Dataconomy

APRIL 14, 2016

Fast forward to 2016, and it’s abundantly clear that he was right (and how!) 118,709 – the average salary for a Data Scientist today (according to Glassdoor). The post 5 Actionable Insights to Make You Stand Out in Data Science appeared first on Dataconomy. Compare that.

Data Science 132

Data Science Data Scientist Big Data Big Data 132

Dataconomy

AUGUST 9, 2016

Meet Crystal Valentine, Data Natives Tel Aviv 2016 Keynote Speaker Crystal Valentine is VP of Technology Strategy at MapR Technologies in San Jose, California and will serve as a keynote speaker during Data Natives Tel Aviv 2016. Dr. Valentine received her doctorate in Computer Science from Brown University and was.

Computer Science 133

Computer Science Computer Science Big Data Big Data 133

Data Science 101

JUNE 3, 2019

Looking for a few academic data science papers to study? Here are a few I have found interesting. The are not all from the past 12 months, but I am including them anyhow.

Data Science 96

Data Science Machine Learning Machine Learning Algorithm 96

Dataconomy

MAY 3, 2016

The post RegTech: The 2016 Buzzword Is Turning Heads appeared first on Dataconomy. Of course, such a major shift in policies and the way companies do business is bound to have equally powerful effects on legislature. Regulations have been strict since 2008, and many US banks have been hit with huge.

Data Science 124

Data Science 124

Dataconomy

JULY 11, 2016

For young students, there are full degree programs and specialized courses to prepare them for the data-driven world. The post 10 Online Big Data Courses and Where to Find Them 2016 appeared first on Dataconomy.

Big Data 133

Big Data Big Data Data Scientist Data Science 133

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

Smart Data Collective

MARCH 17, 2020

It is understandable that many computer science majors are considering pursuing careers in this evolving field. Is the Booming Big Data Field Right for You? Everyone has heard about Data Science in 2020. The concept of data science was first introduced in 2001, but it started gaining popularity in 2010.

Data Science 119

Data Science Data Scientist Big Data Big Data 119

Dataconomy

AUGUST 26, 2016

The post Speaker Spotlight: Q&A With Dr. Stefan Kühn – Data Natives Berlin 2016 appeared first on Dataconomy. Before codecentric he was a researcher in the Scientific Computing Group at the Max Planck.

Data Scientist 98

Data Scientist Machine Learning Machine Learning Algorithm 98

Dataconomy

DECEMBER 21, 2016

From Decentralized Model Exchanges to Model Audit Trails [This is based on a talk I first gave on Nov 7, 2016. Here are the slides.] In recent years, AI (artificial intelligence) researchers have finally cracked problems that they’ve worked on for decades, from Go to human-level speech recognition. A key piece.

Artificial Intelligence 195

Artificial Intelligence Artificial Intelligence AI AI 195

Dataconomy

JUNE 5, 2017

A KPMG analysis saw investments decline in 2016 and investors are now more cautious about betting on segments that are becoming saturated. Fintech is becoming an increasingly competitive market. Lending and payments are two segments that saw increased participation over the past two years. Competitors come in all forms.

Business Intelligence 193

Business Intelligence Business Intelligence Analytics Analytics 193

Dataconomy

FEBRUARY 4, 2020

Will there be any data-transfer or migration complications post-Brexit? Since 2016, the United Kingdom and the European Union have braced for the looming Brexit, or the British exit from the EU. The post Bracing for Brexit: Best Practices for Data Migration in Wake of 2020 Brexit appeared first on Dataconomy.

Big Data 191

Big Data Big Data Analytics Analytics 191

Dataconomy

AUGUST 11, 2017

In 2016, Google’s net worth was reported to be $336 billion, and this is largely due to the advanced learning algorithms the company employs. Google was the first company to realize the importance of incorporating machine learning in business processes. And the technology powerhouse doesn’t stop at any given point; it keeps.

Machine Learning 183

Machine Learning Machine Learning Algorithm Data Science 183

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. I probably developed my first object-centric event log back in 2016 and used it for an industrial customer.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Towards AI

MARCH 22, 2024

Insights from bridging data science and cultural understandingDall-E image:impressionist painting interpretation of a herring boat on the open ocean At my core I am a numbers guy, a computer scientist by trade, fascinated by data and what information can be gleaned from it. Isn’t AI just great for this sort of analysis?

AI 116

AI AI Data Science Algorithm 116

Data Science Dojo

DECEMBER 8, 2023

The conceptual underpinnings of few-shot learning draw from landmark research, notably exemplified in the paper “ Matching Networks for One Shot Learning ” by Vinyals et al. This pioneering work introduces matching networks, leveraging attention mechanisms for meta-learning.

Supervised Learning 443

Supervised Learning Machine Learning Machine Learning Artificial Intelligence 443

NYU Center for Data Science

AUGUST 16, 2024

He’ll also be teaching an introductory data science course for non-majors. His applied approach to research aligns well with CDS’s emphasis on working directly with data. I also think data science is a good fit coming from an econ background,” he said. “I’m excited to teach the causal inference class,” Sah said. “As

Data Science 97

Data Science Machine Learning Machine Learning 97

Alation

FEBRUARY 20, 2020

With the year coming to a close, many look back at the headlines that made major waves in technology and big data – from Spark to Hadoop to trends in data science – the list could go on and on. Venky Ganti, CTO & Co-Founder: Data sprawl will finally hit its threshold.

Data Warehouse 52

Data Warehouse Hadoop Data Science ETL 52

Data Science Dojo

MARCH 27, 2023

A Snapshots folder is created that may contain the following files: VMCX – This is the new binary format for the configuration file introduced in Windows Server 2016. As a VMware administrator, you should be advised that Microsoft has introduced “production” checkpoints with Windows Server 2016.

Clustering 195

Clustering Database SQL 195

Dataconomy

MARCH 31, 2016

The rise of Big Data, and the industry’s IoT craze, are driving huge demand for streaming data analytics. There’s an impediment though: streaming data is hard to work with. 2016 will heighten the demand, and also the tension around the difficulty. In the big-data. It may also force a solution.

Big Data 131

Big Data Big Data Analytics Analytics 131

Dataconomy

MARCH 21, 2016

Experts are saying 2016 will mark the rise of a new system: The post Is Fog Computing the Future of The Cloud? It’s time to start dealing with it. Is Fog and Edge Computing inevitable? What happens when the cloud isn’t enough? This is a modern problem if there ever was one. appeared first on Dataconomy.

Cloud Computing 132

Cloud Computing Data Science 132

ODSC - Open Data Science

FEBRUARY 20, 2023

As newer fields emerge within data science and the research is still hard to grasp, sometimes it’s best to talk to the experts and pioneers of the field. His research interests bridge the computational, statistical, cognitive, biological, and social sciences. Recently, we spoke with Michael I.

Machine Learning 96

Machine Learning Machine Learning Data Science Python 96

Data Science Dojo

SEPTEMBER 15, 2023

Inaccuracies span a spectrum, from odd and inconsequential instances—such as suggesting the Golden Gate Bridge’s relocation to Egypt in 2016—to more consequential and problematic scenarios. Large Language Models (LLMs), such as OpenAI’s ChatGPT, often face a challenge: the possibility of producing inaccurate information.

AI 359

AI AI Data Quality Algorithm 359

DataRobot

MAY 11, 2021

It 10x’s our world-class AI platform by dramatically increasing the flexibility of DataRobot for data scientists who love to code and share their expertise across teams of all skill levels. At DataRobot, we have always known that data science is a team sport. Customize and automate your data science workflows.

Data Scientist 98

Data Scientist Citizen Data Scientist Data Science AI 98

IBM Data Science in Practice

NOVEMBER 28, 2022

Data fabric is defined by IBM as “an architecture that facilitates the end-to-end integration of various data pipelines and cloud environments through the use of intelligent and automated systems.” The concept was first introduced back in 2016 but has gained more attention in the past few years as the amount of data has grown.

Data Pipeline 130

Data Pipeline Data Quality Data Preparation Data Governance 130

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 104

ML ML AWS AI 104

Towards AI

APRIL 12, 2023

All of these companies were founded between 2013–2016 in various parts of the world. In the last few years, if you google healthcare or clinical NLP, you would see that the search results are blanketed by a few names like John Snow Labs (JSL), Linguamatics (IQVIA), Oncoustics, BotMD, Inspirata.

AI 97

AI AI Natural Language Processing Data Science 97

Towards AI

FEBRUARY 1, 2024

The change of direction in the data for a sustained period can be called a trend. To demonstrate the trend, we will use Pollution US 2000 to 2016 data from Kaggle. It will be clearer with the examples below. Please feel free to download the dataset from this link: U.S. csv') This dataset is pritty big.

Python 115

Python AI AI Data Science 115

ODSC - Open Data Science

OCTOBER 4, 2024

In the rapidly developing fields of AI and data science, innovation is constant, and constantly advances by leaps and bounds. Prior to NVIDIA, he worked at Enigma Technologies, a data science startup. Join us at ODSC West 2024 to learn from the knowledge and expertise of these renowned AI and data science practitioners.

Data Science 52

Data Science Machine Learning Machine Learning Algorithm 52

DataRobot Blog

JUNE 11, 2018

IBM Watson Studio has come a long way since I first tested IBM Data Science Experience in November 2016. The new Watson Studio delivers a more collaborative, enterprise quality data. by Jen Underwood. Read More.

Data Science 40

Data Science Predictive Analytics Analytics Analytics 40

ODSC - Open Data Science

AUGUST 16, 2024

Learn about cutting-edge developments in AI and data science from the experts who know them best on ODSC’s Ai X Podcast. This episode is a previously recorded interview from early 2023 with one of computer science’s most influential pioneers, Michael I. You can listen on Spotify , Apple , and SoundCloud.To

Machine Learning 52

Machine Learning Machine Learning Data Science AI 52

Data Science Dojo

SEPTEMBER 28, 2023

In 2016, Microsoft launched a chatbot called Tay on Twitter. Addressing and mitigating bias in LLMs is a critical concern, especially when these models are used in applications that impact people’s lives, such as in hiring processes or legal contexts.

Algorithm 221

Algorithm AI AI Artificial Intelligence 221

Data Science Blog

FEBRUARY 23, 2023

Presumably due to this fact, Andrew Ng, in his presentation in NeurIPS 2016, gave a rough and abstract predictions of how transfer learning in machine learning would make commercial success like white lines in the figure below. The post How to tackle lack of data: an overview on transfer learning appeared first on Data Science Blog.

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

Mlearning.ai

MAY 15, 2023

Photo by Andrew Neel on Unsplash Introduction If you are working or have worked on any data science task then you definitely used pandas. So, pandas is a library which helps with performing data ingestion and transformations. apply(lambda x: x.year) df.groupby('year')['Sales'].mean() Yearly average sales.

Data Science 52

Data Science Machine Learning Machine Learning AI 52

Data Science Dojo

FEBRUARY 8, 2024

Fast forward to 2016, Facebook’s FastText introduced a significant shift by considering sub-word information. GloVe demonstrated improved performance over Word2Vec in capturing semantic relationships. Unlike traditional word embeddings, FastText represented words as bags of character n-grams.

Azure 195

Azure Natural Language Processing Machine Learning Machine Learning 195

Data Science Dojo

DECEMBER 8, 2023

The conceptual underpinnings of few-shot learning draw from landmark research, notably exemplified in the paper “ Matching Networks for One Shot Learning ” by Vinyals et al. This pioneering work introduces matching networks, leveraging attention mechanisms for meta-learning.

Supervised Learning 195

Supervised Learning Machine Learning Machine Learning Artificial Intelligence 195

Towards AI

NOVEMBER 17, 2023

Analyzing F1 from a fan and data science perspective could help gain useful insights. He was narrowly beaten by Max Verstappen in 2021 during the last Grand Prix of the season and his former teammate Nico Rosberg by 5 points in the last Grand Prix of the season in 2016.

Tableau 119

Tableau Data Science Data Analysis Data Analysis 119

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. Silas Falde is a sophomore undergraduate at the University of Michigan School of Engineering studying Data Science. Alejandro A.

Machine Learning 130

Machine Learning Machine Learning Data Science Natural Language Processing 130