ODSC - Open Data Science

FEBRUARY 2, 2023

Here’s what we found for both skills and platforms that are in demand for data scientist jobs. Data Science Skills and Competencies Aside from knowing particular frameworks and languages, there are various topics and competencies that any data scientist should know. Joking aside, this does infer particular skills.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

NYU Center for Data Science

JULY 18, 2023

Read about the research groups at CDS working to advance data science and machine learning! CDS includes a range of research groups that bring together NYU professors, faculty fellows, and PhD students working at various intersections of data science, machine learning, and artificial intelligence.

Data Science 98

Data Science Machine Learning Machine Learning Natural Language Processing 98

DrivenData Labs

DECEMBER 11, 2024

Looking back ¶ When we started DrivenData in 2014, the application of data science for social good was in its infancy. There was rapidly growing demand for data science skills at companies like Netflix and Amazon. Weve run 75+ data science competitions awarding more than $4.7

Data Science 147

Data Science Data Scientist Machine Learning Machine Learning 147

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. By 2020, ML² was a thriving community, primarily known for its recurring speaker series where researchers presented their work to peers. What does it mean to work in NLP in the age of LLMs?

Machine Learning 98

Machine Learning Machine Learning ML ML 98

Flipboard

DECEMBER 2, 2024

To learn more about the ModelBuilder class, refer to Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 1: PySDK Improvements. Prior to joining AWS, Dr. Li held data science roles in the financial and retail industries. Raghu Ramesha is an ML Solutions Architect with the Amazon SageMaker Service team.

AWS 143

AWS ML ML Machine Learning 143

Flipboard

SEPTEMBER 16, 2023

Machine Learning (ML), a subfield of Artificial Intelligence (AI), … These third-party libraries are an essential part of any AI developer’s toolkit.

ML 152

ML ML Artificial Intelligence Artificial Intelligence 152

ODSC - Open Data Science

APRIL 14, 2025

Every year, ODSC East brings together some of the brightest minds in data science, AI, and machine learning. Finale Doshi Velez, PhD, Professor at Harvard University Finale Doshi-Velez is a Herchel Smith Professor in Computer Science at the Harvard Paulson School of Engineering and Applied Sciences.

Data Science 52

Data Science Machine Learning Machine Learning ML 52

ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there! Due to the tsunami of data available to organizations today, artificial intelligence (AI) and machine learning (ML) are increasingly important to businesses seeking competitive advantage through digital transformation.

ML 98

ML ML Data Silos Data Quality 98

AWS Machine Learning Blog

NOVEMBER 29, 2023

Data preparation is a crucial step in any machine learning (ML) workflow, yet it often involves tedious and time-consuming tasks. Amazon SageMaker Canvas now supports comprehensive data preparation capabilities powered by Amazon SageMaker Data Wrangler.

Data Preparation 119

Data Preparation ML ML Data Quality 119

Flipboard

DECEMBER 2, 2024

This long-awaited capability is a game changer for our customers using the power of AI and machine learning (ML) inference in the cloud. The scale down to zero feature presents new opportunities for how businesses can approach their cloud-based ML operations. However, it’s possible to forget to delete these endpoints when you’re done.

ML 149

ML ML AWS Machine Learning 149

Flipboard

SEPTEMBER 10, 2023

AI Apps are domain-infused, AI/ML-powered applications that continuously learn and adapt with minimal human intervention in helping non-technical users manage data and analytics-intensive operations to deliver well-defined operational outcomes.

Data Science 163

Data Science AI AI ML 163

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

JUNE 8, 2023

The free week-long course was launched and generously funded by the NYU ML² Machine Learning for Language Lab and organized by students from the CDS and NYU’s Courant Institute. It includes hands-on labs and lectures taught by renowned researchers in the fields of artificial intelligence and machine learning.

Machine Learning 119

Machine Learning Machine Learning Natural Language Processing Artificial Intelligence 119

AWS Machine Learning Blog

MAY 10, 2023

Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science. Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter.

ML 97

ML ML AWS AI 97

AWS Machine Learning Blog

MARCH 8, 2023

Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. We add this data to Snowflake as a new table.

ML 122

ML ML AWS Python 122

Flipboard

FEBRUARY 25, 2025

Vasudeva Akula, VOZIQ AI cofounder and head of data science. Helps recurring revenue businesses improve customer retention using ML. In the world of subscription businesses, staying ahead isn't just about offering a great productit's about navigating a complex landscape of economic challenges,

Data Science 134

Data Science ML ML AI 134

NYU Center for Data Science

AUGUST 29, 2024

Puli recently finished his PhD in Computer Science at NYU’s Courant Institute, advised by CDS Assistant Professor of Computer Science and Data Science Rajesh Ranganath. He is partly supported by the Apple Scholars in AI/ML PhD fellowship. Puli earned his MS in Computer Science from NYU in 2017.

Hypothesis Testing 72

Hypothesis Testing Computer Science Computer Science Data Science 72

Flipboard

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. SageMaker Studio is the first fully integrated development environment (IDE) for ML. The next step is to build ML models using features selected from one or multiple feature groups.

ML 123

ML ML AWS Data Warehouse 123

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.

Python 195

Python Data Analysis Data Analysis Data Science 195

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

Dataconomy

MAY 2, 2023

Machine learning engineers are professionals who possess a blend of skills in software engineering and data science. Their primary role is to leverage their programming and coding abilities to gather, process, and analyze large volumes of data. Is ML engineering a stressful job? Does a machine learning engineer do coding?

ML 110

ML ML Machine Learning Machine Learning 110

Dataconomy

JULY 24, 2023

If you’ve found yourself asking, “How to become a data scientist?” In this detailed guide, we’re going to navigate the exciting realm of data science, a field that blends statistics, technology, and strategic thinking into a powerhouse of innovation and insights. ” What does a data scientist do?

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

AWS Machine Learning Blog

NOVEMBER 13, 2024

With an academic background in computer science and engineering, he started developing his AI/ML passion at university; as a member of the natural language processing and generative AI community within AWS, Luca helps customers be successful while adopting AI/ML services.

AWS 120

AWS AI AI Natural Language Processing 120

ODSC - Open Data Science

FEBRUARY 17, 2023

The chart below shows 20 in-demand skills that encompass both NLP fundamentals and broader data science expertise. In a change from last year, there’s also a higher demand for those with data analysis skills as well. Having mastery of these two will prove that you know data science and in turn, NLP.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

AWS Machine Learning Blog

JUNE 9, 2023

a low-code enterprise graph machine learning (ML) framework to build, train, and deploy graph ML solutions on complex enterprise-scale graphs in days instead of months. With GraphStorm, we release the tools that Amazon uses internally to bring large-scale graph ML solutions to production. license on GitHub. GraphStorm 0.1

ML 97

ML ML K-nearest Neighbors Machine Learning 97

AWS Machine Learning Blog

JULY 8, 2024

As industries begin adopting processes dependent on machine learning (ML) technologies, it is critical to establish machine learning operations (MLOps) that scale to support growth and utilization of this technology. There were noticeable challenges when running ML workflows in the cloud.

AWS 107

AWS ML ML Data Scientist 107

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 98

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 98

O'Reilly Media

OCTOBER 19, 2021

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. What does a modern technology stack for streamlined ML processes look like? Why: Data Makes It Different. All ML projects are software projects.

ML 145

ML ML Data Scientist AWS 145

Women in Big Data

JANUARY 24, 2023

Women in Big Data Northwest chapter hosted a Python-AI-ML workshop, this Data Science hands-on workshop focused on Data Science Life Cycle concepts, Python, and AI/ML technical skills. He has a Bachelor’s Degree in both Computer Science and Philosophy.

ML 52

ML ML Python Data Science 52

Towards AI

FEBRUARY 15, 2024

AI Engineers: Your Definitive Career Roadmap Become a professional certified AI engineer by enrolling in the best AI ML Engineer certifications that help you earn skills to get the highest-paying job. Soft skills are important in computer science careers as well. Author(s): Jennifer Wales Originally published on Towards AI.

Artificial Intelligence 111

Artificial Intelligence Artificial Intelligence AI AI 111

ODSC - Open Data Science

MARCH 22, 2023

Many companies are now utilizing data science and machine learning , but there’s still a lot of room for improvement in terms of ROI. Mathematics for Data Science Data science uses a combination of mathematics, statistics, and computer science to help us solve questions of importance in a large number of fields.

Machine Learning 98

Machine Learning Machine Learning Data Science Artificial Intelligence 98

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

Mlearning.ai

FEBRUARY 10, 2023

Data science and artificial intelligence are not the same. We will discuss the differences between these computer science fields and how… Continue reading on MLearning.ai »

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Computer Science 52

AWS Machine Learning Blog

JANUARY 31, 2025

Increasingly, FMs are completing tasks that were previously solved by supervised learning, which is a subset of machine learning (ML) that involves training algorithms using a labeled dataset. His passion is for solving challenging real-world computer vision problems and exploring new state-of-the-art methods to do so.

Supervised Learning 77

Supervised Learning AWS Data Scientist ML 77

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. Introduction Data Science and Artificial Intelligence (AI) are at the forefront of technological innovation, fundamentally transforming industries and everyday life.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

Towards AI

AUGUST 24, 2023

Common mistakes and misconceptions about learning AI/ML Markus Spiske on Unsplash A common misconception of beginners is that they can learn AI/ML from a few tutorials that implement the latest algorithms, so I thought I would share some notes and advice on learning AI. Trying to code ML algorithms from scratch.

AI 98

AI AI Algorithm ML 98

Pickl AI

FEBRUARY 19, 2025

Summary: The difference between Data Science and Data Analytics lies in their approachData Science uses AI and Machine Learning for predictions, while Data Analytics focuses on analysing past trends. Data Science requires advanced coding, whereas Data Analytics relies on statistical methods.

Data Science 52

Data Science Analytics Analytics Machine Learning 52