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.

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Analytics Vidhya

JANUARY 27, 2022

To understand Convolutional Neural networks, we first need to know What is Deep Learning? Deep Learning is an emerging field of Machine learning; that is, it is a subset of Machine Learning where learning happens from past examples or experiences with the help of […].

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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?

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Analytics Vidhya

DECEMBER 16, 2020

Introduction Recent advancements in machine learning and deep neural networks permitted us. The post Misguiding Deep Neural Networks: Generalized Pixel Attack appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

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Analytics Vidhya

JANUARY 11, 2021

Introduction Convolutional Neural Networks come under the subdomain of Machine Learning. The post Image Classification Using Convolutional Neural Networks: A step by step guide appeared first on Analytics Vidhya. ArticleVideos This article was published as a part of the Data Science Blogathon.

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Analytics Vidhya

AUGUST 31, 2022

Introduction Deep learning is a branch of Machine learning where higher levels of features from the data can be extracted using an Artificial neural network inspired by the working of a neural system in the human body. A neural network is a combination […].

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Analytics Vidhya

JULY 19, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: We have witnessed many Data Science (both Machine Learning and. The post Artificial Neural Network simplified with 1-D ECG BioMedical Data! appeared first on Analytics Vidhya.

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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.

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Analytics Vidhya

JULY 23, 2020

Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most. The post Understanding and coding Neural Networks From Scratch in Python and R appeared first on Analytics Vidhya.

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Analytics Vidhya

SEPTEMBER 7, 2020

Introduction Overfitting or high variance in machine learning models occurs when the accuracy of your training dataset, the dataset used to “teach” the model, The post How to Treat Overfitting in Convolutional Neural Networks appeared first on Analytics Vidhya.

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Analytics Vidhya

OCTOBER 21, 2021

This article was published as a part of the Data Science Blogathon If you are a machine learning and AI enthusiast, you must have come across the word perceptron. Perceptron is taught in the first chapter of many deep learning courses. So what exactly it is? What is the inspiration behind it? How exactly it […].

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Analytics Vidhya

OCTOBER 12, 2023

Introduction Activation functions are the secret sauce behind the remarkable capabilities of neural networks. While this might sound like an intricate technicality, understanding activation functions is crucial for anyone diving into artificial neural networks.

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Analytics Vidhya

AUGUST 23, 2021

This article was published as a part of the Data Science Blogathon Building a simple Machine Learning model using Pytorch from scratch. Image by my great learning Introduction Gradient descent is an optimization algorithm that is used to train machine learning models and is now used in a neural network.

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Analytics Vidhya

APRIL 15, 2024

Introduction Mastering Graph Neural Networks is an important tool for processing and learning from graph-structured data. This creative method has transformed a number of fields, including drug development, recommendation systems, social network analysis, and more.

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Analytics Vidhya

APRIL 22, 2024

Introduction Deep learning is a fascinating field that explores the mysteries of gradients and their impact on neural networks. Solutions like ReLU activation and gradient clipping promise to revolutionize deep learning, unlocking secrets for training success.

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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.

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Analytics Vidhya

MAY 27, 2023

Introduction Classifying emotions in sentence text using neural networks involves attributing feelings to a piece of text. It can be achieved through techniques like neural networks or lexicon-based methods. Neural networks involve training a model on tagged text data to predict emotions in new text.

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Analytics Vidhya

JANUARY 30, 2022

Table of Contents What is Neural Network Types of Neural Networks Types of Learnings How does a Neural Network work Endnotes What are Neural Networks? Neural networks are used to mimic the basic functioning of the human brain and are inspired by how the […].

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Analytics Vidhya

MARCH 10, 2022

Apple’s Siri and Google’s voice search both use Recurrent Neural Networks (RNNs), which are the state-of-the-art method for sequential data. It’s the first algorithm with an internal memory that remembers its input, making it perfect for problems involving sequential data in machine learning.

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AssemblyAI

MARCH 21, 2023

While AI systems like ChatGPT or Diffusion models for Generative AI have been in the limelight in the past months, Graph Neural Networks (GNN) have been rapidly advancing. What are the actual advantages of Graph Machine Learning? And why do Graph Neural Networks matter in 2023?

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Analytics Vidhya

FEBRUARY 22, 2022

Introduction Every supervised machine learning technique basically solves either classification or regression problems. The post Approaching Regression with Neural Networks Using Tensorflow appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

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Analytics Vidhya

APRIL 8, 2023

If the order is […] The post Food Delivery Time Prediction with LSTM Neural Network appeared first on Analytics Vidhya. Other examples are Uber Eats, Food Panda, and Deliveroo, which also have similar services. They provide food delivery options.

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Analytics Vidhya

OCTOBER 27, 2021

What is an artificial neural network? The post Customer Churn Prediction Using Artificial Neural Network appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon Overview This is the overview of the below article. Introduction 2. What is customer churn? Import libraries 6.

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Analytics Vidhya

MAY 25, 2021

The post Bitcoin Price Prediction Using Recurrent Neural Networks and LSTM appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Index Introduction Understanding Bitcoin Technologies used Getting real-time cryptocurrency data (bitcoin).

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Analytics Vidhya

OCTOBER 30, 2021

This article was published as a part of the Data Science Blogathon Introduction Ensemble modeling is the process by which a machine learning model combines distinct base models to generate generalized predictions using a combination of the predictive power of each of its components.

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Analytics Vidhya

JULY 3, 2023

Introduction ONNX, also known as Open Neural Network Exchange, has become widely recognized as a standardized format that facilitates the representation of deep learning models. One of the key advantages of […] The post ONNX Model | Open Neural Network Exchange appeared first on Analytics Vidhya.

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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.

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Analytics Vidhya

JANUARY 29, 2024

But, here’s the problem: this encyclopedia is huge and requires significant time and effort […] The post Optimizing Neural Networks: Unveiling the Power of Quantization Techniques appeared first on Analytics Vidhya. Now, this friend has a precise way of doing things, like he has a dictionary in his head.

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Analytics Vidhya

NOVEMBER 11, 2024

Flax is an advanced neural network library built on top of JAX, aimed at giving researchers and developers a flexible, high-performance toolset for building complex machine learning models. This blog […] The post A Guide to Flax: Building Efficient Neural Networks with JAX appeared first on Analytics Vidhya.

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Analytics Vidhya

NOVEMBER 30, 2020

The post Popular Classification Models for Machine Learning appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Introduction We, as human beings, make multiple decisions throughout the day.

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Analytics Vidhya

DECEMBER 12, 2022

Introduction In machine learning and deep learning, the amount of data fed to the algorithm is one of the most critical factors affecting the model’s performance. However, in every machine learning or deep learning problem, it is impossible to have enough data to […].

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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.

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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.

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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?

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Analytics Vidhya

JANUARY 12, 2022

Source: Reference 1 Introduction Tensorflow is a popular open-source machine learning framework developed by Google. It is primarily used by machine learning practitioners in research and industry for the training and inference of deep neural networks.

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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.

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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.

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