Something fun: AI Avatar of me built, by https://t.co/zpIxRSuky4 and @realavatarai.
Video has details. This is a work in progress, but please come chat with me in avatar form, and let me know what you think!
https://t.co/vMO2CM0xfb
Thank you Jeff Daniel @consciouspilot and team for working with us on this!
I am shocked people still don't know, how to make money with ChatGPT.
While all you need is:
- A smartphone
- WiFi
- 60 minutes a day
I have just created a step-by-step guide to help you.
Like & comment "Guide" and I will DM it to you. For the next 24 hours, it's FREE. 🕒
(Must follow to receive DM)
This is the one negotiating book that really opened my eyes and gave me practical tools I could use immediately. If you’re hungry for more, William Ury’s Getting Past No and G. Richard Shell’s Bargaining for Advantage: Negotiation Strategies for Reasonable People are outstanding.
I will do a giveaway to celebrate the holidays and Christmas.
Today, I will give away ten copies of Learning Python for Data, the best book to get you up to speed with Python if you intend to use it for data.
Ask any data professional what language you should learn, and they will say Python*.
Why Python?
Because it is the language of data and AI. If you want to create predictive models with XGBoost, leverage deep learning, or dive into AI, most of these use Python.
However, most Python learning content is either very general, "academic" Python, or dives into useless details.
Learning Python for Data is my solution for that. It teaches Python from first principles and has examples focused on data. It gives an overview of Pandas and NumPy to give you a feel for them. This is your solution if you want to create a predictive model or start using AI, but the Python code is a barrier.
I will give away ten copies for Christmas. To enter, like this post and comment on why you want to learn Python.
(Full disclosure: Can you use other languages for data and AI? Yes, but your path will be hard and lonely.)
* 90% confidence level.
In 1970, the Container Corporation of America organized a design competition to create a symbol for recycled paper. Gary Anderson, a 23-year-old engineering student at the University of Southern California, submitted his design and won the contest. The design, which consisted of three arrows forming a loop, was inspired by Anderson's previous work on a graphic depicting the flow of water through a system. Anderson's logo was released into the public domain and has since become an internationally recognized symbol for recycling. Despite its widespread use, Anderson only received a prize of around $2,000 for his winning design.
Calling all cloud developers: New training on Duet AI in Google Cloud is here!
Check out all the role-based courses:
- Duet AI for App Developers
- Duet AI for Cloud Architects
- Duet AI for end-to-end SDLC
- Duet AI for Network Engineers
+ more ↓ https://t.co/KGt03D8aD2
On the third day of learning, Google Cloud gives to you: An intro to #generativeAI course.
This no-cost course is stuffed with info on what gen AI is, how it is used, and how it differs from traditional #ML methods—and we've hung it with care, here → https://t.co/kqlvjp5ysj
Today developers can start building with our first version of Gemini Pro through Google AI Studio at https://t.co/rCsWHcHvEe.
Developers have a free quota and access to a full range of features including function calling, embeddings, semantic retrieval, custom knowledge grounding, chat functionality and more. It supports 38 languages across 180+ countries. Gemini Ultra is coming early next year. We’re excited to see what you build! https://t.co/6rUrrgKvKe
It is great to be one of the first readers of this amazing book: The Software Engineer's Guidebook.
Gergely spent four years writing it. The book provides a roadmap for a typical software engineering career, starting as a fresh-faced software developer and progressing to a senior/lead role model, all the way up to the staff/principal/distinguished level.
What's inside?
Part 1: Developer Career Fundamentals
1. Career paths
2. Owning your career
3. Performance reviews
4. Promotions
5. Thriving in different environments
6. Switching jobs
Part 2: The Competent Software Developer
7. Getting things done
8. Coding
9. Software development
10. Tools of the productive engineer
Part 3: The Well-Rounded Senior Engineer
11. Getting things done
12. Collaboration and teamwork
13. Software engineering
14. Testing
15. Software architecture
Part 4: The Pragmatic Tech Lead
16. Project management
17. Shipping in production
18. Stakeholder management
19. Team structure
20. Team dynamics
Part 5: Role-Model Staff and Principal Engineers
21. Understanding the business
22. Collaboration
23. Software engineering
24. Reliable software engineering
25. Software architecture
If you are interested, you can check out the book here: https://t.co/Fw29WPTQTN
NEW POST: As React UI controls become more sophisticated, complex logic can get intertwined with the visual representation: hard to reason about, hard to test. @JuntaoQiu tackles this with a Headless Component, separating the brain from its looks.
https://t.co/VRRcdSrb1J