ODSC - Open Data Science

JUNE 29, 2023

For a number of reasons, such as storage requirements or privacy concerns, using raw data for debugging/monitoring purposes might not be feasible. For a more in-depth view of this topic, you can sign up for my upcoming workshop at ODSC Europe this June “ Data Validation at Scale — Detecting and Responding to Data Misbehavior. ”

Natural Language Processing 104

Natural Language Processing Data Science Data Quality Machine Learning 104

Ocean Protocol

AUGUST 23, 2023

Data in 1928: The Concept of Storage Pfleumer’s Magnetic Tape In 1928, German engineer Fritz Pfleumer patented a magnetic tape that he used to replace wire recording for storing data. For the context of this topic, we can point readers to inquire on Life After Google by George Gilder, highlighting the rise and fall of Big Data.

Big Data 52

Big Data Big Data Algorithm Machine Learning 52

Mlearning.ai

MARCH 15, 2023

GDPR established rules and limits to the sharing/storage of data for companies that operate as data controllers and processors. FL is still considered an emerging topic and ongoing research is taking place to develop new techniques to make them more effective and reliable. References Abdulrahman, S., Ould-Slimane, H.,

Machine Learning 52

Machine Learning Machine Learning ML ML 52

AWS Machine Learning Blog

OCTOBER 26, 2023

For more information on this topic, refer to the Amazon Kendra Developer Guide. To configure the SSL certificates, you can create a self-signed certificate for this setup using the openssl x509 -in mydrupalsite.pem -out drupal.crt command and store the certificate in an Amazon Simple Storage Service (Amazon S3) bucket.

AWS 94

AWS Machine Learning Machine Learning Cloud Computing 94

AWS Machine Learning Blog

MARCH 28, 2024

These datasets encompass a broad range of topics and domains. News CommonCrawl is available on Amazon Simple Storage Service (Amazon S3) in the commoncrawl bucket at crawl-data/CC-NEWS/. This can help improve task performance because we adopt the model to the distribution of task tokens despite labeled data not being required.

AWS 94

AWS Machine Learning Machine Learning Data Quality 94

Mlearning.ai

FEBRUARY 6, 2023

Use SageMaker Processing Jobs to easily run inference on your large Dataset with Hugging Face’s Transformer Models Photo by Alex Kulikov on Unsplash This blog will give you a complete walk through of running a distributed batch inference on large data in production. We’ll be using Amazon Sagemaker, a fully managed machine learning service.

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AWS Machine Learning Blog

APRIL 18, 2024

LMA also provides options for identifying the current meeting topic, and for generating a list of action items with owners and due dates. If the meeting app is not supported by the extension, then the LMA user can manually enter their name and the meeting topic—active speakers’ names will not be detected. LMA is an open source project.

AWS 106

AWS Analytics Analytics AI 106

Mlearning.ai

JANUARY 26, 2023

Using Slido.com, participants were asked to respond anonymously to polls and word clouds on these topics, as well as to ask questions to the presenters. Which scalable solution do you usually use to distribute multiarray data? First, select a data cube solution i.e. storage option / data format for your data. S3 and Zenodo.org).

AWS 98

AWS Database Clean Data Data Science 98

AWS Machine Learning Blog

DECEMBER 7, 2023

We achieved a 90% reduction in elapsed time when running scheduling algorithms for all warehouses using AWS Step Functions , which is a fully managed service that makes it easier to coordinate the components of distributed applications and microservices using visual workflows.

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AWS Algorithm Machine Learning Machine Learning 97

How to Learn Machine Learning

DECEMBER 2, 2022

This ensures that enterprises can maintain stocks at the required level with distribution centers and retail outlets. With AI-powered supply chain management systems, there is a 20-50% reduction in errors, a 65% reduction in shortages and lost sales, a 5-10% saving in storage costs, and a 25-40% saving in administrative costs.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

ODSC - Open Data Science

JULY 25, 2023

While questions about these topics complete my three-part series with ChatGPT about data centers, keep in mind that recommendations for how to use ChatGPT and other large language model (LLM)-based chatbots continue to evolve. Data scientists and business leaders should consider these before investing.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

IBM Journey to AI blog

APRIL 18, 2024

The exact nature of general intelligence in AGI remains a topic of debate among AI researchers. Mastering a topic? With AGI managing complex logistics networks in real time, it can optimize delivery routes, predict potential delays and adjust inventory levels to help ensure just-in-time delivery, minimizing waste and storage costs.

AI 90

AI AI Computer Science Computer Science 90

DrivenData Labs

MARCH 30, 2023

Memory (and other temporary storage) overhead of model training. We were particularly attracted to the financial crime detection track because it challenged participants to build a working solution for a critical problem with data that is horizontally and vertically distributed across data holders. Network overhead of model training.

Machine Learning 162

Machine Learning Machine Learning Data Science Algorithm 162

ODSC - Open Data Science

SEPTEMBER 29, 2023

Enterprises using Spark for a data lake implementation need to source and integrate additional software for tools that support user management, data storage and delivery, execution control, and administration. Spark was built to be part of a larger big data solution and on its own cannot serve as a complete data lake platform.

Data Lakes 52

Data Lakes Clustering Big Data Big Data 52

Google Research AI blog

FEBRUARY 7, 2023

Posted by Sanjiv Kumar, VP and Google Fellow, Google Research (This is Part 4 in our series of posts covering different topical areas of research at Google. One key assumption in optimizers like SGD is that each data point is sampled independently and identically from a distribution. You can find other posts in the series here.)

Deep Learning 118

Deep Learning Deep Learning Algorithm ML 118

AWS Machine Learning Blog

AUGUST 30, 2023

a): dev1 (b): dev2 The following table shows that ROUGE scores for the evaluation datasets have approximately the same median and mean and therefore are symmetrically distributed. The following screenshot shows our example dashboard. 0.6038 0.3065 0.0000 0.3653 0.6000 0.9384 1.0000 ROUGE 2 2000.00

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AWS Machine Learning Blog

FEBRUARY 2, 2024

For prompt data, that might indicate that the types of questions coming into the system are covering more topics. The domain name provided is used to create a Route 53 DNS record pointing to the frontend CloudFront distribution; for example, app.example.com.

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AWS Clustering ETL Database 89

Dataconomy

MARCH 7, 2023

The blockchain technology has disrupted the traditional methods of data management and storage, creating a new paradigm for secure and transparent transactions. This includes knowledge of distributed ledger technology, consensus algorithms, and peer-to-peer networking protocols.

ML 91

ML ML Artificial Intelligence Artificial Intelligence 91

AWS Machine Learning Blog

MAY 25, 2023

The FAISS index files are saved locally and the uploaded to Amazon Simple Storage Service (S3) so that they can optionally be used by the Lambda function as an illustration of using an alternate vector database. This notebook takes about 20 minutes to run. The notebook also ingests the data into another vector database called FAISS.

AWS 76

AWS Clustering Python ML 76

ODSC - Open Data Science

MAY 31, 2023

Commonly used technologies for data storage are the Hadoop Distributed File System (HDFS), Amazon S3, Google Cloud Storage (GCS), or Azure Blob Storage, as well as tools like Apache Hive, Apache Spark, and TensorFlow for data processing and analytics. Consumers read the events and process the data in real-time.

Data Lakes 131

Data Lakes Machine Learning Machine Learning Apache Kafka 131

AWS Machine Learning Blog

NOVEMBER 15, 2023

As a first step, they wanted to transcribe voice calls and analyze those interactions to determine primary call drivers, including issues, topics, sentiment, average handle time (AHT) breakdowns, and develop additional natural language processing (NLP)-based analytics. Each year, Principal handles millions of calls and digital interactions.

AWS 110

AWS Analytics Analytics ML 110

AWS Machine Learning Blog

OCTOBER 10, 2023

Federated learning (FL) is a distributed ML approach that trains ML models on distributed datasets. The goal of FL is to improve the accuracy of ML models by using more data, while preserving the privacy and the locality of distributed datasets. In horizontal FL, all distributed datasets have the same set of features.

AWS 91

AWS ML ML Algorithm 91

PyImageSearch

JANUARY 2, 2023

AI innovations that feed on patient data must also navigate several data regulations, from storage to security and interoperability. My mission is to change education and how complex Artificial Intelligence topics are taught. This shift can arise because of changing disease patterns over time. What's next? And that’s exactly what I do.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Hacker News

MAY 3, 2023

Intuitively, the more parameters, the greater their “storage capacity”, even though it should be noted that language models do not store information in a way comparable to the standard way storage memory works in computers (hard drives). An example of such metrics is perplexity , a measure of fluency of generated text.

Supervised Learning 180

Supervised Learning Natural Language Processing AI AI 180

The MLOps Blog

JUNE 27, 2023

Want to explore this topic? because of its convenient metadata storage, quick comparison, and sharing capabilities. This color scheme aids in identifying patterns and trends in the distribution of feature values across instances. EDITOR’S NOTE Do you feel like experimenting with Neptune?

ML 52

ML ML Data Scientist Machine Learning 52

AWS Machine Learning Blog

MARCH 28, 2024

By distributing the workload across multiple experts, MoE models can be trained on larger datasets and achieve better performance than traditional models of the same size. Another challenge with RAG is that with retrieval, you aren’t aware of the specific queries that your document storage system will deal with upon ingestion.

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AWS Machine Learning Machine Learning AI 109

ODSC - Open Data Science

MAY 1, 2023

Lastly, MLOps helps with data storage and security by providing tools and workflows that enable efficient storage and retrieval of data. This can be done through a variety of ways like experimentation management, distributed training, preprocessing pipelines, model selection & tuning, and model deployment.

Data Scientist 97

Data Scientist Data Science Supervised Learning AI 97

ODSC - Open Data Science

JULY 11, 2023

Why engage ChatGPT on a topic like data centers? Such a wide range of topics makes it difficult to learn much without taking many different search approaches. Such a wide range of topics makes it difficult to learn much without taking many different search approaches.

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

Mlearning.ai

MAY 16, 2023

Pub/Sub Design Pattern The Pub/Sub design pattern is commonly used in distributed systems for message processing. The message broker can then distribute the events to various subscribers such as data processing pipelines, machine learning models, and real-time analytics dashboards.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Flipboard

SEPTEMBER 4, 2023

They virtualize the resources available to the OS for a specific process concerning CPU usage, memory, and storage. Note, if you are using Ubuntu or any other Linux distribution, you can simply replace most of these commands with the distribution’s respective package manager (“apt” for Ubuntu, “pacman” for Arch Linux, “brew” for Mac, etc.).

Machine Learning 109

Machine Learning Machine Learning Deep Learning Deep Learning 109

Smart Data Collective

SEPTEMBER 26, 2021

There’s not much value in holding on to raw data without putting it to good use, yet as the cost of storage continues to decrease, organizations find it useful to collect raw data for additional processing. Data storage is a key component of any successful organization. If it’s not done right away, then later. Speaking of which.

Database 98

Database Data Visualization Data Warehouse Data Mining 98

AWS Machine Learning Blog

AUGUST 3, 2023

The workflow includes the following steps: We use SageMaker Processing to preprocess data and create a single CSV file per customer and store it in Amazon Simple Storage Service (Amazon S3). There are three options for the distribution parameter: FullyReplicated , ShardedByS3Key , and ShardedByRecord. argument parsing. ]

ML 77

ML ML AWS Python 77

IBM Journey to AI blog

JANUARY 16, 2024

Carbon footprint in practice Compute, storage and networking are the essential tech resources that consume energy in the process of building applications and services. This power runs various IT equipment such as servers, network switches and storage, which in turn support applications and services for customers.

AWS 86

AWS Clustering Database Artificial Intelligence 86

phData

DECEMBER 4, 2023

That means making consolidated purchases can save you money, but calculating how you distribute those costs to business units or projects is up to you. More on this topic later; but for now, keep in mind that the simplest method is to create a naming convention for database objects that allows you to identify the owner and associated budget.

Clustering 98

Clustering Database SQL Data Pipeline 98

Flipboard

NOVEMBER 24, 2023

By relying on AWS serverless and managed services as the main building blocks of the infrastructure, the JuMa DevOps team doesn’t need to worry about patching servers, upgrading storage, or managing any other infrastructure components. He has a record of working with distributed teams across the globe within large enterprises.

ML 95

ML ML AWS AI 95

phData

SEPTEMBER 20, 2023

However, Snowflake offers many of the capabilities needed for a self-service data platform, enabling a distributed, domain-driven architecture and offering capabilities to help implement data as a product and federated computational governance. Luckily, Snowflake has topology options to support distributed domains.

Data Silos 52

Data Silos Database Data Quality Data Engineering 52

Becoming Human

MAY 15, 2023

In Descriptive Statistics, you need to focus on topics like Mean , Median , Mode, and Standard Deviation. And don’t think that Statistics only has these topics; Statistics itself is a vast field, but whatever I write above is good enough to start with, and as you go further in data science, you’ll explore more and more.

Data Science 75

Data Science Machine Learning Machine Learning Database 75