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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Analytics Vidhya

JUNE 29, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Did you developed a Machine Learning or Deep Learning application. The post Deploy Your ML/DL Streamlit Application on Heroku appeared first on Analytics Vidhya.

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Analytics Vidhya

FEBRUARY 21, 2022

This article was published as a part of the Data Science Blogathon. 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).

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Deep Learning Deep Learning Data Scientist Data Science 337

Analytics Vidhya

MARCH 13, 2023

Introduction Deep Learning has revolutionized the field of AI by enabling machines to learn and improve from large amounts of data. This article will […] The post Mediapipe Tasks API and its Implementation in Projects appeared first on Analytics Vidhya.

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KDnuggets

NOVEMBER 22, 2021

PyTorch and TensorFlow are the two leading AI/ML Frameworks. In this article, we take a look at their on-device counterparts PyTorch Mobile and TensorFlow Lite and examine them more deeply from the perspective of someone who wishes to develop and deploy models for use on mobile platforms.

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Analytics Vidhya

APRIL 26, 2022

This article was published as a part of the Data Science Blogathon. 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. One such domain is the field of Healthcare.

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Analytics Vidhya

FEBRUARY 2, 2022

This article was published as a part of the Data Science Blogathon. The post MLOps Part 1: Revealing the Approach behind MLOps appeared first on Analytics Vidhya.

Machine Learning 271

Machine Learning Machine Learning Deep Learning Deep Learning 271

Analytics Vidhya

JANUARY 21, 2022

This article was published as a part of the Data Science Blogathon. In this article, we are going to analyze the Zero-crossing rates (ZCRs) of different music genre tracks. I highly encourage you to check out his Youtube channel for his outstanding work in the field of ML/DL […].

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Dataconomy

MAY 29, 2023

In the field of AI and ML, QR codes are incredibly helpful for improving predictive analytics and gaining insightful knowledge from massive data sets. Some of the methods used in ML include supervised learning, unsupervised learning, reinforcement learning, and deep learning.

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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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insideBIGDATA

APRIL 22, 2023

The company surveyed more than 1,600 executives and ML practitioners to uncover what’s working, what’s not, and the best practices for organizations to deploy AI for real business impact. Our friends over at Scale are excited to introduce the 2nd edition of Scale Zeitgeist: AI Readiness Report!

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insideBIGDATA

DECEMBER 30, 2023

They bring human experts into the loop to view how the ML performed on a set of data. The expert learns which types of data the machine-learning system typically classifies correctly, and which data types lead to confusion and system errors.

Machine Learning 511

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Analytics Vidhya

AUGUST 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we shall make an ML model in Python that will be able to add colors to old, washed-away, and faded images. In summary, we have to achieve the target of colorizing images using ML. What we are going to […].

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Analytics Vidhya

AUGUST 29, 2021

This article was published as a part of the Data Science Blogathon The task of tracking objects in an image is one of the hottest and most requested areas of ML. This article will help you start your journey into the world of computer […]. However, we already have a huge variety of different techniques and tools.

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The MLOps Blog

NOVEMBER 14, 2023

Deep learning models are typically highly complex. While many traditional machine learning models make do with just a couple of hundreds of parameters, deep learning models have millions or billions of parameters. This is where visualizations in ML come in.

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Analytics Vidhya

DECEMBER 3, 2019

Learn how to build Natural Language Processing (NLP) iOS apps in this article We’ll be using Apple’s Core. using Apple’s Core ML 3) appeared first on Analytics Vidhya. Overview Intrigued by Apple’s iOS apps? The post Create Natural Language Processing-based Apps for iOS in Minutes!

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insideBIGDATA

AUGUST 8, 2023

In this contributed article, Rudrendu Kumar Paul, AI Expert and Applied ML industry professional, explores the transformative role of AI in strategic sourcing, inventory management, and risk management within supply chain operations.

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KDnuggets

NOVEMBER 9, 2021

Beginners in the field can often have many misconceptions about machine learning that sometimes can be a make-it-or-break-it moment for the individual switching careers or starting fresh.

Machine Learning 307

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IBM Data Science in Practice

MARCH 21, 2023

Deep learning models built using Maximo Visual Inspection (MVI) are used for a wide range of applications, including image classification and object detection. These models train on large datasets and learn complex patterns that are difficult for humans to recognize. What are the types of image processing ML models?

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insideBIGDATA

FEBRUARY 4, 2023

Comet, provider of a leading MLOps platform for machine learning (ML) teams from startup to enterprise, announced its second annual Convergence conference. The event, which is free to the ML community, will take place virtually March 7-8, 2023.

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insideBIGDATA

JULY 21, 2023

In this video presentation, Aleksa Gordić explains what it takes to scale ML models up to trillions of parameters! He covers the fundamental ideas behind all of the recent big ML models like Meta's OPT-175B, BigScience BLOOM 176B, EleutherAI's GPT-NeoX-20B, GPT-J, OpenAI's GPT-3, Google's PaLM, DeepMind's Chinchilla/Gopher models, etc.

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insideBIGDATA

MAY 28, 2023

iMerit, a leading artificial intelligence (AI) data solutions company, released its 2023 State of ML Ops report, which includes a study outlining the impact of data on wide-scale commercial-ready AI projects.

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Data Science Dojo

SEPTEMBER 8, 2023

This article explores the fascinating applications of AI and Predictive Analytics in the field of engineering. We’ll dive into the core concepts of AI, with a special focus on Machine Learning and Deep Learning, highlighting their essential distinctions. Streamline operations. Improve customer service.

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Analytics Vidhya

MAY 24, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon In terms of ML, what neural network means? A neural network. The post Neural network and hyperparameter optimization using Talos appeared first on Analytics Vidhya.

Data Science 271

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Dataconomy

MAY 22, 2023

Distributed learning has emerged as a crucial technique for tackling complex problems and harnessing the power of large-scale data processing. But what exactly is distributed learning in machine learning? In this article, we will explore the concept of distributed learning and its significance in the realm of machine learning.

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insideBIGDATA

SEPTEMBER 12, 2023

In this contributed article, CF Su, VP of ML, Hyperscience, agrees that regulation is needed, but as opposed to sweeping oversight, he supports regulating specific uses of AI, such as licensing the business applications of AI models rather than requiring licenses for creating them.

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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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insideBIGDATA

NOVEMBER 20, 2023

In this contributed article, Lucas Bonatto, Director of Engineering for AI and ML at Semantix, discusses how generative AI applications extend from physiotherapists using text-to-video tools demonstrating patient recovery exercises to coding Q&As that decrease network language complexity.

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insideBIGDATA

SEPTEMBER 27, 2023

In this contributed article, April Miller, senior IT and cybersecurity writer for ReHack Magazine, discusses how MLOps — with its emphasis on the end-to-end life cycle of ML models — needs to prioritize automated, AI-driven model monitoring.

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insideBIGDATA

AUGUST 8, 2023

NetSPI, the global leader in offensive security, today debuted its ML/AI Pentesting solution to bring a more holistic and proactive approach to safeguarding machine learning model implementations.

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ODSC - Open Data Science

APRIL 24, 2023

Be sure to check out his talk, “ Fast Option Pricing Using Deep Learning Methods ,” there! ML Based Option Pricing Since neural networks are universal function approximators they can be used to learn the option prices in various models. Editor’s note: Chakri Cherukuri is a speaker for ODSC Europe 2023 this June.

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insideBIGDATA

JULY 27, 2023

Powering solutions from within both the public platform and its market-leading SaaS product, Stack Overflow for Teams, these AI/ML solutions will offer users a series of new capabilities that will ensure they get to solutions faster within their workflow.

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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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Google Research AI blog

FEBRUARY 7, 2023

The explosion in deep learning a decade ago was catapulted in part by the convergence of new algorithms and architectures, a marked increase in data, and access to greater compute. Top Training efficiency Efficient optimization methods are the cornerstone of modern ML applications and are particularly crucial in large scale settings.

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Dataconomy

MARCH 27, 2023

However, while RPA and ML share some similarities, they differ in functionality, purpose, and the level of human intervention required. In this article, we will explore the similarities and differences between RPA and ML and examine their potential use cases in various industries. What is machine learning (ML)?

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insideBIGDATA

JUNE 10, 2023

In this contributed article, AI, and computer vision enthusiast Melanie Johnson believes that as AutoML continues to progress, it holds the promise of enhancing efficiency and accuracy in machine learning tasks.

Machine Learning 243

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insideBIGDATA

OCTOBER 14, 2023

A recent survey of data scientists and engineers revealed that over half (53.3%) of today’s machine learning (ML) teams are planning on deploying a large language model (LLM) application of their own into production “within the next 12 months” or “as soon as possible”.

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