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DSC DACH 24

2024-09-18 YouTube Visit website ↗

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Snowpipe Fundamentals: Ingesting Streaming Data into Snowflake Made Easy | Ved Prakash | DSC DACH 24

Snowpipe Fundamentals: Ingesting Streaming Data into Snowflake Made Easy | Ved Prakash | DSC DACH 24

2024-09-18 Watch
video

In his tech tutorial, Ved provided a detailed walkthrough of how to automate the loading of streaming data into Snowflake using Snowpipe. He explained the core concepts behind Snowpipe and its role in building efficient, near-real-time data pipelines. By demonstrating how Snowpipe eliminates the need for manual intervention, Ved showed how to seamlessly integrate cloud storage with Snowflake for continuous data loading.

This tutorial by Ved was held on September 11th as part of Tech Tutorials at the DSC DACH 24

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datascience #ai #ml #artificialintelligence #bigdata #dataanalytics

Predictability Check: Demand Forecasting | Hillary Farmer | DSC DACH 24

Predictability Check: Demand Forecasting | Hillary Farmer | DSC DACH 24

2024-09-18 Watch
video

In her tech tutorial, Hillary provided a step-by-step guide to developing a robust demand forecasting model using Python, with a focus on XGBoost for high-accuracy predictions. She demonstrated feature engineering techniques to enhance predictive power and used Streamlit to create an interactive web application for real-time demand forecasting. The tutorial covered the entire process, from data preprocessing and model training to deploying a user-friendly application.

This tutorial by Hillary was held on September 11th as part of Tech Tutorials at the DSC DACH 24

Follow us on social media : LinkedIn: https://www.linkedin.com/company/11184830/admin/ Instagram: https://www.instagram.com/datasciconf/ Facebook page: https://www.facebook.com/DataSciConference Website: https://datasciconference.com/

datascience #ai #ml #artificialintelligence #bigdata #dataanalytics

Navigating ML Explainability: From Theory to Implementation | Orsalia Andreou | DSC DACH 24

Navigating ML Explainability: From Theory to Implementation | Orsalia Andreou | DSC DACH 24

2024-09-18 Watch
video

In her tech tutorial, Orsalia demonstrated the growing importance of transparent machine learning models, emphasizing the need for explainability and interpretability for regulators, developers, and business leaders. She guided participants through both theoretical concepts and practical applications, ensuring a comprehensive understanding of these essential aspects. Orsalia highlighted how explainability in ML fosters trust and accountability in decision-making processes.

This tutorial by Orsalia was held on September 11th as part of Tech Tutorials at the DSC DACH 24

Follow us on social media : LinkedIn: https://www.linkedin.com/company/11184830/admin/ Instagram: https://www.instagram.com/datasciconf/ Facebook page: https://www.facebook.com/DataSciConference Website: https://datasciconference.com/

datascience #ai #ml #artificialintelligence #bigdata #dataanalytics

Build RAG using Llama 3.1 | Amir Siddiqui | DSC DACH 24

Build RAG using Llama 3.1 | Amir Siddiqui | DSC DACH 24

2024-09-18 Watch
video

In his tech tutorial, Amir introduced the Llama 3.1 open-source AI model, emphasizing its versatility for fine-tuning and deployment across various platforms. He demonstrated how users can adapt the model to specific use cases, leveraging its open-source nature for customization. Amir also showcased practical examples of deploying Llama 3.1 in different environments, highlighting its flexibility and utility.

This tutorial by Amir was held on September 11th as part of Tech Tutorials at the DSC DACH 24

Follow us on social media : LinkedIn: https://www.linkedin.com/company/11184830/admin/ Instagram: https://www.instagram.com/datasciconf/ Facebook page: https://www.facebook.com/DataSciConference Website: https://datasciconference.com/

datascience #ai #ml #artificialintelligence #bigdata #dataanalytics

Computer Vision in Azure | Pawel Ekk-Cierniakowski & Mariusz Wiecha | DSC DACH 24

Computer Vision in Azure | Pawel Ekk-Cierniakowski & Mariusz Wiecha | DSC DACH 24

2024-09-18 Watch
video

In their tech tutorial, Pawel and Maurisz demonstrated real-world applications of computer vision, such as document information extraction, waste recognition, and flow meter reading. They showcased how to utilize Azure services, including Azure AI Vision and Azure OpenAI, to develop and implement these solutions effectively.

This tutorial by Pawel & Maurisz was held on September 11th as part of Tech Tutorials at the DSC DACH 24

Follow us on social media : LinkedIn: https://www.linkedin.com/company/11184830/admin/ Instagram: https://www.instagram.com/datasciconf/ Facebook page: https://www.facebook.com/DataSciConference Website: https://datasciconference.com/

datascience #ai #ml #artificialintelligence #bigdata #dataanalytics

Generative AI for Businesses | Erik Ternav | DSC DACH 24

Generative AI for Businesses | Erik Ternav | DSC DACH 24

2024-09-18 Watch
video

In his tech tutorial, Erik explored the latest applications of generative AI across various industries and discussed how companies are leveraging this technology. He also provided insights into future trends, opportunities, and challenges expected by 2025, equipping businesses with practical knowledge to prepare for the evolving landscape of AI.

This tutorial by Erik was held on September 11th as part of Tech Tutorials at the DSC DACH 24

Follow us on social media : LinkedIn: https://www.linkedin.com/company/11184830/admin/ Instagram: https://www.instagram.com/datasciconf/ Facebook page: https://www.facebook.com/DataSciConference Website: https://datasciconference.com/

datascience #ai #ml #artificialintelligence #bigdata #dataanalytics

Building a Simple RAG Application: From Fundamentals to Implementation | Stanko Kuveljic |DSC DACH24

Building a Simple RAG Application: From Fundamentals to Implementation | Stanko Kuveljic |DSC DACH24

2024-09-18 Watch
video

In his tech tutorial, Stanko provided a hands-on guide to Retrieval-Augmented Generation (RAG), covering the fundamentals and setup of Pinecone for efficient data retrieval. He demonstrated the entire process of building a RAG application, including creating a knowledge base, implementing retrieval mechanisms, and generating meaningful outputs.

This tutorial by Stanko was held on September 11th as part of Tech Tutorials at the DSC DACH 24

Follow us on social media : LinkedIn: https://www.linkedin.com/company/11184830/admin/ Instagram: https://www.instagram.com/datasciconf/ Facebook page: https://www.facebook.com/DataSciConference Website: https://datasciconference.com/

datascience #ai #ml #artificialintelligence #bigdata #dataanalytics