Data Science Dojo

AUGUST 28, 2023

Development to production workflow LLMs Large Language Models (LLMs) represent a novel category of Natural Language Processing (NLP) models that have significantly surpassed previous benchmarks across a wide spectrum of tasks, including open question-answering, summarization, and the execution of nearly arbitrary instructions.

Exploratory Data Analysis 195

Exploratory Data Analysis Data Preparation Machine Learning Machine Learning 195

Smart Data Collective

NOVEMBER 15, 2022

One study by Perle showed that 95% of respondents said that moving to the cloud would lower their operational and hardware installation costs. With on-premises storage, you have to pay for the initial purchase and installation of hardware and software, as well as ongoing maintenance costs. Disaster Recovery. Types of Cloud Computing.

Cloud Computing 110

Cloud Computing Azure Cloud Data AWS 110

Google Research AI blog

JULY 11, 2023

At its core, the interface entails three main signals: hardware state , hardware parameters , and metrics. Using these signals, the agent observes the state of the hardware and suggests a set of hardware parameters to iteratively optimize a (user-defined) reward.

Machine Learning 74

Machine Learning Machine Learning ML ML 74

Towards AI

APRIL 22, 2024

NoSQL databases — NoSQL is a vast category that includes all databases that do not use SQL as their primary data access language. Scalability Requirements Relational Databases: Hardware resources typically limit vertical scalability while horizontal scalability might require complex sharding or replication setups.

Database 83

Database SQL Clustering Big Data 83

Dataconomy

JUNE 16, 2023

On your property or your devices, you don’t need to install any software or hardware. Personal identifiable information (PII), payment card information (PCI), health information (HIPAA), intellectual property (IP), and other established or bespoke data categories are among the options available to you.

AI 193

AI AI Natural Language Processing Data Classification 193

Hacker News

MARCH 5, 2024

It is that category of software that we would like to discuss here. Statistics There is currently no shortage of utilities that can be used to set up a network tunnel between two systems. Some of these connect directly, while others use a proxy, which hides the IP address of the attackers’ server.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Identify and protect special category data When inventorying data, organizations should make a note of any especially sensitive data that requires extra protection. The GDPR mandates added precautions for three kinds of data in particular: special category data, criminal conviction data, and children’s data.

Data Governance 82

Data Governance AWS Database 82

Mlearning.ai

JUNE 18, 2023

Not only do the latest AI models require large amounts of electricity to run, they also require optimal hardware such as dedicated GPUs to run fast. In order to use the GPU, go to “Change runtime type” under “Runtime” in the menu bar, and select “GPU” under “Hardware accelerator”. Don’t forget to “Save”! Setting up Colab’s T4 GPU.

Deep Learning 52

Deep Learning Deep Learning Python ML 52

IBM Journey to AI blog

APRIL 10, 2024

Decreasing your dependence on hardware, increasing your usage of auto-provisioned infrastructure and leveraging reusable components and modules are concrete ways to improve your impact on the environment. By 2027, 25% of CIOs will have compensation linked to their sustainable technology impact.

ML 97

ML ML AI AI 97

Pickl AI

OCTOBER 12, 2023

NumPy furnishes a wide spectrum of data types that can be classified into the following primary categories: Integer Data Types: Integers, being whole numbers devoid of decimal fractions, are encompassed by NumPy’s repertoire of data types. Additionally, using specialized data types can take advantage of hardware optimizations.

Python 52

Python Data Analysis Data Analysis Data Science 52

Smart Data Collective

MAY 17, 2023

With AI, enterprises can analyze the purchasing behavior of different client categories and tailor their inventories to their needs. On-premises ERPs require businesses to pay up-front for the hardware and software required to run the system. This is especially important for manufacturers. AI also helps with automation.

AI 95

AI AI Business Intelligence Business Intelligence 95

AWS Machine Learning Blog

MARCH 4, 2024

Keeping customer needs top of mind, Anthropic and AWS are delivering where it matters most to organizations of all sizes: Improved performance – Claude 3 models are significantly faster for real-time interactions thanks to optimizations across hardware and software.

AWS 135

AWS AI AI Machine Learning 135

phData

JUNE 30, 2023

Real-Time AI/ML Applications – Most machine uses of machine learning models in production systems fall into one of two categories: batch or real-time. Running and tuning LLMs is much more efficient on GPU hardware. Just don’t forget the parentheses.) Snowpark Python was already a great choice for batch ML applications.

Database 52

Database ML ML Python 52

Precisely

MARCH 14, 2023

But early adopters realized that the expertise and hardware needed to manage these systems properly were complex and expensive. If you’re a Gartner client, click HERE to view the 2022 Magic Quadrant for Data Quality Solutions, which included Precisely as a Visionary vendor in a rapidly evolving category. So how did providers respond?

Data Quality 52

Data Quality Cloud Data Data Observability Data Pipeline 52

Tableau

MARCH 7, 2022

Years of knowledge and experience building Tableau dashboards went into the Workbook Optimizer, with seven categories of best practices sourced from customers, Tableau Community leaders, and internal experts. The results page displays a prioritized list of concrete guidance, educating authors on how their workbook design impacts performance.

Tableau 98

Tableau Analytics Analytics Algorithm 98

Towards AI

FEBRUARY 16, 2023

Automation can be implemented in many forms, including software, hardware, and a combination of both. The job market can be divided into two main categories: the labor market and the goods market. Example of automation: An example of automation is the use of industrial robots in manufacturing.

Artificial Intelligence 70

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 70

Mlearning.ai

FEBRUARY 28, 2023

If excellent hardware exists and is accessible to everyone, we can perform our ML experiments utilizing all the possible data combinations. Point-biserial correlation can help us compute the correlation utilizing the standard deviation of the sample, the mean value of each binary group, and the probability of each binary category.

Data Analysis 52

Data Analysis Data Analysis EDA ML 52

Towards AI

JANUARY 30, 2023

DarkNet-53 is a convolutional neural network that is 53 layers deep and can classify images into 1000 object categories, such as keyboard, mouse, pencil, and many animals. Firstly, YOLOv8 introduces a new backbone network, Darknet-53, which is significantly faster and more accurate than the previous backbone used in YOLOv7. Python-3.8.16

Algorithm 80

Algorithm Deep Learning Deep Learning Python 80

Tableau

MARCH 7, 2022

Years of knowledge and experience building Tableau dashboards went into the Workbook Optimizer, with seven categories of best practices sourced from customers, Tableau Community leaders, and internal experts. The results page displays a prioritized list of concrete guidance, educating authors on how their workbook design impacts performance.

Tableau 92

Tableau Analytics Analytics Algorithm 92

Dataconomy

SEPTEMBER 11, 2023

Two types, one goal Telemetry data can be broadly classified into two categories: active and passive data. Businesses must inform consumers about the categories of personal information they collect, disclose, and sell, as well as provide them with the ability to opt-out of such collections.

Analytics 103

Analytics Analytics Algorithm ML 103

Smart Data Collective

SEPTEMBER 13, 2021

For example, you cannot rule out physical data theft, human error, computer viruses, faulty hardware, power failure, and natural disasters. The program defines the categories of data priority from low-risk, to sensitive, to critical. The program operates in accord with the security guidelines and regulations of your organization.

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Smart Data Collective

OCTOBER 23, 2021

All mining hardware like the GPU falls under the category of proof of work. Alake pointed out that machine learning has helped optimize cryptocurrency mining platforms and make them far more secure. In fact, there are two forms of mining: proof of work and proof of stake.

Machine Learning 134

Machine Learning Machine Learning Algorithm Data Science 134

Dataconomy

MARCH 27, 2023

In contrast, ML models can be challenging to scale as they require a large amount of computing power and specialized hardware. It can be used to identify patterns and anomalies in large datasets, classify data into categories, and make predictions based on historical data.

ML 133

ML ML Machine Learning Machine Learning 133

O'Reilly Media

SEPTEMBER 15, 2021

Our audience is particularly strong in the software (20% of respondents), computer hardware (4%), and computer security (2%) industries—over 25% of the total. For our purposes, the “computer industry” was divided into four segments: computer hardware, cloud services and hosting, security, and software.

AI 145

AI AI Azure AWS 145

Dataconomy

AUGUST 14, 2023

Comparable to a well-executed duet, the client computer communicates its intentions by dispatching requests to various entities, ranging from computer programs to hardware components. The way a client does its job is by sending requests to other stuff, like computer programs or hardware.

Clustering 171

Clustering Database 171

IBM Journey to AI blog

JANUARY 11, 2024

Create an asset inventory: Asset inventories help identify hardware, software, IT infrastructure and anything else you might need to function. Once you’ve identified all your assets, group them into three categories— critical, important and unimportant: Critical: Assets that are required for normal business operations.

Cloud Computing 103

Cloud Computing 103

Smart Data Collective

MAY 10, 2022

You can train a machine learning model for fraud detection by feeding it with many transactions and assigning them to “fraud” or “non-fraud” categories. These include scanning code repositories, servers, workstations, and other hardware for known vulnerabilities.

Artificial Intelligence 110

Artificial Intelligence Artificial Intelligence AI AI 110

Flipboard

MAY 17, 2023

It takes a while to deploy it, especially when hardware is involved, because that’s just lots of stuff that all has to be balanced out. So you have a program—you have a software suite called Grace and you also have a hardware platform called Carter. It was how fast people think new stuff is going to be deployed. It takes time.

Cloud Computing 182

Cloud Computing AI AI Computer Science 182

The MLOps Blog

JANUARY 25, 2023

Different sets of words are first labeled into three different categories. If any of these words are detected in the text, then it is classified in one of the given sentiment categories. to further classify them into one of the sentiment categories (Negative, Neutral, and Positive). are assigned a positive label.

Natural Language Processing 52

Natural Language Processing ML ML Deep Learning 52

Data Science Dojo

MARCH 8, 2024

Exploring the traditional vs vector databases debate In comparing the two categories of databases, we must explore a common set of factors to understand the basic differences between them. However, it is important to understand the uses, limitations, and functions of both databases to understand which is more suitable for your organization.

Database 370

Database Natural Language Processing Clustering SQL 370

Dataconomy

MARCH 27, 2023

In contrast, ML models can be challenging to scale as they require a large amount of computing power and specialized hardware. It can be used to identify patterns and anomalies in large datasets, classify data into categories, and make predictions based on historical data.

ML 70

ML ML Machine Learning Machine Learning 70

Flipboard

NOVEMBER 9, 2023

We demonstrate the overlap below: Real-Time Music Streaming Thus far, most of the emerging generative streaming products have been in the functional music category: apps like Endel , Brain.fm , and Aimi.

AI 34

AI AI 34

DagsHub

MARCH 19, 2024

For example, if the client expects the system to classify images into predefined categories, a convolutional neural network (CNN) might be suitable. Desired output type: The desired output type (classification, detection, localization, segmentation) will dictate the choice of the model.

Algorithm 52

Algorithm Deep Learning Deep Learning Data Engineering 52

IBM Journey to AI blog

MAY 26, 2023

IBM is also the launch partner for the AWS Security Competency across all newly announced security categories, becoming the fastest Global GSI to secure more AWS competencies and certifications among Top-16 AWS Premier GSIs within 18 months.

AWS 79

AWS Machine Learning Machine Learning Cloud Computing 79

The MLOps Blog

MARCH 23, 2023

Storing and running such a large model on a single device may be impractical for many use cases due to the hardware requirements. Cost Deploying and using LLMs can be costly, including the cost of hardware, storage, and infrastructure. 2 Details about the hardware to be used. 3 Right inference option. 2020 or Hoffman et al.,

Natural Language Processing 115

Natural Language Processing Cloud Computing AWS Deep Learning 115

Heartbeat

MARCH 1, 2023

Monitor hardware performance. The fourth layer then includes 10 categories to reflect the 10 sample images that are included in our dataset. Use both the CNN and ANN and see the network with the most accuracy. Detect layers and patterns in the dataset.

ML 52

ML ML Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 12, 2023

They ensure that hardware and software are functioning smoothly, manage security, and troubleshoot any technical problems. System Administrator/Network Administrator: They also known as network administrators, are responsible for maintaining an organization’s computer systems and networks.

Data Science 52

Data Science Data Analyst Machine Learning Machine Learning 52