Don't miss learning ML (No Code): from Concepts to a Demo
Welcome to our comprehensive guide on mastering ML or machine learning fundamentals with Data Robot, Obviously AI, Azure ML Studio and Apple's Create ML. In this video, we dive deep into four key concepts, four essential algorithms, and four powerful tools that are fundamental to understanding and applying machine learning. Whether you’re a beginner or looking to refine your skills, this tutorial will provide you with actionable insights and practical knowledge to elevate your understanding and application of machine learning.
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🗂 Relevant Links to the video:
🔸 10 Top Machine Learning Algorithms & Their Use-Cases: https://www.datacamp.com/blog/top-mac...
🔸 Deep Learning (DL) vs Machine Learning (ML): https://www.datacamp.com/tutorial/mac...
🔸 Top 10 Machine Learning demos of 2022 from Data Science Dojo: https://datasciencedojo.com/blog/top-...
🔸 ObviouslyAI: https://www.obviously.ai/
🔸 DataRobot: https://www.datarobot.com/
🔸 Azure ML: https://azure.microsoft.com/en-us/pro...
🔸 Apple ML: https://developer.apple.com/machine-l...
🔸 AWS Sagemaker: https://aws.amazon.com/pm/sagemaker/
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💡 Discover tools that simplify technology, as I learn and share ways to create and optimize without writing a line of code or at least learning how AI can do it for us. It's about making tech work for us, the non-coders.
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⏰ Chapters:
00:00 Intro and why machine learning?
01:40 What are the Machine Learning fundamental concepts
04:11 What is the difference between deep learning and machine learning
10:03 What are the different types of machine learning?
19:10 What are the top machine learning algorithms?
24:05 source for use cases and demos for machine learning?
25:36 How do we find and assess our data set for machine learning?
27:58 looking into @ObviouslyAI tool
29:10 Full review, model build, training, and deployment with an application on @DataRobot
44:15 quick look at @MicrosoftAzure ML Studio (my choice for learning & building)
48:00 Trying out Apple's X-Code Create ML
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#GiveMeTheMic #ML #MachineLearning #DataScience
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