insideBIGDATA

SEPTEMBER 29, 2023

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA.

Big Data 235

Big Data Big Data Machine Learning Machine Learning 235

insideBIGDATA

FEBRUARY 2, 2023

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA.

Big Data 313

Big Data Big Data Machine Learning Machine Learning 313

insideBIGDATA

DECEMBER 20, 2023

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA.

Big Data 195

Big Data Big Data Machine Learning Machine Learning 195

insideBIGDATA

FEBRUARY 28, 2023

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA.

Big Data 285

Big Data Big Data Machine Learning Machine Learning 285

insideBIGDATA

JUNE 21, 2023

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA.

Big Data 235

Big Data Big Data Machine Learning Machine Learning 235

insideBIGDATA

SEPTEMBER 5, 2023

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA.

Big Data 195

Big Data Big Data Machine Learning Machine Learning 195

insideBIGDATA

AUGUST 1, 2023

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA.

Big Data 195

Big Data Big Data Machine Learning Machine Learning 195

Dataconomy

FEBRUARY 3, 2022

The model, which powers GitHub’s Copilot feature, was heralded at the time as one of the most powerful examples of machine programming, the category of tools that automates the development and maintenance of.

AI 244

AI AI ML ML 244

Towards AI

JANUARY 28, 2024

Furthermore, modularity also allows the combination of models with multiple pre-processing steps to create a pipeline that processes data to features that are then fed to the model. Labeling The dataset contains continuous prices that are converted into categories with respect to the provided thresholds.

Clustering 96

Clustering AI AI Machine Learning 96

Data Science Dojo

MARCH 23, 2024

The very common model types under this category include encoder-only, decoder-only, and encoder-decoder transformers. Some common approaches that define classification under this category include Masked Language Models (MLMs), autoregressive models, and conditional transformers.

Natural Language Processing 516

Natural Language Processing AI AI 516

Dataconomy

NOVEMBER 23, 2023

While we eagerly await Spotify’s Wrapped feature, a third-party tool called Spotify Fanalytics is here to give you a sneak peek into your music preferences. ’ It’s worth noting that these categories might vary from user to user, adding a personal touch to the entire experience. Featured image credit: Anthems.fm

195

195

Dataconomy

FEBRUARY 22, 2024

Toolify is the largest AI tools directory and marketplace, featuring over 9900 AI-powered tools across 233 categories. AI tool categories on Toolify Toolify houses a diverse range of AI tools organized into over 200 categories covering a wide spectrum of capabilities. Image credit ) 3.

AI 113

AI AI Machine Learning Machine Learning 113

Towards AI

NOVEMBER 8, 2023

This information is essential for feature engineering, model selection, and evaluation downstream. The sample data looks like the following: The dataset has 537577 rows and 12 columns divided into the user profile feature group and product feature group, as described below: User feature group: User_ID: Unique ID of the user.

EDA 114

EDA Machine Learning Machine Learning AI 114

Dataconomy

MARCH 1, 2024

Meet the Spotify Song Psychic, the new feature lets you do just that! Spotify warns that while the Song Psychic feature might seem like an AI chatbot, it works differently. What is the new Spotify Song Psychic feature? The new Spotify Song Psychic feature lets you ask questions and receive answers in the form of songs.

AI 103

AI AI 103

ML @ CMU

APRIL 14, 2023

The simulator comes ready with 120 scenes of kitchens, bathrooms, living rooms, and bedrooms with over 116 object categories (and significantly more object instances) scattered throughout. The out of place detector uses visual and relational language features to determine if an object is in or out of place in the context of the scene.

Artificial Intelligence 363

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 363

Google Research AI blog

MAY 12, 2023

This is orders of magnitude smaller than the vocabulary people use to describe the visual world and leaves out many categories. Intuitively, to align the image content with the text description during training, VLMs may learn region-sensitive and discriminative features that are transferable to object detection.

Supervised Learning 96

Supervised Learning 96

Data Science Dojo

MARCH 2, 2024

The intricate mosaic of forests, agricultural lands, urban areas, water bodies, and other terrestrial features form the planet’s land cover. In the process, they initially collect and preprocess satellite images alongside corresponding ground truth data (such as weather conditions) for various land cover categories.

Algorithm 370

Algorithm Machine Learning Machine Learning Artificial Intelligence 370

Towards AI

MAY 10, 2024

It introduces a novel approach that combines the power of stacking ensemble machine learning with sophisticated image feature extraction techniques. The images are separated into four categories: no tumor, glioma tumor, meningioma tumor, and pituitary tumor. Figure 2 shows a sample image for each category.

K-nearest Neighbors 85

K-nearest Neighbors Decision Trees Machine Learning Machine Learning 85

Dataconomy

AUGUST 31, 2023

The goal is to create a model that can accurately predict the class label of a new input, given its features. Machine learning classification is the process of assigning labels or categories to data based on common characteristics or attributes. 0 or 1, yes or no, etc.).

Machine Learning 136

Machine Learning Machine Learning Supervised Learning Algorithm 136

Data Science Dojo

MAY 29, 2023

Types of data visualization Selecting the appropriate visual: Once you have identified your purpose and your audience, the final step is choosing the appropriate visualization to convey your message, some common visuals include: Comparison Charts: compare different groups/categories. Distribution Charts: show distributions of a variable.

Data Visualization 368

Data Visualization Data Science Data Analysis Data Analysis 368

Data Science Dojo

JANUARY 10, 2024

The store facilitates easy exploration of these models, organized into different categories to suit various needs, such as productivity, education, and lifestyle. In this blog, we will delve into the exciting features of the GPT Store, its potential impact on various sectors, and what it means for the future of AI applications.

AI 195

AI AI Artificial Intelligence Artificial Intelligence 195

IBM Data Science in Practice

NOVEMBER 21, 2022

The goal is to classify the complaint into one of the product categories accurately. You can also observe the distribution of product categories as shown below: Product category distribution Some of the product categories have fewer instances compared to others. So, you can drop those categories before training the model.

Deep Learning 130

Deep Learning Deep Learning Exploratory Data Analysis ML 130

Dataconomy

NOVEMBER 21, 2023

Features of Imgcreator AI Imgcreator AI offers a suite of features designed to cater to various image editing and creation needs. AI Image Generator: For users who want to bring text-based ideas to life, the AI Image Generator is the go-to feature. Description needs to be consistent with the category and style you choose.

AI 103

AI AI Artificial Intelligence Artificial Intelligence 103

Dataconomy

JUNE 5, 2023

Regression in machine learning involves understanding the relationship between independent variables or features and a dependent variable or outcome. By leveraging labeled training data, these models learn the underlying patterns and associations between input features and the desired outcome. What is regression in machine learning?

Machine Learning 250

Machine Learning Machine Learning Predictive Analytics Algorithm 250

Towards AI

FEBRUARY 11, 2024

Assume you’re given a table containing data on Amazon customers and their spending on products in different categories, and write a query to identify the top two highest-grossing products within each category in the year 2022. The output should include the category, product, and total spend. You can see in below code.

SQL 83

SQL AI AI Data Engineering 83

phData

JUNE 26, 2023

Well, this blog will help you to address the second part of the above question with the help of the Tableau feature Dynamic Zone Visibility introduced in version 2022.3. The feature is so powerful that possibilities are open-ended but below are a few examples. Here you should see a new option to control visibility using value.

Tableau 52

Tableau Analytics Analytics 52

AWS Machine Learning Blog

MAY 30, 2024

This interface offers CRUD (create, read, update, delete) features for video task extraction management. Website UI The solution features a website that lets users browse videos and manage the uploading process through a user-friendly interface. An AWS Step Functions state machine oversees the analysis process.

AWS 106

AWS AI AI ML 106

Dataconomy

JANUARY 8, 2024

In this program, products are evaluated across a diverse range of consumer technology categories, showcasing the latest and most innovative achievements in the sector. There are two distinct levels of honorees: Honorees: Products that meet or exceed a high standard of excellence in their category are recognized as Honorees.

AI 103

AI AI 103

Data Science Dojo

MAY 14, 2024

In this blog, we will explore the concept of AI-powered CRMs, navigating through the impact of integrating CRMs with generative AI features. Key features of AI CRMs Integrating generative AI into a CRM system transforms various aspects of customer relationship management. What are AI-powered CRMs?

AI 195

AI AI Algorithm Predictive Analytics 195

Mlearning.ai

APRIL 17, 2023

Developing a machine learning model involves several steps: problem formulation, data collection, preprocessing, feature engineering, model-building, deployment, and monitoring. Furthermore, the number of features can be large, and it can be challenging to identify which ones contribute to errors.

Machine Learning 52

Machine Learning Machine Learning Data Analysis Data Analysis 52

Dataconomy

OCTOBER 5, 2023

This feature allows for shared experiences, discussions, and interactions within chat rooms and social communities, creating a vibrant ecosystem of digital companionship. Explore categories : Upon logging in, you’ll likely find a variety of character categories to choose from.

AI 121

AI AI Artificial Intelligence Artificial Intelligence 121

Data Science Dojo

MAY 27, 2024

By spotting features in the data, discriminative models help classify the input into specific groups without looking deep into how the data is spread out. In contrast, discriminative AI primarily operates in supervised learning settings, leveraging labeled data to classify input into predefined categories.

K-nearest Neighbors 195

K-nearest Neighbors AI AI Supervised Learning 195

ODSC - Open Data Science

MAY 23, 2024

In a special event on May 20 at their new campus, Microsoft introduced a category of Windows PCs: Copilot+ PCs via a blog post the company shared. But there are other features the company shared, especially for productivity-focused users. Finally, there is the Live Captions feature.

Data Science 52

Data Science AI AI Artificial Intelligence 52

phData

JANUARY 30, 2024

This dataset consists of 2,225 news articles in five different categories: business, entertainment, politics, sports, and technology. We will create more Snowflake tables to act as parts of a feature store , explore those features for value, and try our hand at a couple of different models to classify a hold-out set. distinct().groupBy("WORD").count().withColumn("IDF",

ML 98

ML ML Python Database 98

AWS Machine Learning Blog

NOVEMBER 26, 2023

You can recommend actions such as enrolling in loyalty programs, signing up for a newsletter or magazine, exploring a new category, downloading an app, and other actions that encourage conversion. User A is a frequent buyer and has shopped mostly in the “Beauty & Grooming” and “Jewelry” categories in the past.

AWS 75

AWS ML ML Machine Learning 75

phData

OCTOBER 9, 2023

This feature automates the creation of these types of parameters instead of requiring some of the more labor-intensive workarounds that existed in the past. Field Parameters are a feature that equips users with the ability to toggle between multiple dimensions or values in a data model , thereby changing what is displayed on a visualization.

Power BI 59

Power BI Tableau Data Modeling Data Models 59