Data Science Dojo

JANUARY 13, 2023

In this blog, we will share the list of leading data science conferences across the world to be held in 2023. This will help you to learn and grow your career in data science, AI and machine learning. Top data science conferences 2023 in different regions of the world 1.

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insideBIGDATA

MARCH 18, 2024

Today at NVIDIA GTC, Hewlett Packard Enterprise (NYSE: HPE) announced updates to one of the industry’s most comprehensive AI-native portfolios to advance the operationalization of generative AI (GenAI), deep learning, and machine learning (ML) applications.

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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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Towards AI

APRIL 18, 2025

This makes it easier to move ML projects between development, cloud, or production environments without worrying about differences in setup. These include tools for development environments, deep learning frameworks, machine learning lifecycle management, workflow orchestration, and large language models. TensorFlow 6.

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Data Science Dojo

FEBRUARY 13, 2025

Data Security & Ethics Understand the challenges of AI governance, ethical AI, and data privacy compliance in an evolving regulatory landscape. Hence, for anyone working in data science, AI, or business intelligence, Big Data & AI World 2025 is an essential event.

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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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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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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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Data Science Dojo

MARCH 31, 2023

Artificial intelligence (AI), machine learning (ML), and data science have become some of the most significant topics of discussion in today’s technological era. Raja, the founder and chief data scientist at data science dojo, has been working in data science before it was even called data science.

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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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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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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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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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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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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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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

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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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

MAY 23, 2023

is a company that provides artificial intelligence (AI) and machine learning (ML) platforms and solutions. The company was founded in 2014 by a group of engineers and scientists who were passionate about making AI more accessible to everyone.

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DrivenData Labs

DECEMBER 11, 2024

Looking back ¶ When we started DrivenData in 2014, the application of data science for social good was in its infancy. There was rapidly growing demand for data science skills at companies like Netflix and Amazon. Weve run 75+ data science competitions awarding more than $4.7

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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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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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