Data Science Dojo

MAY 3, 2023

Most Data Science enthusiasts know how to write queries and fetch data from SQL but find they may find the concept of indexing to be intimidating. This blog will aim to clear concepts of how this additional tool can help you efficiently access data, especially when there are clear patterns involved.

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Python Clustering SQL Data Science 369

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

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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.

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Deep Learning Deep Learning Data Science Natural Language Processing 111

Google Research AI blog

FEBRUARY 28, 2023

For example, supporting equitable student persistence in computing research through our Computer Science Research Mentorship Program , where Googlers have mentored over one thousand students since 2018 — 86% of whom identify as part of a historically marginalized group. See some of the datasets and tools we released in 2022 listed below.

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ML ML Deep Learning Deep Learning 72

NYU Center for Data Science

JANUARY 27, 2023

Congrats on your paper being accepted into the NeurIPS 2022 Machine Learning and the Physical Sciences workshop. Thus, what became a year and a half of radiance fields and star clusters was born! CDS spoke with Harlan about the project, deep learning methods in the field of astronomy, and advice for current CDS students.

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Deep Learning Deep Learning Machine Learning Machine Learning 98

IBM Journey to AI blog

DECEMBER 20, 2023

ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. K-means clustering is commonly used for market segmentation, document clustering, image segmentation and image compression.

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ODSC - Open Data Science

JUNE 20, 2025

While the transformer design dates back to 2017, it exploded into public consciousness in 2022 with ChatGPT. Open-source LLMs allow researchers and enterprises to determine how the models are trained, which datasets are used, and where the models are hosted — whether on local CPUs or custom GPU clusters.

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ODSC - Open Data Science

JUNE 6, 2023

This is due to a deep disconnect between data engineering and data science practices. Historically, our space has perceived streaming as a complex technology reserved for experienced data engineers with a deep understanding of incremental event processing. October 2022).

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Machine Learning Machine Learning Data Science Clustering 90

AWS Machine Learning Blog

JANUARY 26, 2023

The Best Egg data science team uses Amazon SageMaker Studio for building and running Jupyter notebooks. The data science team must sometimes work with limited training data in the order of tens of thousands of records given the nature of their use cases.

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ML ML Data Scientist AWS 101

phData

NOVEMBER 9, 2023

In 2022, the term data mesh has started to become increasingly popular among Snowflake and the broader industry. This data architecture aims to solve a lot of the problems that have plagued enterprises for years.

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ODSC - Open Data Science

MAY 30, 2023

The year 2022 presented two significant turnarounds for tech: the first one is the immediate public visibility of generative AI due to ChatGPT. For example, rising interest rates and falling equities already in 2013 and again in 2020 and 2022 led to drawdowns of risk parity schemes.

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ML ML Machine Learning Data Science 52

Snorkel AI

MAY 10, 2023

William Huang is a senior data scientist at Capital One. He presented “Data and Manual Annotation Monitoring for Training Data Management” at Snorkel AI’s The Future of Data-Centric AI event in 2022. Today I’ll be talking about monitoring for training data maintenance and looking at manual annotation.

Data Science 52

Data Science Data Scientist AI AI 52

Snorkel AI

MAY 10, 2023

William Huang is a senior data scientist at Capital One. He presented “Data and Manual Annotation Monitoring for Training Data Management” at Snorkel AI’s The Future of Data-Centric AI event in 2022. Today I’ll be talking about monitoring for training data maintenance and looking at manual annotation.

Data Science 52

Data Science Data Scientist AI AI 52

ODSC - Open Data Science

OCTOBER 18, 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. billion in 2022, an increase of 21.3% billion in 2022, an increase of 21.3% It continues with the selection of a clustering algorithm and the fine-tuning of a model to create clusters.

Machine Learning 52

Machine Learning Machine Learning Clustering Data Science 52

Ocean Protocol

SEPTEMBER 20, 2023

There were 4 clusters of users that this report broke down to understand the behavior and tendencies of different users. Cluster 2 : Swap Count : Extremely High (around 54,127 swaps on average) Volume in USD : Extremely High (around $4.43 Cluster 3 : Swap Count : Low (around 10 swaps on average) Volume in USD : Moderate (around $60.25

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Clustering Exploratory Data Analysis Data Scientist Data Analysis 98

AWS Machine Learning Blog

NOVEMBER 3, 2023

We analyzed around 215 matches from the Bundesliga 2022–2023 season. Simultaneously, the shot speed data finds its way to a designated topic within our MSK cluster. His skills and areas of expertise include application development, data science, and machine learning (ML). fast shots.

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AWS Apache Kafka Data Scientist Data Science 128

AWS Machine Learning Blog

JANUARY 30, 2023

In these cases, you might be able to speed up the process by distributing training over multiple machines or processes in a cluster. This post discusses how SageMaker LightGBM helps you set up and launch distributed training, without the expense and difficulty of directly managing your training clusters. The processed data takes 8.5

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Algorithm Clustering Machine Learning Machine Learning 104

PyImageSearch

JUNE 19, 2023

Each service uses unique techniques and algorithms to analyze user data and provide recommendations that keep us returning for more. Figure 5 provides an overview of the various data mining techniques commonly used in recommendation engines today, and we’ll delve into each of these techniques in more detail.

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K-nearest Neighbors Clustering Algorithm Deep Learning 57

AWS Machine Learning Blog

MAY 15, 2023

Solution overview Six people from Getir’s data science team and infrastructure team worked together on this project. Algorithm Selection Amazon Forecast has six built-in algorithms ( ARIMA , ETS , NPTS , Prophet , DeepAR+ , CNN-QR ), which are clustered into two groups: statististical and deep/neural network.

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Algorithm Data Scientist Machine Learning Machine Learning 100

AWS Machine Learning Blog

MARCH 30, 2023

This style of play is also evident when you look at the ball recovery times for the first 24 match days in the 2022/23 season. Let’s look at certain games played by Cologne in the 2022/23 season. His skills and areas of expertise include application development, data science, machine learning, and big data.

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AWS Machine Learning Machine Learning Apache Kafka 101

ODSC - Open Data Science

JUNE 19, 2024

The company has built a second supercomputing cluster, connecting over 10,000 Nvidia processors, enabling the training of large AI models. This investment was made before US restrictions on advanced chip exports to China took effect in mid-2022. DeepSeek-V2’s performance has been impressive.

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AI AI Data Science Computer Science 52

AWS Machine Learning Blog

APRIL 12, 2023

With “Science of Gaming” as their core philosophy, they have enabled a vision of end-to-end informatics around game dynamics, game platforms, and players by consolidating orthogonal research directions of game AI, game data science, and game user research. The already existing solution through Step Functions had limitations.

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ML ML AWS Deep Learning 110

Flipboard

MARCH 9, 2023

For example, NVIDIA Triton Inference Server, a high-performance open-source inference software, was natively integrated into the SageMaker ecosystem in 2022. Prior to this role, he was the Head of Data Science for Amazon’s EU Customer Service.

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ODSC - Open Data Science

APRIL 25, 2023

The dataset “ Domestic and international collaboration in AI publications “ contains data on the international collaboration in AI scientific publications. For this post, I selected AI collaboration data for 2022. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

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Data Science Computer Science Algorithm Computer Science 52

Snorkel AI

SEPTEMBER 20, 2023

The introduction of ChatGPT in November 2022 upended the AI landscape. Corporate leaders soon urged data science teams to use large language models (LLMs), and data science teams turned to fine-tuning and retrieval-augmented generation (RAG) to mitigate generative AI (genAI) shortcomings.

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Data Science Artificial Intelligence Artificial Intelligence Database 59

Flipboard

JULY 10, 2023

By using our mathematical notation, the entire training process of the autoencoder can be written as follows: Figure 2 demonstrates the basic architecture of an autoencoder: Figure 2: Architecture of Autoencoder (inspired by Hubens, “Deep Inside: Autoencoders,” Towards Data Science , 2018 ).

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Pickl AI

DECEMBER 14, 2023

It is a mathematical framework that aims to capture the underlying patterns, trends, and structures present in the data. In 2022, around 97% of the companies invested in Big Data and 91% of them invested in AI, clearly stamping that data is becoming the linchpin for successful business. The Data Analytics course by Pickl.AI

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Data Analysis Data Analysis Decision Trees Analytics 52

Data Science 101

OCTOBER 12, 2023

In 2022 I actually joined the lab and here we are today. My data sources are usually news, logs and web documents. It’s petabytes of data, so a lot of my time is spent processing it. I mostly use U-SQL, a mix between C# and SQL that can distribute in very large clusters. I use PyTorch for that.

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Azure Computer Science Computer Science Clustering 64

AWS Machine Learning Blog

FEBRUARY 7, 2025

Data science teams often face challenges when transitioning models from the development environment to production. Usually, there is one lead data scientist for a data science group in a business unit, such as marketing. ML Dev Account This is where data scientists perform their work.

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ML ML Data Scientist AWS 65

AWS Machine Learning Blog

FEBRUARY 10, 2023

Through a collaboration between the Next Gen Stats team and the Amazon ML Solutions Lab , we have developed the machine learning (ML)-powered stat of coverage classification that accurately identifies the defense coverage scheme based on the player tracking data. In this post, we deep dive into the technical details of this ML model.

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ML ML Machine Learning Machine Learning 98

Snorkel AI

SEPTEMBER 20, 2023

The introduction of ChatGPT in November 2022 upended the AI landscape. Corporate leaders soon urged data science teams to use large language models (LLMs), and data science teams turned to fine-tuning and retrieval-augmented generation (RAG) to mitigate generative AI (genAI) shortcomings.

Data Science 52

Data Science Data Scientist Database AI 52

DrivenData Labs

JANUARY 22, 2025

Most winners and other competitive solutions had cross-validation scores clustered in the range from 8590 KAF, with 3rd place winner rasyidstat standing out with score of 79.5 Unlike typical data science competitions, there's no predefined training dataset provided. Won by rasyidstat. quantile corrections.

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Mlearning.ai

JULY 6, 2023

2022’s paper. Hence it is possible to train the downstream task with a few labeled data. 2022 Deep learning notoriously needs a lot of data in training. However, in remote sensing, getting a sufficient number of labeled data remains a challenge. 2022 Figure 3. 2022 Figure 4. Image: Wang et al.,

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AWS Machine Learning Blog

MAY 10, 2023

To run this job repeatedly on a schedule, you had to set up, configure, and oversee cloud infrastructure to automate deployments, resulting in a diversion of valuable time away from core data science development activities.

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AWS Data Scientist ML ML 101

Pickl AI

DECEMBER 3, 2024

billion in 2022 and is projected to reach USD 505.42 It is a central hub for researchers, data scientists, and Machine Learning practitioners to access real-world data crucial for building, testing, and refining Machine Learning models. Clustering : Datasets that involve grouping data into clusters without predefined labels.

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Machine Learning Machine Learning Clustering Supervised Learning 52

NYU Center for Data Science

DECEMBER 7, 2022

The NLP Community Survey , which asks many of these questions and more, was conducted from May to June 2022. Other participating CDS authors include CDS PhD students, Angelica Chen , Nikita Nangia , and Jason Phang as well as CDS Associate Professor of Linguistics and Data Science, Sam Bowman.

Machine Learning 52

Machine Learning Machine Learning Data Science Clustering 52

DrivenData Labs

DECEMBER 10, 2023

Team / participant Features Models Data sources NASAPalooza Paper search, paper recommendation, doc upload, paper summarization, chatbot, people search, keyword extraction, topic trends, dataset analysis GPT-3.5 His expertise and experience make him a valuable asset in the field of data science and Generative AI.

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