Dataconomy

NOVEMBER 7, 2023

Alongside the ability for users to exchange these GPT roles, OpenAI is set to launch a GPT Store ( Image credit ) Prior to this, OpenAI presented a feature named “Custom Instructions,” which was reported on back in July. Later this month, we’re launching the GPT Store, featuring creations by verified builders.

AI 103

AI AI Artificial Intelligence Artificial Intelligence 103

Dataconomy

AUGUST 28, 2023

There are mathematical theorems that support the working principle of all automation systems that make up a large part of our daily lives. It quantifies how closely related these points are in the feature space. In essence, it measures how aligned these points are in the feature space.

Machine Learning 172

Machine Learning Machine Learning Algorithm Support Vector Machines 172

phData

MARCH 29, 2024

Environment Scale and Capacity: View critical metrics about the scale and features used in your account to help you understand your current state and plan for growth. Whether you’re new to Snowflake or have had Snowflake for years, you may not know what some of these features are or that they even exist.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Precisely

FEBRUARY 8, 2024

Address data: for many businesses, it falls into one of two categories – a valuable asset, or a major (and costly) headache. What makes address data so challenging for those that fall into the latter category? Well, address challenges can often be traced to human error. The solution is geo addressing value.

Big Data Analytics 59

Big Data Analytics Big Data Analytics Analytics Analytics 59

Mlearning.ai

JULY 2, 2023

The Art of Forecasting in the Retail Industry Part I : Exploratory Data Analysis & Time Series Analysis In this article, I will conduct exploratory data analysis and time series analysis using a dataset consisting of product sales in different categories from a store in the US between 2015 and 2018.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Analysis Data Analysis Data Visualization 52

AWS Machine Learning Blog

OCTOBER 24, 2023

In 2023, T-Mobile launched the Voicemail to Text Translate feature. T-Mobile has partnered with AWS to analyze the key application metrics of this service, such as language distribution, the number of messages per language, the daily total and unique active customers, and so on. In addition, market research based on U.S.

Artificial Intelligence 90

Artificial Intelligence Artificial Intelligence AWS Machine Learning 90

Precisely

FEBRUARY 8, 2024

Address data: for many businesses, it falls into one of two categories – a valuable asset, or a major (and costly) headache. What makes address data so challenging for those that fall into the latter category? Well, address challenges can often be traced to human error. The solution is geo addressing value.

Big Data Analytics 52

Big Data Analytics Big Data Analytics Analytics Analytics 52

Pickl AI

JANUARY 3, 2024

Feature engineering in machine learning is a pivotal process that transforms raw data into a format comprehensible to algorithms. Embrace the benefits of feature engineering to unlock the full potential of your Machine-Learning endeavors and achieve accurate predictions in diverse real-world scenarios. What is Feature Engineering?

Machine Learning 52

Machine Learning Machine Learning Exploratory Data Analysis Cross Validation 52

Dataconomy

MARCH 6, 2024

Given the enormous volumes of social media interaction that happens daily, how do software engineers mitigate false information? Software engineers are also instrumental in determining what categories of data are needed for specific projects and will instruct data analysts accordingly.

AI 113

AI AI Algorithm Deep Learning 113

Heartbeat

JULY 6, 2023

Photo by Tom Crew on Unsplash Introduction The impact of the digital world is vast and far-reaching, shaping various aspects of our daily lives, and as time passes, humans are getting surrounded by more digital stuff. This allows the model to capture more fine-grained spatial relationships between the features.

Deep Learning 59

Deep Learning Deep Learning Natural Language Processing Supervised Learning 59

Mlearning.ai

JULY 23, 2023

Text Classification : Categorizing text into predefined categories based on its content. This is a process where we assign predefined categories, or labels, to text based on its content. Text classification is at the heart of many applications that we encounter daily. This is like the prediction phase.

Algorithm 52

Algorithm Natural Language Processing Artificial Intelligence Artificial Intelligence 52

Tableau

OCTOBER 29, 2021

And by stitching it all together with Tableau, the Housing Connector team is able to go beyond daily program administration to gain a deeper understanding of the relationships between data, improving customer insight, and maximizing impact. Insight into the housing journey. Housing Connector’s housing inventory and flow dashboard.

Tableau 108

Tableau 108

phData

JANUARY 5, 2024

When the spending limit is projected to be exceeded, a daily notification email is sent to the email addresses designated for budget notifications. This can be especially useful in monitoring costs as the alerts can be used to monitor data in the INFORMATION_SCHEMA , essentially allowing for a finer detail resource monitor.

Power BI 52

Power BI Cloud Computing Data Pipeline AWS 52

Smart Data Collective

NOVEMBER 19, 2020

Nominal categories are specific, independent groups. Ratios are data categories which contain no zero. As a marketing, sales or business analyst, you might be using different types of software to perform your daily tasks. However, you won’t find them easily, especially as any software features. Measurement levels.

Data Visualization 117

Data Visualization Database Analytics Analytics 117

ODSC - Open Data Science

NOVEMBER 16, 2023

Supercharging Your Data Science Projects with GitHub Tools Let’s dive deep into some innovative GitHub tools and features that can improve the productivity of your data science workflow. Dan will address the four categories of catastrophic AI risks: malicious use, AI race, organizational risks, and rogue AIs.

Data Visualization 52

Data Visualization AWS Data Science Data Analysis 52

Dataconomy

SEPTEMBER 11, 2023

Automation, which was once considered a futuristic concept, is now an indispensable part of our daily lives. Two types, one goal Telemetry data can be broadly classified into two categories: active and passive data. Featured image credit : kjpargeter/Freepik.

Analytics 103

Analytics Analytics Algorithm ML 103

Dataconomy

APRIL 18, 2023

With the rise of AI-generated art and AI-powered chatbots like ChatGPT, it’s clear that artificial intelligence has become a ubiquitous part of our daily lives. Another example of AI in daily life is spam filtering in emails, which uses machine learning algorithms to distinguish between genuine and spam emails.

Artificial Intelligence 113

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 113

phData

MARCH 18, 2024

product_id product_name category price update_date 1 MacBook Air (15-inch, M2, 2023) Computers & Accessories $999 June 13, 2023 In the product table, we have a product, MacBook Air (15-inch, M2, 2023), and the price is $999 as of June 13, 2023. What happens if the snapshot job does not run daily?

Data Warehouse 52

Data Warehouse SQL Data Pipeline Analytics 52

Tableau

OCTOBER 29, 2021

And by stitching it all together with Tableau, the Housing Connector team is able to go beyond daily program administration to gain a deeper understanding of the relationships between data, improving customer insight, and maximizing impact. Insight into the housing journey. Housing Connector’s housing inventory and flow dashboard.

Tableau 97

Tableau 97

Pickl AI

FEBRUARY 8, 2023

ChatGPT is being used for different purposes in several fields, from social media to boosting daily work. 5 ChatGPT Features to Boost Your Daily Work ChatGPT has completely changed the course of coding and provided immense help in developing code. Hence, here are 5 ChatGPT features to boost your daily work.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Smart Data Collective

SEPTEMBER 12, 2019

There are a number of products on the market that can improve the daily functions of your home, including everything from smart cameras and security systems to smart thermostats, light fixtures, and more. Features vary from one device to the next, with plenty of options for all price ranges. Devices that Are Born in the Age of AI.

AI 78

AI AI Artificial Intelligence Artificial Intelligence 78

Pickl AI

JULY 28, 2023

A computer vision technology called Image Recognition, commonly referred to as image classification, involves the automatic recognition and classification of objects, patterns, or features within digital images. Image Recognition aims to assign labels or categories to the entire image based on its content.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Heartbeat

SEPTEMBER 28, 2023

Numeric Feature Distribution These histograms show the distribution of numeric features (tenure, MonthlyCharges, and TotalCharges) for the entire dataset. You can observe how these numeric features are distributed. These plots provide insights into how different categories of customers (e.g.,

Support Vector Machines 52

Support Vector Machines Machine Learning Machine Learning ML 52

Smart Data Collective

AUGUST 25, 2021

For instance, its AI content generator can create unique content in minutes by choosing a category relevant to your business. The Style Match feature in its mobile app enables users to upload a picture. They provide information, respond to commands, and help with daily life. 8 Ways to Use AI for eCommerce. Image source.

Artificial Intelligence 135

Artificial Intelligence Artificial Intelligence AI AI 135

Smart Data Collective

JANUARY 26, 2022

In general, data in the legal sectors fall into three categories: Individual data Internal law firm data Legal industry data. Internal data is sourced from your legal department’s daily activities like time tracking or billing rates.

Analytics 73

Analytics Analytics Predictive Analytics Big Data 73

phData

JANUARY 2, 2024

Note that this feature is currently in public preview. daily, monthly) or grouping by relevant categories helps users analyze trends and make comparisons more effectively. Subscription-Based For this pricing plan, consumers are charged upfront for access to the data product for a specified term.

Data Analyst 52

Data Analyst Business Intelligence Business Intelligence Analytics 52

Google Research AI blog

JUNE 6, 2023

Posted by Ruofei Du, Research Scientist, and Alex Olwal, Senior Staff Research Scientist, Google Augmented Reality Recent advances in video conferencing have significantly improved remote video communication through features like live captioning and noise cancellation. For example, “I would love to see it!”

Deep Learning 69

Deep Learning Deep Learning 69

Hacker News

DECEMBER 31, 2023

Capable browsers that expose web app installation and powerful features to developers can kickstart app portability, breaking open the mobile duopoly. " The implication is clear: browsers unchained can do to mobile what the web did to desktop, where more than 70% of daily "jobs to be done" happen on the web.

179

179

AWS Machine Learning Blog

MAY 8, 2024

The training pipeline is responsible for developing the base model, which is a CatBoost model trained on a comprehensive set of features. In the training process, features are sourced from Amazon SageMaker Feature Store , which houses nearly 100 carefully curated features.

ML 93

ML ML AWS AI 93

O'Reilly Media

NOVEMBER 29, 2022

An outcomes-based strategy would look at the impact of an AI or ML solution on specific categories and subgroups of stakeholders. Teaching responsibility and passing it from one generation to the next is a standard feature of civilization. We don’t know how to do that for machines. At least not yet.

Artificial Intelligence 111

Artificial Intelligence Artificial Intelligence AI AI 111

Mlearning.ai

APRIL 17, 2023

We will recognize the dataset and create new variables (See Feature Engineering) Afterwards, we will do data visualization studies using data visualization libraries (Seaborn, Matplotlib, Plotly). Shopping has become a necessity for people for reasons such as meeting daily needs, satisfying personal pleasures, and discovering new products.

Data Analysis 52

Data Analysis Data Analysis Exploratory Data Analysis Data Visualization 52

DrivenData Labs

MARCH 30, 2023

The underlying mechanics of infections was fairly straightforward—exposures lead to infections—but this problem was made hard by the enormity of the system, with over 7 million individuals involved in a complex graph of daily contact over nine weeks of simulation. The financial crime detection track definitely fell in that category!

Machine Learning 162

Machine Learning Machine Learning Data Science Algorithm 162

AWS Machine Learning Blog

MAY 15, 2023

We outline how we built an automated demand forecasting pipeline using Forecast and orchestrated by AWS Step Functions to predict daily demand for SKUs. The pipeline starts with feature creation which first creates the features and loads them to Amazon Redshift. The model pipeline is executed separately for each country.

Algorithm 68

Algorithm Data Scientist AWS Machine Learning 68

Flipboard

JULY 31, 2023

In recent years, it has evolved from a mere concept into a technology that significantly impacts our daily routines. Aquarium The Aquarium dataset features 638 images from aquarium images. Image classification involves assigning a label to an image from a predetermined set of categories. Many call this software 2.0.

Machine Learning 104

Machine Learning Machine Learning Deep Learning Deep Learning 104

Dataconomy

APRIL 12, 2024

Emerging daily are sophisticated methodologies for data scientists encompassing supervised, unsupervised, and reinforcement learning techniques. Each data point has an input (features) and its corresponding correct output (label). numbers, categories) or unstructured (e.g., Training: The model is fed the labeled data.

Machine Learning 113

Machine Learning Machine Learning Supervised Learning Decision Trees 113

Dataconomy

OCTOBER 24, 2023

daily_theme : Toggle notification pings for the #daily-theme channel update. Stay informed about daily theme challenges and participate in creative prompts. In the Midjourney Cheatsheet, different parameter categories are listed, including Basic Parameters, Model Version Parameters, Upscaler Parameters, and Other Parameters.

Algorithm 192

Algorithm AI AI Artificial Intelligence 192

AWS Machine Learning Blog

APRIL 21, 2023

This solution highlights the ability to use the fully managed features within SageMaker MLOps to reduce operational overhead through fully managed and integrated capabilities. However, batch inference is performed against the latest model version on a daily basis.

Data Quality 74

Data Quality ML ML AWS 74