Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

It's here! The ultimate course on Humanitarian Use of OpenStreetMap Data! 🎓 🗺️ 💻 A free, self-paced, online, and self-contained training that will equip you with the skills to start using open map data for humanitarian purposes. Sign up today here:

Humanitarian OpenStreetMap Team

28,084 subscribers

10,335 Aufrufe • vor 2 Jahren •via X (Twitter)

Wissenschaft & Technologie Bildung

Anya Rossi• Live Now

Private livecam show

2 Kommentare

Profilbild von Moh Pen_Abdul_Jnr✍

Moh Pen_Abdul_Jnr✍vor 1 Jahr

@openstreetmap I have a whole city data to upload. How should I go about it? I and my team carried out a field work to take coordinates of non residential properties and also roads with thier names attached. When we did a street naming project and we wish to upload it to @openstreetmap

Profilbild von Thor

Thorvor 1 Jahr

@openstreetmap

Ähnliche Videos

Announcing OpenCode School! A free, self-paced course that teaches you how to use OpenCode, the open-source AI coding agent. No account required. No personal data collected. Free forever.

Announcing OpenCode School! A free, self-paced course that teaches you how to use OpenCode, the open-source AI coding agent. No account required. No personal data collected. Free forever.

Zeke Sikelianos

44,136 Aufrufe • vor 4 Monaten

🧵 (Re)introducing the Practical Accessibility course: ✨ It is a comprehensive, self-paced, online video course designed to demystify web accessibility and to equip you with the knowledge you need to create more accessible websites & apps today 💪🏻 ⤵️

🧵 (Re)introducing the Practical Accessibility course: ✨ It is a comprehensive, self-paced, online video course designed to demystify web accessibility and to equip you with the knowledge you need to create more accessible websites & apps today 💪🏻 ⤵️

Sara Soueidan is on Bluesky

21,515 Aufrufe • vor 1 Jahr

🧵 (Re)introducing the Practical Accessibility course: ✨ A comprehensive, self-paced, get-right-down-to-it video course designed to demystify web accessibility and equip you with the knowledge you need to create more accessible websites & apps today ⤵️

🧵 (Re)introducing the Practical Accessibility course: ✨ A comprehensive, self-paced, get-right-down-to-it video course designed to demystify web accessibility and equip you with the knowledge you need to create more accessible websites & apps today ⤵️

Sara Soueidan

74,818 Aufrufe • vor 2 Jahren

Think you’re ready for a real fight? Here are the 8 ultimate self-defense skills you NEED to survive: 8. Kickboxing.

Think you’re ready for a real fight? Here are the 8 ultimate self-defense skills you NEED to survive: 8. Kickboxing.

Masculine Beast

830,873 Aufrufe • vor 11 Monaten

Here is an open-source tool to generate a complete dataset. 1. Describe the data you want 2. An orchestrator agent searches the web 3. Sub-agents run in parallel to fetch the data 4. You get a structured dataset you can download For example, you can run Bigset with the query "all leica lenses being sold on amazon", or "leica stores in kyoto with their opening hours and ratings". Bigset uses TinyFish's free Search and Fetch APIs in the background. You can configure it to refresh the data on a schedule. You can self-host it with your own keys. Here is the GitHub repository: You can get free TinyFish API keys here: Thanks to the TinyFish team for partnering with me on this post.

Here is an open-source tool to generate a complete dataset. 1. Describe the data you want 2. An orchestrator agent searches the web 3. Sub-agents run in parallel to fetch the data 4. You get a structured dataset you can download For example, you can run Bigset with the query "all leica lenses being sold on amazon", or "leica stores in kyoto with their opening hours and ratings". Bigset uses TinyFish's free Search and Fetch APIs in the background. You can configure it to refresh the data on a schedule. You can self-host it with your own keys. Here is the GitHub repository: You can get free TinyFish API keys here: Thanks to the TinyFish team for partnering with me on this post.

Santiago

20,851 Aufrufe • vor 2 Monaten

Three Framer components using its Data() API. They’re self contained code components sharing a single state to sync SoundCloud playback, live ticker data, and a fully interactive record player. Sound on 🔊 The video shows various states from staggered first time track use (compensated for arm position), play and pause in one component and affecting another one, arm drag to scrub a track on the vinyl, and a ticker that takes data depending on states.

Three Framer components using its Data() API. They’re self contained code components sharing a single state to sync SoundCloud playback, live ticker data, and a fully interactive record player. Sound on 🔊 The video shows various states from staggered first time track use (compensated for arm position), play and pause in one component and affecting another one, arm drag to scrub a track on the vinyl, and a ticker that takes data depending on states.

Lee Black

16,372 Aufrufe • vor 8 Monaten

Enrollment is now open for the Data Engineering Professional Certificate! Data engineers are the architects of modern organizations, ensuring data is reliable, accessible, and ready for analytics and machine learning. This professional certificate is tailored to equip you with the critical skills, through frameworks and hands-on practice, to excel in this role. Taught by industry expert Joe Reis, co-author of the best-selling book "Fundamentals of Data Engineering," along with 17 guest instructors from the data field, you will gain expertise to start and further your career in the high-demand field of data engineering. Key focus areas: 🗂️ Data Engineering Lifecycle: Learn the important stages of building an efficient data pipeline that creates business value. 📥 Data Ingestion: Learn how to efficiently gather data from various sources. 💾 Data Storage: Master the techniques for storing data securely and cost-effectively. 🔄 Data Transformation: Understand how to clean, organize, and prepare data for analysis and machine learning. 🏗️ Data Architecture Design: Build robust architectures that support scalable, efficient data workflows. 📊 Serving Data: Ensure that data is available to stakeholders when and where they need it to drive business decisions. Enroll now!

Enrollment is now open for the Data Engineering Professional Certificate! Data engineers are the architects of modern organizations, ensuring data is reliable, accessible, and ready for analytics and machine learning. This professional certificate is tailored to equip you with the critical skills, through frameworks and hands-on practice, to excel in this role. Taught by industry expert Joe Reis, co-author of the best-selling book "Fundamentals of Data Engineering," along with 17 guest instructors from the data field, you will gain expertise to start and further your career in the high-demand field of data engineering. Key focus areas: 🗂️ Data Engineering Lifecycle: Learn the important stages of building an efficient data pipeline that creates business value. 📥 Data Ingestion: Learn how to efficiently gather data from various sources. 💾 Data Storage: Master the techniques for storing data securely and cost-effectively. 🔄 Data Transformation: Understand how to clean, organize, and prepare data for analysis and machine learning. 🏗️ Data Architecture Design: Build robust architectures that support scalable, efficient data workflows. 📊 Serving Data: Ensure that data is available to stakeholders when and where they need it to drive business decisions. Enroll now!

DeepLearning.AI

20,833 Aufrufe • vor 1 Jahr

In a first of its kind, Google has launched a ‘New Fundamentals’ training course to equip people with the essential skills to use AI 🌐 Those skills will empower employees, entrepreneurs & business owners to drive innovation and growth in the industries of the future.

In a first of its kind, Google has launched a ‘New Fundamentals’ training course to equip people with the essential skills to use AI 🌐 Those skills will empower employees, entrepreneurs & business owners to drive innovation and growth in the industries of the future.

Rt Hon Michelle Donelan

15,995 Aufrufe • vor 3 Jahren

Major program launch: Data Analytics Professional Certificate! This large, five-course sequence takes you all the way to being job-ready as a data analyst, and shows how to use Generative AI as a thought partner to enhance your work in this role. Offered by on Coursera, this is taught by Sean Barnes, Ph.D., a Data Science & Engineering Leader at Netflix. Analyzing data remains one of the most important skills in where the world is going with AI. This comprehensive certificate takes you all the way to being job-ready. Each course comes with practical projects demonstrated in real-world contexts, such as analyzing sales data for a Korean bakery, video game sales trends across different regions, or identifying factors impacting customer retention for a communications company. You'll also work on estimating fire distribution for forest fire prevention, analyzing how a diamond's properties affect its market value, and developing predictive models for retail sales analysis, carbon emissions, and coral reef conservation. Here's some of what you'll learn: - How to define data and categorize it into its many types such as discrete & continuous numerical, structured & unstructured, time series, categorical, and know what insights can be derived from the different types of data categories. - How to differentiate between data-related job roles and their responsibilities, and how data flows through an organization from the moment of capture to decision-making. - How to perform data processing functions and apply conditional formatting in spreadsheets to extract business value from your data using statistical calculations and best practices for visualizing and interpreting data. - How to use LLMs for stakeholder analysis, data exploration, and data visualization. - Best practices for using LLMs for as a thought partner to data analysis work By the end of this professional certificate program, you will have learned core statistical concepts, analysis techniques, and visualization methodologies that will serve as the foundation for working as a data analyst. The world needs more data analysts, especially ones who know how to use modern generative AI. With data science roles projected to grow 36% by 2033, the skills taught in this program create new professional opportunities in data. Sign up here!

Major program launch: Data Analytics Professional Certificate! This large, five-course sequence takes you all the way to being job-ready as a data analyst, and shows how to use Generative AI as a thought partner to enhance your work in this role. Offered by on Coursera, this is taught by Sean Barnes, Ph.D., a Data Science & Engineering Leader at Netflix. Analyzing data remains one of the most important skills in where the world is going with AI. This comprehensive certificate takes you all the way to being job-ready. Each course comes with practical projects demonstrated in real-world contexts, such as analyzing sales data for a Korean bakery, video game sales trends across different regions, or identifying factors impacting customer retention for a communications company. You'll also work on estimating fire distribution for forest fire prevention, analyzing how a diamond's properties affect its market value, and developing predictive models for retail sales analysis, carbon emissions, and coral reef conservation. Here's some of what you'll learn: - How to define data and categorize it into its many types such as discrete & continuous numerical, structured & unstructured, time series, categorical, and know what insights can be derived from the different types of data categories. - How to differentiate between data-related job roles and their responsibilities, and how data flows through an organization from the moment of capture to decision-making. - How to perform data processing functions and apply conditional formatting in spreadsheets to extract business value from your data using statistical calculations and best practices for visualizing and interpreting data. - How to use LLMs for stakeholder analysis, data exploration, and data visualization. - Best practices for using LLMs for as a thought partner to data analysis work By the end of this professional certificate program, you will have learned core statistical concepts, analysis techniques, and visualization methodologies that will serve as the foundation for working as a data analyst. The world needs more data analysts, especially ones who know how to use modern generative AI. With data science roles projected to grow 36% by 2033, the skills taught in this program create new professional opportunities in data. Sign up here!

Andrew Ng

85,012 Aufrufe • vor 1 Jahr

Distr from glasskube.dev is an open source control plane for self-managed, BYOC, and on-prem deployments. With AI on the rise, data control is critical, and enterprises are returning to self-managed solutions.

Distr from glasskube.dev is an open source control plane for self-managed, BYOC, and on-prem deployments. With AI on the rise, data control is critical, and enterprises are returning to self-managed solutions.

Y Combinator

21,388 Aufrufe • vor 1 Jahr

Important new course: Agent Skills with Anthropic, built with Anthropic and taught by Elie Schoppik! Skills are constructed as folders of instructions that equip agents with on-demand knowledge and workflows. This short course teaches you how to create them following best practices. Because skills follow an open standard format, you can build them once and deploy across any skills-compatible agent, like Claude Code. What you'll learn: - Create custom skills for code generation and review, data analysis, and research - Build complex workflows using Anthropic's pre-built skills (Excel, PowerPoint, skill creation) and custom skills - Combine skills with MCP and subagents to create agentic systems with specialized knowledge - Deploy the same skills across Claude Code, the Claude API, and the Claude Agent SDK Join and learn to equip agents with the specialized knowledge they need for reliable, repeatable workflows.

Important new course: Agent Skills with Anthropic, built with Anthropic and taught by Elie Schoppik! Skills are constructed as folders of instructions that equip agents with on-demand knowledge and workflows. This short course teaches you how to create them following best practices. Because skills follow an open standard format, you can build them once and deploy across any skills-compatible agent, like Claude Code. What you'll learn: - Create custom skills for code generation and review, data analysis, and research - Build complex workflows using Anthropic's pre-built skills (Excel, PowerPoint, skill creation) and custom skills - Combine skills with MCP and subagents to create agentic systems with specialized knowledge - Deploy the same skills across Claude Code, the Claude API, and the Claude Agent SDK Join and learn to equip agents with the specialized knowledge they need for reliable, repeatable workflows.

Andrew Ng

889,034 Aufrufe • vor 6 Monaten

The Industrial Training Fund (ITF) is calling on Nigerians to take charge of their future through the ITF‑SUPA programme. This initiative is more than training, it’s a pathway to empowerment, equipping you with globally recognized certifications and practical skills that open doors to real opportunities. Don’t wait for change, be the change. Sign up today and start your journey toward a brighter, more skilled tomorrow.

The Industrial Training Fund (ITF) is calling on Nigerians to take charge of their future through the ITF‑SUPA programme. This initiative is more than training, it’s a pathway to empowerment, equipping you with globally recognized certifications and practical skills that open doors to real opportunities. Don’t wait for change, be the change. Sign up today and start your journey toward a brighter, more skilled tomorrow.

ITFNigeria

25,288 Aufrufe • vor 7 Tagen

AI is changing what data teams are expected to build. Increasingly, the focus is on AI applications, agents, and automations that turn data into action. That’s why founder Zach Wilson is launching a free six-hour Databricks boot camp starting August 3, covering: • Building data systems with Lakebase and Postgres • Working with unstructured data, vector search, and retrieval • Building AI agents with Agent Bricks The course runs entirely in Databricks Free Edition and is designed for beginners and practitioners building practical AI data engineering skills. Join here:

AI is changing what data teams are expected to build. Increasingly, the focus is on AI applications, agents, and automations that turn data into action. That’s why founder Zach Wilson is launching a free six-hour Databricks boot camp starting August 3, covering: • Building data systems with Lakebase and Postgres • Working with unstructured data, vector search, and retrieval • Building AI agents with Agent Bricks The course runs entirely in Databricks Free Edition and is designed for beginners and practitioners building practical AI data engineering skills. Join here:

Databricks

21,067 Aufrufe • vor 24 Tagen

The next DeepTech_Ready cohort is now open, and I encourage Nigerians who are ready to advance their expertise in AI, Data Science, and emerging technologies to apply here - The program is designed to equip you with practical, industry-relevant skills and hands-on experience that prepare you for real opportunities. If you’re ready to grow, learn, and contribute meaningfully to our digital economy, this is another opportunity for you. Applications are open. Register via

The next DeepTech_Ready cohort is now open, and I encourage Nigerians who are ready to advance their expertise in AI, Data Science, and emerging technologies to apply here - The program is designed to equip you with practical, industry-relevant skills and hands-on experience that prepare you for real opportunities. If you’re ready to grow, learn, and contribute meaningfully to our digital economy, this is another opportunity for you. Applications are open. Register via

Dr. 'Bosun Tijani

21,380 Aufrufe • vor 6 Monaten

New JavaScript short course: Build a full-stack web application that uses RAG in JavaScript RAG Web Apps with LlamaIndex, taught by Laurie Voss, VP of Developer Relations at LlamaIndex 🦙 and npm co-founder. - Build a RAG application for querying your own data - Develop tools to interact with multiple data sources using an agent that intelligently selects the right tool for your queries - Create a full-stack web app that can chat with your data - Dig further into production-ready techniques, like how to persist your data so you aren’t constantly reindexing, and try the create-llama command line tool from LlamaIndex You can sign up here:

New JavaScript short course: Build a full-stack web application that uses RAG in JavaScript RAG Web Apps with LlamaIndex, taught by Laurie Voss, VP of Developer Relations at LlamaIndex 🦙 and npm co-founder. - Build a RAG application for querying your own data - Develop tools to interact with multiple data sources using an agent that intelligently selects the right tool for your queries - Create a full-stack web app that can chat with your data - Dig further into production-ready techniques, like how to persist your data so you aren’t constantly reindexing, and try the create-llama command line tool from LlamaIndex You can sign up here:

Andrew Ng

218,703 Aufrufe • vor 2 Jahren

I've teamed up with The Trailblazery to create Scoil Scairte, an online immersion into the heart of Irish language, culture and heritage. It's a self-paced educational journey into the culture, language, magic, spirit & grammar of the Irish language.

I've teamed up with The Trailblazery to create Scoil Scairte, an online immersion into the heart of Irish language, culture and heritage. It's a self-paced educational journey into the culture, language, magic, spirit & grammar of the Irish language.

Manchán Magan

19,854 Aufrufe • vor 2 Jahren

New short course on Pretraining LLMs! Developed with Upstage and taught by their CEO Sung Kim and CSO Lucy Park. While prompting or fine-tuning existing models works well for many general language tasks, pretraining is valuable for specialized domains or languages with limited representation in current models. This course walks you through the LLM pretraining pipeline: 1. Data preparation: Learn to source, clean, and prepare training data using HuggingFace. 2. Model architecture: Configure transformer networks, including modifying existing models. 3. Training: Set up and run training using open-source libraries. 4. Evaluation: Benchmark performance using popular evaluation strategies. As an example use case, you'll also compare the output of a base model with its fine-tuned and further pretrained variants, to see the impact of pretraining on a model's ability to write Python. The course also explores an innovative technique called depth up-scaling, which Upstage used to train their Solar model family, reducing pretraining compute costs by up to 70%. This technique works by first duplicating layers of a smaller pretrained model to form a larger model, and then further pretraining the result. Sign up here!

New short course on Pretraining LLMs! Developed with Upstage and taught by their CEO Sung Kim and CSO Lucy Park. While prompting or fine-tuning existing models works well for many general language tasks, pretraining is valuable for specialized domains or languages with limited representation in current models. This course walks you through the LLM pretraining pipeline: 1. Data preparation: Learn to source, clean, and prepare training data using HuggingFace. 2. Model architecture: Configure transformer networks, including modifying existing models. 3. Training: Set up and run training using open-source libraries. 4. Evaluation: Benchmark performance using popular evaluation strategies. As an example use case, you'll also compare the output of a base model with its fine-tuned and further pretrained variants, to see the impact of pretraining on a model's ability to write Python. The course also explores an innovative technique called depth up-scaling, which Upstage used to train their Solar model family, reducing pretraining compute costs by up to 70%. This technique works by first duplicating layers of a smaller pretrained model to form a larger model, and then further pretraining the result. Sign up here!

Andrew Ng

85,714 Aufrufe • vor 2 Jahren

🗺️ For the first time ever, explore the underground war Hamas is waging beneath Gaza. We've mapped Hamas’ tunnel network—buried under homes, hospitals, & schools. Built with open-source data, it’s the only resource of its kind. Explore the map here:

🗺️ For the first time ever, explore the underground war Hamas is waging beneath Gaza. We've mapped Hamas’ tunnel network—buried under homes, hospitals, & schools. Built with open-source data, it’s the only resource of its kind. Explore the map here:

HonestReporting

229,370 Aufrufe • vor 1 Jahr

Learn to train an LLM with distributed data while ensuring privacy using federated learning in a new two-part short course, Intro to Federated Learning and Federated Fine-tuning of LLMs with Private Data, created with Flower and taught by Daniel J. Beutel and Nicholas Lane. Federated learning allows a single model to be trained across multiple devices, such as phones, or multiple organizations, such as hospitals, without the need to share data to a central server. This two-part course gives you an introduction to federated learning, and then teaches you how to fine-tune your large language model with distributed data using Flower Lab’s open source federated learning framework. You’ll learn: - How to use federated learning to train a variety of models, ranging from speech and vision models to LLMs, across distributed data while offering data privacy options to users and organizations. - Privacy Enhancing Technologies like differential privacy (DP), which obscures individual data by adding calibrated noise to query results. - Two variants of differential privacy - Central and Local - and how to choose depending on your use case. - How to measure and decrease bandwidth usage to make federated learning more practical and efficient with techniques like using pre-trained models and Parameter-Efficient Fine-Tuning - How federated LLM fine-tuning reduces the risk of leaking training data. Sign up here!

Learn to train an LLM with distributed data while ensuring privacy using federated learning in a new two-part short course, Intro to Federated Learning and Federated Fine-tuning of LLMs with Private Data, created with Flower and taught by Daniel J. Beutel and Nicholas Lane. Federated learning allows a single model to be trained across multiple devices, such as phones, or multiple organizations, such as hospitals, without the need to share data to a central server. This two-part course gives you an introduction to federated learning, and then teaches you how to fine-tune your large language model with distributed data using Flower Lab’s open source federated learning framework. You’ll learn: - How to use federated learning to train a variety of models, ranging from speech and vision models to LLMs, across distributed data while offering data privacy options to users and organizations. - Privacy Enhancing Technologies like differential privacy (DP), which obscures individual data by adding calibrated noise to query results. - Two variants of differential privacy - Central and Local - and how to choose depending on your use case. - How to measure and decrease bandwidth usage to make federated learning more practical and efficient with techniques like using pre-trained models and Parameter-Efficient Fine-Tuning - How federated LLM fine-tuning reduces the risk of leaking training data. Sign up here!

Andrew Ng

64,609 Aufrufe • vor 2 Jahren