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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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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Data Science Dojo

OCTOBER 31, 2024

Remote work quickly transitioned from a perk to a necessity, and data science—already digital at heart—was poised for this change. For data scientists, this shift has opened up a global market of remote data science jobs, with top employers now prioritizing skills that allow remote professionals to thrive.

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Dataconomy

FEBRUARY 28, 2023

Deep learning models have emerged as a powerful tool in the field of ML, enabling computers to learn from vast amounts of data and make decisions based on that learning. In this article, we will explore the importance of deep learning models and their applications in various fields.

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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.

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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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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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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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Data Science Dojo

APRIL 3, 2023

Drag and drop tools have revolutionized the way we approach machine learning (ML) workflows. Gone are the days of manually coding every step of the process – now, with drag-and-drop interfaces, streamlining your ML pipeline has become more accessible and efficient than ever before. H2O.ai H2O.ai

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Data Science 101

JANUARY 24, 2020

It was an exciting cloud data science week. Microsoft DP-100 Certification Updated – The Microsoft Data Scientist certification exam has been updated to cover the latest Azure Machine Learning tools. Choosing the Right ML Tools – This video walks thru the Google Machine Learning Decision Pyramid.

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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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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

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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Data Science 101

FEBRUARY 15, 2020

Welcome to Cloud Data Science 7. Announcements around an exciting new open-source deep learning library, a new data challenge and more. Microsoft Releases DeepSpeed for Training very large Models DeepSpeed is a new open-source library for deep learning optimization. Thank You for Reading.

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Data Science 101

NOVEMBER 29, 2019

Sign Up for the Cloud Data Science Newsletter. Amazon Athena and Aurora add support for ML in SQL Queries You can now invoke Machine Learning models right from your SQL Queries. It is based upon this article: Preparing and curating your data for machine learning. We will have to wait and see. Announcements.

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Applied Data Science

AUGUST 2, 2021

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. Team Building the right data science team is complex. Download the free, unabridged version here.

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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.

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Data Science Dojo

SEPTEMBER 8, 2023

We’ll dive into the core concepts of AI, with a special focus on Machine Learning and Deep Learning, highlighting their essential distinctions. Read more –> Data Science vs AI – What is 2023 demand for? Deep Learning, an AI subset, quickly analyzes vast datasets, delivering results in seconds.

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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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insideBIGDATA

SEPTEMBER 18, 2024

Teradata (NYSE:TDC) announced new features and productivity enhancements to ClearScape Analytics, the most powerful, open, and connected AI/ML capabilities in the market today.

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insideBIGDATA

FEBRUARY 19, 2024

a leading provider of the popular source code for artificial intelligence (AI), machine learning (ML) and data science platform, to empower Lenovo’s high performance data science workstations. Lenovo™ announced a strategic partnership with Anaconda® Inc.,

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insideBIGDATA

MARCH 4, 2024

Hammerspace, the company orchestrating the Next Data Cycle, unveiled the high-performance NAS architecture needed to address the requirements of broad-based enterprise AI, machine learning and deep learning (AI/ML/DL) initiatives and the widespread rise of GPU computing both on-premises and in the cloud.

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Applied Data Science

OCTOBER 25, 2021

How I learned to stop worrying and love the field This blog covers all the core themes to starting your career in data science: ? Based on current predictions (enabled by data science), this trend will continue, as more and more industries shift towards data-driven and automated solutions.

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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

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.

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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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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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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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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

FEBRUARY 9, 2024

SQream, the scalable GPU data analytics platform, announced a strategic integration with Dataiku, the platform for everyday AI. This collaboration brings together SQream’s best-in-class big data analytics technology with Dataiku’s flexible and scalable data science and machine learning (ML) platform.

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Data Science Dojo

MAY 18, 2023

In March 2023, we had the pleasure of hosting the first edition of the Future of Data and AI conference – an incredible tech extravaganza that drew over 10,000 attendees, featured 30+ industry experts as speakers, and offered 20 engaging panels and tutorials led by the talented team at Data Science Dojo.

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databricks

APRIL 20, 2023

Background and Motives Deep Learning algorithms are complex and time consuming to train, but are quickly moving from the lab to production because.

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Data Science Dojo

JUNE 1, 2023

Machine Learning with Python by Andrew Ng This is an intermediate-level course that teaches you more advanced machine-learning concepts using Python. The course covers topics such as deep learning and reinforcement learning. The course covers topics such as data wrangling, feature engineering, and model selection.

Machine Learning 195

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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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