AWS Machine Learning Blog

MAY 9, 2024

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits.

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Dataconomy

FEBRUARY 6, 2024

With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector. Why does AI/ML deserve to be the future of the modern world? Let’s understand the crucial role of AI/ML in the tech industry.

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Analytics Vidhya

MAY 3, 2023

The dashboard is driven by cutting-edge machine learning algorithms and made for its Apigee API management service. Additionally, the customers will be able to immediately identify illicit activity, problematic bots, and misconfigured API security using machine learning algorithms.

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Analytics Vidhya

APRIL 4, 2022

Introduction One of the key challenges in Machine Learning Model is the explainability of the ML Model that we are building. In general, ML Model is a Black Box. As Data scientists, we may understand the algorithm & statistical methods used behind the scene. […].

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Analytics Vidhya

MARCH 28, 2024

Machine learning (ML) can seem complex, but what if you could train a model without writing any code? This guide unlocks the power of ML for everyone by demonstrating how to train a ML model with no code.

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Analytics Vidhya

FEBRUARY 21, 2022

AI/ML has become an integral part of research and innovations. The main objective of the AI system is to solve real-world problems where […]. The post Building ML Model in AWS Sagemaker appeared first on Analytics Vidhya.

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Towards AI

SEPTEMBER 5, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! Learn AI Together Community section! Featured Community post from the Discord Aman_kumawat_41063 has created a GitHub repository for applying some basic ML algorithms. AI poll of the week!

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IBM Data Science in Practice

JANUARY 9, 2024

One groundbreaking technology that has emerged as a game-changer is asset performance management (APM) artificial intelligence (AI). However, embarking on the journey of implementing artificial intelligence (AI) in your asset performance management strategy can be both exciting and daunting.

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Data Science Dojo

SEPTEMBER 25, 2024

In the modern media landscape, artificial intelligence (AI) is becoming a crucial component for different mediums of production. This era of media production with AI will transform the world of entertainment and content creation. Thus, media personnel must adopt AI to stay relevant in today’s competitive media industry.

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Artificial intelligence or AI as it is commonly called is a vast field of study that deals with empowering computers to be “Intelligent”.

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Artificial intelligence or AI as it is commonly called is a vast field of study that deals with empowering computers to be “Intelligent”.

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Dataconomy

AUGUST 13, 2024

The Rise of Algorithmic FX Trading One of the most significant applications of data science in FX trading is the development of algorithmic trading strategies. “Proprietary trading firms and investment banks are at the forefront of data science and algorithmic trading adoption in the FX market,” Grishin said.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Fifth, we’ll showcase various generative AI use cases across industries.

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Analytics Vidhya

MARCH 28, 2023

Email automation is a game-changer for businesses, but with AI, it’s becoming even more powerful! AI-powered email automation tools use ML algorithms to analyze data and optimize campaigns, delivering personalized content to each recipient.

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Dataconomy

JUNE 20, 2022

Algorithms with predictions is a new approach that takes advantage of data insights that machine learning technology may provide into data that conventional methods may not handle. Algorithms are the basic tools of modern computing.

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Analytics Vidhya

JUNE 6, 2023

Researchers have recently made groundbreaking progress in the field of machine learning (ML) by developing methods that accurately identify predictors associated with fetal heart rate changes in pregnant patients undergoing neuraxial analgesia.

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Analytics Vidhya

FEBRUARY 1, 2023

Introduction Artificial Intelligence (AI) and Machine Learning (ML) have rapidly become some of the most important technologies in the field of cybersecurity. With the increasing amount of data and sophisticated cyber threats, AI and ML are being used to strengthen the security of organizations and individuals.

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Analytics Vidhya

MARCH 28, 2023

AI-driven keyword research has become indispensable for bloggers looking to grow their audience and boost their online presence. By leveraging advanced ML algorithms, AI tools provide data-driven insights into user search behavior, revealing high-potential keywords to target. appeared first on Analytics Vidhya.

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ML @ CMU

MARCH 31, 2023

Our work further motivates novel directions for developing and evaluating tools to support human-ML interactions. Model explanations have been touted as crucial information to facilitate human-ML interactions in many real-world applications where end users make decisions informed by ML predictions.

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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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AWS Machine Learning Blog

NOVEMBER 7, 2024

The markdown pricing algorithmic solution Zalando relies on is a forecast-then-optimize approach (Kunz et al. Operating such large-scale forecasting requires resilient, reusable, reproducible, and automated machine learning (ML) workflows with fast experimentation and continuous improvements. 2023 and Streeck et al.

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Dataconomy

SEPTEMBER 29, 2023

Artificial intelligence (AI) and machine learning (ML) have revolutionized several sectors, including startups. AI and machine learning can transform organizations’ functions by using tools like chatbots and predictive analytics.

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Analytics Vidhya

APRIL 26, 2023

AI-driven keyword research has become indispensable for bloggers looking to grow their audience and boost their online presence. By leveraging advanced ML algorithms, AI tools provide data-driven insights into user search behavior, revealing high-potential keywords to target. appeared first on Analytics Vidhya.

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Hacker News

NOVEMBER 19, 2024

About the Role TigerEye is an AI Analyst for everyone in go-to-market. We track the changes in a company’s business to deliver instant, accurate answers to complex questions through a simple app.

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Precisely

OCTOBER 8, 2024

Data enrichment improves your AI/ML outcomes: boosting accuracy, performance, and utility across all applications throughout your business. Overall business benefits of powering your AI/ML initiatives with data enrichment include reduced costs, increased trust, and faster, more confident decision-making. The problem?

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Data Science Dojo

SEPTEMBER 8, 2023

Artificial Intelligence (AI) and Predictive Analytics are revolutionizing the way engineers approach their work. This article explores the fascinating applications of AI and Predictive Analytics in the field of engineering. Read more –> Data Science vs AI – What is 2023 demand for?

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IBM Data Science in Practice

MARCH 13, 2023

Specifically, we utilize tools such as the Fairness Compass and AI Fairness 360 to understand the existence of bias and quantify its effects. This blog focuses on pre-processing algorithms. Pre-processing algorithms involve modifying the dataset before training the model to remove or reduce the bias present in the data.

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Chatbots Life

APRIL 27, 2024

For enterprise software, AI and ML are like special effects. By examining how AI and ML in enterprise software can drive business success, we aim to highlight these technologies’ transformational potential and underscore their importance in today’s competitive business environment.

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Data Science Dojo

APRIL 16, 2024

Thus, AI jobs are a promising career choice in today’s world. As AI integrates into everything from healthcare to finance, new professions are emerging, demanding specialists to develop, manage, and maintain these intelligent systems. They consistently rank among the highest-paid AI professionals.

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Heartbeat

MARCH 14, 2024

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionary technologies with the potential to transform the field of engineering. The synergy between engineering and AI/ML creates unprecedented opportunities for efficiency, cost reduction, and innovation. Indium Software Why AI and ML in Engineering?

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Analytics Vidhya

AUGUST 29, 2022

Source: Canva Introduction With breakthroughs in machine learning, it’s common to witness companies using ML algorithm-based solutions to do fashion trend forecasting, spotting winning products, forecasting demand for new products, inventory optimization across the value chain, etc. Adding to this list, companies have […].

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Pickl AI

JANUARY 29, 2024

Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. The collective strength of both forms the groundwork for AI and Data Science, propelling innovation. ’ As we navigate the expansive tech landscape of 2024, understanding the nuances between Data Science vs Machine Learning vs ai.

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Data Science Dojo

JULY 5, 2024

Machine learning models are algorithms designed to identify patterns and make predictions or decisions based on data. Modern businesses are embracing machine learning (ML) models to gain a competitive edge. Since the impact and use of AI are growing drastically, it makes ML models a crucial element for modern businesses.

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Analytics Vidhya

MAY 26, 2022

Explainable AI is no longer just an optional add-on when using ML algorithms for corporate decision making. While there are a lot of techniques that have been developed for supervised algorithms, […]. Introduction The ability to explain decisions is increasingly becoming important across businesses.

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Analytics Vidhya

MARCH 29, 2023

Introduction Intelligent document processing (IDP) is a technology that uses artificial intelligence (AI) and machine learning (ML) to automatically extract information from unstructured documents such as invoices, receipts, and forms.

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Data Science Dojo

SEPTEMBER 12, 2024

Artificial Intelligence (AI) is revolutionizing many industries and marketing is no exception. AI marketing leverages machine learning and data analytics to optimize and automate marketing efforts. This guide will delve into what AI marketing is, its benefits, challenges, and real-world applications. What is AI Marketing?

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Towards AI

JANUARY 9, 2024

Last Updated on January 10, 2024 by Editorial Team Author(s): Boris Meinardus Originally published on Towards AI. But this is really a mistake if you want to take studying Machine Learning seriously and get a job in AI. You see, AI is just the most general term for decision-making algorithms and does not necessarily mean ML.

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