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

SEPTEMBER 10, 2023

Last Updated on September 11, 2023 by Editorial Team Author(s): Mariya Mansurova Originally published on Towards AI. 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. You can find the full example on Kaggle.

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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. The most revolutionary technology that enables this is called machine learning. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI.

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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. The most revolutionary technology that enables this is called machine learning. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI.

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Flipboard

FEBRUARY 28, 2023

Despite recording significant growth since the year’s turn, Bitcoin (BTC) still had a challenging few weeks recently, and cryptocurrency traders and …

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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. The reasons for this range from wrongly connected model components to misconfigured optimizers.

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Towards AI

AUGUST 21, 2023

Last Updated on August 22, 2023 by Editorial Team Author(s): AlishaS Originally published on Towards AI. Machine Learning vs. AI vs. Deep Learning vs. Neural Networks: What’s the Difference? Machine Learning (ML): Next, machine learning takes the spotlight.

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ODSC - Open Data Science

APRIL 24, 2023

Editor’s note: Chakri Cherukuri is a speaker for ODSC Europe 2023 this June. Be sure to check out his talk, “ Fast Option Pricing Using Deep Learning Methods ,” there! Use the labeled training dataset to train deep neural networks Use the trained deep learning models as fast pricers Steps 1, 2, and 3 can be performed offline.

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Towards AI

NOVEMBER 19, 2023

Last Updated on November 20, 2023 by Editorial Team Author(s): Mainak Mitra Originally published on Towards AI. Photo by Pietro Jeng on Unsplash Deep learning is a type of machine learning that utilizes layered neural networks to help computers learn from large amounts of data in an automated way, much like humans do.

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Towards AI

MARCH 5, 2023

Last Updated on March 5, 2023 by Editorial Team Source: Image generated with generative AI via Midjourney. 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. Well, search no further! Let’s get started!

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Heartbeat

AUGUST 1, 2023

A World of Computer Vision Outside of Deep Learning Photo by Museums Victoria on Unsplash IBM defines computer vision as “a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs [1].”

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PyImageSearch

JANUARY 30, 2023

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. As soon as the system adapts to human wants, it automates the learning process accordingly.

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Towards AI

APRIL 22, 2024

Algorithmic Bias in Facial Recognition Technologies Exploring how facial recognition systems can perpetuate biases. While FR was limited by a lack of computational power and algorithmic accuracy back then, we have since seen huge innovative improvements in the field.

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Heartbeat

NOVEMBER 21, 2023

Computer vision, the field dedicated to enabling machines to perceive and understand visual data, has witnessed a monumental shift in recent years with the advent of deep learning. Photo by charlesdeluvio on Unsplash Welcome to a journey through the advancements and applications of deep learning in computer vision.

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Pickl AI

JUNE 5, 2023

The world of AI, ML and Deep learning continues to evolve and expand. With the significant rise in its application of Deep Learning and allied technologies, across the business spectrum, it has laid the foundation stone for a new future. The growth in Deep Learning applications in the real world will boost its market.

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Towards AI

FEBRUARY 13, 2023

Last Updated on February 13, 2023 by Editorial Team Author(s): SPX Originally published on Towards AI. Introduction Continue reading on Towards AI Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas.

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Towards AI

AUGUST 29, 2023

Last Updated on August 31, 2023 by Editorial Team Author(s): Luiz doleron Originally published on Towards AI. This story explores automatic differentiation, a feature of modern Deep Learning frameworks that automatically calculates the parameter gradients during the training loop. What is the relevance of autodiff?

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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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Data Science Dojo

JULY 4, 2023

With a foundation in math, statistics, and programming, learning Generative AI requires dedication and patience as the technology evolves. Generative AI harnesses deep learning algorithms to generate human-like data in response to user input. Back to basics: What is Generative AI?

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Hacker News

JUNE 3, 2023

A deep learning algorithm and metasurface combine to recreate a high-resolution image of the famous portrait. WASHINGTON, May 30, 2023 – Holograms are often displayed in science […]

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PyImageSearch

JANUARY 2, 2023

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

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Data Science Dojo

JUNE 26, 2023

In order to learn the nuances of language and to respond coherently and pertinently, deep learning algorithms are used along with a large amount of data. The BERT algorithm has been trained on 3.3 A prompt is given to GPT-3 and it produces very accurate human-like text output based on deep learning.

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ODSC - Open Data Science

APRIL 20, 2023

Deep Learning Approaches to Sentiment Analysis (with spaCy!) In this post, we’ll be demonstrating two deep learning approaches to sentiment analysis, specifically using spaCy. Six Core Competencies Data Scientists Need to Succeed in Their Careers Data scientists need to know more than just algorithms to succeed.

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Dataconomy

OCTOBER 2, 2024

cum laude in machine learning from the University of Amsterdam in 2017. His academic work, particularly in deep learning and generative models, has had a profound impact on the AI community. In 2015, Kingma co-founded OpenAI, a leading research organization in AI, where he led the algorithms team. He earned his Ph.D.

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Towards AI

JULY 17, 2023

Last Updated on July 17, 2023 by Editorial Team Author(s): Luiz doleron Originally published on Towards AI. In machine learning, we usually model problems as functions. Let’s have fun by implementing Cost Functions in pure C++ and Eigen. In this context, Cost Functions play a central role.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others. NLP Skills for 2023 These skills are platform agnostic, meaning that employers are looking for specific skillsets, expertise, and workflows.

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Data Science Dojo

JULY 18, 2023

They utilize deep learning algorithms and extensive data to grasp language nuances and produce coherent responses. It leverages machine learning algorithms trained on an extensive dataset, surpassing BERT in terms of training capacity.

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Data Science Dojo

JULY 18, 2023

They utilize deep learning algorithms and extensive data to grasp language nuances and produce coherent responses. It leverages machine learning algorithms trained on an extensive dataset, surpassing BERT in terms of training capacity.

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Data Science Dojo

JULY 2, 2023

Transformers, a type of Deep Learning model, have played a crucial role in the rise of LLMs. By analyzing diverse data sources and incorporating advanced machine learning algorithms, LLMs enable more informed decision-making, minimizing potential risks.

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AssemblyAI

MARCH 21, 2023

What are the actual advantages of Graph Machine Learning? And why do Graph Neural Networks matter in 2023? This suggests a potential shift of perspective: graph-structured data provides a general and flexible framework for describing and analyzing any possible set of entities and their mutual interactions.

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PyImageSearch

JUNE 12, 2023

Home Table of Contents DETR Breakdown Part 2: Methodologies and Algorithms The DETR Model ?️ Summary Citation Information DETR Breakdown Part 2: Methodologies and Algorithms In this tutorial, we’ll learn about the methodologies applied in DETR. 2020) propose the following algorithm. Optimal Bipartite Matching ?

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ODSC - Open Data Science

APRIL 18, 2023

In particular, finance has seen some of the strongest benefits from automation and analysis thanks to AI and machine learning. Now, we’d like to go a bit deeper and specifically examine the role of machine learning in algorithmic trading, including portfolio optimization and pattern recognition.

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The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. Open-source tools have gained significant traction due to their flexibility, community support, and adaptability to various workflows.

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ODSC - Open Data Science

FEBRUARY 2, 2023

The role of a data scientist is in demand and 2023 will be no exception. To get a better grip on those changes we reviewed over 25,000 data scientist job descriptions from that past year to find out what employers are looking for in 2023. This will lead to algorithm development for any machine or deep learning processes.

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Data Science Dojo

JULY 2, 2024

Adaptive AI has risen as a transformational technological concept over the years, leading Gartner to name it as a top strategic tech trend for 2023. It is a form of AI that learns, adapts, and improves as it encounters changes, both in data and the environment. It is a step ahead within the realm of artificial intelligence (AI).

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Towards AI

NOVEMBER 5, 2023

Last Updated on November 5, 2023 by Editorial Team Author(s): Euclidean AI Originally published on Towards AI. Source: [link] This article describes a solution for a generative AI resume screener that got us 3rd place at DataRobot & AWS Hackathon 2023.

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Dataconomy

JUNE 29, 2023

Python machine learning packages have emerged as the go-to choice for implementing and working with machine learning algorithms. These libraries, with their rich functionalities and comprehensive toolsets, have become the backbone of data science and machine learning practices.

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