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. Machine learning The 6 key trends you need to know in 2021 ? Case-studies from real-life business scenarios and advice you can act on.

Data Science 52

Data Science Data Scientist Machine Learning Automation 52

Flipboard

FEBRUARY 28, 2025

In 2021, Eugene Kashuk was looking for a new venture. For example, you need to explain fractions to a kid. Not everything can be covered by logic and algorithms; you need to have that human input to understand what the child really needs. Students were lagging behind , particularly in math. You can use AI to generate images.

AI 122

AI AI Explainability Algorithm 122

Unite.AI

JANUARY 23, 2025

These systems, built on biased datasets and algorithms, fail to reflect the diversity of global populations. Bias in AI typically can be categorized into algorithmic bias and data-driven bias. Algorithmic bias occurs when the logic and rules within an AI model favor specific outcomes or populations.

Algorithm 111

Algorithm AI Developer AI Development AI 111

AWS Machine Learning Blog

NOVEMBER 26, 2024

We also ask it to extend the table until 2025, and because the data is only until 2021, the model will have to extrapolate the values. We use the following prompt to read this diagram: The steps in this diagram are explained using numbers 1 to 11. Architects could also use this mechanism to explain the floor plan to customers.

Convolutional Neural Networks 106

Convolutional Neural Networks LLM Metadata Explainability 106

Dlabs.ai

AUGUST 31, 2021

And you can expect them to cover topics as far-flung as business intelligence, machine learning, deep learning, AI algorithms, virtual assistants, and chatbots. Big Data Conference Europe 2021 Date: September 28-30th Place: Online Ticket: 238 – 544 EUR The Big Data Conference covers more than its name suggests.

Computer Vision 52

Computer Vision Big Data Data Science Deep Learning 52

Heartbeat

SEPTEMBER 13, 2023

Source: ResearchGate Explainability refers to the ability to understand and evaluate the decisions and reasoning underlying the predictions from AI models (Castillo, 2021). Explainability techniques aim to reveal the inner workings of AI systems by offering insights into their predictions. What is Explainability?

Machine Learning 52

Machine Learning Explainability Deep Learning Explainable AI 52

Applied Data Science

JANUARY 4, 2022

Hiding your 2021 resolution list under a glass of champagne? To write this post we shook the internet upside down for industry news and research breakthroughs and settled on the following 5 themes, to wrap up 2021 in a neat bow: ? In 2021, the following were added to the ever growing list of Transformer applications.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

Towards AI

NOVEMBER 16, 2024

While much existing literature explains these models from a Markov Chain perspective, alternative perspectives and conditioning methods during generation remain underexplored. Langevin Dynamics Perspective (Noise-conditioned Score Generation)while also explaining their architecture, conditioning mechanisms, and popular modifications.

ML 105

ML Explainability Neural Network Computer Vision 105

IBM Journey to AI blog

AUGUST 1, 2023

Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data. The term “foundation model” was coined by the Stanford Institute for Human-Centered Artificial Intelligence in 2021.

Generative AI 176

Generative AI Data Scientist BERT Machine Learning 176

Flipboard

JUNE 20, 2023

In this guide , we explain the key terms in the field and why they matter. Rather than humans programming computers with specific step-by-step instructions on how to complete a task, in machine learning a human provides the AI with data and asks it to achieve a certain outcome via an algorithm.

Neural Network 156

Neural Network Deep Learning Machine Learning AI 156

AWS Machine Learning Blog

DECEMBER 7, 2023

Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. Calculating courier requirements The first step is to estimate hourly demand for each warehouse, as explained in the Algorithm selection section.

Convolutional Neural Networks 129

Convolutional Neural Networks Algorithm Neural Network Data Science 129

Becoming Human

MARCH 16, 2023

Overhyped or not, investments in AI drug discovery jumped from $450 million in 2014 to a whopping $58 billion in 2021. AI began back in the 1950s as a simple series of “if, then rules” and made its way into healthcare two decades later after more complex algorithms were developed. AI drug discovery is exploding.

Neural Network 139

Neural Network Deep Learning Artificial Intelligence Artificial Intelligence 139

IBM Journey to AI blog

OCTOBER 9, 2023

in 2021 to help lessen the financial impact of the COVID-19 pandemic on citizens. IBM has long argued that AI systems need to be transparent and explainable. Such features will help address many of the same concerns as proposed legislation under consideration to address copyright protection, privacy and algorithmic bias.

Automation 138

Automation AI AI Natural Language Processing 138

ODSC - Open Data Science

FEBRUARY 24, 2023

Algorithm-visualizer GitHub | Website Algorithm Visualizer is an interactive online platform that visualizes algorithms from code. The project was inspired by a group of coders looking to visualize what they’re working on, thus creating a tool that can show algorithms and descriptions of algorithms in real time.

Data Analysis 126

Data Analysis Data Science Business Intelligence Python 126

Unite.AI

SEPTEMBER 20, 2024

By 2021, we had 700 employees, and some of our games became the top downloads in their genre in the US. Algorithm Transfer When we were developing algorithms for robot path planning, as a team, we tapped into our experience from creating similar algorithms in games for character navigation.

Robotics 167

Robotics Automation Artificial Intelligence Artificial Intelligence 167

Towards AI

JULY 24, 2024

TLDR; In this article, we will explain multi-hop retrieval and how it can be leveraged to build RAG systems that require complex reasoning We will showcase the technique by building a Q&A chatbot in the healthcare domain using Indexify, OpenAI, and DSPy. Virat Kohli stepped down in 2021, and 2. Head on to: OpenAI Platform.

Data Ingestion 105

Data Ingestion OpenAI Natural Language Processing Chatbots 105

AWS Machine Learning Blog

DECEMBER 4, 2023

In this post, we explain how we built an end-to-end product category prediction pipeline to help commercial teams by using Amazon SageMaker and AWS Batch , reducing model training duration by 90%. His focus was building machine learning algorithms to simulate nervous network anomalies.

BERT 121

BERT Auto-complete Data Scientist Machine Learning 121

Shreyansh Singh

DECEMBER 17, 2021

We also went through a high-level overview of how Federated Optimization algorithms work. So, as a baseline, the researchers decided to base the Federated Learning training algorithm on SGD as well. Before we get into the maths, I’ll define a few terms - The baseline algorithm, was called FedSGD, short for Federated SGD.

Algorithm 52

Algorithm Deep Learning Explainability 52

Towards AI

AUGUST 16, 2023

Michael Dziedzic on Unsplash I am often asked by prospective clients to explain the artificial intelligence (AI) software process, and I have recently been asked by managers with extensive software development and data science experience who wanted to implement MLOps. Upper Saddle River, NJ: Prentice Hall, ISBN: 978–0–13–604259–4, 2021. [3]

Machine Learning 98

Machine Learning Software Development Data Drift Data Science 98

Towards AI

JULY 24, 2024

TLDR; In this article, we will explain multi-hop retrieval and how it can be leveraged to build RAG systems that require complex reasoning We will showcase the technique by building a Q&A chatbot in the healthcare domain using Indexify, OpenAI, and DSPy. Virat Kohli stepped down in 2021, and 2. Head on to: OpenAI Platform.

Data Ingestion 98

Data Ingestion OpenAI Natural Language Processing Chatbots 98

NYU Center for Data Science

APRIL 17, 2023

“If we compare the relative performance of Silicon Valley’s stock to that of JP Morgan and Bank of America since 1993, its market value rose 250-fold until the market’s peak on Nov 3, 2021, relative to 11-fold for JP Morgan and three-fold for Bank of America,” Vasant explained. So how can algorithms recognize overreactions?

Algorithm 64

Algorithm Categorization Machine Learning Explainability 64

AWS Machine Learning Blog

OCTOBER 9, 2024

The service, which was launched in March 2021, predates several popular AWS offerings that have anomaly detection, such as Amazon OpenSearch , Amazon CloudWatch , AWS Glue Data Quality , Amazon Redshift ML , and Amazon QuickSight. Anomaly detection alarms can be created based on a metric’s expected value. About the Author Nirmal Kumar is Sr.

Data Quality 94

Data Quality ML Machine Learning ETL 94

NVIDIA

JUNE 29, 2023

A developer can use a set of algorithms to perform task planning and motion planning, and then prescribe control signals to carry out those plans. In this situation, a data-driven algorithm generates control signals based on the robot’s simulated sensor signals. Simulation Drives Breakthroughs Simulation solves big problems.

Robotics 139

Robotics Algorithm Neural Network Machine Learning 139

AWS Machine Learning Blog

OCTOBER 5, 2023

Xin Huang is a Senior Applied Scientist for Amazon SageMaker JumpStart and Amazon SageMaker built-in algorithms. He focuses on developing scalable machine learning algorithms. an AI start-up, and worked as the CEO and Chief Scientist in 2019–2021. He founded StylingAI Inc., Before joining the industry, he was the Charles E.

Machine Learning 126

Machine Learning Big Data Deep Learning Natural Language Processing 126

ODSC - Open Data Science

AUGUST 17, 2023

Explaining Different Types of Maintenance There are three main strategies for performing maintenance along any part of the supply chain. Combining Methods Eighty-eight percent of manufacturing industries used preventive maintenance in 2021. Algorithms can then estimate how soon a device may malfunction.

Data Science 98

Data Science AI AI Explainability 98

The Stanford AI Lab Blog

DECEMBER 6, 2021

The thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) 2021 is being hosted virtually from Dec 6th - 14th. Some of the members in our SAIL community also serve as co-organizers of several exciting workshops that will take place on Dec 13-14, so we hope you will check them out! Campbell, Kiah Hardcastle, Isabel I.C.

Neural Network 40

Neural Network Deep Learning Machine Learning NLP 40

ODSC - Open Data Science

DECEMBER 19, 2023

billion in 2021 to $331.2 They need to be able to explain complex technical concepts to non-technical stakeholders and to identify and solve problems that arise during the development and implementation of AI models. Machine learning algorithms are a set of mathematical equations that are used to learn from data.

AI Product Manager 96

AI Product Manager AI Product Management Prompt Engineering Prompt Engineer 96

Flipboard

FEBRUARY 2, 2023

We then explain the details of the ML methodology and model training procedures. There are around 3,000 and 4,000 plays from four NFL seasons (2018–2021) for punt and kickoff plays, respectively. Models were trained and cross-validated on the 2018, 2019, and 2020 seasons and tested on the 2021 season.

Machine Learning 123

Machine Learning ML Data Scientist Big Data 123

ML @ CMU

MARCH 31, 2023

However, while numerous explainable AI (XAI) methods have been developed, XAI has yet to deliver on this promise. The stages of evaluation are adapted from Doshi-Velez and Kim (2017); we introduce an additional stage, use-case-grounded algorithmic evaluations, in a recent Neurips 2022 paper [ 2 ]. Our contributions. Balayan, V.,

ML 98

ML Explainability Algorithm Machine Learning 98

AI Impacts

FEBRUARY 1, 2023

A faulty brake line on a car is not much of a concern to the public until the car is on public roads, and the facebook feed algorithm cannot be a threat to society until it is used to control what large numbers of people see on their screens. But this model, on its own, is inadequate for AI, for reasons I will explain in the next section.

AI 130

AI AI OpenAI Large Language Models 130

ODSC - Open Data Science

APRIL 19, 2023

But when we landed our first jobs, we quickly realized that it’s not actually the algorithms or the coding that are so difficult. The resulting book, “Business Skills for Data Scientists: Practical Guidance in Six Key Topics”, was published in 2021 and has so far had a very positive reception.

Data Scientist 84

Data Scientist Data Science Machine Learning Explainability 84

AWS Machine Learning Blog

AUGUST 14, 2023

Amazon SageMaker JumpStart is a machine learning (ML) hub offering algorithms, models, and ML solutions. Question answering Context: NLP Cloud was founded in 2021 when the team realized there was no easy way to reliably leverage Natural Language Processing in production. He focuses on developing scalable machine learning algorithms.

NLP 98

NLP Robotics Prompt Engineer Prompt Engineering 98

AWS Machine Learning Blog

MAY 22, 2024

Furthermore, having factoid product descriptions can increase customer satisfaction by enabling a more personalized buying experience and improving the algorithms for recommending more relevant products to users, which raise the probability that users will make a purchase.

Generative AI 136

Generative AI Machine Learning Natural Language Processing Large Language Models 136

AWS Machine Learning Blog

FEBRUARY 10, 2023

We describe how we designed an accurate, explainable ML model to make coverage classification from player tracking data, followed by our quantitative evaluation and model explanation results. Quantitative evaluation We utilize 2018–2020 season data for model training and validation, and 2021 season data for model evaluation.

Computer Vision 96

Computer Vision Machine Learning ML Convolutional Neural Networks 96

Mlearning.ai

JUNE 14, 2023

LLMs (Foundational Models) 101: Introduction to Transformer Models Transformers, explained: Understand the model behind GPT, BERT, and T5 — YouTube Illustrated Guide to Transformers Neural Network: A step by step explanation — YouTube Attention Mechanism Deep dive. Transformer Neural Networks — EXPLAINED! YouTube BERT Research — Ep.

Neural Network 52

Neural Network BERT Large Language Models Natural Language Processing 52

Google Research AI blog

FEBRUARY 23, 2023

In our own journey to promote the use of ML to prevent blindness in underserved diabetic populations, six years elapsed between our publication of the primary algorithmic research , and the recent deployment study demonstrating the real-world accuracy of the integrated ML solution in a community-based screening setting.

Convolutional Neural Networks 104

Convolutional Neural Networks ML Neural Network Deep Learning 104

Towards AI

OCTOBER 5, 2023

For instance, ask “Can you explain Einstein’s theory of relativity in simple terms?” Its training data ended in 2021. It cannot explain how its algorithms work, discuss its own capabilities, or self-reflect accurately. and you may be pleasantly surprised by the coherent explanation it provides.

ChatGPT 64

ChatGPT Explainability Chatbots Conversational AI 64