PyImageSearch

FEBRUARY 6, 2023

Validation Testing Classification Report Sample Test Set Predictions Summary Citation Information Training a Custom Image Classification Network for OAK-D In this tutorial, you will learn to train a custom image classification network for OAK-D using the TensorFlow framework. MobileNetV2 is a classification model developed by Google.

Deep Learning 144

Deep Learning Deep Learning Python Data Analysis 144

IBM Journey to AI blog

NOVEMBER 21, 2023

Apache Kafka is a well-known open-source event store and stream processing platform and has grown to become the de facto standard for data streaming. A schema describes the structure of data. Apache Kafka transfers data without validating the information in the messages. What is a schema registry?

Apache Kafka 108

Apache Kafka Clustering Data Quality Data Governance 108

Towards AI

APRIL 7, 2024

Created by the author with DALL E-3 Statistics, regression model, algorithm validation, Random Forest, K Nearest Neighbors and Naïve Bayes— what in God’s name do all these complicated concepts have to do with you as a simple GIS analyst? Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI.

Machine Learning 88

Machine Learning Machine Learning K-nearest Neighbors Supervised Learning 88

AWS Machine Learning Blog

MAY 9, 2024

For organizations to be successful in their generative AI journey, there is growing importance for coordinated collaboration across lines of businesses and technical teams. What is an AI/ML CoE?

ML 100

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AWS Machine Learning Blog

APRIL 4, 2024

However, delivering truly personalized recommendations presents several key challenges: Capturing diverse user interests – News can span many topics and even within specific topics, readers can have varied interests. Recommenders must quickly learn preferences from limited data to provide value.

AWS 83

AWS ETL Data Scientist Database 83

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. When business decisions are made based on bad models, the consequences can be severe. What is a model?

Machine Learning 111

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 111

Dataconomy

OCTOBER 5, 2023

Artificial intelligence, one of the most talked about topics in today’s technology world, has played a huge role in bringing many things into our lives, especially in the last five years. AI technologies learn from the data we provide through a structured process known as training. Firstly, data collection is essential.

AI 136

AI AI Artificial Intelligence Artificial Intelligence 136

PyImageSearch

MARCH 20, 2023

Furthermore, we will discuss how we can use our model to make predictions in real-time. Additionally, we discussed a typical Siamese network pipeline and how it can be used to build our face recognition model. In this tutorial, we will take this further and learn how to train our face recognition model using Keras and TensorFlow.

Deep Learning 117

Deep Learning Deep Learning Data Pipeline Python 117

ODSC - Open Data Science

DECEMBER 7, 2023

Solution Showcase talks and Keynote Talks are available for free , while deep dives into topics with training sessions and workshops are available for purchase. You’ll take a deep dive into DataGPT’s technology stack, detailing its methodology for efficient data processing and its measures to ensure accuracy and consistency.

Data Wrangling 98

Data Wrangling Data Science Machine Learning Machine Learning 98

Towards AI

JUNE 6, 2023

Achieving Peak Performance: Mastering Control and Generalization Source: Image created by Jan Marcel Kezmann Today, we’re going to explore a crucial decision that researchers and practitioners face when training machine and deep learning models: Should we stick to a fixed custom dataset or embrace the power of cross-validation techniques?

Cross Validation 52

Cross Validation Deep Learning Deep Learning ML 52

ML @ CMU

FEBRUARY 24, 2023

All language models (LMs) are frozen. TL;DR : Prompting enables large language models (LLMs) to perform various NLP tasks without changing the model. Figure 1 : Overview of RL Prompt for discrete prompt optimization. Discrete prompts have many desirable properties, but are difficult to optimize.

Natural Language Processing 253

Natural Language Processing Algorithm Computer Science Computer Science 253

ODSC - Open Data Science

AUGUST 11, 2023

Building a Data-Driven Workforce Dominic Bohan | Co-Founder Story | IQ This session will explore how you can equip your entire team with the essential descriptive analytics skill to free up your data experts for more vital work. Whatever your experience level, we have expert-led workshops, tutorials, and talks for you.

Machine Learning 98

Machine Learning Machine Learning Data Science Data Scientist 98

IBM Journey to AI blog

SEPTEMBER 6, 2023

According to the IBM survey, when CMOs were asked what they thought the primary challenges were in adopting generative AI, they listed three top concerns: managing the complexity of implementation, building the data set and brand and intellectual property (IP) risk. The journey starts with sound data.

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AI AI 123

IBM Journey to AI blog

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. It might suggest a restaurant based on preferences and current popularity.

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AI AI Computer Science Computer Science 97

IBM Journey to AI blog

NOVEMBER 29, 2023

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Data Scientist 89

Data Scientist Machine Learning Machine Learning AI 89

ODSC - Open Data Science

AUGUST 17, 2023

According to their post, the goal of these two large language models is to expand and create a new standard for open-access AI research. Stable Beluga 1 builds upon the foundation of the LLaMA 65B model. Similarly, Stable Beluga 2 leverages the power of the LLaMA 2 70B foundation model.

Deep Learning 52

Deep Learning Deep Learning AI AI 52

Towards AI

JANUARY 24, 2024

At a recent GAI Insights learning lab conducted by the amazing Rosemary Brisco, the topic of discussion was the obstacles and roadblocks that companies are facing while trying to deploy Generative AI in their enterprises. Let’s unpack the data. Start with low-risk public data and low-risk use cases. ai.plainenglish.io

AI 95

AI AI Machine Learning Machine Learning 95

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 78

AI AI Data Warehouse ML 78

ODSC - Open Data Science

MARCH 22, 2023

Many companies are now utilizing data science and machine learning , but there’s still a lot of room for improvement in terms of ROI. To find out, we’ve taken some of the upcoming tutorials and workshops from ODSC East 2023 and let the experts via their topics guide us toward building better machine learning.

Machine Learning 98

Machine Learning Machine Learning Data Science Artificial Intelligence 98

DrivenData Labs

JANUARY 22, 2024

This guest blog post from our partners at Veratai contains code for training the benchmark entity linking model for the SNOMED CT Entity Linking Challenge. Background ¶ Much of the world's healthcare data is stored in free-text documents, usually clinical notes taken by doctors. However, clinical entity linking is hard!

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Women in Big Data

APRIL 17, 2024

His ability to bridge the gap between complex topics and practical applications was truly invaluable. The “From Data to Decisions” workshop provided a fantastic foundation for understanding how statistics bridge the gap to powerful machine learning applications. Check out this link for the video recording of the workshop.

Exploratory Data Analysis 52

Exploratory Data Analysis EDA Machine Learning Machine Learning 52

Pickl AI

FEBRUARY 12, 2024

Data Science interviews are pivotal moments in the career trajectory of any aspiring data scientist. Having the knowledge about the data science interview questions will help you crack the interview. Since there has been a consistent growth in the Data Science domain , there is a growing demand for qualified professionals.

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Dataconomy

JULY 6, 2023

Artificial intelligence (AI) has emerged as a prominent and trending topic in contemporary times due to several compelling reasons. To address these challenges in artificial intelligence, companies can invest in research and development efforts to advance the understanding of AI algorithms, models, and techniques.

Artificial Intelligence 188

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Pickl AI

FEBRUARY 22, 2024

Summary: Dive into programs at Duke University, MIT, and more, covering Data Analysis, Statistical quality control, and integrating Statistics with Data Science for diverse career paths. offer modules in Statistical modelling, biostatistics, and comprehensive Data Science bootcamps, ensuring practical skills and job placement.

Hypothesis Testing 52

Hypothesis Testing Data Analysis Data Analysis Data Science 52

IBM Journey to AI blog

DECEMBER 19, 2023

This post expands on the topic and provides a maturity model and building blocks that help enterprises accelerate their software supply chain lifecycle in the ever-evolving landscape of enterprise cloud-native software development. This helps adoption and acceleration.

AWS 83

AWS Data Classification Data Preparation 83

Dataconomy

JULY 28, 2023

Data preprocessing is a fundamental and essential step in the field of sentiment analysis, a prominent branch of natural language processing (NLP). Sentiment analysis focuses on discerning the emotions and attitudes expressed in textual data, such as social media posts, product reviews, customer feedback, and online comments.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Flipboard

MARCH 13, 2023

With terabytes of data generated by the product, the security analytics team focuses on building machine learning (ML) solutions to surface critical attacks and spotlight emerging threats from noise. High level Solution Design This ML platform was envisioned and designed to be consumed by different models across various code repositories.

ML 102

ML ML AWS Data Scientist 102

Snorkel AI

APRIL 16, 2024

Paroma Varma, co-founder at Snorkel AI, and Ali Arsenjani, director of AI/ML partner engineering at Google, discussed the role of data in the development and implementation of LLMs. These models don’t work out of the box, they noted, particularly for enterprise applications. Ali Arsanjani: Thank you so much, Paroma. AA: Absolutely.

ML 52

ML ML AI AI 52

Snorkel AI

APRIL 16, 2024

Paroma Varma, co-founder at Snorkel AI, and Ali Arsenjani, director of AI/ML partner engineering at Google, discussed the role of data in the development and implementation of LLMs. These models don’t work out of the box, they noted, particularly for enterprise applications. Ali Arsanjani: Thank you so much, Paroma. AA: Absolutely.

ML 52

ML ML AI AI 52

Dataconomy

JANUARY 8, 2024

The contentious topic of AI copyright lawsuits is gaining traction, with many advocating that it’s high time AI enterprises compensated for the vast amounts of freely sourced data that have bolstered their generative systems. It’s not just individuals who are entering the legal fray.

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ODSC - Open Data Science

MARCH 27, 2023

Our expert speakers will cover a wide range of topics, tools, and techniques that data scientists of all levels can apply in their work. Check a few of them out below. Some of the questions you’ll explore include How much documentation is appropriate? Should you have manual sign-offs? If so, when and who should perform them?

Machine Learning 98

Machine Learning Machine Learning ML ML 98

Snorkel AI

MARCH 12, 2024

Along with our collaborators at Stanford, I and my students at the University of Wisconsin-Madison have discovered that a similar logic applies to large language models, and we’ve developed a way to exploit this tendency that we call “Skill-it!” However, the sheer amount of data they need to process during training can be overwhelming.

Algorithm 52

Algorithm AI AI 52

Snorkel AI

MARCH 12, 2024

Along with our collaborators at Stanford, I and my students at the University of Wisconsin-Madison have discovered that a similar logic applies to large language models, and we’ve developed a way to exploit this tendency that we call “Skill-it!” However, the sheer amount of data they need to process during training can be overwhelming.

Algorithm 52

Algorithm AI AI 52

Dataconomy

MARCH 13, 2023

Here are some of the essential topics to get started: Types of AI There are mainly three types of AI: Artificial narrow intelligence (ANI):  ANI, also known as Weak AI , refers to a system designed to perform a specific task, such as facial recognition, language translation, or playing chess.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Natural Language Processing Algorithm 98

Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

NOVEMBER 2, 2023

A cheat sheet for Data Scientists is a concise reference guide, summarizing key concepts, formulas, and best practices in Data Analysis, statistics, and Machine Learning. It serves as a handy quick-reference tool to assist data professionals in their work, aiding in data interpretation, modeling , and decision-making processes.

Data Scientist 52

Data Scientist Data Science Data Visualization Machine Learning 52

DagsHub

SEPTEMBER 10, 2023

Gain hands-on experience building datasets, models, pipelines, and more! DagsHub is a centralized platform to host and manage machine learning projects, including code, data, models, experiments, annotations, model registry, and more! Make your repository Hacktoberfest-ready by adding the "hacktoberfest" topic.

Machine Learning 52

Machine Learning Machine Learning Data Pipeline AI 52