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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IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

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Analytics Vidhya

MAY 1, 2023

Introduction You call artificial intelligence and machine learning magic. While this debate continues in the chorus, PwC’s global AI study says that the global economy will see a boost of 14% in GDP […] The post Emerging Trends in AI and ML in 2023 & Beyond appeared first on Analytics Vidhya.

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ML Artificial Intelligence Artificial Intelligence Machine Learning 283

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. PyTorch PyTorch is a widely used open-source machine learning library based on the Torch library.

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Deep Learning Machine Learning Python Computer Vision 122

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.

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Analytics Vidhya

DECEMBER 14, 2023

Introduction In the era of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL), the demand for formidable computational resources has reached a fever pitch. This digital revolution has propelled us into uncharted territories, where data-driven insights hold the keys to innovation.

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IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

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Data Science Machine Learning Big Data Data Mining 175

Marktechpost

AUGUST 27, 2024

Hugging Face has recently contributed significantly to cloud computing by introducing Hugging Face Deep Learning Containers for Google Cloud. This development represents a powerful step forward for developers and researchers looking to leverage cutting-edge machine-learning models with greater ease and efficiency.

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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). Leveraging extensive financial and real estate data, E.D.I.T.H.

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AI News

JULY 28, 2023

AI and machine learning are reshaping the job landscape, with higher incentives being offered to attract and retain expertise amid talent shortages. According to a recent report by Harnham , a leading data and analytics recruitment agency in the UK, the demand for ML engineering roles has been steadily rising over the past few years.

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ML ML Engineer Data Science Big Data 189

Analytics Vidhya

JULY 7, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Difference between AI, ML, and DL Everyone wants to become a. The post AI VS ML VS DL-Let’s Understand The Difference appeared first on Analytics Vidhya.

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Unite.AI

AUGUST 28, 2024

Deep Instinct is a cybersecurity company that applies deep learning to cybersecurity. As I learned about the possibilities of predictive prevention technology, I quickly realized that Deep Instinct was the real deal and doing something unique. ML is unfit for the task. He holds a B.Sc Not all AI is equal.

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Analytics Vidhya

FEBRUARY 2, 2022

Table of contents Overview Traditional Software development Life Cycle Waterfall Model Agile Model DevOps Challenges in ML models Understanding MLOps Data Engineering Machine Learning DevOps Endnotes Overview: MLOps According to research by deeplearning.ai, only 2% of the companies using Machine Learning, Deep learning have […].

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Marktechpost

AUGUST 13, 2024

However, as imaging technologies advance, images’ growing size, dimensionality, and complexity present challenges for scaling existing machine-learning techniques. DaCapo streamlines the training process for deep learning models by managing data loading, augmentation, loss calculation, and parameter optimization.

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Deep Learning Machine Learning Neural Network Large Language Models 123

Analytics Vidhya

AUGUST 7, 2024

Introduction As someone deeply passionate about the intersection of technology and education, I am thrilled to share that the Indian Space Research Organisation (ISRO) is offering an incredible opportunity for students interested in artificial intelligence (AI) and machine learning (ML). appeared first on Analytics Vidhya.

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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.

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Robotics Big Data Deep Learning Machine Learning 258

Analytics Vidhya

APRIL 26, 2022

Introduction on Binary Classification Artificial Intelligence, Machine Learning and Deep Learning are transforming various domains and industries. ML is used in healthcare for a variety of purposes. This article was published as a part of the Data Science Blogathon. One such domain is the field of Healthcare.

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Analytics Vidhya

FEBRUARY 28, 2024

Thanks to the innovative platform Runway ML, this captivating feat is now within reach.

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Marktechpost

APRIL 26, 2024

Graph Machine Learning (Graph ML), especially Graph Neural Networks (GNNs), has emerged to effectively model such data, utilizing deep learning’s message-passing mechanism to capture high-order relationships. Alongside topological structure, nodes often possess textual features providing context.

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Large Language Models Machine Learning Neural Network Deep Learning 130

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. Participants also gain hands-on experience with open-source frameworks and libraries like TensorFlow and Scikit-learn.

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Machine Learning Python Neural Network Convolutional Neural Networks 112

Unite.AI

MARCH 15, 2024

Nevertheless, addressing the cost-effectiveness of ML models for business is something companies have to do now. For businesses beyond the realms of big tech, developing cost-efficient ML models is more than just a business process — it's a vital survival strategy. Challenging Nvidia, with its nearly $1.5

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ML Deep Learning Neural Network Machine Learning 188

Marktechpost

OCTOBER 7, 2024

Modern machine learning (ML) phenomena such as double descent and benign overfitting have challenged long-standing statistical intuitions, confusing many classically trained statisticians. Various researchers have attempted to unravel the complexities of modern ML phenomena.

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Machine Learning ML Neural Network Deep Learning 110

Marktechpost

MARCH 23, 2024

AI researchers are taking the game to a new level with geometric deep learning. At its core, TacticAI relies on a cutting-edge geometric deep learning pipeline to turn raw football data into structured inputs for AI models to understand. Check out the Paper and Blog. Also, don’t forget to follow us on Twitter.

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Deep Learning Neural Network Data Mining Artificial Intelligence 144

Flipboard

OCTOBER 9, 2023

This lesson is the 2nd of a 3-part series on Docker for Machine Learning : Getting Started with Docker for Machine Learning Getting Used to Docker for Machine Learning (this tutorial) Lesson 3 To learn how to create a Docker Container for Machine Learning, just keep reading.

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Machine Learning Computer Vision Deep Learning Python 148

Marktechpost

MAY 6, 2024

The application of advanced AI technologies, particularly large language models (LLMs) and deep learning, has become instrumental in enhancing the detection of software vulnerabilities. The DLAP framework leverages static analysis tools and deep learning models to create prompts that enhance LLMs. precision and 73.3%

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Marktechpost

JULY 23, 2024

In recent years, research on tabular machine learning has grown rapidly. Traditionally, academic benchmarks for tabular ML have not fully represented the complexities encountered in real-world industrial applications. TabReD bridges the gap between academic research and industrial application in tabular machine learning.

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Machine Learning Deep Learning Metadata ML 120

Analytics Vidhya

FEBRUARY 21, 2022

Image designed by the author – Shanthababu Introduction Every ML Engineer and Data Scientist must understand the significance of “Hyperparameter Tuning (HPs-T)” while selecting your right machine/deep learning model and improving the performance of the model(s). Make it simple, for every […].

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ML Engineer Data Scientist Deep Learning Data Science 326

Marktechpost

JUNE 16, 2024

Topological Deep Learning (TDL) advances beyond traditional GNNs by modeling complex multi-way relationships, unlike GNNs that only capture pairwise interactions. Topological Neural Networks (TNNs), a subset of TDL, excel in handling higher-order relational data and have shown superior performance in various machine-learning tasks.

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Deep Learning Neural Network Machine Learning Explainability 123

Marktechpost

MAY 2, 2024

Multi-layer perceptrons (MLPs), or fully-connected feedforward neural networks, are fundamental in deep learning, serving as default models for approximating nonlinear functions. The study contributes by expanding the network to arbitrary sizes and depths, making it relevant in modern deep learning.

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Deep Learning Neural Network Continuous Learning ML 138

Analytics Vidhya

FEBRUARY 24, 2021

ArticleVideo Book Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry Ready Data Science Professional appeared first on Analytics Vidhya.

Data Science 300

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Marktechpost

MAY 15, 2024

In contrast, the proposed method, MatterSim, leverages deep learning techniques to understand atomic interactions from the fundamental principles of quantum mechanics. MatterSim is trained on large synthetic datasets that are created by combining active learning, generative models, and molecular dynamics simulations.

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Marktechpost

DECEMBER 14, 2024

Despite significant progress with deep learning models like AlphaFold and ProteinMPNN, there is a gap in accessible educational resources that integrate foundational machine learning concepts with advanced protein engineering methods.

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Deep Learning Machine Learning Neural Network Explainability 75

Unite.AI

JUNE 19, 2024

In world of Artificial Intelligence (AI) and Machine Learning (ML), a new professionals has emerged, bridging the gap between cutting-edge algorithms and real-world deployment. As businesses across industries increasingly embrace AI and ML to gain a competitive edge, the demand for MLOps Engineers has skyrocketed.

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Software Engineer DevOps Machine Learning ML 182

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.

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Marktechpost

JULY 18, 2024

This Paper addresses the limitations of classical machine learning approaches primarily developed for data lying in Euclidean space. Modern machine learning increasingly encounters richly structured data that is inherently non-Euclidean, exhibiting intricate geometric, topological, and algebraic structures.

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Machine Learning Computer Vision Neural Network Deep Learning 117

AI News

AUGUST 9, 2024

To elaborate, Machine learning (ML) models – especially deep learning networks – require enormous amounts of data to train effectively, often relying on powerful GPUs or specialised hardware to process this information quickly.

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Marktechpost

OCTOBER 17, 2024

The PyTorch community has continuously been at the forefront of advancing machine learning frameworks to meet the growing needs of researchers, data scientists, and AI engineers worldwide. The new PyTorch release brings exciting new features to its widely adopted deep learning framework. With the latest PyTorch 2.5

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