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π1
Google has compiled a comprehensive list of 321 real-world generative AI (gen AI) use cases implemented by leading organizations worldwide. These examples showcase how various industries are leveraging gen AI to enhance operations, improve customer experiences, and drive innovation.
Key Highlights:
- Diverse Applications Across Industries: The use cases span multiple sectors, including healthcare, finance, retail, and entertainment, demonstrating the versatility of gen AI in addressing industry-specific challenges.
- Enhanced Customer Experiences: Companies like Mercedes-Benz are integrating gen AI-powered smart sales assistants into their online storefronts to personalize marketing campaigns and improve customer interactions.
- Operational Efficiency: Organizations such as Target are utilizing Google Cloud's AI solutions to power personalized offers and services on their platforms, leading to improved operational efficiency.
- Innovations in Healthcare: Institutions like Mayo Clinic have granted researchers access to extensive clinical data through Vertex AI search, accelerating information retrieval and fostering medical advancements.
- Creative Content Generation: Media companies like Globo are using AI to hyper-personalize content for streaming users, enhancing viewer engagement and satisfaction.
- Security Enhancements: Financial institutions such as BBVA are employing AI in security operations to detect, investigate, and respond to threats with increased accuracy and speed.
This extensive compilation serves as a valuable resource for understanding the practical applications of generative AI and offers insights into how organizations are successfully implementing AI agents to achieve their objectives.
For a detailed exploration of all 321 use cases ; https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders
Key Highlights:
- Diverse Applications Across Industries: The use cases span multiple sectors, including healthcare, finance, retail, and entertainment, demonstrating the versatility of gen AI in addressing industry-specific challenges.
- Enhanced Customer Experiences: Companies like Mercedes-Benz are integrating gen AI-powered smart sales assistants into their online storefronts to personalize marketing campaigns and improve customer interactions.
- Operational Efficiency: Organizations such as Target are utilizing Google Cloud's AI solutions to power personalized offers and services on their platforms, leading to improved operational efficiency.
- Innovations in Healthcare: Institutions like Mayo Clinic have granted researchers access to extensive clinical data through Vertex AI search, accelerating information retrieval and fostering medical advancements.
- Creative Content Generation: Media companies like Globo are using AI to hyper-personalize content for streaming users, enhancing viewer engagement and satisfaction.
- Security Enhancements: Financial institutions such as BBVA are employing AI in security operations to detect, investigate, and respond to threats with increased accuracy and speed.
This extensive compilation serves as a valuable resource for understanding the practical applications of generative AI and offers insights into how organizations are successfully implementing AI agents to achieve their objectives.
For a detailed exploration of all 321 use cases ; https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders
Google Cloud Blog
Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog
Gen AI is everywhere, as top companies, governments, researchers, and startups showcase how they're already using Google's AI solutions to enhance their work.
7 Advanced AI Projects for Beginners
1. Stock Market Forecasting with TimeGPT:- Project
2. Multilingual Automatic Speech Recognition:- Project
3. Image Segmentation Using Text and Image Prompts :- Project
4. Anomaly Detection:- Project
5. AI Plays Super Mario Bros:- Project
6. Fine-tuning Llama 3.2 and Using It Locally:- Project
7. How to Deploy LLM Applications Using Docker:- Project
Join for more: https://t.me/aichads
1. Stock Market Forecasting with TimeGPT:- Project
2. Multilingual Automatic Speech Recognition:- Project
3. Image Segmentation Using Text and Image Prompts :- Project
4. Anomaly Detection:- Project
5. AI Plays Super Mario Bros:- Project
6. Fine-tuning Llama 3.2 and Using It Locally:- Project
7. How to Deploy LLM Applications Using Docker:- Project
Join for more: https://t.me/aichads
π7β€1
Top 10 Computer Vision Project Ideas
1. Edge Detection
2. Photo Sketching
3. Detecting Contours
4. Collage Mosaic Generator
5. Barcode and QR Code Scanner
6. Face Detection
7. Blur the Face
8. Image Segmentation
9. Human Counting with OpenCV
10. Colour Detection
1. Edge Detection
2. Photo Sketching
3. Detecting Contours
4. Collage Mosaic Generator
5. Barcode and QR Code Scanner
6. Face Detection
7. Blur the Face
8. Image Segmentation
9. Human Counting with OpenCV
10. Colour Detection
π7β€1
Python Machine Learning Projects.pdf
871.9 KB
Python Machine Learning Projects
DigitalOcean, 2022
DigitalOcean, 2022
π¨30 FREE Dataset Sources for Data Science Projectsπ₯
Data Simplifier: https://datasimplifier.com/best-data-analyst-projects-for-freshers/
US Government Dataset: https://www.data.gov/
Open Government Data (OGD) Platform India: https://data.gov.in/
The World Bank Open Data: https://data.worldbank.org/
Data World: https://data.world/
BFI - Industry Data and Insights: https://www.bfi.org.uk/data-statistics
The Humanitarian Data Exchange (HDX): https://data.humdata.org/
Data at World Health Organization (WHO): https://www.who.int/data
FBIβs Crime Data Explorer: https://crime-data-explorer.fr.cloud.gov/
AWS Open Data Registry: https://registry.opendata.aws/
FiveThirtyEight: https://data.fivethirtyeight.com/
IMDb Datasets: https://www.imdb.com/interfaces/
Kaggle: https://www.kaggle.com/datasets
UCI Machine Learning Repository: https://archive.ics.uci.edu/ml/index.php
Google Dataset Search: https://datasetsearch.research.google.com/
Nasdaq Data Link: https://data.nasdaq.com/
Recommender Systems and Personalization Datasets: https://cseweb.ucsd.edu/~jmcauley/datasets.html
Reddit - Datasets: https://www.reddit.com/r/datasets/
Open Data Network by Socrata: https://www.opendatanetwork.com/
Climate Data Online by NOAA: https://www.ncdc.noaa.gov/cdo-web/
Azure Open Datasets: https://azure.microsoft.com/en-us/services/open-datasets/
IEEE Data Port: https://ieee-dataport.org/
Wikipedia: Database: https://dumps.wikimedia.org/
BuzzFeed News: https://github.com/BuzzFeedNews/everything
Academic Torrents: https://academictorrents.com/
Yelp Open Dataset: https://www.yelp.com/dataset
The NLP Index by Quantum Stat: https://index.quantumstat.com/
Computer Vision Online: http://www.computervisiononline.com/dataset
Visual Data Discovery: https://www.visualdata.io/
Roboflow Public Datasets: https://public.roboflow.com/
Computer Vision Group, TUM: https://vision.in.tum.de/data/datasets
Data Simplifier: https://datasimplifier.com/best-data-analyst-projects-for-freshers/
US Government Dataset: https://www.data.gov/
Open Government Data (OGD) Platform India: https://data.gov.in/
The World Bank Open Data: https://data.worldbank.org/
Data World: https://data.world/
BFI - Industry Data and Insights: https://www.bfi.org.uk/data-statistics
The Humanitarian Data Exchange (HDX): https://data.humdata.org/
Data at World Health Organization (WHO): https://www.who.int/data
FBIβs Crime Data Explorer: https://crime-data-explorer.fr.cloud.gov/
AWS Open Data Registry: https://registry.opendata.aws/
FiveThirtyEight: https://data.fivethirtyeight.com/
IMDb Datasets: https://www.imdb.com/interfaces/
Kaggle: https://www.kaggle.com/datasets
UCI Machine Learning Repository: https://archive.ics.uci.edu/ml/index.php
Google Dataset Search: https://datasetsearch.research.google.com/
Nasdaq Data Link: https://data.nasdaq.com/
Recommender Systems and Personalization Datasets: https://cseweb.ucsd.edu/~jmcauley/datasets.html
Reddit - Datasets: https://www.reddit.com/r/datasets/
Open Data Network by Socrata: https://www.opendatanetwork.com/
Climate Data Online by NOAA: https://www.ncdc.noaa.gov/cdo-web/
Azure Open Datasets: https://azure.microsoft.com/en-us/services/open-datasets/
IEEE Data Port: https://ieee-dataport.org/
Wikipedia: Database: https://dumps.wikimedia.org/
BuzzFeed News: https://github.com/BuzzFeedNews/everything
Academic Torrents: https://academictorrents.com/
Yelp Open Dataset: https://www.yelp.com/dataset
The NLP Index by Quantum Stat: https://index.quantumstat.com/
Computer Vision Online: http://www.computervisiononline.com/dataset
Visual Data Discovery: https://www.visualdata.io/
Roboflow Public Datasets: https://public.roboflow.com/
Computer Vision Group, TUM: https://vision.in.tum.de/data/datasets
π7
π β AI/ML Engineer
Stage 1 β Python Basics
Stage 2 β Statistics & Probability
Stage 3 β Linear Algebra & Calculus
Stage 4 β Data Preprocessing
Stage 5 β Exploratory Data Analysis (EDA)
Stage 6 β Supervised Learning
Stage 7 β Unsupervised Learning
Stage 8 β Feature Engineering
Stage 9 β Model Evaluation & Tuning
Stage 10 β Deep Learning Basics
Stage 11 β Neural Networks & CNNs
Stage 12 β RNNs & LSTMs
Stage 13 β NLP Fundamentals
Stage 14 β Deployment (Flask, Docker)
Stage 15 β Build projects
Stage 1 β Python Basics
Stage 2 β Statistics & Probability
Stage 3 β Linear Algebra & Calculus
Stage 4 β Data Preprocessing
Stage 5 β Exploratory Data Analysis (EDA)
Stage 6 β Supervised Learning
Stage 7 β Unsupervised Learning
Stage 8 β Feature Engineering
Stage 9 β Model Evaluation & Tuning
Stage 10 β Deep Learning Basics
Stage 11 β Neural Networks & CNNs
Stage 12 β RNNs & LSTMs
Stage 13 β NLP Fundamentals
Stage 14 β Deployment (Flask, Docker)
Stage 15 β Build projects
π3
β¬οΈ Pysentimiento: A Python toolkit for Sentiment Analysis and Social NLP tasks
Github: https://github.com/pysentimiento/pysentimiento
Paper: https://arxiv.org/abs/2106.09462
English model: https://huggingface.co/finiteautomata/bertweet-base-sentiment-analysis
Github: https://github.com/pysentimiento/pysentimiento
Paper: https://arxiv.org/abs/2106.09462
English model: https://huggingface.co/finiteautomata/bertweet-base-sentiment-analysis