<story><title>Generative AI for Beginners</title><url>https://microsoft.github.io/generative-ai-for-beginners/#/</url></story><parent_chain><item><author>andreygrehov</author><text>Is there a learning path for someone who hasn&amp;#x27;t done &lt;i&gt;any&lt;/i&gt; AI&amp;#x2F;ML ever? I asked ChatGPT, it recommended to start from linear algebra, then calculus, followed by probability and statistics. Phase 2 would be Fundamentals of ML. Phase 3 - Deep Learning and NN. And so on. I don&amp;#x27;t know how accurate these suggestions are. I&amp;#x27;m an SDE.</text></item></parent_chain><comment><author>derangedHorse</author><text>This isn’t the correct path to learn the basics of deep learning. Take Andrew Ngs Intro to Machine Learning and Deep Learning Coursera classes. I also hear Deep Learning by Goodfellow and company is pretty good too, although I haven’t read it myself.&lt;p&gt;If you revisit all of a standard Calculus or Linear Algebra curriculum you will WASTE time. Learn the relevant math taught in the ai courses or the beginning chapters of deep learning books, not the irrelevant 90% of each introductory course. I say this as someone who actually used to build neural networks from scratch around 10 years ago and lost interest.</text></comment>
<story><title>Generative AI for Beginners</title><url>https://microsoft.github.io/generative-ai-for-beginners/#/</url></story><parent_chain><item><author>andreygrehov</author><text>Is there a learning path for someone who hasn&amp;#x27;t done &lt;i&gt;any&lt;/i&gt; AI&amp;#x2F;ML ever? I asked ChatGPT, it recommended to start from linear algebra, then calculus, followed by probability and statistics. Phase 2 would be Fundamentals of ML. Phase 3 - Deep Learning and NN. And so on. I don&amp;#x27;t know how accurate these suggestions are. I&amp;#x27;m an SDE.</text></item></parent_chain><comment><author>two_in_one</author><text>&amp;gt; Is there a learning path for someone who hasn&amp;#x27;t done any AI&amp;#x2F;ML ever?&lt;p&gt;It highly depends on what do you actually want.&lt;p&gt;1. Use existing models.  The easiest is web services (mostly payed). Harder way is local install, still need a good computer&lt;p&gt;2. Understand how models work&lt;p&gt;3. General understanding where all this is going.&lt;p&gt;4. Being able to train or finetune existing models&lt;p&gt;4.1  Create some sort of framework for models generation&lt;p&gt;4.2  frameworks for testing, training, inference, etc..&lt;p&gt;5. Models design. They are very different depending on the domain. You will have to specialize if you want to get deeper.&lt;p&gt;6. Get AGI finally.&lt;p&gt;All things are different. Some require just following the news, some need coding skills, others more theory, philosophy. You can&amp;#x27;t have it all. If you have no relevant skill the first 4 are still withing the reach. Oh, yes. You can become ethic &amp;#x27;expert&amp;#x27;, that&amp;#x27;s the easiest.</text></comment>