Applied Data Science

AUGUST 2, 2021

Machine Learning In this section, we look beyond ‘standard’ ML practices and explore the 6 ML trends that will set you apart from the pack in 2021. This allows for a much richer interpretation of predictions, without sacrificing the algorithm’s power. Give this technique a try to take your team’s ML modelling to the next level.

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AWS Machine Learning Blog

JANUARY 13, 2023

Machine learning (ML) presents an opportunity to address some of these concerns and is being adopted to advance data analytics and derive meaningful insights from diverse HCLS data for use cases like care delivery, clinical decision support, precision medicine, triage and diagnosis, and chronic care management.

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IBM Journey to AI blog

AUGUST 12, 2024

Wearable devices (such as fitness trackers, smart watches and smart rings) alone generated roughly 28 petabytes (28 billion megabytes) of data daily in 2020. AIOPs refers to the application of artificial intelligence (AI) and machine learning (ML) techniques to enhance and automate various aspects of IT operations (ITOps).

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Towards AI

JULY 20, 2023

It’s also an area that stands to benefit most from automated or semi-automated machine learning (ML) and natural language processing (NLP) techniques. Over the past several years, researchers have increasingly attempted to improve the data extraction process through various ML techniques. This study by Bui et al.

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AWS Machine Learning Blog

APRIL 6, 2023

& AWS Machine Learning Solutions Lab (MLSL) Machine learning (ML) is being used across a wide range of industries to extract actionable insights from data to streamline processes and improve revenue generation. We also demonstrate the performance of our state-of-the-art point cloud-based product lifecycle prediction algorithm.

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AWS Machine Learning Blog

MARCH 23, 2023

Leidos has partnered with AWS to develop an approach to privacy-preserving, confidential machine learning (ML) modeling where you build cloud-enabled, encrypted pipelines. In this post, we show how to activate privacy-preserving ML predictions for the most highly regulated environments. What is cryptographic computing?

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ODSC - Open Data Science

MAY 25, 2023

Build tuned auto-ML pipelines, with common interface to well-known libraries (scikit-learn, statsmodels, tsfresh, PyOD, fbprophet, and more!) We’re always looking for new algorithms to be hosted, these are owned by their author and maintained together with us. Join us and help drive sktime forward as an organization! Something else?

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Smart Data Collective

MAY 10, 2022

billion in 2020. According to fraud detection firm Feedzai, banking fraud attempts soared 159% from the final three months of 2020 to the first quarter of 2021, with the majority performed online. billion to bank fraud in 2021 , up 70% from 2020. It has already made a big dent and is simultaneously proliferating.

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AWS Machine Learning Blog

SEPTEMBER 9, 2024

Additionally, network latency can become an issue for ML workloads on distributed systems, because data needs to be transferred between multiple machines. DLAMI provides ML practitioners and researchers with the infrastructure and tools to quickly build scalable, secure, distributed ML applications in preconfigured environments.

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AWS Machine Learning Blog

FEBRUARY 5, 2024

SageMaker geospatial capabilities make it easy for data scientists and machine learning (ML) engineers to build, train, and deploy models using geospatial data. Incorporating ML with geospatial data enhances the capability to detect anomalies and unusual patterns systematically, which is essential for early warning systems.

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AWS Machine Learning Blog

JULY 31, 2023

Machine learning (ML) methods can help identify suitable compounds at each stage in the drug discovery process, resulting in more streamlined drug prioritization and testing, saving billions in drug development costs (for more information, refer to AI in biopharma research: A time to focus and scale ).

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Flipboard

FEBRUARY 2, 2023

With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their knowledge of the games within the game of football. We then explain the details of the ML methodology and model training procedures.

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Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. NLP algorithms help computers understand, interpret, and generate natural language.

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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.

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AWS Machine Learning Blog

MAY 2, 2023

JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. in 2020 as a model where parametric memory is a pre-trained seq2seq model and the non-parametric memory is a dense vector index of Wikipedia, accessed with a pre-trained neural retriever. RAG models were introduced by Lewis et al.

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ML @ CMU

SEPTEMBER 15, 2023

2020) showed that TTA via reconstruction in slot-centric models fails due to a reconstruction segmentation trade-off: as the entity bottleneck loosens, there’s an improvement in reconstruction; however, segmentation subsequently deteriorates. In particular, Engelcke et al. We train Slot-TTA using reconstruction and segmentation losses.

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AWS Machine Learning Blog

APRIL 19, 2024

As per the AI/ML flywheel, what do the AWS AI/ML services provide? Based on the summary, the AWS AI/ML services provide a range of capabilities that fuel an AI/ML flywheel. According to the information provided in the summary, GPT-3 from 2020 had 175B (175 billion) parameters, while GPT-2 from 2019 had 1.5B (1.5

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Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody. Everybody can train a model.

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Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody. Everybody can train a model.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

In addition, AWS developed an open-source software package, AutoGluon , which supports diverse ML tasks, including those in the time series domain. AWS services address this need by the use of ML models coupled with quantile regression. For more information, refer to Easy and accurate forecasting with AutoGluon-TimeSeries. Trapero, J.

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AWS Machine Learning Blog

MAY 23, 2023

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of virtually infinite compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are rapidly adopting and using ML technologies to transform their businesses.

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AWS Machine Learning Blog

JUNE 7, 2023

Starting June 7th, both Falcon LLMs will also be available in Amazon SageMaker JumpStart, SageMaker’s machine learning (ML) hub that offers pre-trained models, built-in algorithms, and pre-built solution templates to help you quickly get started with ML. In 2022, Hoffman et al. Will Badr is a Sr.

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Defined.ai blog

OCTOBER 9, 2022

Fight sophisticated cyber attacks with AI and ML When “virtual” became the standard medium in early 2020 for business communications from board meetings to office happy hours, companies like Zoom found themselves hot in demand. There is also concern that attackers are using AI and ML technology to launch smarter, more advanced attacks.

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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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AWS Machine Learning Blog

JANUARY 13, 2023

It involves training a global machine learning (ML) model from distributed health data held locally at different sites. The eICU data is ideal for developing ML algorithms, decision support tools, and advancing clinical research. Training ML models with a single data point at a time is tedious and time-consuming.

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Becoming Human

MAY 19, 2023

between 2020 and 2025. Predictive Maintenance AI and machine learning algorithms support predicting machine failures in logistics operations by analyzing real-time data. Demand Forecasting The global AI use in the transportation and logistics market will increase by up to $3.8 billion by 2025. The estimated CAGR increase will be 15.8%

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Applied Data Science

OCTOBER 25, 2021

Solid theoretical background in statistics and machine learning, experience with state-of-the-art deep learning algorithms, expert command of tools for data pre-processing, database management and visualisation, creativity and story-telling abilities, communication and team-building skills, familiarity with the industry. charts and diagrams.

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AWS Machine Learning Blog

OCTOBER 17, 2023

billion RMB in 2020 and is expected to reach 810 billion RMB in 2025. Lame cow algorithm: Normalize the anomalies to obtain a score to determine the degree of cow lameness. As a result, we ultimately chose OC-SORT as our tracking algorithm. This requires switching to other algorithms to solve the problem.

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DataRobot

AUGUST 5, 2021

After Banjo CEO Damien Patton was exposed as a member of the Ku Klux Klan, including involvement in an anti-Semitic drive-by shooting, the state put the contract on hold and called in the state auditor to check for algorithmic bias and privacy risks in the software. The auditor’s report contained both good news and bad news.

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DrivenData Labs

JUNE 14, 2023

Accurate and performant algorithms are critical in flagging and removing inappropriate content. Prior to Baidu, he was a Research Intern in Baidu Research from 2021 to 2022 and a Remote Research Intern in Inception Institute of Artificial Intelligence from 2020 to 2021. His research interest is deep metric learning and computer vision.

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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. recognize objects; give meaningful answers to questions; reach decisions that traditional computer algorithms cannot make. This should come as no surprise.

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Heartbeat

AUGUST 1, 2023

Scale-Invariant Feature Transform (SIFT) This is an algorithm created by David Lowe in 1999. It’s a general algorithm that is known as a feature descriptor. After picking the set of images you desire to use, the algorithm will detect the keypoints of the images and store them in a database. It detects corners.

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AWS Machine Learning Blog

APRIL 3, 2023

JumpStart is the machine learning (ML) hub of Amazon SageMaker that offers a one-click access to over 350 built-in algorithms; pre-trained models from TensorFlow, PyTorch, Hugging Face, and MXNet; and pre-built solution templates. This page lists available end-to-end ML solutions, pre-trained models, and example notebooks.

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Google Research AI blog

FEBRUARY 14, 2023

In 2020, we introduced Performers as an approach to make Transformers more computationally efficient, which has implications for many applications beyond robotics. We’re also progressing towards making our learning algorithms more data efficient so that we’re not relying only on scaling data collection.

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AWS Machine Learning Blog

AUGUST 14, 2023

Amazon SageMaker JumpStart is a machine learning (ML) hub offering algorithms, models, and ML solutions. Answer: 2021 ### Context: NLP Cloud developed their API by mid-2020 and they added many pre-trained open-source models since then. Name]: Fred [Position]: Co-founder and CEO [Company]: Platform.sh Drain the pasta.']

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IBM Journey to AI blog

JULY 11, 2023

Better machine learning (ML) algorithms, more access to data, cheaper hardware and the availability of 5G have contributed to the increasing application of AI in the healthcare industry, accelerating the pace of change. Also, that algorithm can be replicated at no cost except for hardware. AI can also improve accessibility.

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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.

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