ChatGPT and AI mastery - how to get started in AI.
Big thanks to Brilliant for sponsoring this video! Get started with a 20% discount using this link: https://brilliant.org/davidbombal

How do you capitalize on this trend and learn AI? Dr Mike Pound of Computerphile fame tells us how to ride this wave. If you are into cybersecurity or any other tech field, you probably want to learn about AI and ML. They can really help your resume and help you increase the $$$ you earn.

AI just become Sentient? And will it take your job? Or is AI just a fantastic opportunity for you to get a better job? In this interview with Dr Michael Pound we discuss hype vs reality and get a quick start guide on how to learn AI. 

// MENU //
00:00 - Coming up
00:40 - Sponsored segment
02:28 - A.I. Hype // Should we be worried?
03:37 - Amazing but flawed
08:07 - Is it worth it getting into CompSci?
10:02 - Knowing A.I. makes you valuable // Learn A.I.
13:43 - Resources for learning A.I.
15:58 - Should you get into CompSci?
17:35 - Enhancing your career with A.I.
20:16 - The limits of A.I.
24:57 - A.I in academics // How A.I. affects academic work
31:02 - Conclusion

// Previous Videos //
I challenged ChatGPT to code and hack: https://youtu.be/Fw5ybNwwSbg
The truth about AI and why you should learn it - Computerphile explains: https://youtu.be/PH9RQ6Yx75c

// BOOK //
Deep learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville: https://amzn.to/3vmu4LP

// Courses and tutorials //
AI For Everyone by Andrew Ng: https://www.coursera.org/learn/ai-for...
PyTorch Tutorial From Research to Production:
https://www.infoq.com/presentations/p...
Scikit-learn Machine Learning in Python:
https://scikit-learn.org/stable/

// PyTorch //
Github: https://github.com/pytorch
Website: https://pytorch.org/
Documentation: https://ai.facebook.com/tools/pytorch/

// Mike SOCIAL //
Twitter: https://twitter.com/_mikepound
YouTube: https://www.youtube.com/user/Computer...
Website: https://www.nottingham.ac.uk/research...

// David SOCIAL //
Discord: https://discord.com/invite/usKSyzb
Twitter: https://www.twitter.com/davidbombal 
Instagram: https://www.instagram.com/davidbombal 
LinkedIn: https://www.linkedin.com/in/davidbombal 
Facebook: https://www.facebook.com/davidbombal.co 
TikTok: http://tiktok.com/@davidbombal
YouTube: https://www.youtube.com/davidbombal 

// MY STUFF //
https://www.amazon.com/shop/davidbombal

// SPONSORS //
Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com

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Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! 

#chatgpt #computerphile  #ai

#415: Roadmap to ChatGPT and AI mastery

Will Artificial Intelligence eat networking? Will AI replace network engineers? In this video I ask a top Cisco AI expert.

Big thank you to Cisco for sponsoring my Cisco Live EMEA trip and this video. 

// MENU //
00:00 - Coming up
00:53 - Will AI take our jobs away
02:57 - JP's background
03:46 - How machine learning is changing networking
06:39 - How machine learning works
09:33 - How predictive networks work
11:52 - Letting the AI learn // The quality vs quantity
15:29 - AI integrated Cisco products
17:00 - How to start learning AI
18:29 - Skills to learn 
18:55 - Learning AI in networking context
20:52 - Is it difficult to learn AI?
21:40 - AI making things easier
22:38 - Roadmap to learning AI
25:06 - It's not too late to learn AI
26:00 - Conclusion

// JP's Social //
Linkedin: https://fr.linkedin.com/in/jp-vasseur...
Twitter: https://twitter.com/jpvasseur
Cisco Blogs: https://blogs.cisco.com/author/jpvasseur

// David's Social //
Discord: https://discord.gg/davidbombal
Twitter: https://www.twitter.com/davidbombal 
Instagram: https://www.instagram.com/davidbombal 
LinkedIn: https://www.linkedin.com/in/davidbombal 
Facebook: https://www.facebook.com/davidbombal.co 
TikTok: http://tiktok.com/@davidbombal
YouTube Main Channel: https://www.youtube.com/davidbombal 
YouTube Tech Channel: https://youtube.com/channel/UCZTIRrEN...
YouTube Clips Channel: https://www.youtube.com/channel/UCbY5...
YouTube Shorts Channel: https://www.youtube.com/channel/UCEyC...
Apple Podcast: https://davidbombal.wiki/applepodcast
Spotify Podcast: https://open.spotify.com/show/3f6k6gE...

// MY STUFF //
https://www.amazon.com/shop/davidbombal

// SPONSORS //
Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com

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chatgpt hype
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google ai
artificial intelligence
google ai sentient
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google ai sentient conversation
google ai alive
ai jobs

Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! 

#chatgpt #ai  #artificialintelligence

#418: Will ChatGPT take our jobs?

Train your own AI using this free Lab created by Dr Mike Pound.
Big thanks to Brilliant for sponsoring this video! Get started with a free 30 day trial and 20% discount: https://brilliant.org/DavidBombal

How do you capitalize on this trend and learn AI? Dr Mike Pound of Computerphile fame shows us practically how to train your own AI. And the great news is that he has shared his Google colab lab with us to you can start learning for free! If you are into cybersecurity or any other tech field, you probably want to learn about AI and ML. They can really help your resume and help you increase the $$$ you earn.

Machine Learning / Artificial Intelligence is a fantastic opportunity for you to get a better job. Start learning this amazing technology today and start learning with one of the best!

// LAB //
Go here to access the lab: https://colab.research.google.com/dri...

 // Previous Videos //
Roadmap to ChatGPT and AI mastery:   

 • Roadmap to ChatGP...  
I challenged ChatGPT to code and hack:   

 • I challenged Chat...  
The truth about AI and why you should learn it - Computerphile explains:   

 • The truth about A...  

// Dr Mike's recommend AI Book //
Deep learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville: https://amzn.to/3vmu4LP

// Dawid's recommend Books //
1. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: https://amzn.to/3IrGCHi
2. Pattern Recognition and Machine Learning: https://amzn.to/3IWVm2v
3. Machine Learning: A Probabilistic Perspective: https://amzn.to/3xYFM05
4. Python Machine Learning: https://amzn.to/3y0r08Q
5. Deep Learning: https://amzn.to/3kxSbVu
6. The Elements of Statistical Learning: https://amzn.to/3Iwuuox
7. Linear Algebra and Its Applications: https://amzn.to/3EGwMAs
8. Probability Theory:  https://amzn.to/3IrGeZm
9. Calculus: Early Transcendentals: https://amzn.to/3Z3Eugh
10. Discrete Mathematics with Applications: https://amzn.to/3Zpzpyt
11. Mathematics for Machine Learning: https://amzn.to/3m8jp5N
12. A Hands-On Introduction to Data Science: https://amzn.to/3Szob8c
13. Introduction to Algorithms: https://amzn.to/3xXo50K
14. Artificial Intelligence: https://amzn.to/3Z2fqGv

// Courses and tutorials //
AI For Everyone by Andrew Ng: https://www.coursera.org/learn/ai-for...
PyTorch Tutorial From Research to Production:
https://www.infoq.com/presentations/p...
Scikit-learn Machine Learning in Python:
https://scikit-learn.org/stable/
// PyTorch //
Github: https://github.com/pytorch
Website: https://pytorch.org/
Documentation: https://ai.facebook.com/tools/pytorch/

// Mike SOCIAL //
Twitter: https://twitter.com/_mikepound
YouTube:   

 / computerphile  
Website: https://www.nottingham.ac.uk/research...

// David SOCIAL //
Discord: https://discord.com/invite/usKSyzb
Twitter: https://www.twitter.com/davidbombal 
Instagram: https://www.instagram.com/davidbombal 
LinkedIn: https://www.linkedin.com/in/davidbombal 
Facebook: https://www.facebook.com/davidbombal.co 
TikTok: http://tiktok.com/@davidbombal
YouTube:   

 / davidbombal   

// MY STUFF //
https://www.amazon.com/shop/davidbombal

// SPONSORS //
Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com

Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! 

#chatgpt #computerphile #ai

#419: Free AI Lab (ft Dr Mike Pound of Computerphile fame)

5 phút để hiểu về deep learning đủ để chém gió với đồng nghiệp bạn bè

Cafe AI - Deep Learning, nó là sao?

Vatch AI Demo

In this episode of the Micro binfie Podcast, host Andrew Page sits down with Tim Dallman at the 10th Bioinformatics Hackathon in Bethesda, Maryland. Tim shares insights from his work at Utrecht University in the Netherlands, where he focuses on genomic surveillance and machine learning models to predict disease risk and severity. They discuss the challenges of integrating genomic variation into predictive models, the importance of high-quality metadata, and the complexities of working with pathogens like Shiga toxin-producing E. coli. Tim also talks about his role at the WHO Pandemic and Epidemic Intelligence Hub and how global collaboration can drive innovation in public health genomics. Tune in to hear about cutting-edge research, the importance of interdisciplinary teamwork, and how genomic data can be harnessed for future pandemic preparedness.

130 Exploring Genomic Innovation and Machine Learning in Public Health

Big thanks to Brilliant for sponsoring this video!  To try everything Brilliant has to offer for free for a full 30 days and 20% discount visit: https://Brilliant.org/DavidBombal

// Mike SOCIAL //
X:   / _mikepound   
Website: https://www.nottingham.ac.uk/research...

//  YouTube video reference //
Teach your AI with Dr Mike Pound (Computerphile):    • Train your AI with Dr Mike Pound (Com...  
Has Generative AI Already Peaked? - Computerphile:    • Has Generative AI Already Peaked? - C...  

// Courses Reference //
Deep Learning: https://www.coursera.org/specializati...
AI For Everyone by Andrew Ng: https://www.coursera.org/learn/ai-for...
Pytorch Tutorials: https://pytorch.org/tutorials/
Pytorch Github: https://github.com/pytorch/pytorch
Pytorch Tensors: https://pytorch.org/tutorials/beginne...
https://pytorch.org/tutorials/beginne...
https://pytorch.org/tutorials/beginne...
Python for Everyone: https://www.py4e.com/

// BOOK //
Deep learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville: https://amzn.to/3vmu4LP

// PyTorch //
Github: https://github.com/pytorch
Website: https://pytorch.org/
Documentation:   / pytorch  

// David's SOCIAL // 

Discord: discord.com/invite/usKSyzb
Twitter: www.twitter.com/davidbombal
Instagram: www.instagram.com/davidbombal
LinkedIn: www.linkedin.com/in/davidbombal
Facebook: www.facebook.com/davidbombal.co
TikTok: tiktok.com/@davidbombal 

// MY STUFF //
 https://www.amazon.com/shop/davidbombal 

// SPONSORS // 
Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com

// MENU //
0:00 - Coming Up
0:43 - Introduction
01:04 - State of AI in 2025
02:10 - AGI Hype: Realistic Expectations
03:15 - Sponsored Section
04:30 - Is AI Plateauing or Advancing?
06:26 - Overhype in AI Features Across Industries
08:01 - Is It Too Late to Start in AI?
09:16 - Where to Start in 2025
10:20 - Recommended Courses and Progression Paths
13:26 - Should I Go to School for AI?
14:18 - Learning AI Independently with Resources Online
17:24 - Machine Learning Progression
19:09 - What is a Notebook?
20:10 - Is AI the Top Skill to Learn in 2025?
23:49 - Other Niches and Fields
25:05 - Cyber Using AI
26:31 - AI on Different Platforms
27:13 - AI isn’t Needed Everywhere
29:57 - Leveraging AI
30:35 - AI as a Productivity Tool
31:55 - Retrieval Augmented Generation
33:28 - Concerns About Privacy with AI
36:01 - The Difference Between GPU’s, CPU’s, NPU’s etc.
37:30 - The Release of Sora38:56 - Will AI Take Our Job?
41:00 - Nvidia Says We Don’t Need Developers
43:47 - Devin Announcement
44:59 - Conclusion


Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! 

Disclaimer: This video is for educational purposes only.

How To Learn AI in 2025 (If I Started Over)

#490: How To Learn AI in 2025 (If I Started Over)

Welcome to AI with Shaily! 👋 I’m Shailendra Kumar, and today we’re diving into a fascinating and furry frontier of artificial intelligence—decoding emotions in wildlife using machine learning. 🐄🐗 Imagine an AI that can listen in on a cow or a wild boar and tell if it’s happy or grumpy. Sounds like the start of a new animal soap opera, right? 📺 But behind this cool tech lies some deep ethical puzzles we need to explore.

Recently, a groundbreaking study from the University of Copenhagen made headlines by training a machine learning model to detect positive or negative emotions across seven ungulate species—think cows, pigs, and wild boars—just by analyzing their vocalizations. 🎙️ This AI nailed it with nearly 90% accuracy! What’s truly impressive is that it discovered shared emotional cues in sound—like pitch shifts and energy levels—that seem to be evolutionarily conserved. 🧬 It’s as if animals speak their feelings in a universal language, and our AI translator is finally learning to understand. 🌍

This brings me to a personal story from a farm visit last year. Watching cows grazing peacefully, I wondered if they experience moments of joy or stress that we humans often overlook. 🐄💭 If AI can reliably decode these feelings, imagine the possibilities for improving animal welfare and conservation efforts! 🌱 But here’s the catch—how do we make sure we’re interpreting these signals correctly? Could we be projecting human emotions onto animals? 🤔 And who decides what’s ‘good’ or ‘bad’ for them based on AI’s readings?

These questions lead us into a dense ethical thicket. 🌳 Decoding animal emotions raises concerns about consent—can animals agree to this kind of monitoring? There’s also the risk of misuse, privacy invasion, and whether AI insights might justify interventions that disrupt natural behaviors or ecosystems. 🐾 Plus, there’s a bigger philosophical question about moral agency: should AI tools influence how we treat wildlife or make decisions for them? 🤖⚖️

Social media is buzzing with excitement and alarm. 🐝 People are thrilled about the idea of an “animal emotion translator” but also wary of scenarios that feel like ‘Big Brother meets the barnyard’. 📡🐄 It highlights our responsibility to balance innovation with respect for animal autonomy and ecosystem health. 🌿

Here’s a bonus tip for all AI enthusiasts thinking about ethical machine learning applications: always combine algorithmic insights with domain expertise and stakeholder engagement. 🧑‍🔬👩‍🌾 Don’t trust the model blindly—consult ethics watchdogs, ecologists, and sometimes even the farmers themselves. 🤝

I’ll leave you with a thought from philosopher Peter Singer: “The question is not, Can they reason? nor, Can they talk? but, Can they suffer?” 💭 As AI begins to listen to the voices of animals, let’s honor their feelings with genuine care and wisdom. 💙

If you enjoyed this deep dive into AI’s emotional intelligence for our fellow creatures, follow me, Shailendra Kumar, on YouTube, Twitter, LinkedIn, and Medium for more insights. 📱💻 Don’t forget to subscribe and share your thoughts—do you think AI will truly help or complicate our relationship with wildlife? 🌟 Until next time, keep questioning and stay curious! 🔍✨

AI Decoding Animal Emotions: The Future and Ethics of Listening to Wildlife

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

Want to learn about IT? Want to get ahead in your career?  Well, this is the right place! 

On this channel, I discuss Python, Ethical Hacking, Networking, Network Automation, CCNA, Virtualization and other IT related topics.
   
This YouTube channel has new videos every week! Subscribe for technical, detailed, no fluff content.

David’s details:
Discord: https://discord.com/invite/usKSyzb
Twitter: https://www.twitter.com/davidbombal 
Instagram: https://www.instagram.com/davidbombal 
LinkedIn: https://www.linkedin.com/in/davidbombal 
Facebook: https://www.facebook.com/davidbombal.co 
Website: http://www.davidbombal.com  
YouTube: https://www.youtube.com/davidbombal 

All the best!
David

Microbial Bioinformatics is a rapidly changing field marrying computer science and microbiology. Join us as we share some tips and tricks we’ve learnt over the years. If you’re student just getting to grips to the field, or someone who just wants to keep tabs on the latest and greatest - this podcast is for you. 

The hosts are Dr. Lee Katz from the Centres for Disease Control and Prevention (US), Dr. Nabil-Fareed Alikhan from the University of Oxford (UK), and Prof. Andrew Page from Theiagen Genomics (UK) and bring together years of experience in microbial bioinformatics.

The opinions expressed here are our own and do not necessarily reflect the views of Centres for Disease Control and Prevention, University of Oxford or Theiagen Genomics.

Intro music : Werq - Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 3.0 License
http://creativecommons.org/licenses/by/3.0/

Outro music : Scheming Weasel (faster version) - Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 3.0 License
http://creativecommons.org/licenses/by/3.0/

Question and comments? microbinfie@gmail.com

New tracks tagged #machine_learning