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Artificial Intelligence Machine Learning Neural Network 
Analytics Vidhya
DECEMBER 2, 2021
This article was published as a part of the Data Science Blogathon The math behind Neural Networks Neural networks form the core of deep learning, a subset of machine learning that I introduced in my previous article. The post How do Neural Networks really work? data is passed […].
382 
Unite.AI
MAY 31, 2023
A neural network (NN) is a machine learning algorithm that imitates the human brain's structure and operational capabilities to recognize patterns from training data. Despite being a powerful AI tool, neural networks have certain limitations, such as: They require a substantial amount of labeled training data.
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4 HR Predictions for 2025: Supercharge Your Employee Experience with Internal Communications
Analytics Vidhya
MARCH 1, 2021
ArticleVideo Book Introduction If there is one area in data science that has led to the growth of Machine Learning and Artificial Intelligence in. The post Deep Learning 101: Beginners Guide to Neural Network appeared first on Analytics Vidhya.
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Analytics Vidhya
JANUARY 25, 2024
Introduction Neural networks have revolutionized artificial intelligence and machine learning. These powerful algorithms can solve complex problems by mimicking the human brain’s ability to learn and make decisions.
242 
Analytics Vidhya
JANUARY 23, 2023
Introduction The sigmoid function is a fundamental component of artificial neural networks and is crucial in many machine-learning applications. The sigmoid function is a mathematical function that maps […] The post Why is Sigmoid Function Important in Artificial Neural Networks?
305 
Analytics Vidhya
APRIL 9, 2024
Introduction Decoding Neural Networks: Inspired by the intricate workings of the human brain, neural networks have emerged as a revolutionary force in the rapidly evolving domains of artificial intelligence and machine learning.
216 
Analytics Vidhya
JULY 22, 2024
Introduction In this article, we dive into the top 10 publications that have transformed artificial intelligence and machine learning. We’ll take you through a thorough examination of recent advancements in neural networks and algorithms, shedding light on the key ideas behind modern AI.
271 
Analytics Vidhya
FEBRUARY 25, 2023
Though we have traditional machine learning algorithms, deep learning plays an important role in many tasks better than […] The post Introduction to Neural Network: Build your own Network appeared first on Analytics Vidhya.
288 
IBM Journey to AI blog
JULY 6, 2023
To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other? Machine learning is a subset of AI.
178 
Analytics Vidhya
SEPTEMBER 5, 2021
This article was published as a part of the Data Science Blogathon Introduction Deep learning is a subset of Machine Learning and Artificial Intelligence that imitates the way humans gain certain types of knowledge. It is essentially a neural network with three or more layers.
387 
Analytics Vidhya
JULY 16, 2024
Introduction Assume you are engaged in a challenging project, like simulating real-world phenomena or developing an advanced neural network to forecast weather patterns. Tensors are complex mathematical entities that operate behind the scenes and power these sophisticated computations.
277 
Unite.AI
OCTOBER 2, 2024
Machine learning can analyze these datasets yet preparing them for analysis can be time-consuming and cumbersome. This article examines how Microsoft’s TorchGeo facilitates the processing of geospatial data, enhancing accessibility for machine learning experts.
276 
AI News
OCTOBER 15, 2024
Machine learning (ML) is revolutionising the way businesses operate, driving innovation, and unlocking new possibilities across industries. Machine learning is a subset of artificial intelligence used to develop algorithms and statistical models to enable computers to perform specific tasks without the need for instructions.
257 
Unite.AI
FEBRUARY 7, 2024
Machine learning (ML) is a powerful technology that can solve complex problems and deliver customer value. This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses.
291 
IBM Journey to AI blog
JANUARY 10, 2024
Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. For example, learning, reasoning, problem-solving, perception, language understanding and more.
IBM Journey to AI blog
DECEMBER 20, 2023
Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?
230 
Unite.AI
MAY 8, 2024
The ability to effectively represent and reason about these intricate relational structures is crucial for enabling advancements in fields like network science, cheminformatics, and recommender systems. Graph Neural Networks (GNNs) have emerged as a powerful deep learning framework for graph machine learning tasks.
179 
Analytics Vidhya
JANUARY 23, 2023
But what if there […] The post Artificial Intelligence in Sports: Generating Match Highlights With AI appeared first on Analytics Vidhya. Despite his high transfer fee tagged to his name, Lukaku’s inability to convert easy chances led to Belgium’s early exit.
Unite.AI
NOVEMBER 6, 2023
With these advancements, it’s natural to wonder: Are we approaching the end of traditional machine learning (ML)? In this article, we’ll look at the state of the traditional machine learning landscape concerning modern generative AI innovations. What is Traditional Machine Learning? What are its Limitations?
203 
OCTOBER 8, 2023
Artificial intelligence startup Anthropic PBC says it has come up with a way to get a better understanding of the behavior of the neural networks that power its AI algorithms.The research could ha
179 
Marktechpost
MARCH 28, 2024
Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models (LLMs) marking a major milestone in its growth. It also provides information on the different deep learning techniques used in various industrial applications.
Analytics Vidhya
JULY 25, 2022
Introduction Computer Vision Is one of the leading fields of Artificial Intelligence that enables computers and systems to extract useful information from digital photos, movies, and other visual inputs. It uses Machine Learning-based Model Algorithms and Deep Learning-based Neural Networks for its implementation. […].
271 
Analytics Vidhya
MAY 31, 2023
Leonardo da Vinci’s masterpiece, the Mona Lisa, has been given a new lease of life thanks to artificial intelligence (AI). International researchers have used state-of-the-art neural networks and machine learning to create a holographic projection of the iconic painting.
265 
IBM Journey to AI blog
MAY 10, 2024
Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. FPGA programming and reprogramming can potentially delay deployments.
310 
Analytics Vidhya
APRIL 9, 2023
Geoffrey Hinton: Godfather of AI Geoffrey Hinton, often considered the “godfather of artificial intelligence,” has been pioneering machine learning since before it became a buzzword. Hinton has made significant contributions to the development of artificial neural networks and machine learning algorithms.
250 
IBM Journey to AI blog
OCTOBER 12, 2023
Early iterations of the AI applications we interact with most today were built on traditional machine learning models. These models rely on learning algorithms that are developed and maintained by data scientists. IBM watsonx.ai Explore watsonx.ai
Marktechpost
DECEMBER 10, 2024
Artificial Neural Networks (ANNs) have become one of the most transformative technologies in the field of artificial intelligence (AI). Modeled after the human brain, ANNs enable machines to learn from data, recognize patterns, and make decisions with remarkable accuracy. Computational units (nodes).
109 
Unite.AI
AUGUST 19, 2024
Neural networks have been at the forefront of AI advancements, enabling everything from natural language processing and computer vision to strategic gameplay, healthcare, coding, art and even self-driving cars. However, as these models expand in size and complexity, their limitations are becoming significant drawbacks.
146 
Analytics Vidhya
APRIL 24, 2023
Introduction We live in a world where social media platforms shape our interests, tailor our news feeds, and provide customized content, all thanks to machine learning! With machine learning (ML), a branch of artificial intelligence (AI), software programs can predict outcomes more accurately without being explicitly instructed.
188 
OCTOBER 25, 2023
Scientists have demonstrated that an AI system called a neural network can be trained to show "systematic compositionality," a key part of human …
181 
IBM Journey to AI blog
DECEMBER 19, 2023
In this blog we’ll go over how machine learning techniques, powered by artificial intelligence, are leveraged to detect anomalous behavior through three different anomaly detection methods: supervised anomaly detection, unsupervised anomaly detection and semi-supervised anomaly detection.
207 
Analytics Vidhya
JUNE 5, 2023
Introduction In the realm of artificial intelligence, a transformative force has emerged, capturing the imaginations of researchers, developers, and enthusiasts alike: large language models.
Unite.AI
JUNE 25, 2023
Artificial Intelligence has undeniably left an indelible mark on our lives. Hybrid Approach for Physics-Aware AI Traditionally, computer vision, the field that enables AI to comprehend and infer properties of the physical world from images, has largely focused on data-based machine learning.
361 
Unite.AI
JANUARY 26, 2024
This entirely AI-powered newsletter leverages a deep neural network to highlight major breakthroughs in AI and its allied fields. Unite.AI: Exponential Insights aims to showcase these technological expansions, offering insights from global publications and interviews with leading experts in machine learning.
263 
Marktechpost
JUNE 18, 2024
Machine learning has seen significant advancements in integrating Bayesian approaches and active learning methods. Image Source Bayesian neural networks aim to quantify uncertainty by learning a posterior distribution over model parameters.
131 
Marktechpost
SEPTEMBER 17, 2024
In deep learning, neural network optimization has long been a crucial area of focus. Training large models like transformers and convolutional networks requires significant computational resources and time. One of the central challenges in this field is the extended time needed to train complex neural networks.
113 
Unite.AI
JUNE 15, 2024
Graduate student Diego Aldarondo collaborated with DeepMind researchers to train an artificial neural network (ANN) , which serves as the virtual brain, using the powerful machine learning technique deep reinforcement learning.
327 
Unite.AI
OCTOBER 17, 2024
Healthcare in the United States is in the early stages of a significant potential disruption due to the use of Machine Learning and Artificial Intelligence. Artificial intelligence brings a newer approach to prediction. Several types of networks exist.
262 
AI News
JULY 22, 2024
By leveraging data analytics, machine learning, and real-time processing, AI is turning the traditional approach to sports betting on its head. Machine learning models, such as regression analysis, neural networks, and decision trees, are employed to analyse historical data and predict future outcomes.
312 
Analytics Vidhya
MAY 29, 2024
Introduction Neural networks are systems designed to mimic the human brain. Many artificial intelligence applications rely on neural networks. They consist of interconnected neurons or nodes. These nodes work together to interpret data and find patterns.
225 
Marktechpost
MAY 30, 2024
This article lists the top AI courses by Google that provide comprehensive training on various AI and machine learning technologies, equipping learners with the skills needed to excel in the rapidly evolving field of AI. Participants learn how to improve model accuracy and write scalable, specialized ML models.
IBM Journey to AI blog
JULY 6, 2023
While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.
175 
Marktechpost
JULY 7, 2024
An Artificial Intelligence (AI) search engine improves user experience by comprehending user queries at a deeper level than just matching keywords. It was introduced in February 2023 and uses deep neural networks to validate responses from various sources.
Marktechpost
OCTOBER 8, 2024
The 2024 Nobel Prize in Physics has been awarded to two pioneering figures in the field of artificial intelligence: John J. John Hopfield’s Contribution John Hopfield’s early contributions focused on creating an artificial neural network that could function as an associative memory, storing and reconstructing patterns.
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