Unite.AI

NOVEMBER 6, 2023

High-Dimensional and Unstructured Data : Traditional ML struggles with complex data types like images, audio, videos, and documents. Adaptability to Unseen Data: These models may not adapt well to real-world data that wasn’t part of their training data. Do We Still Need Traditional Machine Learning Algorithms?

Machine Learning 204

Machine Learning Neural Network Deep Learning Convolutional Neural Networks 204

Marktechpost

NOVEMBER 23, 2023

Researchers have introduced a novel approach using topological data analysis (TDA), to solve the issue. These models, including machine learning, neural networks, and AI models, have become standard tools in various scientific fields but are often difficult to interpret due to their extensive parameterization.

Deep Learning 127

Deep Learning AI Modeling Neural Network Machine Learning 127

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. 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 321

Deep Learning Artificial Intelligence Artificial Intelligence AI 321

Marktechpost

MAY 18, 2024

Graph Neural Networks GNNs are advanced tools for graph classification, leveraging neighborhood aggregation to update node representations iteratively. Effective graph pooling is essential for downsizing and learning representations, categorized into global and hierarchical pooling. Baselines include hierarchical methods (e.g.,

Neural Network 109

Neural Network Categorization Deep Learning Data Analysis 109

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

Towards AI

DECEMBER 16, 2024

Kernel Arnold Networks (KAN) Summary: Kernel Arnold Networks (KAN) propose a new way of representing and processing data, challenging traditional deep neural networks. Key Contributions: Unique combination of kernel methods with deep learning principles.

AI Research 111

AI Research AI Researcher Computer Vision Neural Network 111

Marktechpost

SEPTEMBER 26, 2023

In the domain of reasoning under uncertainty, probabilistic graphical models (PGMs) have long been a prominent tool for data analysis. They introduce Neural Graphical Models (NGMs), a novel type of PGM that leverages deep neural networks to learn and efficiently represent probability functions over a domain.

Neural Network 135

Neural Network Categorization Data Scientist Data Analysis 135

Unite.AI

FEBRUARY 6, 2025

Such a project would introduce concepts that include data analysis, feature engineering, and model evaluation while also providing a deep understanding of the ML lifecyclea key framework for systematically solving problems. Its helpful to start by choosing a project that is both interesting and manageable within the scope of ML.

Artificial Intelligence 165

Artificial Intelligence Artificial Intelligence ML Responsible AI 165

AI Weekly

JULY 13, 2023

psychologytoday.com Decoding How Spotify Recommends Music to Users Machine learning (ML) and artificial intelligence (AI) have revolutionized the music streaming industry by enhancing the user experience, improving content discovery, and enabling personalized recommendations. [Try Pluto for free today] pluto.fi

Neural Network 242

Neural Network Robotics ChatGPT Computer Vision 242

Unite.AI

MAY 8, 2024

He began his career at Yandex in 2017, concurrently studying at the Yandex School of Data Analysis. This interest led me to the Yandex School of Data Analysis, a highly competitive machine learning master's degree program in Russia (only 200 people are accepted each year).

Machine Learning 298

Machine Learning Software Engineer Large Language Models Data Analysis 298

Marktechpost

MAY 5, 2024

Machine Learning Specialization “Machine Learning Specialization” teaches the core concepts of machine learning and how to build real-world AI applications using the same. The course covers numerous algorithms of supervised and unsupervised learning and also teaches how to build neural networks using TensorFlow.

Machine Learning 120

Machine Learning Python Neural Network Convolutional Neural Networks 120

IBM Journey to AI blog

DECEMBER 20, 2023

On retail websites, for instance, machine learning algorithms influence consumer buying decisions by making recommendations based on purchase history. And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences.

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Pickl AI

SEPTEMBER 3, 2024

Summary: Artificial Neural Network (ANNs) are computational models inspired by the human brain, enabling machines to learn from data. Inspired by the human brain’s structure and function, these networks are designed to identify patterns, make predictions, and solve complex problems across various domains.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 52

AI News

OCTOBER 15, 2024

Some of the benefits included in using these machine learning technologies include: 24/7 availability : Chatbots are available any time, so employees do not need to work extra shifts or at night to be available. Fraud detection systems : To assist in fraud detection, machine learning systems prevent financial losses and protect customer data.

Machine Learning 288

Machine Learning Chatbots Business Intelligence Automation 288

Pickl AI

NOVEMBER 22, 2024

Summary: Long Short-Term Memory (LSTM) networks are a specialised form of Recurrent Neural Networks (RNNs) that excel in learning long-term dependencies in sequential data. Understanding Recurrent Neural Networks (RNNs) To appreciate LSTMs, it’s essential to understand RNNs.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Natural Language Processing NLP 52

Marktechpost

MARCH 31, 2024

Whether you’re a beginner, a seasoned data scientist, or someone interested in leveraging data in your work, our carefully selected list of top data science books for 2024 offers a comprehensive guide. The book covers topics like supervised learning, unsupervised learning, neural networks, support vector machines, etc.

Data Science 120

Data Science Data Mining Machine Learning Neural Network 120

Mlearning.ai

MAY 30, 2023

Recurrent Neural Networks (RNNs) have become a potent tool for analysing sequential data in the large subject of artificial intelligence and machine learning. As we know that Convolutional Neural Network (CNN) is used for structured arrays of data such as image data.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 52

Marktechpost

MAY 1, 2024

While human intelligence relies on biological neural networks and operates at slower speeds, AI systems leverage digital processors for rapid data processing and seamless communication. Unlike humans, AI systems can easily update and scale, but they consume more energy.

Neural Network 113

Neural Network Artificial Intelligence Artificial Intelligence Explainability 113

Marktechpost

OCTOBER 23, 2024

These theories provide the framework for developing intelligent systems capable of learning, reasoning, and making decisions. From the statistical foundations of machine learning to the complex algorithms powering neural networks, mathematics plays a pivotal role in shaping the capabilities and limitations of AI.

Neural Network 116

Neural Network Algorithm Robotics Machine Learning 116

Viso.ai

OCTOBER 10, 2024

Pattern Recognition in Data Analysis What is Pattern Recognition? In supervised learning, images are annotated to train neural networks – Image Annotation with Viso Suite What Is the Goal of Pattern Recognition? How does Pattern Recognition Work? Pattern Recognition Projects and Use Cases About us: viso.ai

Neural Network 98

Neural Network Computer Vision Deep Learning Machine Learning 98

Marktechpost

DECEMBER 15, 2023

CNNs (Convolutional neural networks) have become a popular technique for image recognition in recent years. However, new challenges have emerged as these networks have grown more complex. They have been highly successful in object detection, classification, and segmentation tasks.

Data Analysis 113

Data Analysis Convolutional Neural Networks Neural Network AI 113

Pickl AI

AUGUST 3, 2023

Introduction to Deep Learning Algorithms: Deep learning algorithms are a subset of machine learning techniques that are designed to automatically learn and represent data in multiple layers of abstraction. This process is known as training, and it relies on large amounts of labeled data.

Deep Learning 52

Deep Learning Machine Learning Algorithm Neural Network 52

Pickl AI

FEBRUARY 7, 2025

Summary: Machine Learning and Deep Learning are AI subsets with distinct applications. ML works with structured data, while DL processes complex, unstructured data. Introduction In todays world of AI, both Machine Learning (ML) and Deep Learning (DL) are transforming industries, yet many confuse the two.

Deep Learning 52

Deep Learning Machine Learning Neural Network Convolutional Neural Networks 52

AssemblyAI

AUGUST 29, 2024

Deep Learning Speech Recognition Model: The audio signal is fed into a speech recognition deep learning model trained on a large corpus of audio-transcription pairs, which generates the transcription of the input audio. Deep Learning Speech Recognition Model This process maps the audio signal to a sequence of words.

Deep Learning 173

Deep Learning Neural Network Data Analysis Artificial Intelligence 173

Marktechpost

DECEMBER 24, 2023

In this critical realm, the transformative power of machine learning is reshaping the landscape. Specifically in plant pathology, its rapid data analysis revolutionizes disease management, offering efficient solutions for crop protection and heightened productivity.

Machine Learning 119

Machine Learning Convolutional Neural Networks Neural Network Deep Learning 119

Marktechpost

JULY 18, 2024

For instance, Euclidean geometry cannot adequately describe the curved spaces of general relativity or the complex, interconnected structures of neural networks. This approach involves generalizing classical statistical and deep learning methods to handle data that does not conform to traditional Euclidean assumptions.

Machine Learning 135

Machine Learning Computer Vision Neural Network Deep Learning 135

Marktechpost

APRIL 24, 2024

The increasing complexity of AI systems, particularly with the rise of opaque models like Deep Neural Networks (DNNs), has highlighted the need for transparency in decision-making processes. OmniXAI aims to simplify XAI for data scientists and practitioners across different ML process stages. Image Source 10.

Explainable AI 117

Explainable AI Explainability Neural Network Data Scientist 117

Marktechpost

JULY 3, 2023

We will give details of Artificial Intelligence approaches such as Machine Learning and Deep Learning. By the end of the article, you will understand how innovative Deep Learning technology leverages historical data and accurately forecasts outcomes of lengthy and expensive experimental testing or 3D simulation (CAE).

Deep Learning 125

Deep Learning Machine Learning Neural Network Artificial Intelligence 125

Mlearning.ai

MAY 8, 2023

A comprehensive step-by-step guide with data analysis, deep learning, and regularization techniques Introduction In this article, we will use different deep-learning TensorFlow neural networks to evaluate their performances in detecting whether cell nuclei mass from breast imaging is malignant or benign.

Neural Network 52

Neural Network Deep Learning Machine Learning Data Analysis 52

Marktechpost

AUGUST 9, 2024

This enhanced performance is attributed to the innovative design of the neural network and the meticulous optimization of the analytical processes, providing a reliable solution for data analysis.

Large Language Models 113

Large Language Models Data Analysis LLM Deep Learning 113

ODSC - Open Data Science

FEBRUARY 13, 2023

A few standout topics include model deployment and inferencing, MLOps, and multi-cloud machine learning. These videos are a part of the ODSC/Microsoft AI learning journe y which includes videos, blogs, webinars, and more. You won’t need any background in math, programming, or machine learning.

Neural Network 98

Neural Network Convolutional Neural Networks Machine Learning Deep Learning 98

Towards AI

DECEMBER 18, 2024

I have been in the Data field for over 8 years, and Machine Learning is what got me interested then, so I am writing about this! They chase the hype Neural Networks, Transformers, Deep Learning, and, who can forget AI and fall flat. Youll learn faster than any tutorial can teach you. The secret?

Machine Learning 98

Machine Learning Neural Network Deep Learning Explainability 98

Viso.ai

DECEMBER 19, 2023

Today, the use of convolutional neural networks (CNN) is the state-of-the-art method for image classification. Image Classification Using Machine Learning CNN Image Classification (Deep Learning) Example applications of Image Classification Let’s dive deep into it! How Does Image Classification Work?

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 98

Unite.AI

JULY 25, 2024

The 1990s saw significant improvements in statistical machine translation as models learned from vast amounts of bilingual data, leading to better translations. A significant breakthrough came with neural networks and deep learning. IBM's Model 1 and Model 2 laid the groundwork for advanced systems.

Neural Network 202

Neural Network AI AI Machine Learning 202

Unite.AI

FEBRUARY 23, 2024

Here, learners delve into the art of crafting prompts for large language models like ChatGPT, learning how to leverage their capabilities for a range of applications. The second course, “ChatGPT Advanced Data Analysis,” focuses on automating tasks using ChatGPT's code interpreter.

Prompt Engineering 272

Prompt Engineering Prompt Engineer Large Language Models ChatGPT 272

Pickl AI

SEPTEMBER 25, 2024

Summary: This blog delves into 20 Deep Learning applications that are revolutionising various industries in 2024. From healthcare to finance, retail to autonomous vehicles, Deep Learning is driving efficiency, personalization, and innovation across sectors.

Deep Learning 52

Deep Learning Algorithm Convolutional Neural Networks Neural Network 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. Whether you’re a beginner or an experienced practitioner, this guide will provide insights into the mechanics of artificial neural networks and their applications. Howard et al.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Data Scarcity 52