NYU Center for Data Science

SEPTEMBER 28, 2023

Building on this momentum is a dynamic research group at the heart of CDS called the Machine Learning and Language (ML²) group. This collaborative atmosphere, combined with individual lab meetings and the broader ML² seminars, fostered a culture of continuous learning and knowledge sharing.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

Towards AI

APRIL 7, 2024

With the emergence of ARCGISpro which will replace ArcMap by 2026 mainly focusing on data science and machine learning, all the signs that machine learning is the future of GIS and you might have to learn some principles of data science, but where do you start, let us have a look.

Machine Learning 102

Machine Learning Machine Learning K-nearest Neighbors Supervised Learning 102

NYU Center for Data Science

AUGUST 24, 2023

Some people want both, and those people, if attending NYU, join the Math and Data research group at the Center for Data Science (CDS) , which, thanks to the ever-broader applicability of AI, is now working on some of the most important problems currently facing humanity.

Data Science 98

Data Science Machine Learning Machine Learning Algorithm 98

NYU Center for Data Science

JULY 13, 2023

In winter 2023, Berfin attended the Theoretical Physics for Machine Learning Conference in Aspen Center for Physics. In fall 2022, Berfin presented a poster at the Spin Glass Workshop , a seminar which brings together researchers interested in spin glasses and related topics.

Deep Learning 98

Deep Learning Deep Learning Machine Learning Machine Learning 98

NYU Center for Data Science

JANUARY 30, 2024

Engage with your peers by joining the CDS Graduate Student Community-Building Group, the Data Science Club , or Women in Data Science (WiDS). CDS Seminar Series Organized by our professors, faculty, researchers, and PhD students, the speaker seminar series features talks from renowned researchers in data science.

Data Science 52

Data Science Machine Learning Machine Learning AI 52

The MLOps Blog

MARCH 21, 2023

Moving across the typical machine learning lifecycle can be a nightmare. From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. How to understand your users (data scientists, ML engineers, etc.).

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

Towards AI

SEPTEMBER 11, 2023

Photo by Ross Sneddon on Unsplash In my attempt to grow my expertise as a business, thought, and analytical leader, I tried to read up, attend seminars, and strike up conversations with similar leaders in the field. Upgrade to access all of Medium.

Analytics 115

Analytics Analytics AI AI 115

NYU Center for Data Science

NOVEMBER 26, 2024

Bhatt presents about algorithmic resignation at a Trustworthy Data Science and Security seminar in TU Dortmund in Germany in July 2024 Bhatt’s research also extends to physical AI systems.

AI 74

AI AI Deep Learning Deep Learning 74

Dataconomy

FEBRUARY 7, 2025

From mathematics to data science Entering the tech industry today may seem straightforwardtake a course, earn a certificate, and apply for jobs. He later enrolled at the Higher School of Economics (HSE), one of Russias top universities, where he studied statistics, machine learning, and programming.

AI 91

AI AI Artificial Intelligence Artificial Intelligence 91

AWS Machine Learning Blog

APRIL 22, 2025

Accelerated learnings and knowledge retention in the education sector Students effectively review lectures, seminars, and workshops through transcripts and summaries, reinforcing learning, and improving knowledge retention. He specializes in Generative AI & Machine Learning with focus on Data and Feature Engineering domain.

AWS 88

AWS AI AI Machine Learning 88

Pickl AI

MARCH 19, 2023

For example, if employees do not understand the significance of data storage, they may not keep a backup of sensitive data. Hence, it becomes significant for organizations to ensure that Big Data workshops and seminars. This training includes awareness about Big Data, its significance and how to handle the information.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

SEPTEMBER 4, 2023

Clean and preprocess data to ensure its quality and reliability. Statistical Analysis: Apply statistical techniques to analyse data, including descriptive statistics, hypothesis testing, regression analysis, and machine learning algorithms. This can be a valuable asset when applying for jobs or graduate programs.

Data Analysis 52

Data Analysis Data Analysis Hypothesis Testing Machine Learning 52

Heartbeat

MARCH 21, 2023

Keras is popular high-level API machine learning framework in python that was created by Google. I decided that aggregating this data would give me a rough idea about what loss functions were commonly being used to solve the different problems. Glad you’re able to come on this journey! Innovation and academia go hand-in-hand.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Heartbeat

MAY 11, 2023

Listen to our own CEO Gideon Mendels chat with the Stanford MLSys Seminar Series team about the future of MLOps and give the Comet platform a try for free ! Both paths interconnect via cross-stage partial connections, which enables gradient flow. Innovation and academia go hand-in-hand.

Deep Learning 75

Deep Learning Deep Learning ML ML 75

Heartbeat

NOVEMBER 23, 2023

He was determined to make it happen, so he set out on a journey to learn all he could about the technology. He read books, attended seminars, and talked to experts in the field. He searched far and wide for the best and brightest minds in AI and eventually assembled a team of engineers, data scientists, and business strategists.

Data Scientist 52

Data Scientist AI AI Deep Learning 52

Heartbeat

JULY 11, 2023

Listen to our own CEO Gideon Mendels chat with the Stanford MLSys Seminar Series team about the future of MLOps and give the Comet platform a try for free ! By harnessing the power of NLP, companies can enhance their marketing strategies and improve customer experiences. Innovation and academia go hand-in-hand.

Natural Language Processing 40

Natural Language Processing Algorithm Artificial Intelligence Artificial Intelligence 40

NYU Center for Data Science

DECEMBER 13, 2024

Many people in the field think that AI is deep learning, and nothing else is worthwhile, Dhar said. I realized while teaching a PhD seminar on AI that the students would benefit from a historical perspective on the field. We just forgot about them in the machine learning and deep learningeras. By StephenThomas

Deep Learning 75

Deep Learning Deep Learning Artificial Intelligence Artificial Intelligence 75