Analytics Vidhya

DECEMBER 30, 2022

Introduction Natural language processing (NLP) is a field of computer science and artificial intelligence that focuses on the interaction between computers and human (natural) languages. Natural language processing (NLP) is […].

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Dataconomy

APRIL 28, 2025

The Adaptive Gradient Algorithm (AdaGrad) represents a significant stride in optimization techniques, particularly in the realms of machine learning and deep learning. By dynamically adjusting the learning rates for different parameters during model training, AdaGrad helps tackle challenges of convergence and efficiency.

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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.

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Pickl AI

JANUARY 29, 2025

Summary: This article presents 10 engaging Deep Learning projects for beginners, covering areas like image classification, emotion recognition, and audio processing. Each project is designed to provide practical experience and enhance understanding of key concepts in Deep Learning. What is Deep Learning?

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Analytics Vidhya

JANUARY 17, 2022

Introduction A few days ago, I came across a question on “Quora” that boiled down to: “How can I learn Natural Language Processing in just only four months?” This article was published as a part of the Data Science Blogathon. ” Then I began to write a brief response.

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Data Science Dojo

NOVEMBER 10, 2023

Transformers are a type of neural network architecture that is particularly well-suited for natural language processing tasks, such as text generation and translation. Jax: Jax is a high-performance numerical computation library for Python with a focus on machine learning and deep learning research.

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Data Science Dojo

JULY 2, 2023

Over the past few years, a shift has shifted from Natural Language Processing (NLP) to the emergence of Large Language Models (LLMs). Transformers, a type of Deep Learning model, have played a crucial role in the rise of LLMs.

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Pickl AI

APRIL 6, 2025

Summary: Deep Learning vs Neural Network is a common comparison in the field of artificial intelligence, as the two terms are often used interchangeably. Introduction Deep Learning and Neural Networks are like a sports team and its star player. Deep Learning Complexity : Involves multiple layers for advanced AI tasks.

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Dataconomy

MARCH 6, 2025

Algorithms play a crucial role in our everyday lives, often operating behind the scenes to enhance our experiences in the digital world. From the way search engines deliver results to how personal assistants predict our needs, algorithms are the foundational elements that shape modern technology. What is an algorithm?

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Dataconomy

MARCH 19, 2025

By harnessing machine learning, natural language processing, and deep learning, Google AI enhances various products and services, making them smarter and more user-friendly. Deep learning: Implementing neural networks to analyze large sets of data for complex problem-solving.

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Data Science Dojo

FEBRUARY 13, 2025

If you are still confused, here’s a list of key highlights to convince you further: Cutting-Edge Data Analytics Learn how organizations leverage big data for predictive modeling, decision intelligence, and automation. Future AI conferences will place a stronger emphasis on AI safety, fairness, transparency, and regulation.

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Analytics Vidhya

FEBRUARY 4, 2023

One of the most promising areas within AI in healthcare is Natural Language Processing (NLP), which has the potential to revolutionize patient care by facilitating more efficient and accurate data analysis and communication.

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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. Which is also our topic today.

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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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Data Science Dojo

MAY 27, 2024

A visual representation of generative AI – Source: Analytics Vidhya Generative AI is a growing area in machine learning, involving algorithms that create new content on their own. These algorithms use existing data like text, images, and audio to generate content that looks like it comes from the real world.

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Dataconomy

MARCH 25, 2025

As businesses increasingly rely on data for decision-making, understanding how to effectively leverage tabular data becomes crucial, particularly in the context of advanced techniques like deep learning and traditional machine learning methods. What is tabular data?

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Data Science Dojo

JUNE 1, 2023

Machine Learning with Python by Andrew Ng This is an intermediate-level course that teaches you more advanced machine-learning concepts using Python. The course covers topics such as deep learning and reinforcement learning. Gain expertise in data analysis, deep learning, neural networks, and more.

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Data Science Dojo

OCTOBER 31, 2024

For instance, Berkeley’s Division of Data Science and Information points out that entry level data science jobs remote in healthcare involves skills in NLP (Natural Language Processing) for patient and genomic data analysis, whereas remote data science jobs in finance leans more on skills in risk modeling and quantitative analysis.

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Dataconomy

MARCH 17, 2025

PyTorch has emerged as one of the most prominent frameworks in the realm of machine learning and deep learning, captivating both researchers and developers alike. PyTorch is an open-source machine learning framework widely used for deep learning applications. What is PyTorch?

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Data Science Dojo

SEPTEMBER 8, 2023

We’ll dive into the core concepts of AI, with a special focus on Machine Learning and Deep Learning, highlighting their essential distinctions. However, with the introduction of Deep Learning in 2018, predictive analytics in engineering underwent a transformative revolution.

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Dataconomy

APRIL 25, 2023

The advantage of using rule-based systems is that they can provide a transparent and interpretable framework for decision-making, and they can be easier to maintain and update compared to other AI models that use more complex algorithms. Other approaches include machine learning, deep learning, and natural language processing.

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Towards AI

NOVEMBER 19, 2023

Photo by Pietro Jeng on Unsplash Deep learning is a type of machine learning that utilizes layered neural networks to help computers learn from large amounts of data in an automated way, much like humans do. We will explain intuitively what each one means and how it contributes to the deep learning process.

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Towards AI

FEBRUARY 3, 2025

DeepSeek AI is an advanced AI genomics platform that allows experts to solve complex problems using cutting-edge deep learning, neural networks, and natural language processing (NLP). DeepSeek AI can learn and improve over time, as opposed to being governed by static, pre-defined principles. Lets begin!

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PyImageSearch

JANUARY 30, 2023

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. As soon as the system adapts to human wants, it automates the learning process accordingly.

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Data Science Dojo

JUNE 10, 2024

Here are some key ways data scientists are leveraging AI tools and technologies: 6 Ways Data Scientists are Leveraging Large Language Models with Examples Advanced Machine Learning Algorithms: Data scientists are utilizing more advanced machine learning algorithms to derive valuable insights from complex and large datasets.

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Dataconomy

MARCH 21, 2025

Key components include machine learning, which allows systems to learn from data, and natural language processing, enabling machines to understand and respond to human language. Reasoning: It selects the appropriate algorithms to derive desired outcomes.

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Data Science Dojo

MAY 24, 2024

They work at the intersection of various technical domains, requiring a blend of skills to handle data processing, algorithm development, system design, and implementation. This interdisciplinary nature of AI engineering makes it a critical field for businesses looking to leverage AI to enhance their operations and competitive edge.

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Flipboard

JUNE 13, 2025

Yet, navigating the world of AI can feel overwhelming, with its complex algorithms, vast datasets, and ever-evolving tools. Essential AI Skills Guide TL;DR Key Takeaways : Proficiency in programming languages like Python, R, and Java is essential for AI development, allowing efficient coding and implementation of algorithms.

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Pickl AI

JUNE 2, 2025

Summary: Gradient-based learning optimizes machine learning models by iteratively minimizing errors using gradients of loss functions. Central to deep learning, it relies on gradient descent and learning rate tuning to train models efficiently across various applications, despite challenges like local minima and computational costs.

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Data Science Dojo

NOVEMBER 3, 2023

This blog lists several YouTube channels that can help you get started with llms, generative AI, prompt engineering, and more. Large language models, like GPT-3.5, have revolutionized the field of natural language processing.

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Data Science Dojo

NOVEMBER 3, 2023

Large language models, like GPT-3.5, have revolutionized the field of natural language processing. Learning about them has become increasingly important in today’s rapidly evolving technological landscape.

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Data Science Dojo

MARCH 31, 2023

Raja emphasizes the importance of the latest advancements in deep learning, specifically transformers, in NLP tasks. This includes using natural language processing to understand and respond to user queries more effectively. It is also being used to develop new drugs and treatments.

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Dataconomy

APRIL 21, 2025

This innovative technique within Natural Language Processing (NLP) automates the identification and categorization of entities, enabling organizations to derive meaningful insights from vast datasets. How NER works The process involves specific techniques and components to achieve entity recognition.

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How to Learn Machine Learning

MAY 7, 2025

In the world of AI, you might hear a lot of Machine Learning vs Deep Learning. Introduction to Deep Learning vs Machine Learning To a lot of people, the terms Deep Learning and Machine Learning seem like buzzwords in the AI world. What is Deep Learning?

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Dataconomy

FEBRUARY 26, 2025

Machine learning Machine learning involves analyzing data to develop algorithms that enhance over time. Deep learning A subset of machine learning, deep learning uses multi-layered neural networks to process large datasets and deliver high accuracy in prediction tasks.

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Smart Data Collective

DECEMBER 1, 2022

The Growth of Natural Language Processing. Natural language processing is one of the most popular trends in big data. Natural language processing uses various algorithms to read, decode, and comprehend human speech. Strong Reliance On Cloud Storage.

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