Data Science Dojo

SEPTEMBER 11, 2023

From virtual assistants like Siri and Alexa to personalized recommendations on streaming platforms, chatbots, and language translation services, language models surely are the engines that power it all. First Generation: Early language models used simple statistical techniques like n-grams to predict words based on the previous ones.

Natural Language Processing 195

Natural Language Processing Supervised Learning Algorithm Deep Learning 195

Data Science Dojo

OCTOBER 10, 2023

They are often seen at these events, absorbing the latest in AI, which eventually led to their groundbreaking research in neural networks. Little did they know that a casual conversation during a networking session would lead to a collaborative project that transformed their career.

AI 243

AI AI Artificial Intelligence Artificial Intelligence 243

Pickl AI

JULY 14, 2023

Artificial Intelligence has been able to gain immense momentum today and is transforming every industry in the world. Knowledge-Based Systems and Expert Systems (1960s-1970s): During this period, AI researchers focused on developing rule-based systems and expert systems. Artificial Intelligence and the Future of Humans 1.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

ODSC - Open Data Science

MARCH 11, 2024

Google’s DeepMind is elbow-deep in some incredible pieces of research and AI innovation. So let’s take a quick dive and see what the team is up to and hopefully get an idea of what the future might hold for the prestigious research team. WaveNet seeks to bridge the gap in vocalized communication through AI.

Algorithm 52

Algorithm Data Science Data Engineering Data Engineer 52

Applied Data Science

DECEMBER 23, 2022

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. To cover as many breakthroughs as possible we have broken down our review in four parts: ? Who should I follow?

AI 130

AI AI Data Science Deep Learning 130

NYU Center for Data Science

JULY 21, 2023

The Minds, Brains, & Machines (MBM) initiative at NYU , sponsored and supported by the Center for Data Science, was created to stand as a world-class nexus for this kind of research, doing its part to facilitate what may be, in an unprecedented era of AI explosion, currently the world’s most important cross-disciplinary conversation.

Data Science 85

Data Science Artificial Intelligence Artificial Intelligence Deep Learning 85

Data Science Dojo

SEPTEMBER 28, 2023

Neural wonders: How LLMs master language at scale At their core, LLMs are intricate neural networks engineered to comprehend and craft human language on an extraordinary scale. This training hinges on countless neural network parameter adjustments, fine-tuning their knack for spotting patterns and associations within the data.

AI 221

AI AI Algorithm Artificial Intelligence 221

Flipboard

FEBRUARY 6, 2023

In high school, he and his friends wired up the school’s computers for machine learning algorithm training, an experience that planted the seeds for Steinberger’s computer science degree and his job at Meta as an AI researcher. This would be extraordinarily useful for companies and developers.” The short-term goal (i.e.,

AI 123

AI AI Computer Science Computer Science 123

Heartbeat

JUNE 23, 2023

However, with the advent of deep learning, researchers have explored various neural network architectures to model and forecast time series data. Recurrent neural networks (RNNs), are a significant deep learning approach used in time series analysis . Real-world applications of deep learning in time series analysis are numerous.

Deep Learning 52

Deep Learning Deep Learning Python Data Scientist 52

ODSC - Open Data Science

FEBRUARY 17, 2023

Knowing how spaCy works means little if you don’t know how to apply core NLP skills like transformers, classification, linguistics, question answering, sentiment analysis, topic modeling, machine translation, speech recognition, named entity recognition, and others. Research NLP requires staying current with the latest papers and models.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Heartbeat

FEBRUARY 7, 2023

Language models can be divided into two categories: Statistical language models Neural language models Statistical Language Models Based on probability theory, statistical language models calculate the likelihood of a word sequence using statistical methods.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Heartbeat

OCTOBER 18, 2023

In this article, we embark on a journey to explore the transformative potential of deep learning in revolutionizing recommender systems. However, deep learning has opened new horizons, allowing recommendation engines to unravel intricate patterns, uncover latent preferences, and provide accurate suggestions at scale.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

ODSC - Open Data Science

JANUARY 29, 2024

The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AI ‘Prompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.” It turns out that the role of a Prompt Engineer is not simply typing questions into a prompt window.

Machine Learning 52

Machine Learning Machine Learning Data Science Natural Language Processing 52

Mlearning.ai

APRIL 17, 2023

In this research paper , ensemble learning is presented as a solution to the challenge of false positives in fraud detection. For a brief overview of these models, please see below: Data The researcher of the paper used the same credit card fraud transaction dataset from Kaggle, which I had used in the previous code reconstruction article.

Decision Trees 52

Decision Trees Algorithm Data Analyst Python 52

Dataconomy

APRIL 12, 2023

By incorporating insights from cognitive science, AI is becoming more advanced and capable, with the potential to transform many aspects of our lives. Artificial intelligence, or AI, is a field of computer science and engineering that focuses on creating machines and systems that can perform tasks that typically require human intelligence.

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence AI AI 91

AWS Machine Learning Blog

JUNE 22, 2023

The final ML model combines CNN and Transformer, which are the state-of-the-art neural network architectures for modeling sequential machine log data. Data preprocessing and feature engineering In this section, we discuss our methods for data preparation and feature engineering.

AWS 84

AWS ML ML Machine Learning 84

Towards AI

JANUARY 10, 2024

Every day, new research and new information flood our technical newsletter subscriptions and our favorite technical blogs. The building of foundation models is based on deep neural networks and self-supervised learning techniques. For example, ChatGPT is fine-tuned over the base Generative Pre-trained Transformer (GPT) model.

Machine Learning 105

Machine Learning Machine Learning Exploratory Data Analysis Supervised Learning 105

Data Science 101

MARCH 24, 2020

Quantifying the Carbon Emissions of Machine Learning Training a neural network can take a lot of computer processing power. Software Engineering for Machine Learning: a case study This paper from Microsoft Research discusses the issues with building machine learning into software products. Original BERT paper can be found here.

Data Science 87

Data Science Machine Learning Machine Learning Natural Language Processing 87

Google Research AI blog

FEBRUARY 23, 2023

Posted by Greg Corrado, Distinguished Scientist, and Yossi Matias, VP Engineering and Research, Google Research (This is Part 8 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) We’ve seen this play out first hand.

ML 104

ML ML Deep Learning Deep Learning 104

Women in Big Data

DECEMBER 13, 2023

With a robust educational foundation in Computer Science, Mathematics, and Statistics, she brings over 12 years of expertise across Research, Academia, and Industry. NLP Scientist, Linguist, NLP Data Scientist, NLP ML Engineer, Conversational AI Developer, NLP Consultant, Prompt Engineer to name a few.

Natural Language Processing 52

Natural Language Processing Big Data Big Data Computer Science 52

Data Science Dojo

OCTOBER 1, 2023

This is especially important for large neural network models like BERT, GPT, and similar ones. Resource efficiency: Training deep neural networks requires substantial computational resources. In recent days, researchers have introduced an extension of LoRA known as QLoRA.

Machine Learning 195

Machine Learning Machine Learning AI AI 195

ODSC - Open Data Science

SEPTEMBER 27, 2023

You’ll discuss tensors, neural networks, GPUs and much more. Human-Centered AI Peter Norvig | Engineering Director at Google | Education Fellow at Stanford Institute for Human-Centered Artificial Intelligence (HAI) We have seen amazing technical progress in AI applications in recent years. Register here!

Machine Learning 52

Machine Learning Machine Learning Data Scientist Database 52

Heartbeat

JULY 6, 2023

Object detection is typically achieved through the use of deep learning models, particularly Convolutional Neural Networks (CNNs). In this article, you will learn about object detection through the SWIN Transformer. What is the Swin Transformer? What is the Swin Transformer? Learn more from Uber’s Olcay Cirit.

Deep Learning 59

Deep Learning Deep Learning Natural Language Processing Supervised Learning 59

Heartbeat

OCTOBER 25, 2023

Empowering Data Scientists and Machine Learning Engineers in Advancing Biological Research Image from European Bioinformatics Institute Introduction: In biological research, the fusion of biology, computer science, and statistics has given birth to an exciting field called bioinformatics.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Algorithm 52

ODSC - Open Data Science

JUNE 6, 2023

A Walkthrough of Low-Code Deep Learning with KNIME Roberto Cadili | Data Scientist | Knime and Emilio Silvestri | Junior Data Scientist | Knime This session will explore the evolution of deep learning architectures and how KNIME Analytics Platform is naturally designed to keep up with these transformations.

Deep Learning 52

Deep Learning Deep Learning AI AI 52

Mlearning.ai

MAY 10, 2023

Additionally, we’ll highlight opportunities for engineers to improve AI-generated hand drawings using open-source projects and novel techniques. GANs consist of two neural networks, a generator and a discriminator, which compete against each other. AI Algorithms and Hand Drawing What does it mean to “draw” for an AI ?

AI 98

AI AI Algorithm Artificial Intelligence 98

Dataconomy

JUNE 15, 2023

Its applications span diverse domains, from healthcare to transportation, transforming the way we live and work. Yan Shi, an engineer, and inventor from the 3rd century BC, is said to have crafted a mechanical figure that could mimic human movements and respond to external stimuli.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning 103

Towards AI

JANUARY 30, 2024

Code LoRA From Scratch With PyTorch Low-Rank Adaptation (LoRA) is an efficient finetuning approach for LLMs, which optimizes a subset of low-rank matrices instead of the complete set of neural network parameters. Find the research paper in the papers of the week section. This post shares four areas where […]

AI 89

AI AI Machine Learning Machine Learning 89

Heartbeat

APRIL 4, 2023

One of the fascinating applications of AI is Neural Style Transfer (NST). This comprehensive article will explain the fundamentals of neural style transfer (NST), provide an overview of the techniques used for performing NST, and discuss some best use cases for the application. Let’s dive in!

Deep Learning 52

Deep Learning Deep Learning Algorithm ML 52

Snorkel AI

JUNE 29, 2023

Researchers have built most foundation models on top of the popular transformers architecture. This neural architecture, originally introduced in the context of machine translation [1], relies on the computationally-expensive attention operation. as fast at inference time compared to transformers-based models.

AI 52

AI AI 52

Snorkel AI

JUNE 29, 2023

Researchers have built most foundation models on top of the popular transformers architecture. This neural architecture, originally introduced in the context of machine translation [1], relies on the computationally-expensive attention operation. as fast at inference time compared to transformers-based models.

AI 52

AI AI 52

Mlearning.ai

MAY 28, 2023

In this case study you are hired as a Machine Learning Engineer from a government agency. For further research maybe “Location of Institute” and “Institute Name” might contain some info. Finally, the transformed numerical and categorical variables were concatenated back together to form the updated dataset. Let’s do binning.

Decision Trees 52

Decision Trees Machine Learning Machine Learning Algorithm 52

Dataconomy

MAY 2, 2023

What do machine learning engineers do? They are the architects of the intelligent systems that are transforming the world around us. Machine learning engineers are the visionaries of our time, creating the intelligent systems that will shape the future for generations to come. What do machine learning engineers do?

ML 110

ML ML Machine Learning Machine Learning 110

ODSC - Open Data Science

JUNE 15, 2023

Neuralangelo — NVIDIA’s Research for 3D Reconstruction Using Neural Networks NVIDIA Research has introduced Neuralangelo, an advanced AI model that utilizes neural networks for 3D reconstruction.

Data Scientist 52

Data Scientist Data Science AI AI 52

Flipboard

JULY 28, 2023

As AI becomes more advanced and potentially more dangerous, is it better for society if the code is under wraps — limited to the staff of a small number of companies — or should it be shared with the public so that a wider group of people can have a hand in shaping the transformative technology?

AI 123

AI AI Data Science Computer Science 123

Data Science 101

MARCH 24, 2020

Quantifying the Carbon Emissions of Machine Learning Training a neural network can take a lot of computer processing power. Software Engineering for Machine Learning: a case study This paper from Microsoft Research discusses the issues with building machine learning into software products. Original BERT paper can be found here.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Heartbeat

AUGUST 1, 2023

I stumbled upon a simple question, what was there before neural nets could efficiently be run on the average computer? Surely research in this field yielded results that could be used without requiring neural networks. Scale-Invariant Feature Transform (SIFT) This is an algorithm created by David Lowe in 1999.

Deep Learning 52

Deep Learning Deep Learning Algorithm Support Vector Machines 52