Have you checked out our free, hands-on training for learning generative #AI skills? Explore our courses, tutorials, trials, and open source projects: https://ibm.co/45F79vc
About us
Learn in-demand skills, build solutions with real sample code and engage in open source innovation.
- Website
-
https://developer.ibm.com
External link for IBM Developer
- Industry
- IT Services and IT Consulting
- Company size
- 10,001+ employees
- Headquarters
- New York, NY
- Founded
- 1911
- Specialties
- developers, cloud, artificial intelligence, blockchain, nodejs, Swift, Data science, AI, and serverless
Updates
-
Complete the new Call for Code AI Knowledge Challenge What is generative AI and how can it be applied? This free training course is now available to Call for Code participants. In less than 2 hours, get hands-on experience to help you understand generative AI using IBM watsonx. If you finish the course by May 1, you’ll earn a tile to share on your social media to tell others what you’ve learned. Win $1,000 USD! Additional monthly #AI courses will be announced and those who complete them all by October 17 will qualify to enter a final Knowledge Challenge for an opportunity to win $1,000 USD, so stay tuned for more details. Click the link to sign up for the Global Challenge to access this course as well as expert mentors and additional generative AI training: https://ibm.co/3UohDej --- #CallforCode #techforgood
-
Open Source Summit North America 2024 is happening this week! IBM senior open source developer Sahdev Zala is there — check out the topics he and other IBM open source experts are talking about, from AI to quantum to cloud. Explore our blog post as your guide to the event: https://ibm.co/3VWFxjn ----- #opensourcesoftware #AI #quantum
-
Explore our interesting article series that details the layers of IBM's generative #AI tech stack. Click here to know more: https://ibm.co/3W37cz1
-
Get started with our beginner tutorial that provides an overview for how to use scikit-learn to create a confusion matrix and compute common evaluation metrics in Python for a simple binary classification problem. Start your learning journey now: https://ibm.co/43UmRT4
-
Discover our step by step tutorial, as we introduced you to XGBoost and how it uses gradient boosting to combine the strengths of multiple decision trees for strong predictive performance and interpretability. Click here to learn more: https://ibm.co/3vKGuk6 --- #AI #developer
-
Hello, Data and AI enthusiasts! Check out IBM Developer's new Data and AI Newsletter for exciting updates on data and AI trends, tutorials, THINK 2O24 and other items of interest. Click here to know more: https://ibm.co/4aHMfhd --- #AI #newsletter #developer
-
IBM is proud to participate in Open Source Summit North America 2024 and will have presentations on variety of topics from various IBM speakers, leaders, and executives. Explore our blog post as a guide to make the most of the event: https://ibm.co/3J7bqhj We hope to meet you at the conference! 🎉
-
Gain insight into the process of testing data ingestion to watsonx.data using local Spark. The hands-on experience helps you grasp the details of lakehouse technology more effectively and explore its potential applications within your specific context: https://ibm.co/3xmCyGG