Ocean Protocol

MAY 2, 2024

Participants demonstrated outstanding ability in utilizing ML and AI to examine and predict startup success within the venture capital landscape and refine investment strategies. Annual Increase in Funding Amounts Since 2010, the average amount raised per startup funding round has increased by 15% annually.

Data Scientist 105

Data Scientist Decision Trees Analytics Analytics 105

Towards AI

MAY 8, 2024

I am referring to Vertex, the new machine learning platform that can help you train and deploy ML models and AI applications, and customize large language models (LLMs) for use in your AI-powered applications which is a new product set to be a game changer in the AI tech race. What is Google Earth Engine? What is Vertex?

Machine Learning 104

Machine Learning Machine Learning ML ML 104

AWS Machine Learning Blog

JUNE 18, 2024

The attempt is disadvantaged by the current focus on data cleaning, diverting valuable skills away from building ML models for sensor calibration. Qiong (Jo) Zhang , PhD, is a Senior Partner Solutions Architect at AWS, specializing in AI/ML. She holds 30+ patents and has co-authored 100+ journal/conference papers.

AWS 117

AWS AI AI Python 117

AWS Machine Learning Blog

DECEMBER 18, 2023

Amazon SageMaker Canvas Amazon SageMaker Canvas is a visual machine learning (ML) service that enables business analysts and data scientists to build and deploy custom ML models without requiring any ML experience or having to write a single line of code. Through Atlas Data Federation, data is extracted into Amazon S3 bucket.

Clustering 118

Clustering AWS Database ML 118

Tableau

DECEMBER 1, 2021

Nov 2010), which allowed users to drag and drop multiple tables on one sheet. Feb 2010), which allowed students, bloggers, and data journalists to share data visualizations more broadly on the web. May 2017), which was Tableau’s first exploration of Machine Learning (ML) technology to provide computer assistance. March 2021).

Tableau 98

Tableau ML ML Database 98

O'Reilly Media

SEPTEMBER 19, 2023

Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. But in its early form of a Hadoop-based ML library, Mahout still required data scientists to write in Java. If you wanted ML beyond what Mahout provided, you had to frame your problem in MapReduce terms. What more could we possibly want?

Hadoop 135

Hadoop Algorithm ML ML 135

AWS Machine Learning Blog

OCTOBER 23, 2024

At its core, Amazon Bedrock provides the foundational infrastructure for robust performance, security, and scalability for deploying machine learning (ML) models. The serverless infrastructure of Amazon Bedrock manages the execution of ML models, resulting in a scalable and reliable application.

AI 73

AI AI AWS Database 73

AWS Machine Learning Blog

JULY 15, 2024

About the Authors Na Yu is a Lead GenAI Solutions Architect at Mission Cloud, specializing in developing ML, MLOps, and GenAI solutions in AWS Cloud and working closely with customers. She specializes in leveraging AI and ML to drive innovation and develop solutions on AWS. Partner Solutions Architect at AWS, specializing in AI/ML.

AWS 112

AWS ML ML Big Data 112

Smart Data Collective

JANUARY 27, 2022

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? It is a promising position for those skilled in mechanics, electronics, data analytics and ML. This should come as no surprise. It is going to continue to change the workforce in the process. Big data technology is changing countless aspects of our lives.

Big Data 135

Big Data Big Data Internet of Things Data Analyst 135

Hacker News

FEBRUARY 24, 2022

The adoption of RISC-V, a free and open-source computer instruction-set architecture first introduced in 2010, is taking off like a rocket. But other groups, such as those interested in high-performance and data-center computing are also focusing on ML-related extensions.

AI 146

AI AI Machine Learning Machine Learning 146

AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). ML is often associated with PBAs, so we start this post with an illustrative figure. The ML paradigm is learning followed by inference. The union of advances in hardware and ML has led us to the current day.

AWS 91

AWS ML ML Clustering 91

Towards AI

JULY 19, 2023

The Continuing Story of Neural Magic Around New Year’s time, I pondered about the upcoming sparsity adoption and its consequences on inference w/r/t ML models. But first… a word from our sponsors: [link] If you enjoy the read, help us out by giving it a ?? and share with friends! The company is Neural Magic.

Natural Language Processing 98

Natural Language Processing Azure Python Artificial Intelligence 98

Flipboard

NOVEMBER 24, 2023

Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. 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.

Database 158

Database AWS ETL SQL 158

Towards AI

JULY 21, 2023

The cryptic book arrived on the internet in the mid 2010’s by the now wildly popular but mysterious internet group 3301. It uses the 2 model architecture: sparse search via Elasticsearch and then a ranker ML model.

Natural Language Processing 98

Natural Language Processing ML ML Python 98

Iguazio

AUGUST 3, 2023

While this data is not fresh, it is from 2010-2012, we added it to the list because of the holiday sales data that can be used and could still be relevant. Whether you’re a retailer giant, a small mom-and-pop shop or anywhere in the middle, ML can help you stand out competitively while overcoming the challenges of economic uncertainty.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

AWS Machine Learning Blog

SEPTEMBER 27, 2024

Let’s analyze the initial CloudFormation template: AWSTemplateFormatVersion: '2010-09-09' Description: > This CloudFormation stack sets up a serverless data processing pipeline triggered by file uploads to an S3 bucket. The step-by-step explanation is augmented with few-shot learning examples to develop an initial CloudFormation template.

AWS 116

AWS AI AI Computer Science 116

AWS Machine Learning Blog

DECEMBER 6, 2023

Overview of RAG RAG solutions are inspired by representation learning and semantic search ideas that have been gradually adopted in ranking problems (for example, recommendation and search) and natural language processing (NLP) tasks since 2010. You can implement this module using knowledge bases for Amazon Bedrock.

SQL 118

SQL AWS Analytics Analytics 118

O'Reilly Media

FEBRUARY 25, 2025

This meant that at the start of my project I had to instruct Claude to generate mock-up frontend code using those older libraries; otherwise by default it would use modern JavaScript frameworks like React or Svelte that would not integrate well with Python Tutor, which is written using 2010-era jQuery and friends.

AI 81

AI AI Python Computer Science 81

Mlearning.ai

JULY 20, 2023

The process to calculate the probability of rain involves determining the ratio of the total number of rainy days in June from 2010 to 2022 to the total number of days during the same period. Generates a bar chart depicting the count of rainy days in June from 2010 to 2022. . Filters out the specific Toronto weather station data.

Python 52

Python Algorithm Machine Learning Machine Learning 52

Towards AI

JULY 21, 2023

The Continuing Story of Neural Magic Around New Year’s time, I pondered about the upcoming sparsity adoption and its consequences on inference w/r/t ML models. But first… a word from our sponsors: If you enjoy the read, help us out by giving it a ?? and share with friends! The company is Neural Magic.

Natural Language Processing 52

Natural Language Processing Azure Python Artificial Intelligence 52

O'Reilly Media

JULY 20, 2021

After the release of the iPad in 2010 Craig Hockenberry discussed the great value of communal computing but also the concerns : “When you pass it around, you’re giving everyone who touches it the opportunity to mess with your private life, whether intentionally or not. This expectation isn’t a new one either.

ML 134

ML ML Machine Learning Machine Learning 134

ML Review

JUNE 4, 2018

eds) Computer Vision — ECCV 2010. 1 Multi-Modal Methods: Image Captioning (From Translation to Attention) was originally published in ML Review on Medium, where people are continuing the conversation by highlighting and responding to this story. Available: arXiv:1612.01887v2 [52] Kiros et al. 53] Farhadi et al. In: Daniilidis K.,

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

Mlearning.ai

JUNE 18, 2023

References [link] [link] [link] [link] BECOME a WRITER at MLearning.ai // FREE ML Tools // AI Film Critics Mlearning.ai Finally, we showed how to perform the transfer learning process and what the eventual predictions look like. The Jupyter notebook for the code above is available on GitHub.

Deep Learning 52

Deep Learning Deep Learning Python ML 52

Mlearning.ai

JANUARY 31, 2023

2010, doi: 10.1109/TBME.2010.2060723. Handel, J. -O. Nilsson and J. Rantakokko, “ Zero-Velocity Detection — An Algorithm Evaluation ,” in IEEE Transactions on Biomedical Engineering, vol. 2657–2666, Nov. 2010.2060723. [2] 2] Haviland, J. and Corke, P., A purely-reactive manipulability-maximising motion controller.

Clustering 52

Clustering Algorithm Machine Learning Machine Learning 52

DrivenData Labs

SEPTEMBER 10, 2024

Many teams combined technical skills in AI/ML with domain knowledge in neuroscience, aging, or healthcare. Paola Ruíz Puente is a Biomedical Engineer amd the AI/ML manager at IGC Pharma. Pablo Arbeláez is a distinguished researcher with over 20 years of experience using AI/ML in medicine, biology, and computer vision.

Machine Learning 147

Machine Learning Machine Learning Computer Science Computer Science 147

O'Reilly Media

APRIL 23, 2024

Google and Amazon were still atop their respective hills of web search and ecommerce in 2010, and Meta’s growth was still accelerating, but it was hard to miss that internet growth had begun to slow. Now a typical page of Amazon product search results consists of 16 ads and only four organic results. The market was maturing.

Algorithm 135

Algorithm AI AI Cloud Computing 135

O'Reilly Media

JULY 25, 2023

To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022. This choice also inspired me to call my project Swift Papers.

AI 98

AI AI ML ML 98

Hacker News

FEBRUARY 9, 2025

In 2010, grants from the NIH helped launch the Human Connectome Project (HCP) , a five-year effort aimed at mapping the structural and functional connectivity of the human brain using non-invasive techniques such as diffusion MRI (dMRI) and functional MRI (fMRI). Surprisingly, humans are better than ML at spotting these errors.

Algorithm 149

Algorithm Artificial Intelligence Artificial Intelligence AI 149

AWS Machine Learning Blog

NOVEMBER 26, 2024

About the Authors Mithil Shah is a Principal AI/ML Solution Architect at Amazon Web Services. He helps commercial and public sector customers use AI/ML to achieve their business outcome. Santosh Kulkarni is an Senior Solutions Architect at Amazon Web Services specializing in AI/ML.

ML 95

ML ML AI AI 95

AWS Machine Learning Blog

FEBRUARY 19, 2025

Rather than using probabilistic approaches such as traditional machine learning (ML), Automated Reasoning tools rely on mathematical logic to definitively verify compliance with policies and provide certainty (under given assumptions) about what a system will or wont do. However, its important to understand its limitations.

AWS 74

AWS Natural Language Processing Machine Learning Machine Learning 74

AWS Machine Learning Blog

NOVEMBER 18, 2024

Understanding the DE-SynPUF dataset The DE-SynPUF dataset is a synthetic database released by the Centers for Medicare and Medicaid Services (CMS), designed to simulate Medicare claims data from 2008–2010. Due to file size limitations, each data type in the CMS Linkable 2008–2010 Medicare DE-SynPUF database is released in 20 separate samples.

SQL 96

SQL Database AWS AI 96