TechCrunch

MARCH 30, 2022

How it says it differs from rivals: Tuva uses machine learning to further develop its technology. They’re using that experience to help digital health companies get their data ready for analytics and machine learning. GrowthBook says it solves this by using a company’s existing data infrastructure and business metrics.

Open Source 195

Open Source Company Fractional CTO Artificial Inteligence 195

DataRobot

FEBRUARY 10, 2021

Machine learning is a glass cannon. The promise and power of AI lead many researchers to gloss over the ways in which things can go wrong when building and operationalizing machine learning models. As a data scientist, one of my passions is to reproduce research papers as a learning exercise.

Software Review 98

Software Review Machine Learning Artificial Inteligence Technical Review 98

Mentormate

APRIL 13, 2021

As you can see, Azure Monitor uses two fundamental types of data: metrics and logs. As a bold comparison to the DIKW pyramid , Azure Monitor brings users to knowledge. Using machine learning to predict anomalies in Azure Services provides early notification of critical performance issues. Create alerts and notifications.

Azure 98

Azure Tools Artificial Inteligence Machine Learning 98

Mobilunity

NOVEMBER 19, 2023

Methods to Extract Data Insights Machine Learning Algorithms : Machine learning leverages algorithms to enable computers to learn from and make predictions or decisions based on data. Deep Learning : A subset of machine learning, deep learning uses artificial neural networks to process and understand complex data.

UI/UX 52

UI/UX Data Machine Learning Artificial Inteligence 52

DataRobot

JULY 28, 2022

Rapid advances in machine learning in recent years have begun to lower the technical hurdles to implementing AI, and various companies have begun to actively use machine learning. The accuracy of machine learning models is highly dependent on the quality of the training data. Sensor Data Analysis Examples.

Machine Learning 72

Machine Learning Artificial Inteligence Data Case Study 72

O'Reilly Media - Data

MARCH 22, 2018

Over the years, machine learning (ML) has come a long way, from its existence as experimental research in a purely academic setting to wide industry adoption as a means for automating solutions to real-world problems. model comparison and performance evaluation. What is model interpretation?

Off-The-Shelf 115

Off-The-Shelf Machine Learning Artificial Inteligence Weak Development Team 115

DataRobot

MAY 26, 2022

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Validating Machine Learning Models. These comparisons enable the modeler and validator alike to evaluate the model’s performance, and assess it against the business objectives for which it was created.

Compliance 52

Compliance Metrics Machine Learning Artificial Inteligence 52

Perficient

MARCH 1, 2023

At Perficient, we have been leveraging artificial intelligence (AI) and machine learning for many years across different verticals and industries. For our automotive clients, we’re working with a major OEM to help them create a unique and targeted consumer experience utilizing generative AI.

Virtualization 64

Virtualization Artificial Inteligence Automotive Technical Review 64

Perficient

MAY 3, 2023

The new System Diagnostics MarketPlace Solution deployed in early 2023 highlights the Top Application Metrics to focus on for improved performance. With a simple Scenario setting configuration, you’re able to set up a comparison report that can copy and aggregate data for selected accounts without having to write any business rules.

Hotels 64

Hotels Machine Learning Artificial Inteligence Conference 64

Netflix Tech

JANUARY 31, 2019

Previous blog posts have detailed the efforts of the Device Reliability Team ( part 1 , part 2 ) to identify issues and troubleshoot them and have given examples of the uses of machine learning to improve streaming quality. a firmware change or browser/OS change) that interacts poorly with our app. Figure 2?—? Figure 3?—?Comparison

Performance 86

Performance Weak Development Team Metrics Comparison 86

O'Reilly Media - Ideas

JUNE 19, 2019

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries. Why aren’t traditional software tools sufficient?

Government 80

Government Artificial Inteligence Machine Learning Testing 80

DataRobot

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . Given this context, how can financial institutions reap the benefits of modern machine learning approaches, while still being compliant to their MRM framework?

Compliance 64

Compliance Development Machine Learning Artificial Inteligence 64

Capgemini

NOVEMBER 17, 2022

I’m a quantum physicist here at CC and joined forces with colleagues from the wider Capgemini Group as part of Capgemini’s Quantum Lab to tackle the organisers’ use case challenge on Machine Learning (ML) for Automated Quality Assessment. For the more technically minded, here’s a closer look at the metric we used.

Groups 52

Groups Metrics Comparison Machine Learning 52

John Snow Labs

DECEMBER 19, 2023

Robustness in Models Recent developments in machine learning have revolutionized the field of Natural Language Processing (NLP), enabling remarkable achievements in both understanding and generating natural language. However, these powerful NLP models also face new difficulties and limitations.

Artificial Inteligence 52

Artificial Inteligence Testing Report Comparison 52

Datavail

MARCH 21, 2023

Reasons Oracle Cloud HCM Is Better Than Workday AI-Driven Insights and Personalization: Oracle Cloud HCM incorporates machine learning technology to analyze employee data and provide insights into employee performance, engagement, and turnover risk.

Cloud 52

Cloud Analytics Mobile Scalability 52

DataRobot

JUNE 23, 2021

To help data scientists experiment faster, DataRobot has added Composable ML to automated machine learning. This allows data science teams to incorporate any machine learning algorithm or feature engineering method and seamlessly combine them with hundreds of built-in methods. Run Automated Feature Discovery.

Machine Learning 52

Machine Learning Artificial Inteligence Compliance Engineering 52

Apiumhub

APRIL 27, 2021

It is similar to the notion of co-occurrence in machine learning, in which the likelihood of one data-driven event is indicated by the presence of another. Clustering mechanisms use graphics to show where the distribution of data is in relation to different types of metrics.

Artificial Inteligence 105

Artificial Inteligence Data Machine Learning Artificial Intelligence 105

DataRobot

APRIL 20, 2021

The performance of any machine learning model is tightly linked to the data it was trained on and validated against. Binary classification models are often optimized using an error metric called LogLoss. It enables direct comparisons of accuracy between diverse machine learning approaches.

Performance 52

Performance Open Source Machine Learning Artificial Inteligence 52

TechCrunch

MARCH 22, 2022

The evaluation of these metrics is a non-trivial process I’m not equipped to do, but truthfully either one would be a game-changing upgrade for a phone. That leads to the company’s claim of having 11 times the “imaging area” of an iPhone. Bigger, brighter and a bit weirder. Image Credits: Glass.

Film 246

Film Technical Review Systems Review Weak Development Team 246

Netflix Tech

FEBRUARY 13, 2023

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. Case study: scaling match cutting using the media ML infra The Media Machine Learning Infrastructure is empowering various scenarios across Netflix, and some of them are described here.

Machine Learning 116

Machine Learning Artificial Inteligence Media Video 116

Datavail

MARCH 24, 2020

This may include data records, storage systems, integration platforms, business intelligence and analytics platforms, OLTP and OLAP databases, cloud services, and tools for AI and machine learning. A list of important metrics and KPIs for use in measuring the plan’s success. Want to read about the other three for yourself?

Strategy 40

Strategy Data Policies Storage 40

Trigent

NOVEMBER 3, 2022

In comparison, 71% of 3PLs think process quality and performance can be significantly improved with the help of big data. AI and machine learning are already playing a significant role in shaping new initiatives for the logistics industry. Delivering value in connected logistics.

Analytics 52

Analytics Data IoT Trends 52

Mobilunity

DECEMBER 21, 2022

For example, they can build machine learning models to predict plant diseases and weather conditions. Build and Deploy Machine Learning Models. Data science expert developers can build clustering, classification, forecasting and natural language processing machine learning models. Agriculture.

Data 52

Data How To Machine Learning Artificial Inteligence 52

OverOps

JANUARY 24, 2019

If something abnormal does happen, how do we even know about it, without users (internal or external) experiencing the anomalies themselves and telling us, or by horridly watching a decrease to a business metric? NEW POST The 4 Quality Gates Every #SRE Team Must Check Before Promoting Code [link] pic.twitter.com/FZNPtdltn1.

Comparison 145

Comparison Exercises Applications Machine Learning 145

O'Reilly Media - Data

APRIL 17, 2018

We often speak of markets in the abstract, as addressable segments of the economy, defining them by examples of companies and by comparisons to others engaged in similar activities. Data in hand, I developed algorithms using a graph database to calculate metrics describing the way companies worked together. Image by Russell Jurney.

B2B 120

B2B Artificial Inteligence Analytics Big Data 120

O'Reilly Media - Ideas

JANUARY 25, 2021

We’re not pretending the frameworks themselves are comparable—Spring is primarily for backend and middleware development (though it includes a web framework); React and Angular are for frontend development; and scikit-learn and PyTorch are machine learning libraries. AI, Machine Learning, and Data. The horse race?

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

Netflix Tech

DECEMBER 10, 2020

The increasing vastness and diversity of what our members are watching make answering these questions particularly challenging using conventional methods, which draw on a limited set of comparable titles and their respective performance metrics (e.g., box office, Nielsen ratings). This challenge is also an opportunity.

Machine Learning 94

Machine Learning Artificial Inteligence Film Training 94

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. The cost comparison was conducted using list EC2 pricing for 3-Year (All Upfront reserved) RHEL instances between five instance types that are commonly used in IaaS scenarios and an i3.2xlarge instance used by COD on AWS.

Storage 94

Storage Azure Technical Review Database Administration 94

CircleCI

MAY 27, 2022

In this comparison, we will look at some important differentiators between serverless computing and containers and outline some criteria you can use to decide which to use for your next project. Similarly, many FaaS offerings can automatically scale out based on important metrics like the number of requests routed to the application.

Serverless 52

Serverless Applications Technical Review Microservices 52

O'Reilly Media - Ideas

JANUARY 25, 2022

When doing year-over-year comparisons, we used the first nine months of 2020. So while we can discuss whether Answers usage is in line with other services, it’s difficult to talk about trends with so little data, and it’s impossible to do a year-over-year comparison. We saw that play out on our platform.

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

Altexsoft

FEBRUARY 8, 2021

To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article. Comparison between traditional and machine learning approaches to demand forecasting.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

OCTOBER 12, 2023

Real-time data analytics constantly collect and process information on bookings, cancellations, and other relevant metrics. Using machine learning algorithms and market insights, the RMS recommends dynamic pricing adjustments tailored to current market conditions and predicted demand. Real-time data analytics What it does.

Hotels 52

Hotels Systems Review System Software Review 52

Hacker Earth Developers Blog

SEPTEMBER 24, 2018

In this blog, we will extend our learning and will dive deeper into the YOLO algorithm. We will learn topics such as intersection over area metrics, non maximal suppression, multiple object detection, anchor boxes, etc. To calculate this metric, we need: The ground truth bounding boxes (i.e. Image preprocessing.

Training 190

Training Video Software Review Testing 190

Mobilunity

MAY 13, 2023

Knowledge in Machine Learning. Programmers should have a clue of the requirements for the scalability and the most important performance metrics that should be used to achieve it. The salaries are provided for comparison purposes and could be not entirely accurate. Skills in coding of scalable applications.

Development 52

Development Analysis Programming PHP 52

O'Reilly Media - Ideas

JANUARY 25, 2024

In this report about how people are using O’Reilly’s learning platform, we’ll see how patterns are beginning to shift. Just a few notes on methodology: This report is based on O’Reilly’s internal “Units Viewed” metric. Reinforcement learning, in which models are trained by giving “rewards” for solving problems, grew 15%.

Trends 118

Trends Technical Review Technology Artificial Inteligence 118

Daniel Bryant

NOVEMBER 24, 2020

The always-informative Gene Kim ran an AMA at the Ambassador Labs booth (our “ Ambassador Fest ”), and he shared that one of the key metrics for any platform/ops team is how many “thanks you’s” they receive on a regular basis. I also heard a lot about the benefits of using OpenTelemetry to consolidating the collection of metrics.

Metrics 52

Metrics Engineering Virtualization Conference 52

Mobilunity

DECEMBER 24, 2021

It also allows accessing various reports and data metrics in real-time. It is possible to develop custom plugins, workflows, dashboards, or reporting metrics. Except for the CRM functionality, there are also features based on machine learning and big data for more insights and advanced information interpretation.

Technical Advisors 52

Technical Advisors .Net Software System 52