Analytics Vidhya

JANUARY 29, 2024

Introduction In the world of deep learning, where data is often less, the role of data augmentation has become very important. We use methods like turning images or flipping them to make our model learn better. But our datasets are becoming more complicated. That’s where data augmentation steps in.

Deep Learning 319

Deep Learning Python Machine Learning 319

Analytics Vidhya

APRIL 16, 2024

In the meantime, reading inspirational books, […] The post Here’s How You can Self Study for Deep Learning appeared first on Analytics Vidhya. Many struggle with where to begin or how to stay on track when starting a new endeavor.

Deep Learning 305

Deep Learning Neural Network Artificial Intelligence Artificial Intelligence 305

AI News

OCTOBER 15, 2024

Machine learning (ML) is revolutionising the way businesses operate, driving innovation, and unlocking new possibilities across industries. Machine learning is a subset of artificial intelligence used to develop algorithms and statistical models to enable computers to perform specific tasks without the need for instructions.

Machine Learning 288

Machine Learning Chatbots Business Intelligence Automation 288

Analytics Vidhya

DECEMBER 14, 2023

Introduction Gradient-weighted Class Activation Mapping is a technique used in deep learning to visualize and understand the decisions made by a CNN. This groundbreaking technique unveils the hidden decisions made by CNNs, transforming them from opaque models into transparent storytellers.

Deep Learning 328

Deep Learning Computer Vision Generative AI Machine Learning 328

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. Machine learning-based suggestions: Improved over time with usage. Although it has been discontinued, it significantly influenced modern AI coding assistants.

Auto-complete 297

Auto-complete Software Development Natural Language Processing Automation 297

Towards AI

DECEMBER 18, 2024

Photo by Mahdis Mousavi on Unsplash Do you want to get into machine learning? I have been in the Data field for over 8 years, and Machine Learning is what got me interested then, so I am writing about this! They chase the hype Neural Networks, Transformers, Deep Learning, and, who can forget AI and fall flat.

Machine Learning 105

Machine Learning Neural Network Deep Learning Explainability 105

Analytics Vidhya

JULY 16, 2024

This article aims to provide readers with […] The post What is Tensor: Key Concepts, Properties, and Uses in Machine Learning appeared first on Analytics Vidhya. Tensors efficiently handle multi-dimensional data, making such innovative projects possible.

Machine Learning 341

Machine Learning Neural Network Deep Learning Python 341

Analytics Vidhya

OCTOBER 30, 2024

Your new best friend in your machine learning, deep learning, and numerical computing journey. Hey there, fellow Python enthusiast! Have you ever wished your NumPy code run at supersonic speed? Think of it as NumPy with superpowers.

Deep Learning 249

Deep Learning Python Machine Learning 249

Marktechpost

NOVEMBER 14, 2024

By processing complex data formats, deep learning has transformed various domains, including finance, healthcare, and e-commerce. However, applying deep learning models to tabular data, characterized by rows and columns, poses unique challenges.

Deep Learning 87

Deep Learning Machine Learning AI AI 87

Unite.AI

MARCH 9, 2025

Instead of relying on shrinking transistors, AI employs parallel processing, machine learning , and specialized hardware to enhance performance. Deep learning and neural networks excel when they can process vast amounts of data simultaneously, unlike traditional computers that process tasks sequentially.

Neural Network 320

Neural Network Deep Learning Algorithm AI 320

Analytics Vidhya

JANUARY 15, 2025

In this article, we dive into the concepts of machine learning and artificial intelligence model explainability and interpretability. We explore why understanding how models make predictions is crucial, especially as these technologies are used in critical fields like healthcare, finance, and legal systems.

Explainability 271

Explainability ML AI Modeling Artificial Intelligence 271

The MLOps Blog

MARCH 13, 2025

In our paper Bayesian Deep Learning is Needed in the Age of Large-Scale AI , we argue that the case above is not the exception but rather the rule and a direct consequence of the research community’s focus on predictive accuracy as a single metric of interest.

Deep Learning 69

Deep Learning Neural Network Machine Learning Algorithm 69

Marktechpost

OCTOBER 31, 2024

Deep learning has made advances in various fields, and it has made its way into material sciences as well. From tasks like predicting material properties to optimizing compositions, deep learning has accelerated material design and facilitated exploration in expansive materials spaces.

Neural Network 87

Neural Network Explainable AI Explainability Machine Learning 87

Unite.AI

NOVEMBER 5, 2024

The need for specialized AI accelerators has increased as AI applications like machine learning, deep learning , and neural networks evolve. Huawei vs. NVIDIA: The Battle for AI Supremacy NVIDIA has long been the leader in AI computing, with its GPUs serving as the standard for machine learning and deep learning tasks.

Deep Learning 189

Deep Learning AI AI Neural Network 189

Unite.AI

DECEMBER 17, 2024

As AI disrupts nearly every industry, the agriculture sector, which faces significant obstacles on multiple fronts, is cautiously embracing machine learning, computer vision, and other data-driven processes. The tractor didnt just offer farmers a tool to improve their business operations, it also helped supplement food supplies.

Computer Vision 289

Computer Vision Robotics AI AI 289

Analytics Vidhya

JUNE 20, 2024

Introduction An introduction to machine learning (ML) or deep learning (DL) involves understanding two basic concepts: parameters and hyperparameters. When I came across these terms for the first time, I was confused because they were new to me. If you’re reading this, I assume you are in a similar situation too.

Deep Learning 318

Deep Learning Machine Learning ML 318

Analytics Vidhya

APRIL 19, 2024

Introduction Embark on a thrilling journey into the domain of Convolutional Neural Networks (CNNs) and Skorch, a revolutionary fusion of PyTorch’s deep learning prowess and the simplicity of scikit-learn. Join us […] The post Train PyTorch Models Scikit-learn Style with Skorch appeared first on Analytics Vidhya.

Convolutional Neural Networks 318

Convolutional Neural Networks Neural Network Deep Learning Machine Learning 318

Marktechpost

FEBRUARY 23, 2025

Microsoft Researchers have introduced BioEmu-1, a deep learning model designed to generate thousands of protein structures per hour. Technical Details The core of BioEmu-1 lies in its integration of advanced deep learning techniques with well-established principles from protein biophysics.

Deep Learning 87

Deep Learning AI Researcher AI Research ML 87

Analytics Vidhya

APRIL 9, 2024

Introduction Decoding Neural Networks: Inspired by the intricate workings of the human brain, neural networks have emerged as a revolutionary force in the rapidly evolving domains of artificial intelligence and machine learning.

Neural Network 295

Neural Network Deep Learning Machine Learning Artificial Intelligence 295

Marktechpost

FEBRUARY 8, 2025

As deep learning models continue to grow, the quantization of machine learning models becomes essential, and the need for effective compression techniques has become increasingly relevant. Low-bit quantization is a method that reduces model size while attempting to retain accuracy. Check out the Paper.

Large Language Models 83

Large Language Models Machine Learning Deep Learning Artificial Intelligence 83

Marktechpost

FEBRUARY 15, 2025

Quantization is a crucial technique in deep learning for reducing computational costs and improving model efficiency. Large-scale language models demand significant processing power, which makes quantization essential for minimizing memory usage and enhancing inference speed.

Deep Learning 97

Deep Learning Conversational AI LLM ML 97

Analytics Vidhya

JUNE 15, 2024

Introduction Tensorflow and Keras are well-known machine learning frameworks for data scientists or developers. TensorFlow is a robust end-to-end Deep Learning framework. In the upcoming sections we will examine the pros, downsides, and differences between these libraries. Overview What is TensorFlow?

Data Scientist 310

Data Scientist Deep Learning Machine Learning Data Science 310

Unite.AI

NOVEMBER 20, 2024

With daily advancements in machine learning , natural language processing , and automation, many of these companies identify as “cutting-edge,” but struggle to stand out. As of 2024, there are approximately 70,000 AI companies worldwide, contributing to a global AI market value of nearly $200 billion.

Deep Learning 147

Deep Learning Natural Language Processing Machine Learning AI 147

Marktechpost

OCTOBER 28, 2024

Strengths: User-friendly interface Variety of AI models Easy to use, even without coding experience PyTorch Playground PyTorch Playground is an interactive environment that allows users to learn and experiment with PyTorch, a popular deep-learning framework.

Neural Network 109

Neural Network Natural Language Processing Deep Learning Machine Learning 109

Flipboard

MARCH 6, 2025

Preferred Networks is a little-known name outside of Japan, but the Toyota-backed artificial intelligence unicorn has big plans to use deep learning

Deep Learning 174

Deep Learning Artificial Intelligence Artificial Intelligence AI 174

Towards AI

JANUARY 29, 2025

Generative AI is powered by advanced machine learning techniques, particularly deep learning and neural networks, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Roles like AI Engineer, Machine Learning Engineer, and Data Scientist are increasingly requiring expertise in Generative AI.

AI Engineer 98

AI Engineer Generative AI Neural Network BERT 98

Unite.AI

OCTOBER 27, 2024

stands as Google's flagship JavaScript framework for machine learning and AI development, bringing the power of TensorFlow to web browsers and Node.js MediaPipe.js, developed by Google, represents a breakthrough in bringing real-time machine learning capabilities to web applications. TensorFlow.js TensorFlow.js

Neural Network 162

Neural Network Machine Learning NLP Natural Language Processing 162

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.

Deep Learning 318

Deep Learning Machine Learning Computer Vision Algorithm 318

Marktechpost

NOVEMBER 16, 2024

Over two weeks, you’ll learn to extract features from images, apply deep learning techniques for tasks like classification, and work on a real-world project to detect facial key points using a convolutional neural network (CNN).

Computer Vision 103

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 103

Analytics Vidhya

MARCH 25, 2025

How can you ensure your machine learning models get the high-quality data they need to thrive? In todays machine learning landscape, handling data well is as important as building strong models. Feeding high-quality, well-structured data into your models can significantly impact performance and training speed.

Machine Learning 154

Machine Learning AI AI Deep Learning 154

AI News

JUNE 3, 2024

Harnessing the Power of Machine Learning and Deep Learning At TickLab, our innovative approach is deeply rooted in the advanced capabilities of machine learning (ML) and deep learning (DL). Deep learning, a subset of ML, plays a crucial role in our data analysis and decision-making processes.

Deep Learning 299

Deep Learning Artificial Intelligence Artificial Intelligence Machine Learning 299

NVIDIA

JANUARY 2, 2025

Using embedded cameras and machine learning, the analyzer identifies and differentiates materials on conveyor belts, significantly improving recycling efficiency. Built in collaboration with the NVIDIA Deep Learning Institute, the hub offers training, technologies and business networks to drive AI adoption across the continent.

Deep Learning 143

Deep Learning Artificial Intelligence Artificial Intelligence Machine Learning 143

Unite.AI

MARCH 12, 2025

Machine learning models process millions of data points every second. Supervised learning helps detect known fraud patterns, while unsupervised learning picks up on unusual activity that does not match typical behavior. They also analyze device details such as operating system and IP address to confirm a user's identity.

Algorithm 194

Algorithm AI AI Deep Learning 194

Unite.AI

JANUARY 24, 2025

Claudionor Coelho is the Chief AI Officer at Zscaler, responsible for leading his team to find new ways to protect data, devices, and users through state-of-the-art applied Machine Learning (ML), Deep Learning and Generative AI techniques. He also held ML and deep learning roles at Google.

Deep Learning 246

Deep Learning Generative AI AI AI 246

AI News

MARCH 8, 2024

Hugging Face , the startup behind the popular open source machine learning codebase and ChatGPT rival Hugging Chat, is venturing into new territory with the launch of an open robotics project. Until now, Hugging Face has primarily focused on software offerings like its machine learning codebase and open-source chatbot.

Robotics 322

Robotics Big Data Deep Learning Machine Learning 322

Unite.AI

FEBRUARY 6, 2025

The exponential rise of generative AI has brought new challenges for enterprises looking to deploy machine learning models at scale. With this investment, Avi Bharadwaj, Investment Director at Intel Capital, will join TrueFoundrys board of directors.

DevOps 179

DevOps Machine Learning Large Language Models Automation 179

Unite.AI

DECEMBER 17, 2024

Machine learning models can be used to detect suspicious patterns based on a series of datasets that are in constant evolution. AI systems, especially deep learning models, can be difficult to interpret. AI presents a new way of screening for financial crime risk.

Automation 246

Automation AI AI Explainability 246