Pickl AI

DECEMBER 2, 2024

Introduction In today’s digital age, the volume of data generated is staggering. According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Flipboard

NOVEMBER 24, 2023

Since joining SnapLogic in 2010, Greg has helped design and implement several key platform features including cluster processing, big data processing, the cloud architecture, and machine learning. He currently is working on Generative AI for data integration.

Database 159

Database AWS ETL SQL 159

O'Reilly Media

NOVEMBER 28, 2023

The top five responses clustered between 45 and 50%: unexpected outcomes (49%), security vulnerabilities (48%), safety and reliability (46%), fairness, bias, and ethics (46%), and privacy (46%). We weren’t surprised that AI programming (66%) and data analysis (59%) are the two most needed. We expect others to follow.

AI 138

AI AI Data Analysis Data Analysis 138

Explosion

MAY 17, 2023

You might want to view the data in a variety of ways. For instance, you could extract a few noisy metrics, such as a general “positivity” sentiment score that you track in a dashboard, while you also produce more nuanced clustering of the posts which are reviewed periodically in more detail.

Supervised Learning 135

Supervised Learning Natural Language Processing Clustering Machine Learning 135

AWS Machine Learning Blog

MAY 2, 2023

There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). They’re mostly trained on general domain corpora, making them less effective on domain-specific tasks.

Algorithm 99

Algorithm Machine Learning Machine Learning Natural Language Processing 99

AWS Machine Learning Blog

JANUARY 13, 2023

Finally, monitor and track the FL model training progression across different nodes in the cluster using the weights and biases (wandb) tool, as shown in the following screenshot. Scientific data 5.1 2018): 1-13. [2] Please follow the steps listed here to install wandb and setup monitoring for this solution. Reference. [1]

AWS 96

AWS Analytics Analytics Machine Learning 96

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.

ML 72

ML ML Deep Learning Deep Learning 72

Heartbeat

AUGUST 23, 2023

These algorithms help legal professionals swiftly discover essential information, speed up document review, and assure comprehensive case analysis through approaches such as document clustering and topic modeling. Natural language processing and machine learning as practical toolsets for archival processing.

Natural Language Processing 52

Natural Language Processing Algorithm Artificial Intelligence Artificial Intelligence 52

ODSC - Open Data Science

JULY 11, 2023

Both types of computing can be done without a data center, but it would require specialized equipment and a significant investment. For HPC, it’s possible to use a cluster of powerful workstations or servers, each with multiple processors and large amounts of memory. Data center career paths (techtarget.com) 10. On [link] 9.

Data Lakes 40

Data Lakes Cloud Computing AI AI 40

Mlearning.ai

FEBRUARY 28, 2023

In 2018–2019, while new car sales were recorded at 3.6 The next step post that would be to cluster different sets of data and see if multiple models should be created for different locations and car types. For this reason, Cars4U was created as a budding tech start-up that aims to find footholds in this market.

Python 52

Python EDA Exploratory Data Analysis Data Analysis 52

Hacker News

JANUARY 9, 2024

One’s not dealing with some (usually very expensive) “just for PDEs” package; what we now have is a “consumerized” way to handle PDEs whenever they’re needed—for engineering, science, or whatever. but with things like clustering). We’ve had ExternalEvaluate for evaluating Python code since 2018. Let’s start with Python.

Python 181

Python Algorithm Machine Learning Machine Learning 181

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