Analytics Vidhya

NOVEMBER 21, 2020

The post Tutorial — How to visualize Feature Maps directly from CNN layers appeared first on Analytics Vidhya. Introduction Let’s put on the eyes of Neural Networks and see what the Convolution Neural Networks see. Photo by David Travis on Unsplash Pre-requisites:-.

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Analytics Vidhya

FEBRUARY 7, 2024

Introduction Scatter plots are a powerful tool in a data scientist’s arsenal, allowing us to visualize the relationship between two variables. This blog will explore the ins and outs of creating stunning scatter Plot Visualization in Python using matplotlib.

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Visualization Analytics Deep Learning Machine Learning 319

Analytics Vidhya

MARCH 15, 2023

However, ChatGPT is limited in processing visual information since it’s trained with a single language modality. Visual Foundation Models […] The post Power of Visual ChatGPT : Conversations with AI and Images! appeared first on Analytics Vidhya.

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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

FEBRUARY 12, 2024

Introduction In data analysis, creating visual representations is key to understanding and communicating insights effectively. This article will dive into ggplot’s features and why it’s such a valuable tool for visualizing data […] The post ggplot in Python: A Data Visualization Guide appeared first on Analytics Vidhya.

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Analytics Vidhya

AUGUST 29, 2021

The post Advanced Computer Vision- Introduction to Direct Visual Tracking! However, we already have a huge variety of different techniques and tools. This article will help you start your journey into the world of computer […]. appeared first on Analytics Vidhya.

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Analytics Vidhya

APRIL 19, 2024

Introduction Embark on a thrilling journey into the domain of Convolutional Neural Networks (CNNs) and Skorch, a revolutionary fusion of PyTorch’s deep learning prowess and the simplicity of scikit-learn.

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Analytics Vidhya

MAY 5, 2019

The post A Guide to Understanding Convolutional Neural Networks (CNNs) using Visualization appeared first on Analytics Vidhya. ” This question has sent many data scientists into a tizzy. It’s easy to explain how.

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David Menninger's Analyst Perspectives

SEPTEMBER 16, 2021

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization.

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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. […].

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Analytics Vidhya

MARCH 30, 2022

Introduction AI and machine vision, which were formerly considered futuristic technology, has now become mainstream, with a wide range of applications ranging from automated robot assembly to automatic vehicle guiding, analysis of remotely sensed images, and automated visual inspection. Computer vision and deep learning […].

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Analytics Vidhya

APRIL 15, 2024

Introduction Overfitting in ConvNets is a challenge in deep learning and neural networks, where a model learns too much from training data, leading to poor performance on new data. This phenomenon is especially prevalent in complex neural architectures, which can model intricate relationships.

Deep Learning 343

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Domino Data Lab

JULY 10, 2019

New tools are constantly being added to the deep learning ecosystem. For example, there have been multiple promising tools created recently that have Python APIs, are built on top of TensorFlow or PyTorch , and encapsulate deep learning best practices to allow data scientists to speed up research. model_definition_file./model_definition.yaml.

Deep Learning 110

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IBM Big Data Hub

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. Deep learning requires a tremendous amount of computing power.

Deep Learning 101

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Analytics Vidhya

JANUARY 6, 2023

Introduction The UNet architecture is a deep learning model specifically designed for image segmentation tasks. This article was published as a part of the Data Science Blogathon.

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Analytics Vidhya

APRIL 27, 2021

Introduction As data volume increases, deep learning techniques tend to. ArticleVideo Book This article was published as a part of the Data Science Blogathon. The post A Complete Guide to Tensorboard appeared first on Analytics Vidhya.

Deep Learning 292

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Smart Data Collective

OCTOBER 13, 2021

It can be used for something as visual as reducing traffic jams, to personalizing products and services, to improving the experience in multiplayer video games. This is something that you can learn more about in just about any technology blog. We would like to talk about data visualization and its role in the big data movement.

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Analytics Vidhya

MAY 25, 2023

Enter autoencoders, deep learning‘s hidden heroes. Autoencoders have transformed the field of machine learning by revealing hidden patterns, lowering dimensionality, identifying abnormalities, and even […] The post Unleashing the Power of Autoencoders: Applications and Use Cases appeared first on Analytics Vidhya.

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datapine

MAY 14, 2019

We gave you a curated list of our top 15 data analytics books , top 18 data visualization books , top 16 SQL books – and, as promised, we’re going to tell you all about the world’s best books on data science. 2) “Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville. click for book source**.

Data Science 350

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Analytics Vidhya

MARCH 7, 2024

Introduction Tableau is a powerful data visualization tool that is crucial in Data Science. Its significance lies in its ability to transform complex data into easily understandable visualizations, aiding in better decision-making processes.

Data Science 330

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Domino Data Lab

AUGUST 22, 2019

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. Introduction.

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KDnuggets

MARCH 23, 2022

Create, version-control, query, and visualize image, audio, and video datasets using Hub 2.0 by Activeloop.

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Deep Learning Management Visualization Machine Learning 112

Analytics Vidhya

JANUARY 24, 2024

Introduction Tableau is a powerful data visualization tool that allows users to analyze and present data interactively and meaningfully. It helps businesses make data-driven decisions by providing easy-to-understand insights and visualizations.

Visualization 344

Visualization Data-driven Interactive Analytics 344

DataRobot

DECEMBER 20, 2021

Image recognition is one of the most relevant areas of machine learning. Deep learning makes the process efficient. However, not everyone has deep learning skills or budget resources to spend on GPUs before demonstrating any value to the business. Who Can Benefit from the Visual Data? DataRobot Visual AI.

Visualization 97

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Analytics Vidhya

APRIL 16, 2024

This innovative AI merges visual understanding with advanced language skills, allowing it to handle visual and textual data effectively. Introduction The introduction of Grok-1.5V represents a major step forward in artificial intelligence, featuring a new multimodal AI system developed by Elon Musk and his team at x.AI.

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Visualization Modeling Analytics IT 303

Analytics Vidhya

AUGUST 10, 2023

Introduction In today’s evolving landscape, organizations are rapidly scaling their teams to harness the potential of AI, deep learning, and ML. What started as a modest concept, machine learning, has now become indispensable across industries, enabling businesses to tap into unprecedented opportunities.

Machine Learning 271

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Analytics Vidhya

MARCH 15, 2023

Introduction DocVQA (Document Visual Question Answering) is a research field in computer vision and natural language processing that focuses on developing algorithms to answer questions related to the content of a document, like a scanned document or an image of a text document.

Visualization 330

Visualization Analytics Deep Learning Machine Learning 330

Insight

MAY 16, 2019

It is a high-level, multifaceted field that allows machines to iteratively learn and understand complex representations from images and videos to automate human visual tasks. Pinterest developed a visual search engine which uses an object detection pipeline for content recommendation.

Deep Learning 84

Deep Learning Machine Learning Metadata Data Science 84

Analytics Vidhya

APRIL 24, 2024

Adobe Firefly Image 3 enables you to generate high-resolution, actual images or visual diagrams by giving its explanation in a text message. Introduction The world of AI-powered image generation is growing quickly, and Adobe Firefly Image 3 is at the forefront.

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Analytics Vidhya

APRIL 25, 2024

This blog post explores GhostFaceNets through captivating visuals and insightful illustrations, aiming to educate, motivate, and spark creativity. Introduction GhostFaceNets is a revolutionary facial recognition technology that uses affordable operations without compromising accuracy.

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Analytics Vidhya

FEBRUARY 27, 2024

Introduction Visual presentations are indispensable for effective communication. Importance of Visual Presentations Visual […] The post 7 Tools to Create Engaging Presentations appeared first on Analytics Vidhya.

Visualization 291

Visualization Analytics Deep Learning Machine Learning 291

Analytics Vidhya

FEBRUARY 24, 2023

Introduction An image is a two-dimensional representation of a visual subject, like a photograph, painting, or drawing. In digital imaging, images are stored as arrays of pixel values, where each pixel represents a sample of the image’s brightness and color.

Visualization 306

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KDnuggets

NOVEMBER 9, 2022

7 Tips To Produce Readable Data Science Code • 30 Resources for Mastering Data Visualization • 15 More Free Machine Learning and Deep Learning Books • Simple and Fast Data Streaming for Machine Learning Projects • The AI Education Gap and How to Close It.

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KDnuggets

OCTOBER 10, 2022

It includes SQL, web scraping, statistics, data wrangling and visualization, business intelligence, machine learning, deep learning, NLP, and super cheat sheets. The only cheat you need for a job interview and data professional life.

Data Science 160

Data Science Deep Learning Statistics Machine Learning 160

CIO Business Intelligence

FEBRUARY 6, 2025

Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. Imagine generating complex narratives from data visualizations or using conversational BI tools that respond to your queries in real time. Tableau, Qlik and Power BI can handle interactive dashboards and visualizations.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

Corinium

JUNE 6, 2019

A playbook for this is to run multiple experiments in parallel and create ‘MVPs’ (fail/learn fast), as well as incorporate feedback mechanisms to enable an improvement loop, and scaling the ones that show the fastest path to ROI. What advances do you see in Visual Analytics in the next five years?

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Analytics Vidhya

FEBRUARY 4, 2022

Overview Motivation to Learn R Covering the BASICS & MUST KNOW Concepts in R Introduction Since you are reading this article, I am assuming that right now you are in your journey of becoming a data scientist. There is a high possibility that you already are aware of some of the data visualization and analytics […].

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