IBM Journey to AI blog

FEBRUARY 14, 2024

Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions. Computer vision guides self-driving cars.

Computer Vision 247

Computer Vision NLP Robotics Automation 247

IBM Journey to AI blog

DECEMBER 15, 2023

Scikit-learn is a powerful open-source Python library for machine learning and predictive data analysis. Its simple setup, reusable components and large, active community make it accessible and efficient for data mining and analysis across various contexts. Morgan and Spotify.

AI Tools 207

AI Tools Deep Learning Computer Vision Python 207

Unite.AI

MARCH 28, 2025

AI capabilities built-in: Includes AI Computer Vision for UI automation, Document Understanding for OCR, and now generative AI integration for understanding text and building automations (Autopilot interface). ThoughtSpot Spotter ThoughtSpot Spotter is a conversational analytics AI agent that turns data analysis into a simple dialogue.

Automation 159

Automation Chatbots AI AI 159

Unite.AI

NOVEMBER 6, 2023

For instance, NN used for computer vision tasks (object detection and image segmentation) are called convolutional neural networks (CNNs) , such as AlexNet , ResNet , and YOLO. Finally, traditional machine learning remains a robust solution for diverse industries addressing scalability, data complexity, and resource constraints.

Machine Learning 203

Machine Learning Neural Network Deep Learning Convolutional Neural Networks 203

Marktechpost

NOVEMBER 10, 2023

In image recognition, researchers and developers constantly seek innovative approaches to enhance the accuracy and efficiency of computer vision systems. However, recent advancements have paved the way for exploring alternative architectures, prompting the integration of Transformer-based models into visual data analysis.

Convolutional Neural Networks 108

Convolutional Neural Networks Computer Vision Natural Language Processing Neural Network 108

Unite.AI

SEPTEMBER 18, 2023

Artificial Intelligence is a very vast branch in itself with numerous subfields including deep learning, computer vision , natural language processing , and more. Large-scale data analysis methods that offer privacy protection by utilizing both blockchain and AI technology.

Deep Learning 320

Deep Learning Artificial Intelligence Artificial Intelligence AI 320

Artificial Corner

JANUARY 23, 2025

2 Python for Data Analysis Course This one is more like a playlist than a course; however, you will find more useful lectures in this playlist than in some paid courses. The first 8 videos in the playlist make a 10-hour data analysis course. 4 Machine Learning & Artificial Intelligence with Tensorflow 2.0

Data Science 95

Data Science Python Convolutional Neural Networks Natural Language Processing 95

Pickl AI

JANUARY 26, 2025

Introduction Deep Learning models transform how we approach complex problems, offering powerful tools to analyse and interpret vast amounts of data. These models mimic the human brain’s neural networks, making them highly effective for image recognition, natural language processing, and predictive analytics.

Deep Learning 52

Deep Learning Neural Network Convolutional Neural Networks Natural Language Processing 52

Marktechpost

JULY 3, 2024

In the dynamic world of technology, Large Language Models (LLMs) have become pivotal across various industries. Their adeptness at natural language processing, content generation, and data analysis has paved the way for numerous applications.

LLM 129

LLM Natural Language Processing Large Language Models Big Data 129

Marktechpost

JUNE 23, 2024

The difficulty lies in extracting relevant information from images and correlating it with textual data, essential for advancing research and applications in this field. Existing work includes isolated computer vision techniques for image classification and natural language processing for textual data analysis.

Large Language Models 121

Large Language Models Computer Vision Natural Language Processing Data Analysis 121

Viso.ai

MARCH 26, 2024

Arguably, one of the most pivotal breakthroughs is the application of Convolutional Neural Networks (CNNs) to financial processes. This drastically enhanced the capabilities of computer vision systems to recognize patterns far beyond the capability of humans. 2: Automated Document Analysis and Processing No.3:

Computer Vision 52

Computer Vision Neural Network Machine Learning Convolutional Neural Networks 52

IBM Journey to AI blog

DECEMBER 20, 2023

Whether it’s deeper data analysis, optimization of business processes or improved customer experiences , having a well-defined purpose and plan will ensure that the adoption of AI aligns with the broader business goals. Without an AI strategy, organizations risk missing out on the benefits AI can offer.

AI Strategy 224

AI Strategy Artificial Intelligence Artificial Intelligence Machine Learning 224

Marktechpost

JUNE 30, 2024

The AI Workbook: AI workbooks combine the power of AI with traditional data analysis and management tools. These platforms enhance data processing capabilities, allowing users to automate data entry, perform complex calculations, and generate insights from large datasets.

Generative AI 114

Generative AI Chatbots Natural Language Processing Automation 114

Viso.ai

NOVEMBER 19, 2023

This includes various products related to different aspects of AI, including but not limited to tools and platforms for deep learning, computer vision, natural language processing, machine learning, cloud computing, and edge AI. Software #9: Observe.AI Software #10: TensorFlow Software #11: H2O.ai

Computer Vision 97

Computer Vision Machine Learning Natural Language Processing Deep Learning 97

John Snow Labs

MAY 23, 2023

Visual question answering (VQA), an area that intersects the fields of Deep Learning, Natural Language Processing (NLP) and Computer Vision (CV) is garnering a lot of interest in research circles. Two other possible applications of VQA are self-driving cars and data analysis. Spanish or Arabic ).

Natural Language Processing 40

Natural Language Processing Deep Learning NLP Convolutional Neural Networks 40

Marktechpost

OCTOBER 23, 2024

Statistical inference is crucial for concluding a population based on sample data, which is needed for model evaluation and prediction. Bayesian statistics provides a framework for updating beliefs with new evidence, making it valuable for tasks such as recommendation systems and natural language processing.

Neural Network 115

Neural Network Algorithm Robotics Machine Learning 115

Viso.ai

OCTOBER 10, 2024

Pattern Recognition in Data Analysis What is Pattern Recognition? provides Viso Suite , the world’s only end-to-end Computer Vision Platform. The solution enables teams worldwide to develop and deliver custom real-world computer vision applications. How does Pattern Recognition Work? What Is a Pattern?

Neural Network 98

Neural Network Computer Vision Deep Learning Machine Learning 98

Towards AI

JUNE 27, 2023

For instance, today’s machine learning tools are pushing the boundaries of natural language processing, allowing AI to comprehend complex patterns and languages. Scikit Learn Scikit Learn is a comprehensive machine learning tool designed for data mining and large-scale unstructured data analysis.

Machine Learning 98

Machine Learning ML Neural Network Natural Language Processing 98

ODSC - Open Data Science

MAY 22, 2023

Introduction to Data Analysis Using Pandas Stefanie Molin | Software Engineer, Data Scientist, Chief Information Security Office | Bloomberg LP | Author of Hands-On Data Analysis with Pandas This session will equip you with the knowledge you need to effectively use pandas to make working with data easier.

Data Science 97

Data Science Python Machine Learning Data Analysis 97

AWS Machine Learning Blog

DECEMBER 29, 2022

Data analysis and modeling can be challenging when working with large datasets in the cloud. Amazon Redshift is a popular data warehouse that can help users perform these tasks. RStudio, one of the most widely used integrated development environments (IDEs) for data analysis, is often used with R language.

Machine Learning 122

Machine Learning Natural Language Processing Data Scientist Data Analysis 122

Viso.ai

DECEMBER 1, 2023

Value of AI models for businesses The most popular AI models AI models in computer vision applications – Viso Suite About us: We provide the platform Viso Suite to collect data and train, deploy, and scale AI models on powerful infrastructure. In computer vision, this process is called image annotation.

AI Modeling 98

AI Modeling Neural Network Deep Learning Computer Vision 98

IBM Journey to AI blog

JULY 6, 2023

Machine learning can then “learn” from the data to create insights that improve performance or inform predictions. Just as humans can learn through experience rather than merely following instructions, machines can learn by applying tools to data analysis.

Data Science 175

Data Science Machine Learning Big Data Data Mining 175

AWS Machine Learning Blog

NOVEMBER 10, 2023

In this post, we discuss how you can use pre-trained models to retrieve predictions for supported data types beyond tabular data. Text data SageMaker Canvas provides a visual, no-code environment for building, training, and deploying ML models. You can analyze text for sentiment, entities, languages, and PII.

Machine Learning 111

Machine Learning Computer Vision ML NLP 111

AWS Machine Learning Blog

JUNE 25, 2024

Businesses can use LLMs to gain valuable insights, streamline processes, and deliver enhanced customer experiences. Web data analysis for product information extraction – In the realm of ecommerce, extracting accurate and comprehensive product information from webpages is crucial for effective data management and analysis.

Automation 119

Automation Prompt Engineer Prompt Engineering Categorization 119

Marktechpost

JULY 5, 2024

These courses cover foundational topics such as machine learning algorithms, deep learning architectures, natural language processing (NLP), computer vision, reinforcement learning, and AI ethics. Udacity offers comprehensive courses on AI designed to equip learners with essential skills in artificial intelligence.

Data Science 61

Data Science Machine Learning Data Analysis Software Engineer 61

Topbots

OCTOBER 17, 2023

Enhanced Customer Relationship Management (CRM) : AI can analyze customer data to provide insights, helping sales teams better understand customer needs and preferences, which in turn improves relationship management and sales performance. Generative AI has opened up new ways for AI to boost marketing and sales effectiveness and efficiency.

Generative AI 114

Generative AI Automation AI AI 114

Chatbots Life

APRIL 16, 2024

This is useful in natural language processing tasks. Anomaly Detection Generative models can detect anomalies in data by identifying samples that deviate significantly from the learned distribution. They assist in email spam detection, article classification, and customer feedback analysis.

Neural Network 59

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 59

Marktechpost

AUGUST 10, 2023

They are showing mind-blowing capabilities in user-tailored natural language processing functions but seem to be lacking the ability to understand the visual world. To bridge the gap between the vision and language world, researchers have presented the All-Seeing (AS) project.

Auto-classification 98

Auto-classification Natural Language Processing Large Language Models LLM 98

Mlearning.ai

JULY 17, 2023

Here we will delve into ten advanced ML techniques that every data scientist should know. These techniques have proven to be powerful in various domains, from natural language processing to computer vision and beyond.

Data Scientist 52

Data Scientist ML Neural Network Natural Language Processing 52

Pickl AI

APRIL 19, 2024

Specialise in domains like machine learning or natural language processing to deepen expertise. Neural Networks: Inspired by the human brain’s structure, neural networks are algorithms that allow machines to recognise patterns and make decisions based on input data.

Neural Network 52

Neural Network Natural Language Processing Machine Learning Computer Vision 52

Pickl AI

AUGUST 29, 2024

This approach improves efficiency and accuracy, especially when dealing with limited labelled data. Introduction Machine Learning has revolutionised the way we approach Data Analysis and model training, enabling machines to learn from data and make predictions or decisions.

Machine Learning 52

Machine Learning Natural Language Processing Computer Vision Data Quality 52

Pickl AI

NOVEMBER 13, 2024

Each type employs distinct methodologies for Data Analysis and decision-making. Typically used for clustering (grouping data into categories) or dimensionality reduction (simplifying data without losing important information). Often used for exploratory Data Analysis. text, images, and videos).

Machine Learning 52

Machine Learning Natural Language Processing Robotics Computer Vision 52

Heartbeat

MARCH 14, 2024

Process Optimization: ML algorithms can continuously analyze and optimize complex industrial processes, leading to increased efficiency, reduced resource consumption, and improved product quality. Computer Vision (CV): CV is transforming quality control in manufacturing.

ML 52

ML Computer Vision Algorithm Automation 52

Pickl AI

JANUARY 29, 2024

ML focuses on enabling computers to learn from data and improve performance over time without explicit programming. Key Components In Data Science, key components include data cleaning, Exploratory Data Analysis, and model building using statistical techniques. billion in 2022 to a remarkable USD 484.17

Data Science 52

Data Science ML Machine Learning Artificial Intelligence 52

Pickl AI

JULY 12, 2024

Scikit-learn: A simple and efficient tool for data mining and data analysis, particularly for building and evaluating machine learning models. At the same time, Keras is a high-level neural network API that runs on top of TensorFlow and simplifies the process of building and training deep learning models.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Neural Network 52

Pickl AI

OCTOBER 25, 2023

Natural Language Processing AI technologies, like Natural Language Processing (NLP), enable computers to understand, interpret, and generate human language. This has paved the way for chatbots, virtual assistants, and sentiment analysis tools.

Big Data 52

Big Data Artificial Intelligence Artificial Intelligence Machine Learning 52

Viso.ai

JANUARY 2, 2024

In the following, we will explore Convolutional Neural Networks (CNNs), a key element in computer vision and image processing. Viso Suite enables the use of neural networks for computer vision with no code. Le propose architectures that balance accuracy and computational efficiency.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Data Scarcity 52