DrivenData Labs

MAY 18, 2023

I work on machine learning for natural language processing, and I’m particularly interested in few-shot learning, lifelong learning, and societal and health applications such as abuse detection, misinformation, mental ill-health detection, and language assessment. How did you get started in data science?

Natural Language Processing 211

Natural Language Processing Machine Learning Machine Learning Data Science 211

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 Machine Learning Machine Learning Deep Learning 52

NYU Center for Data Science

JUNE 8, 2023

ML² group , affiliated with the larger CILVR lab , is a team of NYU researchers focused on developing innovative machine learning methods for natural language processing (NLP).

Machine Learning 118

Machine Learning Machine Learning Natural Language Processing Artificial Intelligence 118

Pickl AI

JULY 18, 2023

With technological developments occurring rapidly within the world, Computer Science and Data Science are increasingly becoming the most demanding career choices. Moreover, with the oozing opportunities in Data Science job roles, transitioning your career from Computer Science to Data Science can be quite interesting.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

Data Science Dojo

FEBRUARY 2, 2023

It is widely used in numerous fields, from data science and machine learning to web development and game development. It is a widely used programming language in computer science. Python project ideas – Data Science Dojo 1. Learn about Top Python Packages 5.

Python 195

Python Data Analysis Data Analysis Data Science 195

Data Science Dojo

DECEMBER 8, 2023

7 Steps to Mastering Large Language Models (LLMs) Large language models (LLMs) have revolutionized the field of natural language processing (NLP), enabling machines to generate human-quality text, translate languages, and answer questions in an informative way.

Natural Language Processing 195

Natural Language Processing Deep Learning Deep Learning Computer Science 195

AWS Machine Learning Blog

NOVEMBER 13, 2024

By offering real-time translations into multiple languages, viewers from around the world can engage with live content as if it were delivered in their first language. Drawing from her background in data science, Arian assists customers in effectively using generative AI and other AI technologies.

AWS 126

AWS AI AI Natural Language Processing 126

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. The chart below shows 20 in-demand skills that encompass both NLP fundamentals and broader data science expertise.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Becoming Human

JANUARY 23, 2023

To stay ahead of the curve and be ready for the changes that are coming, it’s important to understand the basics of AI and machine learning, develop skills in data science and analysis, learn to code, stay current on industry developments, and embrace change and new possibilities.

Artificial Intelligence 136

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 136

NYU Center for Data Science

MARCH 15, 2023

The program is organized by students from NYU Data Science, Courant Institute, and other departments. It is supported by the NYU ML² Machine Learning for Language Lab , a team of researchers developing machine-learning methods for natural language processing (NLP) affiliated with the CILVR Lab , and the Center for Data Science.

Machine Learning 97

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 97

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.

Natural Language Processing 52

Natural Language Processing AI AI Data Science 52

IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Flipboard

MAY 3, 2023

Natural Language Processing … Text analysis applications need to utilize a range of technologies to provide an effective and user-friendly solution.

Natural Language Processing 123

Natural Language Processing Python Computer Science Data Science 123

Data Science Dojo

JULY 4, 2023

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.

AI 195

AI AI Algorithm Natural Language Processing 195

Data Science Dojo

AUGUST 18, 2023

Transformers are a type of neural network that are well-suited for natural language processing tasks. They are able to learn long-range dependencies between words, which is essential for understanding the nuances of human language. They are typically trained on clusters of computers or even on cloud computing platforms.

Natural Language Processing 195

Natural Language Processing Database AI AI 195

NYU Center for Data Science

JULY 24, 2024

Ravfogel is currently completing his PhD in the Natural Language Processing Lab at Bar-Ilan University, supervised by Prof. He brings a wealth of experience in natural language processing, representation learning, and the analysis and interpretability of neural models. Yoav Goldberg.

Natural Language Processing 74

Natural Language Processing Machine Learning Machine Learning Computer Science 74

NYU Center for Data Science

SEPTEMBER 28, 2023

It’s a pivotal time in Natural Language Processing (NLP) research, marked by the emergence of large language models (LLMs) that are reshaping what it means to work with human language technologies. ML² is more than just a research initiative. By Stephen Thomas

Machine Learning 98

Machine Learning Machine Learning ML ML 98

Pickl AI

JUNE 19, 2024

Summary: Confused about Data Science course requirements? Learn how to assess courses and prepare for enrollment to launch your Data Science journey. The world runs on data. From targeted advertising to personalized healthcare, Data Science is revolutionizing every industry. Let’s Get Started !!!

Data Science 52

Data Science Data Scientist Hypothesis Testing Natural Language Processing 52

ODSC - Open Data Science

MARCH 2, 2023

Machine learning models are becoming increasingly popular for tasks such as image classification, natural language processing, and even medical diagnosis. These models work by analyzing large amounts of data and learning patterns in that data to make predictions on new, unseen data.

Machine Learning 97

Machine Learning Machine Learning Data Science Natural Language Processing 97

ODSC - Open Data Science

APRIL 3, 2023

Question Answering is the task in Natural Language Processing that involves answering questions posed in natural language. Duisburg-Essen, Germany) is a professor of Computer Science and director of the Ubiquitous Knowledge Processing (UKP) Lab at the Technical University (TU) of Darmstadt in Germany.

Natural Language Processing 117

Natural Language Processing Machine Learning Machine Learning Data Science 117

ODSC - Open Data Science

DECEMBER 19, 2023

Data scientists with a PhD or a master’s degree in computer science or a related field can earn more than $150,000 per year. Data scientists who work in the financial services industry or the healthcare industry can also earn more than the average. The most popular data science tools include Hadoop, Spark, and Hive.

Data Scientist 96

Data Scientist Machine Learning Machine Learning AI 96

Pickl AI

JANUARY 29, 2024

Summary: In the tech landscape of 2024, the distinctions between Data Science and Machine Learning are pivotal. Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. The collective strength of both forms the groundwork for AI and Data Science, propelling innovation.

Data Science 52

Data Science ML ML Machine Learning 52

NYU Center for Data Science

JULY 27, 2023

Allen School of Computer Science & Engineering at the University of Washington. My main goal is to address how we can safely and ethically deploy natural language processing (NLP) systems that serve all users equitably.” Gabriel received her PhD from the Paul G.

Computer Science 92

Computer Science Computer Science Natural Language Processing Machine Learning 92

Mlearning.ai

MAY 23, 2023

While specific requirements may vary depending on the organization and the role, here are the key skills and educational background that are required for entry-level data scientists — Skillset Mathematical and Statistical Foundation Data science heavily relies on mathematical and statistical concepts. in these fields.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 5, 2024

Summary: Data Science and AI are transforming the future by enabling smarter decision-making, automating processes, and uncovering valuable insights from vast datasets. Bureau of Labor Statistics predicts that employment for Data Scientists will grow by 36% from 2021 to 2031 , making it one of the fastest-growing professions.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

NYU Center for Data Science

MAY 14, 2024

From undergraduates to PhD candidates, they have demonstrated a deep commitment to the field of data science, completing rigorous coursework, engaging in cutting-edge research, and adapting to the ever-evolving landscape of academic learning. We can’t wait to see how they will use their talents out in the world.

Data Science 97

Data Science Natural Language Processing Computer Science Computer Science 97

Pickl AI

JANUARY 27, 2023

Are you looking for a career in Data Science in Chennai? Before you kick start your career in Data Science, let us first understand what Data Science is. Whether you’re from a technical or non-technical background, you can pursue Data Science as your career. You’re at the right blog.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

NYU Center for Data Science

JUNE 12, 2024

CDS Professor of Computer Science and Data Science Kyunghyun Cho One of the keynote speakers at the conference was Kyunghyun Cho , who delivered a talk titled “ Machine Learning in Prescient Design’s Lab-in-the-Loop Antibody Design.” workshop as a standout.

Computer Science 70

Computer Science Computer Science Deep Learning Deep Learning 70

NYU Center for Data Science

DECEMBER 12, 2024

This year, CDS faculty, researchers, and students will present research spanning an extraordinary range of topics, from theoretical advances in optimization and neural networks to practical applications in computer vision and natural language processing.

Computer Science 69

Computer Science Computer Science Data Science Machine Learning 69

NYU Center for Data Science

FEBRUARY 22, 2023

The work was led by CDS PhD student Aishwarya Kamath whose research focuses on computer vision and natural language processing.

Natural Language Processing 94

Natural Language Processing Computer Science Computer Science Data Science 94

Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

NYU Center for Data Science

SEPTEMBER 21, 2023

He researches NLP and human-AI collaboration and is advised by Assistant Professor of Computer Science & Data Science He He. I got a little bit lucky then because that was just after language models really took off as tools. The introduction of large language models changed the direction of your research?

Natural Language Processing 98

Natural Language Processing Computer Science Computer Science Data Science 98

Data Science Dojo

JUNE 4, 2024

Some common topics discussed and covered in AI books include search algorithms, machine learning, natural language processing, and computer vision – the building blocks of intelligent systems. They cover multiple aspects of a topic in-depth, providing a detailed repository of information for readers.

AI 195

AI AI Artificial Intelligence Artificial Intelligence 195

DrivenData Labs

FEBRUARY 3, 2025

Most solvers were data science professionals, professors, and students, but there were also many data analysts, project managers, and people working in public health and healthcare. Recently, I became interested in machine learning, so I was enrolled in the Yandex School of Data Analysis and Computer Science Center.

Machine Learning 130

Machine Learning Machine Learning Data Science Natural Language Processing 130

Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

NYU Center for Data Science

JULY 28, 2023

The summer session is Machine Learning and Finance, so there were several lectures on finance and several on Natural Language Processing (NLP), which I mainly talked about. My lecture was on robustness and NLP systems, while others covered reasoning and retrieval-based language models.

Machine Learning 97

Machine Learning Machine Learning Computer Science Computer Science 97

Towards AI

JANUARY 6, 2025

Professional certificate for computer science for AI by HARVARD UNIVERSITY Professional certificate for computer science for AI is a 5-month AI course that is inclusive of self-paced videos for participants; who are beginners or possess intermediate-level understanding of artificial intelligence.

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