Unite.AI

AUGUST 11, 2024

Users can set up custom streams to monitor keywords, hashtags, and mentions in real-time, while the platform's AI-powered sentiment analysis automatically categorizes mentions as positive, negative, or neutral, providing a clear gauge of public perception.

Categorization 300

Categorization AI AI Automation 300

Towards AI

SEPTEMBER 2, 2024

This is exactly what happens when you try to feed categorical data into a machine-learning model. Image generated by Dall-E In this hands-on tutorial, we’ll unravel the mystery of encoding categorical data so your models can process it with ease. Before we start transforming data, let’s get our definitions straight.

Categorization 105

Categorization Machine Learning Python AI 105

Marktechpost

NOVEMBER 11, 2024

Python has become the go-to language for data analysis due to its elegant syntax, rich ecosystem, and abundance of powerful libraries. Data scientists and analysts leverage Python to perform tasks ranging from data wrangling to machine learning and data visualization.

Data Analysis 91

Data Analysis Python Natural Language Processing Computer Vision 91

Unite.AI

JANUARY 5, 2025

Key features: AI content generation system for product descriptions and emails Image enhancement tools with background manipulation capabilities Real-time chat response framework for customer support Data analysis engine providing actionable business insights Step-by-step guidance system for store management tasks Visit Shopify Magic 2.

AI Tools 147

AI Tools Automation AI AI 147

SAS Software

JANUARY 8, 2024

The post Reporting statistics for unobserved levels of categorical variables appeared first on SAS Blogs. For example, in a small sample of US voters, you are likely to observe members of the major political parties, but less likely to observe members of minor or fringe parties. This can cause a headache [.]

Categorization 72

Categorization Data Analysis 72

AssemblyAI

MAY 24, 2024

4 Ways to Use Speech AI for Healthcare Market Research Speech AI helps researchers gain deeper insights, improve the accuracy of their data, and accelerate the time from research to actionable results. Marvin is a qualitative data analysis platform that has integrated advanced AI models to accelerate and improve its research processes.

Categorization 147

Categorization Data Analysis AI AI 147

Towards AI

FEBRUARY 10, 2025

This panel has designed the guidelines for annotating the wellness dimensions and categorized the posts into the six wellness dimensions based on the sensitive content of each post. The techniques we used for in-depth analysis were: Multi-Label Classification The first step to proceed with our MULTIWD was Multi-Label Classification.

Data Science 91

Data Science BERT Categorization Large Language Models 91

Marktechpost

JANUARY 12, 2025

AI is creating a new scientific paradigm with the acceleration of processes like data analysis, computation, and idea generation. Experiments proceed iteratively, with results categorized as improvements, maintenance, or declines. Artificial Intelligence (AI) is revolutionizing how discoveries are made.

Auto-classification 84

Auto-classification Automation Auto-complete BERT 84

Unite.AI

FEBRUARY 21, 2025

Knowing the amount of data that AI tools can process, this power opens the door to enable unprecedented levels of personalization during customer interactions through data analysis. Leveraging customer data in this way allows AI algorithms to make broader connections across customer order history, preferences, etc.,

Natural Language Processing 147

Natural Language Processing NLP Categorization Algorithm 147

Mlearning.ai

FEBRUARY 28, 2023

Theoretical Explanations and Practical Examples of Correlation between Categorical and Continuous Values Without any doubt, after obtaining the dataset, giving entire data to any ML model without any data analysis methods such as missing data analysis, outlier analysis, and correlation analysis.

Categorization 52

Categorization Data Analysis Neural Network ML 52

Pickl AI

JUNE 11, 2024

Summary: Exploratory Data Analysis (EDA) uses visualizations to uncover patterns and trends in your data. Histograms, scatter plots, and charts reveal relationships and outliers, helping you understand your data and make informed decisions. Imagine a vast, uncharted territory – your data set.

Data Analysis 52

Data Analysis Categorization Data Science Data Discovery 52

Unite.AI

MARCH 19, 2025

By providing a no-code interface and the ability to deploy multiple AI agents, it empowers non-technical users to automate tasks such as customer inquiries and data analysis. It automatically qualifies, categorizes, and nurtures leads, ensuring timely follow-ups and personalized communication.

Auto-complete 130

Auto-complete Automation AI AI 130

Marktechpost

AUGUST 23, 2024

This challenge becomes even more complex given the need for high predictive accuracy and robustness, especially in critical applications such as health care, where the decisions among data analysis can be quite consequential. Different methods have been applied to overcome these challenges of modeling tabular data.

Data Analysis 67

Data Analysis Categorization Large Language Models Machine Learning 67

AWS Machine Learning Blog

NOVEMBER 15, 2024

Oil and gas data analysis – Before beginning operations at a well a well, an oil and gas company will collect and process a diverse range of data to identify potential reservoirs, assess risks, and optimize drilling strategies. Consider a financial data analysis system.

LLM 118

LLM Data Analysis Python Generative AI 118

Pickl AI

MARCH 17, 2025

Summary: This Power BI DAX tutorial introduces beginners to the fundamentals of Data Analysis Expressions, including syntax, functions, and context. It covers creating measures and calculated columns, using aggregate functions, and applying time intelligence for advanced Data Analysis. What is DAX?

Data Analysis 52

Data Analysis Business Intelligence Categorization 52

Pickl AI

OCTOBER 14, 2024

Summary: This article explores different types of Data Analysis, including descriptive, exploratory, inferential, predictive, diagnostic, and prescriptive analysis. Introduction Data Analysis transforms raw data into valuable insights that drive informed decisions. What is Data Analysis?

Data Analysis 52

Data Analysis Data Mining Data Discovery Machine Learning 52

Pickl AI

MAY 30, 2024

Summary: The Data Science and Data Analysis life cycles are systematic processes crucial for uncovering insights from raw data. Quality data is foundational for accurate analysis, ensuring businesses stay competitive in the digital landscape. billion INR by 2026, with a CAGR of 27.7%.

Data Analysis 52

Data Analysis Data Science Data Scientist Data Quality 52

IBM Journey to AI blog

DECEMBER 20, 2023

Classification algorithms —predict categorical output variables (e.g., “junk” or “not junk”) by labeling pieces of input data. Regression algorithms —predict output values by identifying linear relationships between real or continuous values (e.g., temperature, salary).

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Heartbeat

JANUARY 24, 2024

Making visualizations is one of the finest ways for data scientists to explain data analysis to people outside the business. Exploratory data analysis can help you comprehend your data better, which can aid in future data preprocessing. Exploratory Data Analysis What is EDA?

Data Analysis 52

Data Analysis Categorization Data Scientist Machine Learning 52

Towards AI

FEBRUARY 26, 2024

Data Collection Exploration and Analysis Data Collection Visualization of data and summary of observations 3. Data Pre-Processing Handling Missing Values Encoding Categorical Variables Feature Scaling Data Splitting (Training and Validation) 4. abdomo protein’: Protein level in the abdominal fluid.

Machine Learning 115

Machine Learning Categorization Data Analysis Python 115

Marktechpost

OCTOBER 29, 2024

Its Python domain offers simple, medium, and hard challenges that are categorized for gradual learning. These challenges are perfect for programmers who wish to methodically improve their Python skills because they cover a wide range of subjects, including strings, data types, collections, and regex.

Python 113

Python Machine Learning Categorization Algorithm 113

Marktechpost

SEPTEMBER 26, 2023

In the domain of reasoning under uncertainty, probabilistic graphical models (PGMs) have long been a prominent tool for data analysis. Many graphical models are designed to work exclusively with continuous or categorical variables, limiting their applicability to data that spans different types.

Neural Network 135

Neural Network Categorization Data Scientist Data Analysis 135

Unite.AI

SEPTEMBER 18, 2023

Blockchain technology can be categorized primarily on the basis of the level of accessibility and control they offer, with Public, Private, and Federated being the three main types of blockchain technologies. Large-scale data analysis methods that offer privacy protection by utilizing both blockchain and AI technology.

Deep Learning 321

Deep Learning Artificial Intelligence Artificial Intelligence AI 321

SAS Software

JULY 17, 2023

The post Standardize regression coefficients for models that include categorical variables appeared first on SAS Blogs. It also discusses how to interpret a standardized regression coefficient. Recently, a SAS user wanted to know how [.]

Categorization 52

Categorization Data Analysis 52

Towards AI

APRIL 7, 2024

Figure 3: The required python libraries The problem presented to us is a predictive analysis problem which means that we will be heavily involved in finding patterns and predictions rather than seeking recommendations. One important stage of any data analysis/science project is EDA. Exploratory Data Analysis is a pre-study.

Machine Learning 124

Machine Learning Data Analysis Data Science Automation 124

AWS Machine Learning Blog

JUNE 25, 2024

Manually analyzing and categorizing large volumes of unstructured data, such as reviews, comments, and emails, is a time-consuming process prone to inconsistencies and subjectivity. We provide a prompt example for feedback categorization. For more information, refer to Prompt engineering. No explanation is required.

Automation 125

Automation Prompt Engineer Prompt Engineering Categorization 125

Pickl AI

DECEMBER 26, 2024

This synergy enhances Data Analysis, accelerates problem-solving, and opens new avenues in fields such as drug discovery, financial modeling, and climate science, promising significant advancements in various industries. These processes include learning, reasoning, problem-solving, perception, and language understanding.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Algorithm 52

Mlearning.ai

APRIL 17, 2023

Without further ado, let’s dive in to our study… Photograph Via : Steven Yu | Pexels, Pixabay Hello, my previous work Analyzing and Visualizing Earthquake Data Received with USGS API in Python Environment I prepared a new work after 3 weeks. Now, I will be conducting an exploratory data analysis study. value_counts().to_dict()

Data Analysis 52

Data Analysis Categorization ML Explainability 52

Marktechpost

MAY 18, 2024

Effective graph pooling is essential for downsizing and learning representations, categorized into global and hierarchical pooling. GNNs, classified into spectral-based and spatial-based, excel in graph data analysis. Both face over-smoothing issues, addressed by models like MixHop and N-GCN.

Neural Network 109

Neural Network Categorization Deep Learning Data Analysis 109

AssemblyAI

MAY 14, 2024

Automated Data Analysis Marvin integrates advanced AI models to provide automated transcription services that convert audio and video data into accurate, actionable text. It lets users analyze text to detect patterns, extract meaningful information, and even redact sensitive data (automatically). For example, Corti.ai

Natural Language Processing 147

Natural Language Processing Automation Robotics Categorization 147

Marktechpost

MAY 7, 2024

Moreover, differences in data table structures between BI and traditional SQL contexts further complicate the translation process. As thousands of organizations leverage Business Intelligence (BI) for decision support, industry researchers have honed in on NL2BI, a scenario where natural language is transformed into BI queries.

Business Intelligence 117

Business Intelligence Prompt Engineering Prompt Engineer Natural Language Processing 117

AssemblyAI

NOVEMBER 30, 2023

  Source: CallRail For example, its AI Conversational Intelligence feature auto-scores and categorizes key sections of customers’ calls, helping users more efficiently and intelligently process call data at scale.

Large Language Models 147

Large Language Models Data Analysis AI Tools AI 147

AssemblyAI

MARCH 3, 2024

This article examines how AI models can be leveraged to help market research platforms build powerful tools that can: Transcribe asynchronous and live voice and video feedback to make review and analysis more efficient. Generate key themes and highlights to speed up research analysis.

Categorization 147

Categorization Large Language Models AI AI 147

Marktechpost

JULY 18, 2024

This approach involves generalizing classical statistical and deep learning methods to handle data that does not conform to traditional Euclidean assumptions. The researchers have developed a graphical taxonomy that categorizes these modern techniques, facilitating an understanding of their applications and relationships.

Machine Learning 135

Machine Learning Computer Vision Neural Network Deep Learning 135

IBM Journey to AI blog

AUGUST 28, 2023

Data extraction Once you’ve assigned numerical values, you will apply one or more text-mining techniques to the structured data to extract insights from social media data. It also automates tasks like information extraction and content categorization. positive, negative or neutral).

Data Mining 170

Data Mining Convolutional Neural Networks Categorization Machine Learning 170

Marktechpost

SEPTEMBER 8, 2023

Microsoft Power BI Microsoft Power BI, a powerful business intelligence platform that lets users filter through data and visualize it for insights, is another top AI tool for data analysis. Users may import data from practically anywhere into the platform and immediately create reports and dashboards.

AI Tools 132

AI Tools Data Science Machine Learning Data Analysis 132

Pickl AI

MARCH 5, 2025

The mode is handy for categorical data, such as survey responses, product preferences, or election results. For categorical data , suppose a survey asks 100 people their favorite fruit, and 40 choose mango, 35 choose apple, and 25 choose banana. No mode : If all values appear the same number of times, there is no mode.

Categorization 52

Categorization Data Analysis Data Science 52