Analytics Vidhya

JANUARY 21, 2024

It is fundamental in various applications, including web development, computer vision tasks, and machine learning models. In this article, we will explore different image-resizing techniques using OpenCV, a popular library for computer […] The post Image Resizing using OpenCV in Python appeared first on Analytics Vidhya.

Python 235

Python Machine Learning Machine Learning Analytics 235

Machine Learning Mastery

DECEMBER 29, 2023

Logistic regression is a simple but popular machine learning algorithm for binary classification that uses the logistic, or sigmoid, function at its core. It also comes implemented in the OpenCV library.

Machine Learning 252

Machine Learning Machine Learning Algorithm 252

Machine Learning Mastery

NOVEMBER 3, 2023

The OpenCV library comes with a module that implements the k-Nearest Neighbors algorithm for machine learning applications. In this tutorial, you are going to learn how to apply OpenCV’s k-Nearest Neighbors algorithm for the task of classifying handwritten digits.

K-nearest Neighbors 284

K-nearest Neighbors Machine Learning Machine Learning Algorithm 284

Machine Learning Mastery

NOVEMBER 21, 2023

The Support Vector Machine algorithm is one of the most popular supervised machine learning techniques, and it comes implemented in the OpenCV library. This tutorial will introduce the necessary skills to start using Support Vector Machines in OpenCV, using a custom dataset that we will generate.

Support Vector Machines 231

Support Vector Machines Machine Learning Machine Learning Algorithm 231

Machine Learning Mastery

OCTOBER 31, 2023

In a previous tutorial, we have explored the use of the k-means clustering algorithm as an unsupervised machine learning technique that seeks to group similar data into distinct clusters, to uncover patterns in the data.

Clustering 322

Clustering Machine Learning Machine Learning Algorithm 322

Machine Learning Mastery

OCTOBER 26, 2023

The k-means clustering algorithm is an unsupervised machine learning technique that seeks to group similar data into distinct clusters, with the aim of uncovering patterns in the data that may not be apparent to the naked eye.

Clustering 239

Clustering Machine Learning Machine Learning Algorithm 239

Analytics Vidhya

SEPTEMBER 19, 2021

This article was published as a part of the Data Science Blogathon Introduction OpenCV is the most popular library for the task of computer vision, it is a cross-platform open-source library for machine learning, image processing, etc. CVzone is a computer vision package, where it uses OpenCV and […].

Machine Learning 310

Machine Learning Machine Learning Data Science Analytics 310

Data Science Dojo

MAY 1, 2023

10 Python packages for data science and machine learning In this article, we will highlight some of the top Python packages for data science that aspiring and practicing data scientists should consider adding to their toolbox. Scikit-learn Scikit-learn is a powerful library for machine learning in Python.

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Python Machine Learning Machine Learning Data Science 329

Analytics Vidhya

AUGUST 26, 2022

Introduction As we all know, Computer Vision has gained huge popularity in Machine Learning and Artificial Intelligence. The post Working with Images and Videos using OpenCV appeared first on Analytics Vidhya.

Artificial Intelligence 299

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 299

Analytics Vidhya

JUNE 14, 2022

To build this cartoonifyer application we will use python and OpenCV. This is one of the exciting and thrilling applications of Machine Learning. The post Cartoonify Image Using OpenCV and Python appeared first on Analytics Vidhya. While building […].

Python 277

Python Machine Learning Machine Learning Data Science 277

Flipboard

DECEMBER 31, 2023

In a previous tutorial, we explored logistic regression as a simple but popular machine learning algorithm for binary classification implemented in the OpenCV library. So far, we have seen how logistic regression may be applied to a custom two-class dataset we have generated ourselves.

Machine Learning 143

Machine Learning Machine Learning Algorithm 143

Flipboard

NOVEMBER 28, 2023

In a previous tutorial, we have explored the use of the Support Vector Machine algorithm as one of the most popular supervised machine learning techniques that comes implemented in the OpenCV library.

Support Vector Machines 134

Support Vector Machines Machine Learning Machine Learning Algorithm 134

Analytics Vidhya

FEBRUARY 18, 2022

OpenCV is a massive open-source library for various fields like computer vision, machine learning, image processing and plays a critical function in real-time operations, which are fundamental in today’s systems. The post A Basic Introduction to OpenCV in Deep Learning appeared first on Analytics Vidhya.

Deep Learning 231

Deep Learning Deep Learning Machine Learning Machine Learning 231

Flipboard

NOVEMBER 30, 2023

The Naive Bayes algorithm is a simple but powerful technique for supervised machine learning. Its Gaussian variant is implemented in the OpenCV library. In this tutorial, you will learn how to apply OpenCV’s normal Bayes algorithm, first on a custom two-dimensional dataset and subsequently for segmenting an image.

Machine Learning 126

Machine Learning Machine Learning Algorithm 126

Analytics Vidhya

JULY 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Computer Vision is a real-world application of Machine Learning, that. The post Advanced OpenCV and NumPy Operations: Cropping, Copying, And Pasting appeared first on Analytics Vidhya.

Machine Learning 276

Machine Learning Machine Learning Data Science Analytics 276

Data Science Dojo

MAY 1, 2023

10 Python packages for data science and machine learning In this article, we will highlight some of the top Python packages for data science that aspiring and practicing data scientists should consider adding to their toolbox. Scikit-learn Scikit-learn is a powerful library for machine learning in Python.

Python 195

Python Machine Learning Machine Learning Data Science 195

Data Science Dojo

FEBRUARY 3, 2023

One project idea in this area could be to build a facial recognition system using Python and OpenCV. This project could use Python libraries such as NLTK or spaCy to preprocess the text data, and then train a machine learning model to make predictions.

Data Science 195

Data Science Python Machine Learning Machine Learning 195

Data Science Dojo

FEBRUARY 10, 2023

We will discuss the various computer vision techniques that can be implemented, including thresholding, edge detection, blob detection, optical flow, and machine learning. They are also a fun and engaging way to learn about computer vision, robotics, and artificial intelligence. This is where the fun begins!

Machine Learning 370

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Mlearning.ai

MARCH 10, 2023

It is a machine learning based approach where a cascade function is trained from a lot of positive and negative images. During training, the algorithm learns the features that distinguish the object from the background, such as edges, lines, and corners. Are Haar-Cascades still relevant in the Deep-Learning era?

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

Heartbeat

APRIL 11, 2023

The process of diagnosis is not easy and requires some medical laboratory tools and advanced medical skill, but we can use deep learning and computer vision to build a fast and easy tool that will help doctors be able to detect pneumonia. We will discover how to use OpenCV to identify pneumonia in chest X-ray images in this lesson.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Data Science Dojo

JANUARY 13, 2023

Detecting emotion from speech There has been a growing trend of communicating with machines using human speech. Understanding the intent and emotion behind human speech is a critical piece of context that can change the response from the machine significantly, and as such emotion recognition is an important task that you can work on.

Data Science 307

Data Science Natural Language Processing Azure Analytics 307

Mlearning.ai

FEBRUARY 29, 2024

Let’s go through the general libraries used for computer vision. Source [link] Bonus Base64 Sending your images across in the original format demands more space.

Python 52

Python Machine Learning Machine Learning Data Analysis 52

PyImageSearch

MAY 8, 2023

Home Table of Contents Introduction to Causality in Machine Learning Correlation and Causation Case Study 1: A “Marvelous” Problem Scenario 1: A Direct Cause Scenario 2: Reversing the Cause and Effect Scenario 3: Investigating a Hidden Cause Causal Thinking Case Study 2: Food App Conundrum Quiz Time! Let’s find out.

Machine Learning 111

Machine Learning Machine Learning Deep Learning Deep Learning 111

IBM Data Science in Practice

APRIL 9, 2024

Instead, we use pre-trained deep learning models like VGG or ResNet to extract feature vectors from the images. Image retrieval search architecture The architecture follows a typical machine learning workflow for image retrieval. Towhee is a framework that provides ETL for unstructured data using SoTA machine learning models.

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Deep Learning Deep Learning Database Data Preparation 130

PyImageSearch

FEBRUARY 20, 2023

Table of Contents Learning JAX in 2023: Part 1 — The Ultimate Guide to Accelerating Numerical Computation and Machine Learning ?? Jump Right To The Downloads Section Learning JAX in 2023: Part 1 — The Ultimate Guide to Accelerating Numerical Computation and Machine Learning ?? What Is JAX? autograd XLA ?

Machine Learning 114

Machine Learning Machine Learning Deep Learning Deep Learning 114

Mlearning.ai

JANUARY 27, 2023

Save this blog for comprehensive resources for computer vision Source: appen Working in computer vision and deep learning is fantastic because, after every few months, someone comes up with something crazy that completely changes your perspective on what is feasible. How to read an image in Python using OpenCV — 2023 2.

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Deep Learning Deep Learning Python Data Scientist 98

IBM Journey to AI blog

DECEMBER 15, 2023

The diversity and accessibility of open-source AI allow for a broad set of beneficial use cases, like real-time fraud protection, medical image analysis, personalized recommendations and customized learning. TensorFlow is a flexible, extensible learning framework that supports programming languages like Python and Javascript.

AI 74

AI AI Deep Learning Deep Learning 74

Mlearning.ai

JULY 11, 2023

Deep learning has transformed artificial intelligence, allowing machines to learn and make smart decisions. If you’re interested in exploring deep learning, this step-by-step guide will help you learn the basics and develop the necessary skills. Also, learn about common algorithms used in machine learning.

Deep Learning 40

Deep Learning Deep Learning Machine Learning Machine Learning 40

PyImageSearch

JANUARY 30, 2023

In emerging markets, AI has the potential to provide affordable post-secondary education, make learning exciting and fun, and make the content personalized to individual students’ needs. This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector.

Deep Learning 107

Deep Learning Deep Learning AI AI 107

PyImageSearch

DECEMBER 4, 2023

As Google Developer Experts in Machine Learning, we (Ritwik Raha and Aritra Roy) had the distinct honor of being invited by Google to this mesmerizing city. These vivid images were generated using Stable Diffusion, a state-of-the-art technique in Machine Learning, and it only took us four lines of code to create them!

ML 60

ML ML Machine Learning Machine Learning 60

Heartbeat

AUGUST 15, 2023

Advanced techniques have been devised to address these challenges, such as deep learning, convolutional neural networks (CNNs), and recurrent neural networks (RNNs). Python, a widely-used programming language for data science and machine learning, offers numerous libraries and frameworks to implement these techniques.

Python 52

Python Deep Learning Deep Learning Machine Learning 52

Heartbeat

FEBRUARY 15, 2024

In the ever-evolving realm of artificial intelligence, computer vision is a crucial discipline that enables machines to interpret and glean insights from visual data. This learning process enables the system to make accurate predictions. One such powerful approach that has proven its worth is the Histogram of Oriented Gradients (HOG).

Deep Learning 40

Deep Learning Deep Learning Support Vector Machines ML 40

Mlearning.ai

JUNE 4, 2023

Machine learning the use of algorithms and data to learn patterns and make predictions or decisions, such as deep learning, neural networks, or reinforcement learning. Nvidia CUDA libraries, as well as other key libraries like as openCV and Tensorflow, are developed in C. It’s Learning, learning, learning.

Deep Learning 52

Deep Learning Deep Learning Python Machine Learning 52

Data Science Dojo

JULY 27, 2023

By leveraging Python libraries like OpenCV and MoviePy, learners can implement functionalities such as trimming, merging, overlaying text or images, applying filters, and adding audio to videos. Tic-Tac-Toe: The Tic-Tac-Toe project is a classic game implementation suitable for beginners learning Python programming.

Python 195

Python Data Visualization Artificial Intelligence Artificial Intelligence 195

PyImageSearch

DECEMBER 11, 2023

Kicking Off with a Keynote The second day of the Google Machine Learning Community Summit began with an inspiring keynote session by Soonson Kwon, the ML Community Lead at Google. The emphasis was on its philosophy, “Deep Learning for Humans,” making advanced concepts accessible to a broader audience.

ML 60

ML ML Deep Learning Deep Learning 60

Mlearning.ai

SEPTEMBER 2, 2023

at main · balakreshnan/Samples2023 (github.com) WRITER at MLearning.ai / AI Video / AI art Copyright / ART learning Mlearning.ai Submission Suggestions Segment anything with ONNX Runtime using Azure Machine Learning was originally published in MLearning.ai

Azure 52

Azure Machine Learning Machine Learning ML 52

PyImageSearch

JANUARY 2, 2023

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52