Analytics Vidhya

JANUARY 29, 2024

Introduction Machine learning has revolutionized the field of data analysis and predictive modelling. With the help of machine learning libraries, developers and data scientists can easily implement complex algorithms and models without writing extensive code from scratch.

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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

JANUARY 27, 2022

Introduction Over the past several years, groundbreaking developments in machine learning and artificial intelligence have reshaped the world around us. There are various deep learning algorithms that bring Machine Learning to a new level, allowing robots to learn to discriminate tasks utilizing the human […].

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Analytics Vidhya

APRIL 28, 2023

Machine learning algorithms or deep learning techniques have proven valuable in survival prediction rates, offering insights that can help guide treatment plans and prioritize resources.

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Analytics Vidhya

MAY 14, 2023

As data scientists and experienced technologists, professionals often seek clarification when tackling machine learning problems and striving to overcome data discrepancies. It is crucial for them to learn the correct strategy to identify or develop models for solving equations involving distinct variables.

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Analytics Vidhya

NOVEMBER 13, 2019

Overview Apple’s Core ML 3 is a perfect segway for developers and programmers to get into the AI ecosystem You can build machine learning. The post Introduction to Apple’s Core ML 3 – Build Deep Learning Models for the iPhone (with code) appeared first on Analytics Vidhya.

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Analytics Vidhya

MARCH 1, 2023

Introduction Machine learning is one of the trending topics in the current industry and business scenarios, where almost all companies and businesses want to integrate machine learning applications into their working mechanisms and work environments. appeared first on Analytics Vidhya.

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insideBIGDATA

MAY 29, 2023

However, with a deep learning algorithm created by Stephen Baek, Phong Nguyen and their research team, the process takes less than a second on a laptop.

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Analytics Vidhya

JULY 25, 2022

Introduction The gradient descent algorithm is an optimization algorithm mostly used in machine learning and deep learning. In linear regression, it finds weight and biases, and deep learning backward propagation uses the […].

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KDnuggets

MAY 18, 2022

5 Free Hosting Platform For Machine Learning Applications; Data Mesh Architecture: Reimagining Data Management; Popular Machine Learning Algorithms; Reinforcement Learning for Newbies ; Deep Learning For Compliance Checks: What's New?

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KDnuggets

FEBRUARY 21, 2022

A collection of cheat sheets that will help you prepare for a technical interview on Data Structures & Algorithms, Machine learning, Deep Learning, Natural Language Processing, Data Engineering, Web Frameworks.

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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.

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Analytics Vidhya

JANUARY 24, 2024

Introduction Welcome to the practical side of machine learning, where the concept of vector norms quietly guides algorithms and shapes predictions. Whether you’re new or familiar with the terrain, grasping […] The post Vector Norms in Machine Learning: Decoding L1 and L2 Norms appeared first on Analytics Vidhya.

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Analytics Vidhya

FEBRUARY 25, 2023

Introduction In recent years, the evolution of technology has increased tremendously, and nowadays, deep learning is widely used in many domains. This has achieved great success in many fields, like computer vision tasks and natural language processing.

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Analytics Vidhya

MARCH 13, 2023

Introduction Large Language Models (LLMs) are foundational machine learning models that use deep learning algorithms to process and understand natural language. These models are trained on massive amounts of text data to learn patterns and entity relationships in the language.

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KDnuggets

FEBRUARY 21, 2022

Also: Free MIT Courses on Calculus: The Key to Understanding Deep Learning; How to Learn Math for Machine Learning; Is Data Science a Dying Career?; Top Programming Languages and Their Uses.

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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. And that was just one model.

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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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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. So, when you say AI, it automatically includes machine learning as well.

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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. So, when you say AI, it automatically includes machine learning as well.

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KDnuggets

DECEMBER 28, 2022

Classify images at scale and with very high accuracy with the advent of machine learning and deep learning algorithms.

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Data Science Dojo

OCTOBER 31, 2024

Research Data Scientist Description : Research Data Scientists are responsible for creating and testing experimental models and algorithms. Key Skills: Mastery in machine learning frameworks like PyTorch or TensorFlow is essential, along with a solid foundation in unsupervised learning methods.

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Analytics Vidhya

DECEMBER 16, 2019

Introduction NeurIPS is THE premier machine learning conference in the world. The post Decoding the Best Machine Learning Papers from NeurIPS 2019 appeared first on Analytics Vidhya. No other research conference attracts a crowd of 6000+ people in one place.

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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 courses are not just a buzzword anymore; they are reshaping the careers of many people who want their breakthrough in tech. From revolutionizing healthcare and finance to propelling us towards autonomous systems and intelligent robots, the transformative impact of machine learning knows no bounds.

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Data Science Dojo

NOVEMBER 10, 2023

This is done by training machine learning models on large datasets of existing content, which the model then uses to generate new and original content. Want to build a custom large language model ? PyTorch: PyTorch is another popular open-source machine learning library that is well-suited for generative AI.

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KDnuggets

NOVEMBER 7, 2022

How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • 15 Free Machine Learning and Deep Learning Books • Decision Tree Algorithm, Explained • Should I Learn Julia? • 7 Techniques to Handle Imbalanced Data.

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Dataconomy

MAY 4, 2023

Machine learning applications in healthcare are rapidly advancing, transforming the way medical professionals diagnose, treat, and prevent diseases. In this rapidly evolving field, machine learning is poised to drive significant advancements in healthcare, improving patient outcomes and enhancing the overall healthcare experience.

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Dataconomy

MARCH 11, 2025

The concept of a target function is an essential building block in the realm of machine learning, influencing how algorithms interpret data and make predictions. A target function describes the relationship between input data and the desired output in machine learning models. What is a target function?

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Analytics Vidhya

SEPTEMBER 29, 2023

Introduction In deep learning, optimization algorithms are crucial components that help neural networks learn efficiently and converge to optimal solutions.

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Analytics Vidhya

MARCH 1, 2024

Introduction The Hamming Distance Algorithm is a fundamental tool for measuring the dissimilarity between two pieces of data, typically strings or integers. This […] The post All About Hamming Distance Algorithm appeared first on Analytics Vidhya. It calculates the number of positions at which the corresponding elements differ.

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The MLOps Blog

MARCH 13, 2025

Abstracting away the specifics of his case, this is one example of an application in which an AI algorithm’s performance looked good on paper during its development but led to bad decisions once deployed. The results table from the ResNet paper is a typical example of how results are presented in machine learning publications.

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Analytics Vidhya

JULY 24, 2022

Introduction One of the areas of machine learning research that focuses on knowledge retention and application to unrelated but crucial problems is known as “transfer learning.” ” In other words, rather than being a particular form of machine learning algorithm, transfer learning is a […].

Data Science 381

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Machine Learning Mastery

FEBRUARY 21, 2023

Training a neural network or large deep learning model is a difficult optimization task. The classical algorithm to train neural networks is called stochastic gradient descent. In this post, […] The post Using Learning Rate Schedule in PyTorch Training appeared first on MachineLearningMastery.com.

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Analytics Vidhya

DECEMBER 20, 2023

Introduction Data augmentation encompasses various techniques to expand and enhance datasets for machine learning and deep learning models. These methods span different categories, each altering data to introduce diversity and improve model robustness.

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How to Learn Machine Learning

DECEMBER 24, 2024

If you’re diving into the world of machine learning, AWS Machine Learning provides a robust and accessible platform to turn your data science dreams into reality. Introduction Machine learning can seem overwhelming at first – from choosing the right algorithms to setting up infrastructure.

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insideBIGDATA

SEPTEMBER 20, 2024

From simple machine learning algorithms that sort emails to complex neural networks that predict market trends, AI has become an integral part of modern life. This insideAI News “Power to the Data” podcast discusses how AI has been transforming industries and redefining the boundaries of technology for decades.

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