ODSC - Open Data Science

MARCH 18, 2025

Session 2: Bayesian Analysis of Survey Data: Practical Modeling withPyMC Unlock the power of Bayesian inference for modeling complex categorical data using PyMC. This session takes you from logistic regression to categorical and ordered logistic regression, providing practical, hands-on experience with real-world surveydata.

Data Science 64

Data Science Machine Learning Software Engineer Data Scientist 64

Mlearning.ai

DECEMBER 21, 2023

Design patterns in software engineering are typical solutions to common problems in software design. They represent best practices, evolved over time, and are a toolkit for software developers to solve common problems efficiently. Source: Image by the Author What are Design Patterns? How to Get Started?

Software Engineer 52

Software Engineer Software Development DevOps Algorithm 52

Unite.AI

AUGUST 22, 2023

We at Algolia call this the AI search sandwich: Query understanding: Algolia’s advanced natural language understanding (NLU) and AI-driven vector search provide free-form natural language expression understanding and AI-powered query categorization that prepares and structures a query for analysis.

Big Data 246

Big Data Neural Network Natural Language Processing Machine Learning 246

ODSC - Open Data Science

FEBRUARY 6, 2023

Advanced Gradient Boosting: Probabilistic Regression and Categorical Structure Brian Lucena | Principal | Numeristical Join this hands-on training to learn some of the more advanced, cutting-edge techniques for gradient boosting.

Data Science 98

Data Science Categorization Data Scientist Deep Learning 98

AWS Machine Learning Blog

NOVEMBER 14, 2024

Model risk : Risk categorization of the model version. Madhubalasri is dedicated to driving innovation in ML governance and optimizing model management processes Saumitra Vikaram is a Senior Software Engineer at AWS. Keshav Chandak is a Software Engineer at AWS with a focus on the SageMaker Repository Service.

ML 91

ML Machine Learning Auto-complete Auto-classification 91

Towards AI

AUGUST 25, 2023

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]. In a nutshell, AI Engineering is the application of software engineering best practices to the field of AI. Bourque and R.

Machine Learning 98

Machine Learning Software Engineer Neural Network Data Science 98

AWS Machine Learning Blog

APRIL 11, 2024

Organizations across industries want to categorize and extract insights from high volumes of documents of different formats. Categorizing documents is an important first step in IDP systems. Manually processing these documents to classify and extract information remains expensive, error prone, and difficult to scale.

IDP 122

IDP Software Engineer Metadata Categorization 122

AWS Machine Learning Blog

FEBRUARY 13, 2025

On our website, users can subscribe to an RSS feed and have an aggregated, categorized list of the new articles. He has a background in software engineering. RSS is a web feed that allows publications to publish updates in a standardized, computer-readable way.

Neural Network 97

Neural Network Algorithm Software Engineer Categorization 97

NVIDIA

JULY 5, 2023

Magic is building an AGI software engineer, enabling small teams to write code significantly faster and more cheaply. Magic co-founder, CEO and AI lead Eric Steinberger explained how his company is trying to build an AGI AI software engineer that will work as though it were a team of humans. Blackshark.ai

Generative AI 99

Generative AI Software Engineer Explainability Categorization 99

Towards AI

AUGUST 25, 2023

Many Discord users are high school and undergraduate college students with no AI/ML or software engineering experience. It is best to share summary statistics of the data, including counts of any discrete or categorical features, including the target feature. I list my credentials on my profile (full disclosure).

Software Engineer 98

Software Engineer Data Mining ML Algorithm 98

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].

Software Engineer 98

Software Engineer Machine Learning Artificial Intelligence Artificial Intelligence 98

ODSC - Open Data Science

MARCH 13, 2023

Fan Staff Software Engineer | Quansight Labs As a maintainer for scikit-learn, an open-source machine learning library for Python, and skorch, a neural network library that wraps PyTorch, Thomas J. He also operates his own Python and data science consultancy and corporate training business.

Data Science 80

Data Science Machine Learning Deep Learning Software Engineer 80

Marktechpost

MARCH 25, 2025

While MASs are explored in software engineering, drug discovery, and scientific simulations, they often struggle with coordination inefficiencies, leading to high failure rates. The study explores failure patterns in MAS and categorizes them into a structured taxonomy.

LLM 54

LLM Categorization Software Engineer Automation 54

ODSC - Open Data Science

APRIL 10, 2023

Fan | Staff Software Engineer | Quansight Labs This session will start with an overview of scikit-learn’s API for supervised machine learning, with a focus on its three methods: fit to build models, predict to make predictions from models, and transform to modify data. Jon Krohn | Chief Data Scientist | Nebula.io

Software Engineer 52

Software Engineer Categorization Data Science Machine Learning 52

Marktechpost

AUGUST 18, 2024

LLMs have revolutionized artificial intelligence, particularly natural language processing and software engineering. LLM development has become a top research and application area in current software engineering.

Large Language Models 57

Large Language Models Software Engineer LLM Natural Language Processing 57

Marktechpost

AUGUST 13, 2024

Following this, pairs of code fragments are categorized as clones or non-clones based on these representations. The research assesses the performance of four different LLMs in conjunction with eight unique prompts intended to support the detection of cross-lingual code clones.

Large Language Models 111

Large Language Models Natural Language Processing LLM Categorization 111

Towards AI

MAY 20, 2023

Challenges of building custom LLMs Building custom Large Language Models (LLMs) presents an array of challenges to organizations that can be broadly categorized under data, technical, ethical, and resource-related issues. While these challenges can be significant, they are not insurmountable.

LLM 98

LLM Large Language Models Chatbots Natural Language Processing 98

Marktechpost

FEBRUARY 13, 2025

By categorizing AI interactions according to occupational tasks defined in O*NET, the research highlights patterns in AI adoption. Some key observations include: AI is widely used in software engineering and content creation , reflecting its strength in technical and creative domains.

Software Development 64

Software Development Software Engineer Categorization Automation 64

Google Research AI blog

FEBRUARY 17, 2023

Posted by Parker Riley, Software Engineer, and Jan Botha, Research Scientist, Google Research Many languages spoken worldwide cover numerous regional varieties (sometimes called dialects), such as Brazilian and European Portuguese or Mainland and Taiwan Mandarin Chinese.

Data Scarcity 117

Data Scarcity Computational Linguistics Software Engineer Categorization 117

AWS Machine Learning Blog

MAY 1, 2024

He holds a Masters degree in Software Engineering. He leads teams of data scientists, machine learning engineers, and application architects to deliver AI/ML solutions for customers. You can view each step of the trace in real time as your agent performs orchestration.

Chatbots 123

Chatbots Automation Machine Learning DevOps 123

Flipboard

DECEMBER 6, 2023

Types of summarizations There are several techniques to summarize text, which are broadly categorized into two main approaches: extractive and abstractive summarization. Shyam Desai is a Cloud Engineer for big data and machine learning services at AWS. You can launch this solution in Amazon SageMaker Studio.

BERT 167

BERT Large Language Models Artificial Intelligence Artificial Intelligence 167

ODSC - Open Data Science

FEBRUARY 3, 2023

Previously, he was Director and Senior Scientist at Elder Research, where he mentored and led a team of data scientists and software engineers. These fraud modeling approaches can also be used in other industries to help organizations find unique customers or problems that might exist in their current systems.

Data Science 52

Data Science Software Engineer Categorization Data Scientist 52

Marktechpost

DECEMBER 18, 2024

These properties were categorized by difficulty: easy (medley), medium (termination), and hard (sorting). The functions primarily operated on linked lists, with some involving natural numbers and binary trees. Termination lemmas required proving recursion termination, which was critical for Lean 4’s use.

Automation 79

Automation Large Language Models Algorithm Categorization 79

AWS Machine Learning Blog

APRIL 9, 2025

The Send your feedback form provides the user the option to categorize the feedback and provide additional details for the administrator to review. Prior to his current role, he worked as a Software Engineer at AWS and other companies, focusing on sustainability technology, big data analytics, and cloud computing.

Generative AI 64

Generative AI Metadata Software Engineer Prompt Engineer 64

Chatbots Life

APRIL 19, 2024

These include customer operations, marketing & sales, and software engineering. Software Engineering Generative AI can revolutionize software engineering processes. The potential impact on software engineering productivity could range from 20 to 45% as per recent Generative AI statistics.

Generative AI 52

Generative AI Software Engineer Chatbots Artificial Intelligence 52

AWS Machine Learning Blog

JULY 25, 2024

Given this analysis, I categorize this input as: C " } } } } The trace shows that after reviewing the conversation history, the evaluator concludes, “the agent will be unable to answer or assist with this question using only the functions it has access to.” Bobby Lindsey is a Machine Learning Specialist at Amazon Web Services.

Conversational AI 127

Conversational AI Machine Learning AI AI 127

Snorkel AI

FEBRUARY 2, 2023

Scenario: Entity linking with payroll data and job classifications I’m building an entity-linking app to connect job listings in a payroll system to a job categorization system developed by the Bureau of Labor Statistics. We’ll receive two datasets: The job listings in the payroll system. Examining edge-cases from our model.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

Snorkel AI

FEBRUARY 2, 2023

Scenario: Entity linking with payroll data and job classifications I’m building an entity-linking app to connect job listings in a payroll system to a job categorization system developed by the Bureau of Labor Statistics. We’ll receive two datasets: The job listings in the payroll system. Examining edge-cases from our model.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

ODSC - Open Data Science

FEBRUARY 11, 2025

While machine learning engineers focus on building models, AI engineers often work with pre-trained foundation models, adapting them to specific use cases. This shift has made AI engineering more multidisciplinary, incorporating elements of data science, software engineering, and systemdesign.

AI Engineer 52

AI Engineer Machine Learning Software Engineer Prompt Engineer 52

Google Research AI blog

AUGUST 15, 2023

In the future it would be beneficial to model a user population where relationships are not homogeneous, i.e., where categorically different types of relationships exist or where the relative strength or influence of different relationships is known. We thank our co-authors: Diana Mincu, Lauren Harrell, and Katherine Heller from Google.

Metadata 75

Metadata Algorithm Software Engineer ML 75

Pickl AI

NOVEMBER 28, 2024

Encoding categorical variables converts non-numeric data into a usable format for ML models, often using techniques like one-hot encoding. Together, cloud computing and big data tools enable ML engineers to build powerful, scalable models that can handle the demands of modern Data Science.

Machine Learning 52

Machine Learning Neural Network ML Engineer Algorithm 52

AWS Machine Learning Blog

FEBRUARY 5, 2024

His expertise spans machine learning, data engineering, and scalable distributed systems, augmented by a strong background in software engineering and industry expertise in complex domains such as autonomous driving. fillna(0) df1['totalpixels'] = df1.sum(axis=1) fillna(0) allDf[col] = allDf.groupby(idCols + ['year'])[col].transform(lambda

ML 104

ML Machine Learning Python Software Engineer 104

Google Research AI blog

DECEMBER 7, 2022

Posted by Krishna Giri Narra, Software Engineer, Google, and Chiyuan Zhang, Research Scientist, Google Research Ad technology providers widely use machine learning (ML) models to predict and present users with the most relevant ads, and to measure the effectiveness of those ads.

Neural Network 52

Neural Network Algorithm Deep Learning Computer Vision 52

The MLOps Blog

FEBRUARY 13, 2025

Igor Tsvetkov Former Senior Staff Software Engineer, Cruise AI teams automating error categorization and correlation can significantly reduce debugging time in hyperscale environments, just as Cruise has done. GPU memory leaks, network latency) or software bugs (e.g.,

Data Ingestion 59

Data Ingestion Automation Software Engineer Metadata 59

ODSC - Open Data Science

JANUARY 7, 2025

Theyre looking for people who know all related skills, and have studied computer science and software engineering. As MLOps become more relevant to ML demand for strong software architecture skills will increase aswell. While knowing Python, R, and SQL is expected, youll need to go beyond that.

Data Scientist 40

Data Scientist Data Science Deep Learning Machine Learning 40

Becoming Human

MAY 15, 2023

The two most common types of supervised learning are classification , where the algorithm predicts a categorical label, and regression , where the algorithm predicts a numerical value. Unsupervised Learning In this type of learning, the algorithm is trained on an unlabeled dataset, where no correct output is provided.

Data Science 75

Data Science Neural Network Machine Learning Python 75

AWS Machine Learning Blog

FEBRUARY 8, 2023

At a high level, these metrics are categorized into three classes: invocation metrics, latency metrics, and utilization metrics. About the Authors Mohan Gandhi is a Senior Software Engineer at AWS. The following diagram illustrates the application and scaling setup in SageMaker.

Machine Learning 92

Machine Learning Auto-complete ML Natural Language Processing 92