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Deep Learning Natural Language Processing Python 
Analytics Vidhya
NOVEMBER 12, 2021
This article was published as a part of the Data Science Blogathon This article starts by discussing the fundamentals of Natural Language Processing (NLP) and later demonstrates using Automated Machine Learning (AutoML) to build models to predict the sentiment of text data. You may be […].
Analytics Vidhya
FEBRUARY 2, 2023
In this guide, […] The post How to Build a Chatbot using Natural Language Processing? This beginner’s guide will go over the steps to build a simple chatbot using NLP techniques. appeared first on Analytics Vidhya.
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AI for Paralegals: Everything You Need to Know (and How to Use It Safely)
The Intersection of AI and Sales: Personalization Without Compromise
How to Achieve High-Accuracy Results When Using LLMs
Beyond the Buzz: How to Turn Marketing Trends into Revenue-Driving Strategies
AI News
JANUARY 21, 2025
AI coding tools leverage machine learning, deep learning, and natural language processing to assist developers in writing and optimising code. Key features: Python-focused autocompletion: Provided predictive code completions. Machine learning-based suggestions: Improved over time with usage.
291 
Analytics Vidhya
MARCH 17, 2019
Introduction Natural Language Processing (NLP) applications have become ubiquitous these days. The post 8 Excellent Pretrained Models to get you Started with Natural Language Processing (NLP) appeared first on Analytics Vidhya.
Analytics Vidhya
JUNE 9, 2019
Introduction “I don’t want a full report, just give me a summary of the results” I have often found myself in this situation – The post Comprehensive Guide to Text Summarization using Deep Learning in Python appeared first on Analytics Vidhya.
307 
Analytics Vidhya
NOVEMBER 19, 2019
Overview The attention mechanism has changed the way we work with deep learning algorithms Fields like Natural Language Processing (NLP) and even Computer Vision. The post A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone appeared first on Analytics Vidhya.
288 
Analytics Vidhya
MAY 29, 2024
Introduction One of the most important tasks in natural language processing is text summarizing, which reduces long texts to brief summaries while maintaining important information.
Analytics Vidhya
APRIL 16, 2024
Introduction Welcome into the world of Transformers, the deep learning model that has transformed Natural Language Processing (NLP) since its debut in 2017. These linguistic marvels, armed with self-attention mechanisms, revolutionize how machines understand language, from translating texts to analyzing sentiments.
Analytics Vidhya
DECEMBER 17, 2019
Introduction High-quality machine learning and deep learning content – that’s the piece de resistance our community loves. The post 20 Most Popular Machine Learning and Deep Learning Articles on Analytics Vidhya in 2019 appeared first on Analytics Vidhya. That’s the peg we hang our hat.
268 
Marktechpost
OCTOBER 25, 2024
Natural Language Processing (NLP) is a rapidly growing field that deals with the interaction between computers and human language. Transformers is a state-of-the-art library developed by Hugging Face that provides pre-trained models and tools for a wide range of natural language processing (NLP) tasks.
Analytics Vidhya
JANUARY 24, 2024
Introduction Welcome to the world of Large Language Models (LLM). In the old days, transfer learning was a concept mostly used in deep learning. However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP).
336 
Analytics Vidhya
DECEMBER 15, 2019
Overview Neural fake news (fake news generated by AI) can be a huge issue for our society This article discusses different Natural Language Processing. The post An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP appeared first on Analytics Vidhya.
400 
Marktechpost
MARCH 30, 2024
In 2024, the landscape of Python libraries for machine learning and deep learning continues to evolve, integrating more advanced features and offering more efficient and easier ways to build, train, and deploy models. Below are the top ten Python libraries that stand out in AI development.
120 
Marktechpost
MAY 20, 2024
Deep learning is a subset of machine learning that involves training neural networks with multiple layers to recognize patterns and make data-based decisions. This article lists the top courses in deep learning that provide comprehensive knowledge and practical skills necessary to excel in this transformative field.
126 
Marktechpost
OCTOBER 28, 2024
By inputting different prompts, users can observe the model’s ability to generate human-quality text, translate languages, write various kinds of creative content, and answer your questions in an informative way. This platform provides a valuable opportunity to understand the potential of AI in natural language processing.
107 Marktechpost
MARCH 8, 2025
Deep learning models, having revolutionized areas of computer vision and natural language processing, become less efficient as they increase in complexity and are bound more by memory bandwidth than pure processing power. Its operated using an easy-to-use CLI and native client SDKs in Python and TypeScript.
AWS Machine Learning Blog
DECEMBER 12, 2024
Amazon SageMaker has redesigned its Python SDK to provide a unified object-oriented interface that makes it straightforward to interact with SageMaker services. Shweta Singh is a Senior Product Manager in the Amazon SageMaker Machine Learning (ML) platform team at AWS, leading SageMaker Python SDK.
99 
Analytics Vidhya
JUNE 12, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Natural Language Processing (NLP) is a field at the convergence. The post Language Translation with Transformer In Python! appeared first on Analytics Vidhya.
182 
Unite.AI
OCTOBER 27, 2024
The framework enables developers to build, train, and deploy machine learning models entirely in JavaScript, supporting everything from basic neural networks to complex deep learning architectures. From powerful machine learning frameworks like TensorFlow.js What distinguishes TensorFlow.js
162 
Analytics Vidhya
APRIL 19, 2024
Introduction Wayve, a leading artificial intelligence company based in the United Kingdom, introduces Lingo-2, a groundbreaking system that harnesses the power of natural language processing. It integrates vision, language, and action to explain and determine driving behavior.
Analytics Vidhya
JULY 20, 2020
Introduction With the advancement in deep learning, neural network architectures like recurrent neural networks (RNN and LSTM) and convolutional neural networks (CNN) have shown. The post Transfer Learning for NLP: Fine-Tuning BERT for Text Classification appeared first on Analytics Vidhya.
400 
Analytics Vidhya
AUGUST 17, 2023
Introduction spaCy is a Python library for Natural Language Processing (NLP). Developers use it to create information extraction and natural language comprehension systems, as in Cython. NLP pipelines with spaCy are free and open source. Use the tool for production, boasting a concise and user-friendly API.
271 
Marktechpost
MAY 14, 2024
Deep learning is crucial in today’s age as it powers advancements in artificial intelligence, enabling applications like image and speech recognition, language translation, and autonomous vehicles. Additionally, it offers insights into the diverse range of deep learning techniques applied across various industrial sectors.
107 
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 […].
316 
Marktechpost
JULY 12, 2023
Advances in Deep Learning Methodologies are greatly impacting the Artificial Intelligence community. Deep Learning techniques are being widely used in almost every industry, be it healthcare, social media, engineering, finance, or education.
Marktechpost
MAY 5, 2024
In recent years, the demand for AI and Machine Learning has surged, making ML expertise increasingly vital for job seekers. Additionally, Python has emerged as the primary language for various ML tasks. Machine Learning with Python This course covers the fundamentals of machine learning algorithms and when to use each of them.
117 
Analytics Vidhya
AUGUST 17, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: [link] Natural language processing has been an area of research. The post Predict the next word of your text using Long Short Term Memory (LSTM) appeared first on Analytics Vidhya.
Analytics Vidhya
JULY 24, 2022
Though these scriptures are in many languages, most of them happen to be in Sanskrit. So, why not employ the power of Natural Language Processing and fiddle a little with Sanskrit text? Sanskrit is one of the most ancient and unambiguous languages […].
Analytics Vidhya
JULY 21, 2023
Introduction Recent advances in natural language processing (NLP) are essential for data scientists to stay on top. NLP books are priceless sources that provide in-depth knowledge, practical guidance, and cutting-edge techniques in the field.
271 
Analytics Vidhya
MARCH 5, 2024
Introduction ChatGPT, powered by OpenAI, has revolutionized online conversations by providing a natural language processing interface. To further enhance user experience and functionality, developers have created a variety of plugins that seamlessly integrate with ChatGPT.
319 
Analytics Vidhya
JANUARY 13, 2021
ArticleVideos Introduction The world of Natural language processing is recently overtaken by the invention of Transformers. Transformers are entirely indifferent to the conventional sequence-based. The post Emotion classification on Twitter Data Using Transformers appeared first on Analytics Vidhya.
Marktechpost
JUNE 3, 2024
Its AI courses offer hands-on training for real-world applications, enabling learners to effectively use Intel’s portfolio in deep learning, computer vision, and more. It covers AI fundamentals, including supervised learning and deep learning basics, without complex math.
FEBRUARY 10, 2025
Prerequisites To follow along with the code examples in the rest of this post, make sure the following prerequisites are met: Integrated development environment This includes the following: (Optional) Access to Amazon SageMaker Studio and the JupyterLab IDE We will use a Python runtime environment to build agentic workflows and deploy LLMs.
161 
Marktechpost
NOVEMBER 10, 2024
With its robust library ecosystem, Python provides a vast choice of tools to improve and streamline sentiment analysis processes. Through the use of these libraries, data scientists can easily create precise sentiment models using pre-trained models and sophisticated machine learning frameworks.
85 
AWS Machine Learning Blog
NOVEMBER 29, 2023
In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and recommendation systems. use train_dataloader in the rest of the training logic.
114 
Marktechpost
JUNE 14, 2024
This article lists the top AI courses by Stanford that provide essential training in machine learning, deep learning, natural language processing, and other key AI technologies, making them invaluable for anyone looking to excel in the field.
Marktechpost
NOVEMBER 11, 2024
Python has become the go-to language for data analysis due to its elegant syntax, rich ecosystem, and abundance of powerful libraries. Data scientists and analysts leverage Python to perform tasks ranging from data wrangling to machine learning and data visualization.
Marktechpost
MARCH 28, 2024
Deep Learning (Adaptive Computation and Machine Learning series) This book covers a wide range of deep learning topics along with their mathematical and conceptual background. It also provides information on the different deep learning techniques used in various industrial applications.
Unite.AI
JULY 11, 2023
Introduction To Image Generation Image Source Course difficulty: Beginner-level Completion time: ~ 1 day (Complete the quiz/lab in your own time) Prerequisites: Knowledge of ML, Deep Learning (DL), Convolutional Neural Nets (CNNs), and Python programming. What will AI enthusiasts learn? What will AI enthusiasts learn?
189 
Towards AI
DECEMBER 28, 2023
Later, Python gained momentum and surpassed all programming languages, including Java, in popularity around 2018–19. The advent of more powerful personal computers paved the way for the gradual acceptance of deep learning-based methods. CS6910/CS7015: Deep Learning Mitesh M.
ODSC - Open Data Science
APRIL 28, 2023
If a Natural Language Processing (NLP) system does not have that context, we’d expect it not to get the joke. In this post, I’ll be demonstrating two deep learning approaches to sentiment analysis. Deep learning refers to the use of neural network architectures, characterized by their multi-layer design (i.e.
Unite.AI
AUGUST 28, 2023
With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. Deep learning techniques further enhanced this, enabling sophisticated image and speech recognition.
240 
Marktechpost
JULY 31, 2024
TensorFlow is a powerful open-source framework for building and deploying machine learning models. Learning TensorFlow enables you to create sophisticated neural networks for tasks like image recognition, natural language processing, and predictive analytics.
106 
IBM Journey to AI blog
SEPTEMBER 19, 2023
Generative AI for coding is possible because of recent breakthroughs in large language model (LLM) technologies and natural language processing (NLP). It uses deep learning algorithms and large neural networks trained on vast datasets of diverse existing source code.
241
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