Analytics Vidhya

APRIL 17, 2022

This article was published as a part of the Machine Learning. Introduction This article is about predicting SONAR rocks against Mines with the help of Machine Learning. Machine learning-based tactics, and deep learning-based approaches have applications in […].

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Towards AI

AUGUST 21, 2023

Machine Learning vs. AI vs. Deep Learning vs. Neural Networks: What’s the Difference? Amidst this backdrop, we often hear buzzwords like artificial intelligence (AI), machine learning (ML), deep learning, and neural networks thrown around almost interchangeably.

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Marktechpost

MAY 10, 2024

Machine learning is widely applied in finance for tasks like credit scoring, fraud detection, and trading. This course recommends top machine learning courses for finance professionals aiming to harness these techniques for better decision-making and performance.

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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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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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Heartbeat

OCTOBER 11, 2023

This process is known as machine learning or deep learning. Two of the most well-known subfields of AI are machine learning and deep learning. What is Machine Learning? Machine learning algorithms can make predictions or classifications based on input data.

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Towards AI

MARCH 5, 2023

Get ahead in the AI game with our top picks for laptops that are perfect for machine learning, data science, and deep learning at every budget. Last updated March 5, 2023 Are you tired of endlessly scouring the internet for the perfect laptop to power your machine learning, deep learning, and data science projects?

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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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Pickl AI

AUGUST 3, 2023

Introduction to Deep Learning Algorithms: Deep learning algorithms are a subset of machine learning techniques that are designed to automatically learn and represent data in multiple layers of abstraction. How Deep Learning Algorithms Work?

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Marktechpost

MAY 15, 2024

The study compares MOMENT with state-of-the-art deep learning and statistical machine learning models across various tasks, contrary to TimesNet, which mainly focuses on transformer-based approaches. The research also underscores the viability of smaller statistical and shallower deep learning methods across many tasks.

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IBM Journey to AI blog

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

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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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Marktechpost

SEPTEMBER 1, 2023

Incorporating machine learning and deep learning algorithms has shown promise in bolstering security. In addition, the study highlights that hybrid schemes combining deep learning features with deep learning/machine learning classification can significantly improve authentication performance.

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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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Google Research AI blog

APRIL 21, 2023

However, developing and iterating on these ML-based multimedia prototypes can be challenging and costly. It usually involves a cross-functional team of ML practitioners who fine-tune the models, evaluate robustness, characterize strengths and weaknesses, inspect performance in the end-use context, and develop the applications.

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Towards AI

JUNE 27, 2023

Last Updated on June 27, 2023 by Editorial Team Source: Unsplash This piece dives into the top machine learning developer tools being used by developers — start building! In the rapidly expanding field of artificial intelligence (AI), machine learning tools play an instrumental role.

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NYU Center for Data Science

SEPTEMBER 28, 2023

Building on this momentum is a dynamic research group at the heart of CDS called the Machine Learning and Language (ML²) group. By 2020, ML² was a thriving community, primarily known for its recurring speaker series where researchers presented their work to peers. What does it mean to work in NLP in the age of LLMs?

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Flipboard

JUNE 14, 2023

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). A lot of …

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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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Towards AI

SEPTEMBER 10, 2023

What I’ve learned from the most popular DL course Photo by Sincerely Media on Unsplash I’ve recently finished the Practical Deep Learning Course from Fast.AI. I’ve passed many ML courses before, so that I can compare. So you definitely can trust his expertise in Machine Learning and Deep Learning.

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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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Marktechpost

NOVEMBER 8, 2023

The recent developments in the fields of Artificial Intelligence and Machine Learning have made everyone’s lives easier. With their incredible capabilities, AI and ML are diving into every industry and solving problems. A number of approaches capable of estimating and calibrating uncertainty in ML have been developed.

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Marktechpost

NOVEMBER 22, 2023

Even though edge devices often handle deep learning tasks, the training of deep neural networks usually happens on powerful cloud GPU servers. However, existing training frameworks are specifically for powerful cloud servers with accelerators, which must be optimized to enable effective learning on edge devices.

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Marktechpost

JANUARY 3, 2024

The introduction of TSPP, a comprehensive benchmarking tool by researchers from Nvidia, is a major stride in addressing these challenges, offering a standardized approach for evaluating machine learning solutions in real-world scenarios. The methodology of TSPP is comprehensive, covering all aspects of the machine learning process.

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Towards AI

JANUARY 9, 2024

I have received a lot of DMs from people asking me for advice on how to learn machine learning. So in this post, I thought I would talk through 7 of the top mistakes I see beginner machine learning students making every year.My In other words, we all want to get directly into Deep Learning.

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Towards AI

APRIL 7, 2024

With the emergence of ARCGISpro which will replace ArcMap by 2026 mainly focusing on data science and machine learning, all the signs that machine learning is the future of GIS and you might have to learn some principles of data science, but where do you start, let us have a look.

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Marktechpost

APRIL 24, 2024

While traditional PAM analysis is time-consuming, recent advancements in deep learning technology offer promising solutions for automating bird species identification from audio recordings. Preliminary research in interpretable deep learning for audio includes deep prototype learning, initially proposed for image classification.

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ODSC - Open Data Science

JULY 26, 2023

As a senior data scientist, I often encounter aspiring data scientists eager to learn about machine learning (ML). In this comprehensive guide, I will demystify machine learning, breaking it down into digestible concepts for beginners. What is Machine Learning?

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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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Marktechpost

DECEMBER 1, 2023

This study centers on precisely predicting intratumoral fluid pressure (IFP) and liposome accumulation, unveiling a pioneering physics-informed deep learning model. This research’s contribution distinguishes itself by introducing an unprecedented approach that amalgamates machine learning with principles grounded in physics.

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Mlearning.ai

NOVEMBER 3, 2023

I think I managed to get most of the ML players in there…?? And who by gradient descent, who by quick segment Who in the cluster, who in the top percent Who by linear regression, who by SVM Who in random forest, who in deep learning And who shall I say is normalizing?

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Marktechpost

DECEMBER 27, 2023

A challenge AI engineers face in machine learning is the need for a complex infrastructure to manage models. This problem can be time-consuming and resource-intensive, making it a hurdle for efficient machine-learning operations. PostgresML has several noteworthy features that make it stand out in machine learning.

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Marktechpost

MAY 5, 2024

In deep learning, especially in NLP, image analysis, and biology, there is an increasing focus on developing models that offer both computational efficiency and robust expressiveness. Orchid sets a new benchmark in sequence modeling, enabling more efficient deep-learning models to process ever-larger datasets.

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Mlearning.ai

JULY 1, 2023

In this article, we will delve into two approaches: leveraging deep learning with facial recognition and employing logistic regression using tweet history in PySpark. Submission Suggestions Predicting Gender from Twitter: Unveiling Insights with Deep Learning and Machine Learning was originally published in MLearning.ai

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ODSC - Open Data Science

MARCH 6, 2023

In an effort to learn more about our community, we recently shared a survey about machine learning topics, including what platforms you’re using, in what industries, and what problems you’re facing. For currently-used machine learning frameworks, some of the usual contenders were popular as expected.

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Marktechpost

FEBRUARY 24, 2024

Underwater image processing combined with machine learning offers significant potential for enhancing the capabilities of underwater robots across various marine exploration tasks. Image segmentation, a key aspect of machine vision, is crucial for identifying and isolating objects of interest within underwater images.

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Marktechpost

APRIL 15, 2024

Existing benchmarks like Graph500 and LDBC need to be revised for GNNs due to differences in computations, storage, and reliance on deep learning frameworks. GNNBENCH offers versatile integration with popular deep learning frameworks like PyTorch, TensorFlow, and MXNet, facilitating seamless platform experimentation.

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