phData

MAY 17, 2024

The brand-new Forecasting tool created on Snowflake Data Cloud Cortex ML allows you to do just that. What is Cortex ML, and Why Does it Matter? Cortex ML is Snowflake’s newest feature, added to enhance the ease of use and low-code functionality of your business’s machine learning needs.

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AWS Machine Learning Blog

FEBRUARY 5, 2025

Spack is a versatile package manager for supercomputers, Linux, and macOS that revolutionizes scientific software installation by allowing multiple versions, configurations, environments, and compilers to coexist on a single machine. About the Authors Nick Biso is a Machine Learning Engineer at AWS Professional Services.

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Tableau

DECEMBER 1, 2021

IPO in 2013. Tableau had its IPO at the NYSE with the ticker DATA in 2013. Even modern machine learning applications should use visual encoding to explain data to people. March 2013), which is our cloud product. Visual encoding is key to explaining ML models to humans. Release v1.0 Computer assistance.

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ODSC - Open Data Science

MAY 30, 2023

Be sure to check out his talk, “ ML Applications in Asset Allocation and Portfolio Management ,” there! For example, rising interest rates and falling equities already in 2013 and again in 2020 and 2022 led to drawdowns of risk parity schemes. His interests are financial markets, asset management, and machine learning applications.

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AWS Machine Learning Blog

JUNE 13, 2023

Finance and Investments Snowflake Which stock performed the best and the worst in May of 2013? Finance and Investments Snowflake What is the average volume stocks traded in July of 2013? Sovik Kumar Nath is an AI/ML solution architect with AWS. Sovik has published articles and holds a patent in ML model monitoring.

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Heartbeat

DECEMBER 27, 2023

Photo by Ian Taylor on Unsplash This article will comprehensively create, deploy, and execute machine learning application containers using the Docker tool. It will further explain the various containerization terms and the importance of this technology to the machine learning workflow. What is Docker?

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AWS Machine Learning Blog

NOVEMBER 12, 2024

In entered the Big Data space in 2013 and continues to explore that area. He is actively working on projects in the ML space and has presented at numerous conferences including Strata and GlueCon. He works with strategic customers who are using AI/ML to solve complex business problems. Arghya Banerjee is a Sr.

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AWS Machine Learning Blog

JUNE 23, 2023

Amazon SageMaker Data Wrangler is a single visual interface that reduces the time required to prepare data and perform feature engineering from weeks to minutes with the ability to select and clean data, create features, and automate data preparation in machine learning (ML) workflows without writing any code.

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ODSC - Open Data Science

FEBRUARY 28, 2023

Narrowing the communications gap between humans and machines is one of SAS’s leading projects in their work with NLP. To deliver on their commitment to enhancing human ingenuity, SAS’s ML toolkit focuses on automation and more to provide smarter decision-making. Cloudera For Cloudera, it’s all about machine learning optimization.

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AWS Machine Learning Blog

MARCH 10, 2025

Founded in 2013, Octus, formerly Reorg, is the essential credit intelligence and data provider for the worlds leading buy side firms, investment banks, law firms and advisory firms. With seven years of experience in AI/ML, his expertise spans GenAI and NLP, specializing in designing and deploying agentic AI systems.

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AWS Machine Learning Blog

MAY 24, 2023

In this three-part series, we present a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. In the following sections, we discuss the stages of the process in detail.

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AWS Machine Learning Blog

FEBRUARY 1, 2024

He entered the big data space in 2013 and continues to explore that area. He is actively working on projects in the ML space and has presented at numerous conferences, including Strata and GlueCon. Consider the following picture, which is an AWS view of the a16z emerging application stack for large language models (LLMs).

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AWS Machine Learning Blog

FEBRUARY 26, 2025

Pattern was founded in 2013 and has expanded to over 1,700 team members in 22 global locations, addressing the growing need for specialized ecommerce expertise. Pattern has over 38 trillion proprietary ecommerce data points, 12 tech patents and patents pending, and deep marketplace expertise.

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Tableau

DECEMBER 1, 2021

IPO in 2013. Tableau had its IPO at the NYSE with the ticker DATA in 2013. Even modern machine learning applications should use visual encoding to explain data to people. March 2013), which is our cloud product. Visual encoding is key to explaining ML models to humans. Release v1.0 Computer assistance.

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Tableau ML ML Database 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.

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AWS Machine Learning Blog

JANUARY 4, 2024

In entered the Big Data space in 2013 and continues to explore that area. He is actively working on projects in the ML space and has presented at numerous conferences including Strata and GlueCon. Enterprise Solutions Architect at AWS, experienced in Software Engineering, Enterprise Architecture, and AI/ML.

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AWS Machine Learning Blog

FEBRUARY 2, 2024

This notebook pulls the models from the SageMaker JumpStart ML hub and deploys them to two separate SageMaker real-time endpoints. In entered the Big Data space in 2013 and continues to explore that area. He is actively working on projects in the ML space and has presented at numerous conferences including Strata and GlueCon.

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Dataconomy

MARCH 12, 2024

ComCash, a well-known US-based B2B product company, started to work with MobiDev in 2013 to create a comprehensive ERP system tailored for the retail and restaurant sectors. Surprisingly not, these clients stay in close connection with MobiDev even today, while its tech stack became wider and transformed.

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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., Background The Markov Blanket Discovery (MBD) approach is a graphical model-based method used for feature selection and causal discovery in machine learning (Peng et al.,

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ML Review

FEBRUARY 26, 2018

Learning deep structured semantic models for web search using click through data[C]// ACM International Conference on Conference on Information & Knowledge Management. ACM, 2013: 2333–2338. [2] Neural machine translation by jointly learning to align and translate. Machine learning for dialog state tracking: A review.

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Mlearning.ai

MAY 18, 2023

The Viola-Jones algorithm utilized a machine learning approach called Haar cascades to detect objects, particularly faces, in images. AdaBoost , a machine learning algorithm, was employed to select and combine these features to create a robust classifier capable of distinguishing between object and non-object regions.

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Heartbeat

DECEMBER 14, 2023

From 2013 to 2023, he divided his time working for Google (Google Brain) and the University of Toronto, before publicly announcing his departure from Google in May 2023 citing concerns about the risks of artificial intelligence (AI) technology.

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Mlearning.ai

AUGUST 4, 2023

In this blog, we will try to deep dive into the concept of 1x1 convolution operation which appeared in the paper ‘Network in Network’ by Lin et al in (2013) and ‘Going Deeper with Convolutions’ by Szegedy et al (2014) that proposed the GoogLeNet architecture.

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Mlearning.ai

AUGUST 6, 2023

As described in the previous article , we want to forecast the energy consumption from August of 2013 to March of 2014 by training on data from November of 2011 to July of 2013. Experiments Before moving on to the experiments, let’s quickly remember what’s our task.

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Heartbeat

DECEMBER 8, 2023

This includes cleaning and transforming data, performing calculations, or applying machine learning algorithms. Editor’s Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners.

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Mlearning.ai

APRIL 1, 2023

It was first introduced in 2013 by a team of researchers at Google led by Tomas Mikolov. Word2Vec is a shallow neural network that learns to predict the probability of a word given its context (CBOW) or the context given a word (skip-gram). DBOW Architecture.

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ML Review

MAY 3, 2018

A somewhat-recent technique, taking inspiration from earlier work but popularised by Alex Graves’s in 2013/2014, it has grown in use partially from his memory-related work: the now-famous sequence generation paper [36] along with his work on neural turing machines. [37] Accelerating Machine Learning with Open Source Warp-CTC.

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Mlearning.ai

JUNE 21, 2023

FER, Facial Expression Recognition, is an open-source dataset released in 2013. It was introduced in a paper titled “Challenges in Representation Learning: A Report on Three Machine Learning Contests” by Pierre-Luc Carrier and Aaron Courville. BECOME a WRITER at MLearning.ai // FREE ML Tools // Clearview AI Mlearning.ai

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ML Review

JUNE 4, 2018

IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):595–603. Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):595–603. In: Machine Learning, 8, pp. 12, December.

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Mlearning.ai

JULY 31, 2023

Dosovitskiy, A., Kolesnikov, A., Weissenborn, D., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Uszkoreit, J., and Houlsby, N., An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. Available from: [link]. Mikolov, T., Corrado, G., and Dean, J., Efficient Estimation of Word Representations in Vector Space.

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Pickl AI

MARCH 7, 2025

It includes AI, Deep Learning, Machine Learning and more. High Demand for Data Scientists: Data Science roles have grown over 250% since 2013, with salaries reaching $153k/year. AI and Machine Learning Integration: AI-driven Data Science powers industries like healthcare, e-commerce, and entertainment34.

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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). References Harris, Z. Mikolov, T.,

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DrivenData Labs

DECEMBER 7, 2023

In the Unsupervised Wisdom Challenge , participants were tasked with identifying novel, effective methods of using unsupervised machine learning to extract insights about older adult falls from narrative medical record data. I enjoy participating in machine learning/data-science challenges and have been doing it for a while.

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Pickl AI

FEBRUARY 23, 2025

Apache Spark Apache Spark is a unified analytics engine for Big Data processing, with built-in modules for streaming, SQL, Machine Learning , and graph processing. Use Cases : Netflix utilizes Spark for real-time analytics and Machine Learning algorithms to enhance user experience through personalized recommendations.

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