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.

Deep Learning 52

Deep Learning Machine Learning Data Scientist Data Science 52

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!

Deep Learning 52

Deep Learning Neural Network Convolutional Neural Networks Python 52

Heartbeat

SEPTEMBER 13, 2023

Source: ResearchGate Explainability refers to the ability to understand and evaluate the decisions and reasoning underlying the predictions from AI models (Castillo, 2021). Explainability techniques aim to reveal the inner workings of AI systems by offering insights into their predictions. What is Explainability?

Explainability 52

Explainability Machine Learning Deep Learning Explainable AI 52

Marktechpost

MARCH 31, 2024

The book also provides Python code to explain these concepts. It is beginner-friendly, easy to comprehend, and includes not only theoretical concepts but also sample Python codes. It covers the basics of machine learning and Python and can even be read by those who have no prior knowledge of the language.

Data Science 118

Data Science Data Mining Neural Network Machine Learning 118

Towards AI

JULY 21, 2023

People everywhere are working on some form of deep-learning-based computer vision projects. But before the advent of Deep Learning, image processing techniques were employed to manipulate and transform images in order to obtain insights that would help us achieve the task at hand. What does warping an image mean?

Computer Vision 95

Computer Vision Python Deep Learning Explainability 95

Heartbeat

SEPTEMBER 7, 2023

In the ever-evolving landscape of machine learning and artificial intelligence, understanding and explaining the decisions made by models have become paramount. Enter Comet , that streamlines the model development process and strongly emphasizes model interpretability and explainability. Why Does It Matter?

Explainability 52

Explainability Machine Learning Data Scientist Deep Learning 52

Unite.AI

OCTOBER 5, 2023

This is your third AI book, the first two being: “Practical Deep Learning: A Python-Base Introduction,” and “Math for Deep Learning: What You Need to Know to Understand Neural Networks” What was your initial intention when you set out to write this book? Different target audience.

Neural Network 298

Neural Network Deep Learning Machine Learning AI 298

Marktechpost

APRIL 28, 2024

and also allows the students to build an understanding of machine learning algorithms, including supervised, unsupervised, reinforcement, etc. Introduction to Artificial Intelligence with Python This course has been designed by Harvard University and explores the foundational concepts and algorithms of modern artificial intelligence.

Artificial Intelligence 108

Artificial Intelligence Artificial Intelligence Prompt Engineer Prompt Engineering 108

Analytics Vidhya

AUGUST 26, 2021

This article was published as a part of the Data Science Blogathon “You can have data without information but you cannot have information without data” – Daniel Keys Moran Introduction If you are here then you might be already interested in Machine Learning or Deep Learning so I need not explain what it is?

Deep Learning 284

Deep Learning Explainability Machine Learning Data Science 284

Heartbeat

MARCH 28, 2023

A complete guide to building a deep learning project with PyTorch, tracking an Experiment with Comet ML, and deploying an app with Gradio on HuggingFace Image by Freepik AI tools such as ChatGPT, DALL-E, and Midjourney are increasingly becoming a part of our daily lives. These tools were developed with deep learning techniques.

Deep Learning 52

Deep Learning ML Convolutional Neural Networks Machine Learning 52

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 Convolutional Neural Networks Neural Network Deep Learning 52

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?

Data Science 52

Data Science Python Neural Network Machine Learning 52

Heartbeat

JANUARY 31, 2024

Editor's Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners. We're committed to supporting and inspiring developers and engineers from all walks of life.

NLP 52

NLP Python Natural Language Processing Deep Learning 52

Viso.ai

APRIL 17, 2024

In deep learning models that use image data, features include detected edges, pixel data, exposure, etc. Better Model Explainability: Simplifying the feature space and focusing on relevant patterns improve the overall explainability (or interpretability) of the model.

Python 52

Python Machine Learning NLP Computer Vision 52

Mlearning.ai

APRIL 1, 2023

Image taken from Top2Vec: Distributed Representation of Topic Python Code We will now provide some Python code examples for training Word2Vec, Doc2Vec, and Top2Vec models. We have explained the architectures of each model, as well as how to create and train them using the gensim library in Python.

Deep Learning 52

Deep Learning NLP Natural Language Processing Neural Network 52

Marktechpost

DECEMBER 30, 2023

CodeGeeX leverages state-of-the-art natural language processing and deep learning techniques, enhancing accuracy and robustness. Duckargs Duckargs simplifies the creation of Python or C programs that accept command line arguments. boilerplate.

AI Modeling 127

AI Modeling Natural Language Processing Python Large Language Models 127

Viso.ai

MARCH 19, 2024

Here is a quick, practical guide on how you can get started experimenting with Grounded-SAM: Setting Up Grounded Segment Anything Step-by-Step: Environment Preparation: Ensure Python 3.8+ Execution: Run the GSA script with appropriate flags for your task: python run_gsa.py --input [input-path] --output [output-path]. is installed.

Explainability 52

Explainability Computer Vision Machine Learning ChatGPT 52

Towards AI

JANUARY 11, 2024

Learn AI Together Community section! The project explains how to train several machine learning models to predict the probability of survival, compare them against a baseline, and identify which provides the best prediction accuracy. Felix wants to take Deep Learning lessons multiple times a week.

Computer Vision 103

Computer Vision AI AI Explainability 103

Analytics Vidhya

APRIL 19, 2024

It integrates vision, language, and action to explain and determine driving behavior. 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.

Natural Language Processing 262

Natural Language Processing Artificial Intelligence Artificial Intelligence Explainability 262

Towards AI

MAY 14, 2024

Created by the author with DALL E-3 Machine learning has become very popular in the world of technology, this is evidenced as witnessed in social media with topics like deep learning, artificial intelligence and machine learning dominating the conversation when it comes to technology-related topics.

Machine Learning 92

Machine Learning Python Algorithm Artificial Intelligence 92

Mlearning.ai

JULY 30, 2023

Identifying important features using Python Introduction Features are the foundation on which every machine-learning model is built. Different machine-learning paradigms use different terminologies for features such as annotations, attributes, auxiliary information, etc. It is easy to understand and explain as well.

Python 52

Python Categorization Machine Learning Explainability 52

Flipboard

JULY 10, 2023

It uses deep learning algorithms and natural language processing techniques to understand and interpret math problems, then generates a solution explaining each process step. Even if the prompt outputs are identical, algebraic and Pythonic expressions could still result in inaccurate outcomes.

Large Language Models 65

Large Language Models Deep Learning Natural Language Processing BERT 65

PyImageSearch

APRIL 24, 2023

This tutorial is primarily for developers who want to accelerate their deep learning models with PyTorch 2.0. In this series, you will learn about Accelerating Deep Learning Models with PyTorch 2.0. TorchDynamo extracts FX Graphs by inspecting Python bytecode at runtime and detecting calls to PyTorch operations.

Neural Network 103

Neural Network Computer Vision Deep Learning Python 103

Mlearning.ai

JUNE 14, 2023

LLMs (Foundational Models) 101: Introduction to Transformer Models Transformers, explained: Understand the model behind GPT, BERT, and T5 — YouTube Illustrated Guide to Transformers Neural Network: A step by step explanation — YouTube Attention Mechanism Deep dive. Transformer Neural Networks — EXPLAINED!

Neural Network 52

Neural Network Large Language Models BERT Natural Language Processing 52

Marktechpost

MARCH 26, 2024

Deep learning models have recently gained significant popularity in the Artificial Intelligence community. In order to address these challenges, a team of researchers has introduced DomainLab, a modular Python package for domain generalization in deep learning. If you like our work, you will love our newsletter.

Deep Learning 121

Deep Learning Python Neural Network Artificial Intelligence 121

Marktechpost

JULY 10, 2023

On top of that, most workloads need a specific GPU family on which popular deep-learning frameworks can be run. The Machine Learning Compilation (MLC) team presents a project as an effort to alter the current situation and increase biodiversity in the environment. Therefore backup is important to start over.

Deep Learning 70

Deep Learning Python Machine Learning Artificial Intelligence 70

Mlearning.ai

JUNE 4, 2023

Things I wish I knew before I started computer vision Python will not save you! Computer Vision is where you see the world with your eyes and explain it to a computer and make it look at the world the same way that you do. Python may not save you. So, after some time in the field, here are some things I wish I had known.

Computer Vision 52

Computer Vision Neural Network Deep Learning Python 52

Analytics Vidhya

JUNE 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article aims to explain Convolutional Neural Network and how. The post Building a Convolutional Neural Network Using TensorFlow – Keras appeared first on Analytics Vidhya.

Convolutional Neural Networks 397

Convolutional Neural Networks Neural Network Data Science Explainability 397

Pragnakalp

APRIL 29, 2024

We’ve selected a research paper titled “DEEP LEARNING APPLICATIONS AND CHALLENGES IN BIG DATA ANALYTICS,” which can be accessed at the following link: [link] Please download the PDF and place it in your working directory. You can try this using the T4 on Google Colab also. A3: The two main focuses of the paper are: 1.

Deep Learning 59

Deep Learning Big Data LLM Data Science 59

Analytics Vidhya

SEPTEMBER 27, 2022

” In that blog, I have explained: how to create a dataset directory, train, test and validation dataset splitting, and training from scratch. This article was published as a part of the Data Science Blogathon. Introduction My last blog discussed the “Training of a convolutional neural network from scratch using the custom dataset.”

Convolutional Neural Networks 306

Convolutional Neural Networks Neural Network Explainability Data Science 306

Heartbeat

JULY 24, 2023

Algorithms for deep learning have been used to create art, enabling us to create original images by fusing the style and content of other embodiments. In this lesson, we will examine the idea of neural style transfer and discover how to use deep learning frameworks to execute it.

Deep Learning 52

Deep Learning Convolutional Neural Networks Neural Network Python 52

ODSC - Open Data Science

MARCH 11, 2024

NLP and LLMs The NLP and LLMs track will give you the opportunity to learn firsthand from core practitioners and contributors about the latest trends in data science languages and tools, such as pre-trained models, with use cases focusing on deep learning, speech-to-text, and semantic search.

Responsible AI 52

Responsible AI Deep Learning Data Science Machine Learning 52

Heartbeat

JANUARY 13, 2024

Quick Summary In this article, I’ll show you how to create amazing images from audio using the magic of Machine Learning and the Transformers models. I’ll explain each step clearly, uncover the secrets behind Whisper, and highlight the incredible abilities of Hugging Face models. But don’t worry, I’ll explain it step by step.

Machine Learning 52

Machine Learning NLP Python Deep Learning 52

Towards AI

JANUARY 26, 2024

This article will explain the concept of hyperparameter tuning and the different methods that are used to perform this tuning, and their implementation using python Photo by Denisse Leon on Unsplash Table of Content Model Parameters Vs Model Hyperparameters What is hyperparameter tuning? What is hyperparameter tuning?

Deep Learning 83

Deep Learning Algorithm Machine Learning Explainability 83

Heartbeat

FEBRUARY 13, 2023

In-depth Analysis of Kangas Library using Python Photo by James Wainscoat on Unsplash Working with large datasets has always been a challenge for data developers, and it remains so in the current data industry. Comet is an MLOps platform that offers a suite of tools for machine-learning experimentation and data analysis.

Data Science 94

Data Science Python Deep Learning Data Scientist 94

ODSC - Open Data Science

FEBRUARY 22, 2024

Key points of this talk are: In this talk, we will focus on: The dangers of using post-hoc explainability methods as tools for decision making, and how traditional ML isn’t suited in situations where want to perform interventions on the system. Learn how to use XGBoost and see firsthand how to create, tune, evaluate, and interpret a model.

Machine Learning 52

Machine Learning Data Science Python ML 52

PyImageSearch

FEBRUARY 20, 2023

Jump Right To The Downloads Section Learning JAX in 2023: Part 1 — The Ultimate Guide to Accelerating Numerical Computation and Machine Learning ?? Introduction As deep learning practitioners, it can be tough to keep up with all the new developments. Automatic Differentiation is at the very heart of Deep Learning.

Machine Learning 114

Machine Learning Deep Learning Computer Vision Neural Network 114