ODSC - Open Data Science

MARCH 15, 2023

Our expert speakers will be sharing their insights and knowledge on a wide range of topics. You’ll also explore centrality metrics, networking density, various layout algorithms, and strategies for interpreting and communicating graph data. Check out a few of them below. or spelling variations/mistakes.

Data Science 98

Data Science Algorithm Artificial Intelligence Artificial Intelligence 98

Data Science Blog

APRIL 25, 2023

And at least to me, learning AI technologies by explaining them to someone, which require thorough survey on learning topics, have been very effective to me. Even though I thought I was just struggling with explaining a certain topic, I usually realize that I gained better understanding on other parts I did not care so much.

Algorithm 147

Algorithm Deep Learning Deep Learning Machine Learning 147

ODSC - Open Data Science

APRIL 10, 2023

When it comes to building a successful career in data science or AI, getting hands-on training to fill knowledge gaps or learn about the latest developments in the industry is always a good idea. Deep Learning with PyTorch and TensorFlow part 1 and 2 Dr. Jon Krohn | Chief Data Scientist | Nebula.io Check out a few of them below.

Machine Learning 52

Machine Learning Machine Learning Data Science Deep Learning 52

Defined.ai blog

APRIL 20, 2023

Health data is an extremely personal topic for many individuals, and the laws and regulations reflect this sensitivity. These screens are linked over an individual’s lifetime, making them a valuable resource for tracking life-cycle health and building medical AI models, especially when it comes to predictive health data.

Data Modeling 52

Data Modeling Data Models AI AI 52

Mlearning.ai

JANUARY 26, 2023

Prepared by: Carson Ross (OpenGeoHub) , Tom Hengl (OpenGeoHub) , Leandro Parente (OpenGeoHub) , Vasile Crăciunescu (TerraSigna) Data Cubes are highly organised data infrastructures enabling users to run new analyses and generate insights into processes, patterns and trends.

AWS 98

AWS Database Clean Data Data Science 98

ODSC - Open Data Science

APRIL 6, 2023

Graph Viz: Exploring, Analyzing, and Visualizing Graphs and Networks with Gephi and ChatGPT ChatGPT can do a lot with text, but how can it help with data viz? The Secret to Great AI: Great Data Tue, Apr 18, 2023 12:00 PM — 1:00 PM EDT Join us to learn about deriving valuable signals from tabular data. Here’s why.

Data Science 52

Data Science AI AI Machine Learning 52

Pickl AI

JUNE 23, 2023

In the world of artificial intelligence (AI), data plays a crucial role. And to effectively harness the power of data, organizations are adopting data-centric architectures in AI. But what exactly is data-centric architecture in AI? How Does Data-Centric AI Work? This can include structured data (e.g.,

AI 52

AI AI Data Governance Data Quality 52

IBM Journey to AI blog

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

AI 79

AI AI Data Warehouse ML 79

DrivenData Labs

MARCH 30, 2023

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections.

Machine Learning 162

Machine Learning Machine Learning Data Science Algorithm 162

DagsHub

FEBRUARY 29, 2024

Introduction Machine learning models learn patterns from data and leverage the learning, captured in the model weights, to make predictions on new, unseen data. Data, is therefore, essential to the quality and performance of machine learning models. In this blog, I will describe how to prepare data for machine learning in depth.

Data Preparation 52

Data Preparation Machine Learning Machine Learning Data Governance 52

Snorkel AI

JUNE 7, 2023

Snorkel AI hosted the first day of the two-day The Future of Data-Centric AI virtual conference today, featuring Matei Zaharia, the creator of Spark, DJ Patil, the first U.S. Chief Data Scientist, and other esteemed speakers and panelists. He also said that data scientists should not worry about optimizing themselves out of a job.

Data Scientist 52

Data Scientist AI AI Machine Learning 52

Snorkel AI

JUNE 7, 2023

Snorkel AI hosted the first day of the two-day The Future of Data-Centric AI virtual conference today, featuring Matei Zaharia, the creator of Spark, DJ Patil, the first U.S. Chief Data Scientist, and other esteemed speakers and panelists. He also said that data scientists should not worry about optimizing themselves out of a job.

Data Scientist 52

Data Scientist AI AI Machine Learning 52

Snorkel AI

JULY 6, 2023

Nyla Worker, product manager at NVIDIA gave a presentation entitled “Leveraging Synthetic Data to Train Perception Models Using NVIDIA Omniverse Replicator” at Snorkel AI’s The Future of Data-Centric AI virtual conference in August 2022. You go back and regather data or maybe the project is over. And what do you do then?

AI 59

AI AI Deep Learning Deep Learning 59

Snorkel AI

JULY 6, 2023

Nyla Worker, product manager at NVIDIA gave a presentation entitled “Leveraging Synthetic Data to Train Perception Models Using NVIDIA Omniverse Replicator” at Snorkel AI’s The Future of Data-Centric AI virtual conference in August 2022. You go back and regather data or maybe the project is over. And what do you do then?

AI 59

AI AI Deep Learning Deep Learning 59

AWS Machine Learning Blog

SEPTEMBER 19, 2023

Multi-modal data is a valuable component of the financial industry, encompassing market, economic, customer, news and social media, and risk data. Financial organizations generate, collect, and use this data to gain insights into financial operations, make better decisions, and improve performance.

AWS 106

AWS AI AI ML 106

AWS Machine Learning Blog

NOVEMBER 16, 2023

Almost 50 years later, the estimation of housing prices has become an important teaching tool for students and professionals interested in using data and ML in business decision-making. Here, we use the term foundation model to describe an artificial intelligence (AI) capability that has been pre-trained on a large and diverse body of data.

AWS 90

AWS ML ML Machine Learning 90

Google Research AI blog

DECEMBER 7, 2022

If you’re registered for EMNLP 2022, we hope you’ll visit the Google booth to learn more about the exciting work across various topics, including language interactions, causal inference, question answering and more. This year we are presenting over 50 papers and are actively involved in 10 different workshops and tutorials.

Natural Language Processing 52

Natural Language Processing Artificial Intelligence Artificial Intelligence Clustering 52

AWS Machine Learning Blog

AUGUST 14, 2023

This is useful where limited labeled data is available for training. BLOOM is an autoregressive LLM trained to continue text from a prompt on vast amounts of text data using industrial-scale computational resources. The BloomZ 176B model has been trained with a large amount of data, making to applicable for many general-purpose tasks.

AWS 72

AWS Natural Language Processing Machine Learning Machine Learning 72

Google Research AI blog

NOVEMBER 17, 2022

Earlier this year at the ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), we published Data Cards , a dataset documentation framework aimed at increasing transparency across dataset lifecycles. The Data Cards Playbook incorporates the latest in fairness, accountability, and transparency research.

ML 45

ML ML Data Governance Data Scientist 45

Pickl AI

JULY 18, 2023

AI Architects work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to design and deliver AI solutions that drive innovation, efficiency, and competitive advantage. Their responsibilities often revolve around coding, data preprocessing, model training, and optimization.

AI 52

AI AI Machine Learning Machine Learning 52

The MLOps Blog

FEBRUARY 27, 2023

Every episode is focused on one specific ML topic, and during this one, we talked to Michal Tadeusiak about managing computer vision projects. He has led several data science projects spanning multiple industries like manufacturing, retail, healthcare, insurance, safety, et cetera. Michal is the Director of AI at Deepsense.ai.

ML 52

ML ML Data Scientist Machine Learning 52

AWS Machine Learning Blog

MAY 25, 2023

Furthermore, FMs are trained with a point in time snapshot of data and have no inherent ability to access fresh data at inference time; without this ability they might provide responses that are potentially incorrect or inadequate. Amazon SageMaker Processing jobs for large scale data ingestion into OpenSearch.

AWS 77

AWS Clustering Python ML 77

AWS Machine Learning Blog

MARCH 14, 2024

Given the data sources, LLMs provided tools that would allow us to build a Q&A chatbot in weeks, rather than what may have taken years previously, and likely with worse performance. Using structured data to answer questions requires a way to effectively extract data that’s relevant to a user’s query.

SQL 106

SQL AWS AI AI 106

NYU Center for Data Science

JANUARY 25, 2024

In the world of data science, few events garner as much attention and excitement as the annual Neural Information Processing Systems (NeurIPS) conference. 2023’s event, held in New Orleans in December, was no exception, showcasing groundbreaking research from around the globe.

Computer Science 73

Computer Science Computer Science Data Science Supervised Learning 73

Mlearning.ai

NOVEMBER 29, 2023

Data forecasting has come a long way since formidable data processing-boosting technologies such as machine learning were introduced. to maximize the preciseness of data-driven predictions and forecasts. Thus, traditional methods are limited to processing only previously collected, readily available demand historical data.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Google Research AI blog

MAY 18, 2023

We have applied these structures to prompt editors to provide features similar to those found in other programming environments, such as semantic highlighting, autosuggest, and structured data views. We've also developed new state-of-the-art explainability methods to identify the role of training data on model behaviors and misbehaviours.

AI 65

AI AI ML ML 65

DrivenData Labs

JUNE 19, 2023

3 , 4 , 5 Results ¶ The goal in this challenge was to predict whether a relapse will occur in the 5 years following the initial diagnosis using digitized versions of microscopic slides and tabular clinical features. The raw counts highlight the class imbalance in the data; there are far more "no relapse" cases than relapses.

Deep Learning 130

Deep Learning Deep Learning Cross Validation Algorithm 130

Pickl AI

NOVEMBER 8, 2023

The Pandas cheat sheet provides a valuable resource for data scientists and analysts. It offers a collection of key commands and functions for efficient data manipulation using the Pandas library in Python. In the realm of data manipulation and analysis, the Python library Pandas stands as an indispensable tool.

Data Scientist 52

Data Scientist SQL Python Data Visualization 52

AWS Machine Learning Blog

MARCH 13, 2024

Because the models are hosted and deployed on AWS, your data, whether used for evaluating the model or using it at scale, is never shared with third parties. Choose the model card to view details about the model such as the license, data used to train, and how to use the model. One example within the JSON lines file is shown below.

Machine Learning 112

Machine Learning Machine Learning Algorithm Python 112

phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Microsoft Power BI has been the leader in the analytics and business intelligence platforms category for several years running.

Power BI 84

Power BI Analytics Analytics Azure 84

AssemblyAI

MARCH 21, 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. What are the actual advantages of Graph Machine Learning?

AI 126

AI AI Deep Learning Deep Learning 126

AWS Machine Learning Blog

OCTOBER 9, 2023

The problem with the increasing volume of customer reviews across multiple channels is that it can be challenging for companies to process and derive meaningful insights from the data using traditional methods. Machine learning (ML) can analyze large volumes of product reviews and identify patterns, sentiments, and topics discussed.

Machine Learning 84

Machine Learning Machine Learning ML ML 84

The MLOps Blog

AUGUST 3, 2023

Stefan is a software engineer, data scientist, and has been doing work as an ML engineer. He also ran the data platform in his previous company and is also co-creator of open-source framework, Hamilton. We’re building on top of Hamilton, which is an open-source framework for describing data flows. Stefan: Good question.

ML 52

ML ML Data Scientist Machine Learning 52

AWS Machine Learning Blog

JANUARY 25, 2023

Amazon SageMaker Clarify is a feature of Amazon SageMaker that enables data scientists and ML engineers to explain the predictions of their ML models. Apart from supporting explanations for tabular data, Clarify also supports explainability for both computer vision (CV) and natural language processing (NLP) using the same SHAP algorithm.

Algorithm 71

Algorithm Natural Language Processing Machine Learning Machine Learning 71

AWS Machine Learning Blog

APRIL 18, 2023

With access to massive amounts of data, LLMs have the potential to revolutionize the way we interact with language. LLMs like GPT-J 6B are trained on massive amounts of unlabeled data and can be fine-tuned on smaller datasets, making the model perform better in a specific domain. The improvement from fine-tuning is evident.

ML 67

ML ML Deep Learning Deep Learning 67

Towards AI

AUGUST 11, 2023

Discover how tabular data space is being transformed by Kaggle competitions, the open-source community, and Generative AI. Image by Author Introduction Tabular data refers to data organized into rows and columns. Traditionally, tabular data has been used for simply organizing and reporting information.

Machine Learning 89

Machine Learning Machine Learning AI AI 89

AWS Machine Learning Blog

APRIL 18, 2023

With access to massive amounts of data, LLMs have the potential to revolutionize the way we interact with language. LLMs like GPT-J 6B are trained on massive amounts of unlabeled data and can be fine-tuned on smaller datasets, making the model perform better in a specific domain. The improvement from fine-tuning is evident.

ML 52

ML ML Deep Learning Deep Learning 52