Marktechpost

NOVEMBER 12, 2024

Data analysis is the cornerstone of modern decision-making. It involves the systematic process of collecting, cleaning, transforming, and interpreting data to extract meaningful insights. In this article, we delve into eight powerful data analysis methods and techniques that are essential for data-driven organizations: 1.

Data Analysis 105

Data Analysis Data Mining Categorization Machine Learning 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 89

Data Analysis Python Natural Language Processing Computer Vision 89

Marktechpost

JANUARY 12, 2025

Artificial Intelligence (AI) is revolutionizing how discoveries are made. 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.

Auto-classification 82

Auto-classification Automation Auto-complete BERT 82

Unite.AI

SEPTEMBER 18, 2023

These privacy protection techniques not only protect the privacy of individuals, but they also guarantee the dependability and security of the data. Another subfield that is quite popular amongst AI developers is deep learning, an AI technique that works by imitating the structure of neurons.

Deep Learning 318

Deep Learning Artificial Intelligence Artificial Intelligence AI 318

AssemblyAI

MAY 24, 2024

Companies continue to integrate Speech AI technology to turn voice data into insights, and it's paving the way for revolutionary new research techniques. These AI systems can sift through massive amounts of data to uncover patterns and trends that would take human analysts much longer to discover with the naked eye.

Categorization 147

Categorization Data Analysis AI AI 147

Unite.AI

FEBRUARY 21, 2025

The product cloud, on the other hand, is a composable suite of technologies that supports the entire product record for both dynamic and static data across the entire product lifecycle; our flexible, scalable PIM solution is a crucial aspect of the product cloud, however its only one part.

Natural Language Processing 144

Natural Language Processing NLP Categorization Algorithm 144

Unite.AI

AUGUST 27, 2024

Or perhaps you've grown frustrated with AI tools that often fall short of your research needs? It's easy to spend countless hours navigating through search results and wrestling with AI tools that rarely seem to deliver exactly what you need. That's exactly what Perplexity AI offers! Built-in AI image generators.

ChatGPT 261

ChatGPT AI AI AI Tools 261

Towards AI

FEBRUARY 10, 2025

Author(s): MSVPJ Sathvik Originally published on Towards AI. 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. What are wellness dimensions? Considering its structure, we have taken Halbert L.

Data Science 91

Data Science BERT Categorization Large Language Models 91

IBM Journey to AI blog

DECEMBER 20, 2023

That’s why diversifying enterprise AI and ML usage can prove invaluable to maintaining a competitive edge. ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. What is machine learning?

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Pickl AI

DECEMBER 26, 2024

Summary: The convergence of Artificial Intelligence (AI) and Quantum Computing is revolutionizing technology by combining quantum processing power with AI’s learning capabilities. Key Takeaways Quantum Computing significantly accelerates AI model training and data processing times.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Algorithm 52

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 64

Data Analysis Categorization Large Language Models Machine Learning 64

AssemblyAI

MAY 14, 2024

Speech AI technology (including Speech-to-Text, Audio Intelligence, and LLM capabilities ) has quickly become an integral part of thousands of organizations and developer workflows. Whether you're a developer, founder, or product innovator, here are 18 ways to leverage Speech AI technology to launch new products and services.

Natural Language Processing 147

Natural Language Processing Automation Robotics Categorization 147

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

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. Each category necessitates specialized generative AI-powered tools to generate insights.

LLM 111

LLM Data Analysis Python Generative AI 111

AssemblyAI

NOVEMBER 30, 2023

If the data is analyzed, it is typically performed manually, resulting in small sample sizes (less than 5% of all conversational data available) that make it difficult to extrapolate broader findings and apply these findings to make informed business decisions.   What are the benefits of AI-powered call analytics?

Large Language Models 147

Large Language Models Data Analysis AI Tools AI 147

AssemblyAI

MARCH 3, 2024

Market research platforms offer users valuable market research tools that analyze qualitative and quantitative audio, video, and text-based customer feedback, so users can gain insights from the data. Generate key themes and highlights to speed up research analysis. What is a market research platform?

Categorization 147

Categorization Large Language Models AI AI 147

Towards AI

FEBRUARY 26, 2024

Last Updated on February 27, 2024 by Editorial Team Author(s): Kamireddy Mahendra Originally published on Towards AI. Data Collection Exploration and Analysis Data Collection Visualization of data and summary of observations 3. abdomo protein’: Protein level in the abdominal fluid. get_ylim()[1] ax[i].set_ylim(top=ylim_top

Machine Learning 115

Machine Learning Categorization Data Analysis Python 115

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

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 131

AI Tools Data Science Machine Learning Data Analysis 131

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

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 111

Python Machine Learning Categorization Algorithm 111

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

Marktechpost

MARCH 21, 2024

Previous strategies have primarily focused on improving the models’ ability to recognize and categorize visual elements. Yet, the leap from mere recognition to sophisticated reasoning, where a model sees, understands, and infers from visual data, has to be discovered. Check out the Paper.

AI Research 131

AI Research AI Researcher Large Language Models Categorization 131

Towards AI

APRIL 7, 2024

Author(s): Juliusnyambok Originally published on Towards AI. 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. 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. With Amazon Bedrock, developers can experiment, evaluate, and deploy generative AI applications without worrying about infrastructure management.

Automation 116

Automation Prompt Engineer Prompt Engineering Categorization 116

IBM Journey to AI blog

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Data Mining 170

Data Mining Convolutional Neural Networks Categorization Machine Learning 170

Marktechpost

JULY 18, 2024

A team of researchers from the University of California, Santa Barbara, Atmo, Inc, New Theory AI, Universite C´ ote d’Azur & Inria, and the University of California, Berkeley proposes a comprehensive framework for modern machine learning that integrates non-Euclidean geometries, topologies, and algebraic structures.

Machine Learning 134

Machine Learning Computer Vision Deep Learning Neural Network 134

AWS Machine Learning Blog

FEBRUARY 25, 2025

Since then, we have optimized data strategies, developed customized solutions for customers, and prepared for the technological revolution reshaping the industry. AI now plays a pivotal role in the development and evolution of the automotive sector, in which Applus+ IDIADA operates.

Chatbots 69

Chatbots Categorization LLM Algorithm 69

AssemblyAI

NOVEMBER 27, 2023

With the abundance of AI models and systems now available, many companies are incorporating AI into their product roadmap.    Your team may be leveraging AI speech recognition models that automatically process voice data (such as phone calls, virtual meetings, podcasts, etc.)

Large Language Models 147

Large Language Models AI AI AI Modeling 147

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 107

Neural Network Categorization Deep Learning Data Analysis 107

Towards AI

NOVEMBER 8, 2023

Last Updated on November 9, 2023 by Editorial Team Author(s): Kelvin Lu Originally published on Towards AI. As shown in the profile of the dataset, there are both integer and categorical features. There’re some interesting details in the data. Product_Category_1 to _3: Category of the product. Target: Purchase: Purchase amount.

Categorization 124

Categorization Explainability Machine Learning Data Analysis 124

Marktechpost

SEPTEMBER 26, 2024

The Role of AI in Multi-Omics Analysis for NSCLC Treatment: The integrated multi-omics data analysis—including genomic, transcriptomic, proteomic, metabolomic, and interactomic data—has become essential for understanding the complex mechanisms behind cancer development and progression.

Deep Learning 106

Deep Learning Machine Learning Neural Network Categorization 106

John Snow Labs

JANUARY 30, 2025

These approaches streamline oncology data analysis, enhance decision-making, and improve patient outcomes. These AI tools can identify subtle patterns and risk factors that might be overlooked in traditional screening methods, potentially enabling earlier interventions and improving patient outcomes.

NLP 52

NLP Large Language Models LLM Data Analysis 52

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 114

Business Intelligence Prompt Engineering Prompt Engineer Natural Language Processing 114

Marktechpost

DECEMBER 24, 2023

Specifically in plant pathology, its rapid data analysis revolutionizes disease management, offering efficient solutions for crop protection and heightened productivity. The post Revolutionizing Agriculture with AI: A Deep Dive into Machine Learning for Leaf Disease Classification and Smart Farming appeared first on MarkTechPost.

Machine Learning 117

Machine Learning Convolutional Neural Networks Neural Network Deep Learning 117

Towards AI

APRIL 7, 2024

Last Updated on April 7, 2024 by Editorial Team Author(s): Prashant Kalepu Originally published on Towards AI. Data Collection and Preprocessing The first step in building any machine learning model is to gather and preprocess your data. This involves visualizing the data and analyzing key statistics.

Machine Learning 105

Machine Learning AI Modeling Categorization Data Analysis 105