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+ ---
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+ layout: default
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+ title: "Placeholder Lesson"
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+ permalink: "/classes/ml"
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+ ---
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+
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+ < div class ="page ">
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+ < div class ="content ">
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+
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+ < div class ="image-title ">
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+ < img
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+ class ="responsive-img "
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+ src ="{{site.baseurl}}/img/undraw/dev-and-teacher.svg "
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+ alt ="teacher standing in front of backboard and developer coding on laptop "
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+ />
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+ < div >
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+ < label > introduction to</ label >
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+ < h1 > AI & ML</ h1 >
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+ </ div >
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+ </ div >
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+
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+ < div >
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+ < p >
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+ We present a year-long, modern machine learning class led by UCLA students!
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+ Students will discover and explore the computational and mathematical tools
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+ behind artificial intelligence and machine learning! In a single year, they
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+ will advance from understanding simple AI models that predict weather to
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+ analyzing the complex AI systems that power self-driving cars.
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+
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+ </ br > </ br >
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+ Throughout the year, students will have numerous opportunities to learn and code with
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+ Python. Python is one of the most popular programming languages in use
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+ today, with wide-ranging applications in data processing, web development,
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+ and machine learning. Last year, our students used Python to train AI models
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+ that predict stock market prices, guess the popularity of a song on Spotify,
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+ and detect handwritten digits.
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+ </ br > </ br >
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+ Learning machine learning does not occur in a
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+ vacuum! We encourage our students to think critically about the applications
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+ and ethics of AI. In the past, we’ve brainstormed which types of AI are
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+ best-suited to tackle facial recognition and estimate house prices.
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+ Furthermore, we’ve held in-depth discussions on the ethics of AI-powered
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+ self-driving cars and what it actually means for AI to be racist.
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+ </ p >
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+ </ div >
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+
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+ < div class ="lesson-contact ">
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+ < div >
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+ < h3 > School Location</ h3 >
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+ < p > enter school location</ p >
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+ </ div >
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+ < div >
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+ < h3 > Have questions?</ h3 >
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+ < p > Contact out curriculum lead!</ p >
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+ </ div >
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+ < div >
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+ < h3 > Ava Asmani</ h3 >
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+
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+ </ div >
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+ </ div >
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+
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+ < div >
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+ < h2 > Learning goals</ h2 >
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+ < div class ="rounded-green-border ">
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+ < ul class ="spacedlist ">
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+ < li > Understand what AI and ML are, and their differences</ li >
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+ < li > Learn about deep learning and its applications</ li >
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+ < li > Differentiate between classification and regression</ li >
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+ < li >
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+ Use Python and related libraries in Google Colab to manipulate data
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+ </ li >
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+ < li > Learn and apply linear regression to real-world datasets</ li >
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+ < li > Understand the intuition behind gradient descent</ li >
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+ < li > Learn and apply logistic regression to real-world datasets</ li >
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+ < li >
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+ Understand probability, Bayes' Theorem, and binary cross-entropy loss at
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+ a conceptual level
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+ </ li >
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+ < li > Walk through the building blocks of a neural network</ li >
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+ < li >
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+ Understand the challenges behind optimization and the applications of
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+ regularization
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+ </ li >
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+ < li > Conceptually grasp and implement convolutional neural networks</ li >
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+ < li > Explore the ethics behind applications of AI and ML</ li >
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+ </ ul >
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+ </ div >
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+ </ div >
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+
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+ < div >
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+ < h2 > Lessons</ h2 >
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+ < div class ="center ">
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+ < div class ="lesson-triple-col ">
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+ {% for lesson in site.aiml %}
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+ < div class ="lesson-w-chip ">
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+ < h3 > {{lesson.title}}</ h3 >
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+ {% if lesson.excerpt %}
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+ {{lesson.excerpt}}
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+ {% endif %}
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+ < div class ="green-chips ">
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+ {% if lesson.slides_link %}
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+ < div href ="{{lesson.slides_link}} "> slides</ div >
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+ {% endif %}
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+ {% if lesson.homework_link %}
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+ < div href ="{{lesson.homework_link}} "> worksheet</ div >
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+ {% endif %}
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+ {% if lesson.colab_link %}
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+ < div href ="{{lesson.colab_link}} "> colab</ div >
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+ {% endif %}
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+ </ div >
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+ </ div >
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+ {% endfor %}
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+ </ div >
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+ </ div >
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+ </ div >
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+
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+ < div >
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+ < div >
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+ < h1 class ="reset "> More resources</ h1 >
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+ < p > These are our favorite AI/ML resources - they're all awesome!</ p >
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+ </ div >
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+ < div class ="two-by-two ">
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+ {% for subcategory in site.data.curriculum_resources.aiml %}
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+ < div >
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+ < h3 > {{subcategory.title}}</ h3 >
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+ < ul >
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+ {% for item in subcategory.items %}
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+ < li > {{item.name}}</ li >
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+ {% endfor %}
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+ </ ul >
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+ </ div >
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+ {% endfor %}
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+ </ div >
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+ </ div >
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+ </ div >
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+ </ div >
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+ </ div>
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