Dataconomy

MARCH 19, 2025

Formerly known as Google Research, it was rebranded during the 2018 Google I/O conference. Data science services Through Google Cloud, users can access ML infrastructure and data science capabilities, empowering organizations to leverage AI for their specific needs.

AI 140

AI AI Natural Language Processing Machine Learning 140

ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there! Due to the tsunami of data available to organizations today, artificial intelligence (AI) and machine learning (ML) are increasingly important to businesses seeking competitive advantage through digital transformation.

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ODSC - Open Data Science

MARCH 22, 2023

Be sure to check out his session, “ Improving ML Datasets with Cleanlab, a Standard Framework for Data-Centric AI ,” there! Anybody who has worked on a real-world ML project knows how messy data can be. Everybody knows you need to clean your data to get good ML performance. How does cleanlab work?

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ODSC - Open Data Science

SEPTEMBER 21, 2023

Secondly, to be a successful ML engineer in the real world, you cannot just understand the technology; you must understand the business. Some typical examples are given in the following table, along with some discussion as to whether or not ML would be an appropriate tool for solving the problem: Figure 1.1:

Machine Learning 98

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Pickl AI

APRIL 10, 2023

So, if you are eyeing your career in the data domain, this blog will take you through some of the best colleges for Data Science in India. There is a growing demand for employees with digital skills The world is drifting towards data-based decision making In India, a technology analyst can make between ₹ 5.5

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AWS Machine Learning Blog

FEBRUARY 6, 2024

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

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AWS Machine Learning Blog

APRIL 11, 2025

Announced at re:Invent 2018, it puts machine learning in the hands of every developer through the fun and excitement of developing and racing self-driving remote control cars. Idries is the Product Marketing Manager for AWS AI/ML Gamified Learning Programs.

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AWS Machine Learning Blog

MARCH 8, 2023

Manager Data Science at Marubeni Power International. MPII is using a machine learning (ML) bid optimization engine to inform upstream decision-making processes in power asset management and trading. This solution helps market analysts design and perform data-driven bidding strategies optimized for power asset profitability.

AWS 98

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Towards AI

JULY 20, 2023

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

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AWS Machine Learning Blog

AUGUST 7, 2023

AWS ProServe solved this use case through a joint effort between the Generative AI Innovation Center (GAIIC) and the ProServe ML Delivery Team (MLDT). AWS received about 100 samples of labeled data from the customer, which is a lot less than the 1,000 samples recommended for fine-tuning an LLM in the data science community.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

We are actively working on extending our methods to additional domains, such as computer vision, but be aware that our efficiency improvements do not translate to all ML domains at this time. Graviton Technical Guide is a good resource to consider while evaluating your ML workloads to run on Graviton.

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Mlearning.ai

MAY 15, 2023

Photo by Andrew Neel on Unsplash Introduction If you are working or have worked on any data science task then you definitely used pandas. So, pandas is a library which helps with performing data ingestion and transformations. apply(lambda x: x.year) df.groupby('year')['Sales'].mean() Yearly average sales.

Data Science 52

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Alation

FEBRUARY 20, 2020

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. Subscribe to Alation's Blog.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Analytics 52

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. Each season consists of around 17,000 plays.

ML 90

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ODSC - Open Data Science

MAY 4, 2023

Amazon’s AI Resume Screening In 2018, Amazon abandoned an AI-powered resume screening tool after it was found to be biased against women. If you are curious to know how your AI/ML models in production might be failing under your noses and how to go about fixing them, be sure to catch my session, “ Why do AI Models go Rogue?

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AWS Machine Learning Blog

MAY 14, 2024

RLHF is a technique that combines rewards and comparisons, with human feedback to pre-train or fine-tune a machine learning (ML) model. Response before RLHF : SageMaker stores code in ML storage volumes Response after RLHF : SageMaker stores code in ML storage volumes, secured by security groups and optionally encrypted at rest.

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AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose a federated learning (FL) framework, based on open-source FedML on AWS, which enables analyzing sensitive HCLS data. It involves training a global machine learning (ML) model from distributed health data held locally at different sites. Import the data loader into the training script.

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Iguazio

SEPTEMBER 20, 2023

20 Newsgroups A dataset containing roughly 20,000 newsgroup documents spanning a variety of topics, for text classification, text clustering and similar ML applications. million articles from 20,000 news sources across a seven day period in 2017 and 2018. Long-Form Content 14. The newsgroups are: comp.graphics, comp.os.ms-windows.misc,

Machine Learning 96

Machine Learning Machine Learning Database Data Scientist 96

Pickl AI

MAY 16, 2023

If you are a Data Scientist, then your LinkedIn profile should be flooded with information on Data Science’s latest development in this domain, such that it instantly garners the attention of recruiters as well as your contemporaries. In fact, these industries majorly employ Data Scientists.

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AWS Machine Learning Blog

JUNE 5, 2023

In this post, we show you how to train the 7-billion-parameter BloomZ model using just a single graphics processing unit (GPU) on Amazon SageMaker , Amazon’s machine learning (ML) platform for preparing, building, training, and deploying high-quality ML models. BloomZ is a general-purpose natural language processing (NLP) model.

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Flipboard

JULY 10, 2023

By using our mathematical notation, the entire training process of the autoencoder can be written as follows: Figure 2 demonstrates the basic architecture of an autoencoder: Figure 2: Architecture of Autoencoder (inspired by Hubens, “Deep Inside: Autoencoders,” Towards Data Science , 2018 ).

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Heartbeat

FEBRUARY 6, 2023

When you’re working on an enterprise scale, managing your ML models can be tricky. YOLOv3 is a newer version of YOLO and was released in 2018. During training, the model is presented with an image with its own real labels and learns to predict the class and position of each object in the image, as well as the corresponding mask.

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Algorithm Deep Learning Deep Learning ML 90

Flipboard

NOVEMBER 24, 2023

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. Clay Elmore is an AI/ML Specialist Solutions Architect at AWS. He is the author of the upcoming book “What’s Your Problem?”

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Database AWS ETL SQL 156

Heartbeat

MARCH 14, 2023

photo from Data Science Central Industrial automation, security and surveillance, and service robots are just a few examples of fields that might benefit from robotics’ ability to identify and track objects. A combination of simulated and real-world data was used to train the system, enabling it to generalize to new objects and tasks.

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Mlearning.ai

JANUARY 26, 2023

Priorities for Data Cubes evolution Users and developers discussed some of the main trends in the evolution of data cubes and best practices moving forward, such as how to overcome bottlenecks, and key technologies to improve efficiency and accessibility. 2/2) What should be the priority for the data cube evolution? 2018, July).

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Chatbots Life

MAY 16, 2023

10Clouds is a software consultancy, development, ML, and design house based in Warsaw, Poland. Deeper Insights has six years of experience in building AI solutions for large enterprise and scale-up clients, a suite of AI models, and data visualization dashboards that enable them to quickly analyze and share insights.

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AI AI Natural Language Processing Artificial Intelligence 92

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

O'Reilly Media

NOVEMBER 28, 2023

AI is the next generation of what we called “data science” a few years back, and data science represented a merger between statistical modeling and software development. The next most needed skill is operations for AI and ML (54%). That’s not the same as failure, and 2018 significantly predates generative AI.

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AWS Machine Learning Blog

MAY 2, 2023

Text generation using RAG with LLMs enables you to generate domain-specific text outputs by supplying specific external data as part of the context fed to LLMs. JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. SageMaker Savings Plans apply only to SageMaker ML Instance usage.

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Algorithm Machine Learning Machine Learning Natural Language Processing 99

How to Learn Machine Learning

OCTOBER 10, 2024

The quality of your training data in Machine Learning (ML) can make or break your entire project. Real-Life Examples of Poor Training Data in Machine Learning Amazon’s Hiring Algorithm Disaster In 2018, Amazon made headlines for developing an AI-powered hiring tool to screen job applicants. Sounds great, right?

Machine Learning 52

Machine Learning Machine Learning Data Quality Algorithm 52

Google Research AI blog

FEBRUARY 28, 2023

Adherence to such public health programs is a prevalent challenge, so researchers from Google Research and the Indian Institute of Technology, Madras worked with ARMMAN to design an ML system that alerts healthcare providers about participants at risk of dropping out of the health information program. certainty when used correctly.

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Snorkel AI

MAY 12, 2023

Three experts from Capital One ’s data science team spoke as a panel at our Future of Data-Centric AI conference in 2022. Please welcome to the stage, Senior Director of Applied ML and Research, Bayan Bruss; Director of Data Science, Erin Babinski; and Head of Data and Machine Learning, Kishore Mosaliganti.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

MAY 12, 2023

Three experts from Capital One ’s data science team spoke as a panel at our Future of Data-Centric AI conference in 2022. Please welcome to the stage, Senior Director of Applied ML and Research, Bayan Bruss; Director of Data Science, Erin Babinski; and Head of Data and Machine Learning, Kishore Mosaliganti.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Mlearning.ai

JUNE 7, 2023

I worked on an early conversational AI called Marcel in 2018 when I was at Microsoft. In 2018 when BERT was introduced by Google, I cannot emphasize how much it changed the game within the NLP community. In retrospect, we were slightly ahead of our time because of what came next.

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Heartbeat

SEPTEMBER 13, 2023

Why We Will Never Open Deep Learning's Black Box || Towards Data Science Brent, M., Explainability and Auditability in ML: Definitions, Techniques, and Tools || Neptune.ai For explainability purposes, you can log the explanations generated by different techniques and associate them with the corresponding model runs.

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Machine Learning Machine Learning AI AI 52

Heartbeat

OCTOBER 18, 2023

Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments. We’re committed to supporting and inspiring developers and engineers from all walks of life.

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Heartbeat

MARCH 15, 2023

An open-source machine learning model called BERT was developed by Google in 2018 for NLP, but this model had some limitations, and due to this, a modified BERT model called RoBERTa (Robustly Optimized BERT Pre-Training Approach) was developed by the team at Facebook in the year 2019.

Deep Learning 52

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