Mlearning.ai

JUNE 6, 2023

In today’s blog, we will see some very interesting Python Machine Learning projects with source code. This list will consist of Machine learning projects, Deep Learning Projects, Computer Vision Projects , and all other types of interesting projects with source codes also provided.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

Towards AI

JULY 17, 2023

Colab allows anybody to write and execute arbitrary python code through the browser, and is especially well suited to machine learning, data analysis and education. Colab was first introduced in 2017 as a research project by Google.

Machine Learning 98

Machine Learning Machine Learning Data Analysis Data Analysis 98

Mlearning.ai

APRIL 8, 2023

SOTA (state-of-the-art) in machine learning refers to the best performance achieved by a model or system on a given benchmark dataset or task at a specific point in time. The earlier models that were SOTA for NLP mainly fell under the traditional machine learning algorithms. Citation: Article from IBM archives 2.

Natural Language Processing 98

Natural Language Processing Algorithm Machine Learning Machine Learning 98

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. Advances in neural information processing systems 30 (2017).

ML 84

ML ML Machine Learning Machine Learning 84

DrivenData Labs

DECEMBER 11, 2024

The startup cost is now lower to deploy everything from a GPU-enabled virtual machine for a one-off experiment to a scalable cluster for real-time model execution. Deep learning - It is hard to overstate how deep learning has transformed data science. The second step change has been to use that information to learn from.

Data Science 147

Data Science Data Scientist Machine Learning Machine Learning 147

AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). Learning means identifying and capturing historical patterns from the data, and inference means mapping a current value to the historical pattern. Thirdly, the presence of GPUs enabled the labeled data to be processed.

AWS 103

AWS ML ML Clustering 103

Tableau

DECEMBER 1, 2021

Even modern machine learning applications should use visual encoding to explain data to people. Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. Gestalt properties including clusters are salient on scatters. Let’s take a look at each. . Query innovation.

Tableau 145

Tableau ML ML Database 145

Flipboard

NOVEMBER 24, 2023

The humble beginnings with Iris In 2017, SnapLogic unveiled Iris, an industry-first AI-powered integration assistant. Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. He currently is working on Generative AI for data integration. Sandeep holds an MSc.

Database 159

Database AWS ETL SQL 159

Dataconomy

APRIL 26, 2023

The strategic value of IoT development and data analytics Sierra Wireless Sierra Wireless , a wireless communications equipment designer and service provider, has been honing its focus on IoT software and managed services following its acquisition of M2M Group, a cluster of companies dedicated to IoT connectivity, in 2020.

Internet of Things 156

Internet of Things Azure AWS Cloud Computing 156

The MLOps Blog

DECEMBER 28, 2022

Building ML team Following the surge in ML use cases that have the potential to transform business, the leaders are making a significant investment in ML collaboration, building teams that can deliver the promise of machine learning. Machine learning collaboration Gigaforce allocates work based on the phase of the project.

ML 78

ML ML Data Scientist Machine Learning 78

AWS Machine Learning Blog

MAY 16, 2024

In this post, we share how LotteON improved their recommendation service using Amazon SageMaker and machine learning operations (MLOps). Recommendation model using NCF NCF is an algorithm based on a paper presented at the International World Wide Web Conference in 2017.

AWS 122

AWS ML ML Deep Learning 122

Tableau

DECEMBER 1, 2021

Even modern machine learning applications should use visual encoding to explain data to people. Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. Gestalt properties including clusters are salient on scatters. Let’s take a look at each. . Query innovation.

Tableau 98

Tableau ML ML Database 98

Towards AI

APRIL 8, 2024

Songs that frequently co-occur or appear in similar contexts will have vector representations that are clustered closer together in the high-dimensional embedding space. million unique users, capturing listens across 25 million unique songs gathered between 2017 and 2023.

Natural Language Processing 81

Natural Language Processing Clustering Algorithm AI 81

Cambridge Intelligence

OCTOBER 19, 2023

According to Gartner’s 2022 Market Guide for Graph Database Management , native options “may be more applicable for resource-heavy processing involving real-time calculations, machine learning or even standard queries on graphs that have several billions of nodes and edges”.

Database 59

Database Azure SQL Analytics 59

Mlearning.ai

MARCH 9, 2023

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., an image) with the intention of causing a machine learning model to misclassify it (Goodfellow et al., 2012; Otsu, 1979; Long et al.,

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

PyImageSearch

OCTOBER 30, 2023

We will now examine how Spotify uses these data sources and advance machine learning techniques to address the music recommendation problem. Spotify also establishes a taste profile by grouping the music users often listen into clusters. These clusters are not based on explicit attributes (e.g., genre, artist, etc.)

K-nearest Neighbors 67

K-nearest Neighbors Algorithm Clustering Machine Learning 67

PyImageSearch

JULY 3, 2023

Machine Learning for Page Generation A good utility function that checks the relevance of a row is the core of building a personalized home page. Machine learning (ML) approaches can be used to learn utility functions by training it on historical data of which home pages have been created for members (i.e.,

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

Explosion

AUGUST 3, 2017

Machine learning systems are built from both code and data. That’s why we’re pleased to introduce Prodigy , a downloadable tool for radically efficient machine teaching. Machine learning is an inherently uncertain technology, but the waterfall annotation process relies on accurate upfront planning.

Supervised Learning 52

Supervised Learning Python Machine Learning Machine Learning 52

Mlearning.ai

DECEMBER 21, 2023

Embeddings All Machine Learning/AI models work with numerical data. MTEB Leaderboard at Hugging Face evaluates almost all available embedding models across seven use cases —  Classification, Clustering, Pair Classification, Reranking, Retrieval, Semantic Textual Similarity (STS) and Summarization. Precise Similarity Search.

Database 94

Database AI AI Machine Learning 94

The MLOps Blog

JANUARY 30, 2025

This rules out traditional machine-learning hyperparameter optimization (HPO) methods that rely on systematically exploring the hyperparameter space by training many models with slightly different configurations. The learning rate is governed by a function very similar to the one for the cosine schedule: LR(t) = LR min + 0.5 (LR

Machine Learning 64

Machine Learning Machine Learning Deep Learning Deep Learning 64

Hacker News

JANUARY 9, 2024

The LLMs Have Landed The machine learning superfunctions Classify and Predict first appeared in Wolfram Language in 2014 ( Version 10 ). We’ve had the ability to do global computations about solar eclipses for some time (actually since soon before the 2017 eclipse ). but with things like clustering).

Python 181

Python Algorithm Machine Learning Machine Learning 181

The MLOps Blog

JUNE 5, 2023

David : Unusual is a venture fund, and my current focus is on our Machine Learning and Data Infrastructure Investments. I lead all the work we do, thinking about the future of machine learning infrastructure and data infrastructure and a little bit about DevTools more generally.

ML 52

ML ML Machine Learning Machine Learning 52

Snorkel AI

MARCH 31, 2023

With foundation models, we’re at the cusp of yet another paradigm shift in AI and machine learning. If we look back at the traditional machine learning era, starting in 2000, the focus then was to solve largely analytical problems using machine learning.

Deep Learning 52

Deep Learning Deep Learning AI AI 52

ML Review

MARCH 5, 2019

For instance, consider the sentence “ I like machine learning ” and a context window of size 1. Then, the words which give context, or appear in the context window around the word “ machine” , are “ like ” and “ learning ” (the window is considered both on the left and on the right). S., & Dean, J. In NIPS (pp.

AI 40

AI AI Clustering Machine Learning 40

AWS Machine Learning Blog

NOVEMBER 6, 2024

Amazon Transcribe is a machine learning (ML) based managed service that automatically converts speech to text, enabling developers to seamlessly integrate speech-to-text capabilities into their applications. This is where AI and machine learning (ML) come into play, offering a future-ready approach to revolutionize IT operations.

AWS 113

AWS Machine Learning Machine Learning ML 113