#3 – Deep Supervised Learning In Action
In AI Simplified episode three, we chat about Deep Supervised Learning and implications for people and organizations.
- Supervised vs. Unsupervised Learning
- Training Deep Learning Models
- Deep Learning In Action
- Using AI to apply cosmetics to the human face
- What this means for businesses
Skip, recap, or review with timestamps:
0:54 Difference between Machine Learning & Deep Machine Learning
3:02 Supervised vs. Unsupervised Learning
3:48 Attributes & Labels
6:24 Consumer Attributes – Approving Loans
8:45 Why is it called “Supervised Learning”?
10:12 Cats & Dogs
13:30 College Applications
16:40 Reviewing X-Rays
22:49 Training Deep Learning Models
28:19 Peeks & Valleys – Landscape of Training Models
31:02 Autonomous Vehicles
32:29 COVID, Human Bodies & Cells
35:37 Deep Supervised Learning vs. Human Ability To Make Decisions
35:27 Rover on Mars
42:09 How Many Decisions are Needed for Brain to Reach Competency
44:44 Cell Phones
46:50 Computers Will Disappear
48:39 Human Face AI Demo
58:57 Unsupervised Learning
1:01:49 What Should Businesses Do?
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Why a podcast about human-centered AI?
”People are either talking about artificial intelligence (AI), machine learning, deep learning, etc. in a very technical way or not at all. Having studied Computer Science and Advanced Analytics and created an AI - advanced analytics supply chain company, I understand first-hand how valuable the field is, but not everyone does. I want to change that. We can all learn principles of AI and implement them in very practical ways. Whether you want to automate a part of your business or create a new business altogether, AI can help you. My goal through this podcast is to simplify AI.
Calling it a podcast gives you a broad understanding of how we'll communicate, but the format will be much more engaging than just audio. However, you can listen to AI Simplified like a traditional podcast too.Amjad HussainFounder + Chief Executive Officer, Algo
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About the host
Amjad Hussain is an entrepreneur at heart. He founded Algo where he is the CEO during the day and AI lego blocks designer at night. He has built an intrinsically motivated global team of deep business domain experts, AI architects, computer scientists and software engineers. Algo is an always on full stack platform with deep learning, augmented reality and workflow automation woven at its core. The platform has a conversational virtual business analyst persona as its primary user interface. The company is enjoying sustainable growth creating tremendous net new value for its customers world-wide.
Amjad completed his Bachelors in Electrical Engineering with Honors from UET Lahore. He earned his Master’s degree in Electrical Engineering & Computer Science from UMIST, in the United Kingdom and an Advanced Analytics MBA from MIT. He has completed general management programs at Harvard and Stanford business schools. Amjad deeply cares about ethical issues surrounding AI and its societal impact.