First Machine Learning Model covers the foundational concepts and techniques needed to build and validate a machine learning model. This topic is perfect for beginners who want to get hands-on with tools like Scikit-Learn, XGBoost, and Flax. Expect to learn about practical applications such as predicting house prices and handling datasets, along with insights from real-world projects like creating AI employees and training large language models.
30:57
20:09
17:01
10:08
![Math vs AI: Who Decides What's True? [Dr. Paul Lessard]](https://img.youtube.com/vi/TBjCvB_4mdo/mqdefault.jpg)
46:30
14:27
29:29
11:27
05:39
The third AI workshop taught by our legendary teacher, Nick Sarafa. This is a full-day hands-on training workshop for purposeful co-creation with AI using Claude Code. Imagine having access to hundreds of billions of dollars of computing power and knowing exactly how to make it work for you through the power of super intelligence.
59:26
11:21
15:38
06:19
47:17
13:27
23:40
1:18:16
20:35
15:12
19:46
16:13
55:43
18:07
47:25
Let us build it for you. Design and engineering from the people who shipped platforms to billions of users. AI-native, live in weeks, and yours outright at the end.
One a week, never sold on, and one click to stop.
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