Analytics Vidhya

NOVEMBER 6, 2020

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.

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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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ML Engineer Data Scientist Deep Learning Data Science 337

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.

ML 188

ML Deep Learning Machine Learning Data Science 188

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 data science? What is machine learning?

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Data Science Machine Learning Big Data Data Mining 175

IBM Journey to AI blog

AUGUST 11, 2023

Both computer scientists and business leaders have taken note of the potential of the data. Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. MLOps is the next evolution of data analysis and deep learning. What is MLOps?

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Data Science DevOps Machine Learning Data Scientist 170

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.

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Analytics Vidhya

FEBRUARY 2, 2022

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

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DevOps Software Development Machine Learning Deep Learning 271

ODSC - Open Data Science

MARCH 12, 2025

The field of data science has evolved dramatically over the past several years, driven by technological breakthroughs, industry demands, and shifting priorities within the community. 20212024: Interest declined as deep learning and pre-trained models took over, automating many tasks previously handled by classical ML techniques.

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Analytics Vidhya

JANUARY 21, 2022

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

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Data Science ML Deep Learning NLP 400

Analytics Vidhya

FEBRUARY 16, 2023

Anomaly detection can assist in seeing surges in partially completed or fully completed transactions in sectors like e-commerce, marketing, and others, allowing for aligning to shifts in demand or spotting […] The post Anomaly Detection in ECG Signals: Identifying Abnormal Heart Patterns Using Deep Learning appeared first on Analytics Vidhya. (..)

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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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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. Visit the session catalog to learn about all our generative AI and ML sessions.

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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

OCTOBER 10, 2024

In today’s tech-driven world, data science and machine learning are often used interchangeably. This article explores the differences between data science vs. machine learning , highlighting their key functions, roles, and applications. What is Data Science? What is Machine Learning?

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Data Science Machine Learning Data Scientist ML Engineer 106

ODSC - Open Data Science

MARCH 12, 2025

As a machine learning (ML) practitioner, youve probably encountered the inevitable request: Can we do something with AI? Stephanie Kirmer, Senior Machine Learning Engineer at DataGrail, addresses this challenge in her talk, Just Do Something with AI: Bridging the Business Communication Gap for ML Practitioners.

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ML Machine Learning AI AI 52

Becoming Human

JANUARY 23, 2023

Data Science You heard this term most of the time all over the internet, as well this is the most concerning topic for newbies who want to enter the world of data but don’t know the actual meaning of it. I’m not saying those are incorrect or wrong even though every article has its mindset behind the term ‘ Data Science ’.

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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. However, we already have a huge variety of different techniques and tools. This article will help you start your journey into the world of computer […].

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Computer Vision Data Science ML Deep Learning 320

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). Programming Languages: Python (most widely used in AI/ML) R, Java, or C++ (optional but useful) 2.

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AI Engineer Generative AI Neural Network BERT 98

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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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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Marktechpost

JULY 5, 2024

In solving real-world data science problems, model selection is crucial. Tree ensemble models like XGBoost are traditionally favored for classification and regression for tabular data. Despite their success, deep learning models have recently emerged, claiming superior performance on certain tabular datasets.

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Deep Learning Neural Network Algorithm Machine Learning 107

NYU Center for Data Science

JULY 18, 2023

Read about the research groups at CDS working to advance data science and machine learning! CDS includes a range of research groups that bring together NYU professors, faculty fellows, and PhD students working at various intersections of data science, machine learning, and artificial intelligence.

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Towards AI

JANUARY 3, 2025

A ranking of AI and Data Science publications based on combined Medium and social media followers This member-only story is on us. To rank the publications, I collected data on their internal Medium followers as well as their external social media followers. Upgrade to access all of Medium.

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Data Science Machine Learning Deep Learning Artificial Intelligence 105

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.

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Flipboard

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. Data scientists and ML engineers require capable tooling and sufficient compute for their work.

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ML DevOps Data Scientist ML Engineer 152

ODSC - Open Data Science

FEBRUARY 2, 2023

Here’s what we found for both skills and platforms that are in demand for data scientist jobs. Data Science Skills and Competencies Aside from knowing particular frameworks and languages, there are various topics and competencies that any data scientist should know. Joking aside, this does infer particular skills.

Data Science 98

Data Science Data Scientist Big Data Machine Learning 98

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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Deep Learning Neural Network Data Science Software Development 90

Unite.AI

NOVEMBER 6, 2023

Moreover, Multimodal AI techniques have emerged, capable of processing multiple data modalities, i.e., text, images, audio, and videos simultaneously. With these advancements, it’s natural to wonder: Are we approaching the end of traditional machine learning (ML)? What is Traditional Machine Learning?

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ODSC - Open Data Science

APRIL 12, 2023

In the weeks since we announced our first group of partners for ODSC East 2023 , we’ve added even more industry-leading organizations and startups helping to shape the future of AI and data science for enterprise. It currently offers services in a wide range of industries, from life sciences to wholesale distribution.

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Data Science Deep Learning DevOps Software Development 97

NYU Center for Data Science

NOVEMBER 15, 2023

Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce Harrop, Benjamin Hillman, Andrea Jenney, Savannah L.

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ODSC - Open Data Science

APRIL 17, 2023

Source Purpose of Using DevSecOps in Traditional and ML Applications The DevSecOps practices are different in traditional and ML applications as each comes with different challenges. The characteristics which we saw for DevSecOps for traditional applications also apply to ML-based applications.

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Data Science DevOps Deep Learning Automation 97

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 176

Towards AI

JANUARY 9, 2024

In other words, we all want to get directly into Deep Learning. But this is really a mistake if you want to take studying Machine Learning seriously and get a job in AI. Machine Learning fundamentals are not 100% the same as Deep Learning fundamentals and are perhaps even more important.

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ML Neural Network Machine Learning Deep Learning 119

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.

Machine Learning 114

Machine Learning ML Neural Network Deep Learning 114

ODSC - Open Data Science

FEBRUARY 28, 2023

These organizations are shaping the future of the AI and data science industries with their innovative products and services. To deliver on their commitment to enhancing human ingenuity, SAS’s ML toolkit focuses on automation and more to provide smarter decision-making. Check them out below.

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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. The post Create Natural Language Processing-based Apps for iOS in Minutes!

Natural Language Processing 171

Natural Language Processing ML NLP Deep Learning 171

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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NLP Machine Learning ML Data Science 98