with preprocessing the data such as encoding categorical variables and scaling our numerical variables. The number of samples will be equal to the number of samples of booking completed. The new distribution will be equal as such.

Natural Language Processing 97

Natural Language Processing Machine Learning Data Analysis Categorization 97

Heartbeat

MARCH 8, 2023

Source: Author Introduction Text classification, which involves categorizing text into specified groups based on its content, is an important natural language processing (NLP) task. It also provides a wide range of packages and features designed specifically for NLP and text classification. Curious to see how Comet works?

Machine Learning 52

Machine Learning Algorithm Categorization NLP 52

Explosion

JUNE 18, 2021

In this blog post, I’m going to discuss some of the biggest challenges for applied NLP and translating business problems into machine learning solutions. This blog post is based on talks I gave at the “Teaching NLP” workshop at NAACL 2021 and the L3-AI online conference. I call this “Applied NLP Thinking”. So where do you start?

NLP 52

NLP Machine Learning Natural Language Processing DevOps 52

AWS Machine Learning Blog

SEPTEMBER 14, 2023

Amazon Comprehend is a natural-language processing (NLP) service that uses machine learning to uncover valuable insights and connections in text. Knowledge management – Categorizing documents in a systematic way helps to organize an organization’s knowledge base. Amazon Comprehend custom classification can be useful in this situation.

Categorization 95

Categorization Machine Learning Data Scientist Natural Language Processing 95

AWS Machine Learning Blog

APRIL 17, 2023

The custom transform feature supports Python, PySpark, and SQL as different steps in code snippets. NLTK is a leading platform for building Python programs to work with human language data. You can create a custom transform using Pandas, PySpark, Python user-defined functions, and SQL PySpark. Choose Python (Pandas).

Python 83

Python ML Machine Learning Natural Language Processing 83

AWS Machine Learning Blog

APRIL 25, 2024

Calculate a ROUGE-N score You can use the following steps to calculate a ROUGE-N score: Tokenize the generated summary and the reference summary into individual words or tokens using basic tokenization methods like splitting by whitespace or natural language processing (NLP) libraries.

BERT 108

BERT NLP Algorithm Neural Network 108

Snorkel AI

MAY 25, 2023

At its debut, BERT shattered the records for a suite of NLP benchmark tests. Within a short time, BERT became the standard tool for NLP tasks. From 2018 to the modern day, NLP researchers have engaged in a steady march toward ever-larger models. That size is quaint according to modern comparisons.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

At its debut, BERT shattered the records for a suite of NLP benchmark tests. Within a short time, BERT became the standard tool for NLP tasks. From 2018 to the modern day, NLP researchers have engaged in a steady march toward ever-larger models. That size is quaint according to modern comparisons.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Unite.AI

AUGUST 4, 2023

It enables an array of NLP applications such as virtual assistants, content generators, question-answering systems, and more, to solve a range of real-world problems. The Python example below showcases a ReAct pattern. They can decide to pass calculations to a calculator or Python interpreter depending on the situation.

Prompt Engineer 245

Prompt Engineer Prompt Engineering Python NLP 245