Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and Machine Learning algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. The most revolutionary technology that enables this is called machine learning. Which is also our topic today. And that was just one model.

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Analytics Vidhya

AUGUST 6, 2022

Image processing algorithms take a long time to process the data because of the large images and the amount of information available in it. The post Comprehensive Guide to Edge Detection Algorithms appeared first on Analytics Vidhya. Introduction Image processing is a widely used concept to exploit the information from the images.

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. The most revolutionary technology that enables this is called machine learning. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI.

Machine Learning 195

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. The most revolutionary technology that enables this is called machine learning. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI.

Machine Learning 195

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Smart Data Collective

FEBRUARY 23, 2023

Although there are plenty of tech jobs out there at the moment thanks to the tech talent gap and the Great Resignation, for people who want to secure competitive packages and accelerate their software development career with sought-after java jobs , a knowledge of deep learning or AI could help you to stand out from the rest.

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Analytics Vidhya

APRIL 23, 2022

Introduction In this section, we will build a face detection algorithm using Caffe model, but only OpenCV is not involved this time. Instead, along with the computer vision techniques, deep learning skills will also be required, i.e. We will use the deep learning […].

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Heartbeat

JUNE 23, 2023

However, with the advent of deep learning, researchers have explored various neural network architectures to model and forecast time series data. In this post, we will look at deep learning approaches for time series analysis and how they might be used in real-world applications. Let’s dive in!

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Analytics Vidhya

OCTOBER 26, 2022

Introduction In this article, we will learn how to make an object tracker using OpenCV in Python and using, and we will build an object tracker and make a counter system. The post Making Centroid Tracker and Counter System in Python appeared first on Analytics Vidhya.

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ODSC - Open Data Science

OCTOBER 17, 2023

But without a strong understanding of deep learning, you’ll have a difficult time getting the most out of the cutting-edge developments in the industry. At ODSC West this October 30th to November 2nd, you’ll build the core knowledge and skills you need with the sessions in the deep learning track , such as the ones listed below.

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Analytics Vidhya

JUNE 15, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon What are Genetic Algorithms? Genetic Algorithms are search algorithms inspired by. The post Genetic Algorithms and its use-cases in Machine Learning appeared first on Analytics Vidhya.

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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.

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Analytics Vidhya

FEBRUARY 22, 2023

The ultimate goal of these deep learning algorithms is to mimic the human eye’s capacity to perceive the surrounding environment. Introduction From the 2000s onward, Many convolutional neural networks have been emerging, trying to push the limits of their antecedents by applying state-of-the-art techniques.

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Dataconomy

JUNE 29, 2023

Python machine learning packages have emerged as the go-to choice for implementing and working with machine learning algorithms. These libraries, with their rich functionalities and comprehensive toolsets, have become the backbone of data science and machine learning practices.

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Analytics Vidhya

APRIL 14, 2019

There are so many things we can do using computer vision algorithms: Object detection Image segmentation Image. The post Build your First Multi-Label Image Classification Model in Python appeared first on Analytics Vidhya. Introduction Are you working with image data?

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Data Science Dojo

APRIL 27, 2023

This blog lists down-trending data science, analytics, and engineering GitHub repositories that can help you with learning data science to build your own portfolio.  What is GitHub? GitHub is a powerful platform for data scientists, data analysts, data engineers, Python and R developers, and more.

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Analytics Vidhya

JULY 23, 2020

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

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ODSC - Open Data Science

APRIL 20, 2023

Deep Learning Approaches to Sentiment Analysis (with spaCy!) In this post, we’ll be demonstrating two deep learning approaches to sentiment analysis, specifically using spaCy. Six Core Competencies Data Scientists Need to Succeed in Their Careers Data scientists need to know more than just algorithms to succeed.

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Analytics Vidhya

JANUARY 12, 2021

ArticleVideos Two different image search engines developed with Deep Learning algorithms Photo by Geran de Klerk on Unsplash Introduction Imagine that you want to. The post Querying Similar Images with TensorFlow appeared first on Analytics Vidhya.

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Analytics Vidhya

JUNE 15, 2021

The post Guide to Gradient Descent and Its Variants with Python Implementation appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, we’ll cover Gradient Descent along with its.

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Towards AI

DECEMBER 28, 2023

Black box algorithms such as xgboost emerged as the preferred solution for a majority of classification and regression problems. Later, Python gained momentum and surpassed all programming languages, including Java, in popularity around 2018–19. CS6910/CS7015: Deep Learning Mitesh M. Khapra Homepage www.cse.iitm.ac.in

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Analytics Vidhya

JULY 25, 2022

It uses Machine Learning-based Model Algorithms and Deep Learning-based Neural Networks for its implementation. […]. The post YOLO: An Ultimate Solution to Object Detection and Classification appeared first on Analytics Vidhya.

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Data Science Dojo

JUNE 1, 2023

Machine Learning for Absolute Beginners by Kirill Eremenko and Hadelin de Ponteves This is another beginner-level course that teaches you the basics of machine learning using Python. The course covers topics such as supervised learning, unsupervised learning, and reinforcement learning.

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Analytics Vidhya

NOVEMBER 1, 2021

Deep learning algorithms can have huge functional uses when provided with quality data to sort through. This article was published as a part of the Data Science Blogathon Introduction In this article, we will cover everything from gathering data to preparing the steps for model training and evaluation.

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Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon Introduction: Artificial Neural Networks (ANN) are algorithms based on brain function and are used to model complicated patterns and forecast issues. The […]. The post Introduction to Artificial Neural Networks appeared first on Analytics Vidhya.

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Analytics Vidhya

NOVEMBER 27, 2021

It is a significant step in the process of decision making, powered by Machine Learning or Deep Learning algorithms. This article was published as a part of the Data Science Blogathon. Statistics plays an important role in the domain of Data Science.

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ODSC - Open Data Science

APRIL 18, 2023

In particular, finance has seen some of the strongest benefits from automation and analysis thanks to AI and machine learning. Now, we’d like to go a bit deeper and specifically examine the role of machine learning in algorithmic trading, including portfolio optimization and pattern recognition.

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Analytics Vidhya

SEPTEMBER 7, 2021

This article was published as a part of the Data Science Blogathon Introduction The deep learning algorithms required the data in a specific order or shape. You will learn through this article […]. First, we have to arrange the data in batches, then we have to feed the batched data to the model in the epoch loop.

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Pickl AI

MAY 24, 2023

Introduction One of the most widely used and highly popular programming languages in the technological world is Python. Significantly, despite being user-friendly and easy to learn, one of Python’s many advantages is that it has large collection of libraries. What is a Python Library? What version of Python are you using?

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Analytics Vidhya

SEPTEMBER 15, 2020

Introduction In this article, we will be taking a deep dive into an interesting algorithm known as “Seam Carving”. The post Seam Carving Algorithm : A Seemingly Impossible Way of Resizing An Image appeared first on Analytics Vidhya. It does a seemingly impossible.

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Analytics Vidhya

OCTOBER 28, 2021

Deep learning algorithms can have huge functional uses when provided with quality data to sort through. This article was published as a part of the Data Science Blogathon Introduction In this article, we will cover everything from gathering data to preparing the steps for model training and evaluation.

Deep Learning 233

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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.

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Data Science Dojo

MAY 18, 2023

Vector Similarity Search: With this panel discussion learn how you can incorporate vector search into your own applications to harness deep learning insights at scale. 6. Take advantage of this opportunity to learn how to harness the power of deep learning for improved customer support at scale.

Data Science 195

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ODSC - Open Data Science

MAY 25, 2023

sktime — Python Toolbox for Machine Learning with Time Series Editor’s note: Franz Kiraly is a speaker for ODSC Europe this June. Be sure to check out his talk, “ sktime — Python Toolbox for Machine Learning with Time Series ,” there! Welcome to sktime, the open community and Python framework for all things time series.

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ODSC - Open Data Science

FEBRUARY 13, 2023

The field of data science changes constantly, and some frameworks, tools, and algorithms just can’t get the job done anymore. These videos are a part of the ODSC/Microsoft AI learning journe y which includes videos, blogs, webinars, and more. Modern Data Acquisition An algorithm is worse than useless without the right inputs.

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Towards AI

APRIL 7, 2024

Created by the author with DALL E-3 Statistics, regression model, algorithm validation, Random Forest, K Nearest Neighbors and Naïve Bayes— what in God’s name do all these complicated concepts have to do with you as a simple GIS analyst? You just want to create and analyze simple maps not to learn algebra all over again.

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Mlearning.ai

JANUARY 28, 2023

From Sale Marketing Business 7 Powerful Python ML For Data Science And Machine Learning need to be use. This post will outline seven powerful python ml libraries that can help you in data science and different python ml environment. A python ml library is a collection of functions and data that can use to solve problems.

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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. Feature Extraction: Select a pre-trained deep learning model for image feature extraction (e.g.,

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