first Lecture executed in notebooks, for ease of following along

profjsb · Jun 3, 2019 · c209b1b · c209b1b
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diff --git a/Lectures/1_ComputationalAndInferentialThinking/00_introduction.ipynb b/Lectures/1_ComputationalAndInferentialThinking/00_introduction.ipynb
@@ -2,7 +2,7 @@
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@@ -186,7 +186,8 @@
     "\n",
     "<img src=\"https://media.giphy.com/media/lMlwtDDwvT8qFYJvSa/giphy.gif\">\n",
     "\n",
-    "You can navigate to the `Lectures/1_ComputationalAndInferentialThinking/00_introduction.ipynb` notebook and start following along."
+    "You can navigate to the `Lectures/1_ComputationalAndInferentialThinking/00_introduction.ipynb` notebook \n",
+    "and start following along."
    ]
   },
   {
@@ -211,14 +212,12 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "<div class=\"alert alert-info\">\n",
-    "  Aside: Jupyter notebooks were created by Colombian native Fernando Pérez (originally IPython). <img src=\"https://pbs.twimg.com/profile_images/1864199033/fperez_photo2_sm_400x400.jpg\" width=\"120\"> He's a professor of statistics now a Berkeley and runs a large open-source software group working on Jupyter, `numpy`, ...\n",
-    "</div>\n",
-    " "
+    "  Aside: Jupyter notebooks (originally IPython) were created by Colombian native Fernando Pérez. <img src=\"https://pbs.twimg.com/profile_images/1864199033/fperez_photo2_sm_400x400.jpg\" width=\"120\"> He's a professor of statistics now a Berkeley and runs a large open-source software group working on Jupyter, `numpy`, ...\n",
+    "</div>"
    ]
   },
   {
@@ -238,19 +237,18 @@
     "\n",
     "## Computational and Inferential Thinking (This morning)\n",
     " \n",
-    "  - Logistics/intro\n",
-    "  - Data Science, Machine Learning & Statistics Introduction\n",
-    "  - Problem Definition & Data\n",
-    "  - Exploration: visualization & data preparation\n",
-    "  - Featurization and Pipelining\n",
+    "- Logistics\n",
+    "- Data Science, Machine learning, and statistics introduction\n",
+    "- Exploration: visualization & data preparation\n",
+    "- Featurization,  Dirty Data, and Natural Language Processing\n",
     "\n",
     "## Statistical Learning and Prediction \n",
     "\n",
     "### Bayesian Inference (This afternoon) \n",
     "\n",
     "   - Introduction\n",
     "   - MCMC, hierarchical Bayes\n",
-    "    - Gaussian Processes\n",
+    "   - Gaussian Processes\n",
     "\n",
     "### Supervised Learning (Tomorrow - Lecture 3) \n",
     "\n",
@@ -260,16 +258,15 @@
     "## Neutral Networks\n",
     "\n",
     "### Pedagogical Introduction to  Neural Networks  (Lecture 4) \n",
-    "   -  Introductory algorithms and frameworks\n",
+    "   - Introductory algorithms and frameworks\n",
     "   - Fully connected networks for regression and classification\n",
     "\n",
     "### Deep Convolutional Neural Networks (Lecture 5) \n",
     "   - imaging classification\n",
     "   - sequence inferencing/classification\n",
-    "       - temporal convolution NN (TCNs)\n",
-    "    - transfer learning & hyperparameter optimization\n",
+    "   - transfer learning & hyperparameter optimization\n",
     "\n",
-    "### Generative and Compressive Modelling (Lecture 6) \n",
+    "### Generative and Compressive Modeling (Lecture 6) \n",
     "   - auto-encoders\n",
     "   - GANs\n",
     "   - surrogate emulation\n",
@@ -305,15 +302,15 @@
     "\n",
     "<img src=\"imgs/jsb1.png\">\n",
     " \n",
-    "> My book on gamma-ray bursts was published in 2011 as part of the \"Frontiers in Physics\" Series by Princeton University Press.  I have been awarded the Pierce Prize from the American Astronomical Society and I am a former Sloan Fellow, Junior Fellow at the Harvard Society, and Hertz Foundation Fellow. I hold a PhD from Caltech and degrees from Harvard and Cambridge University. Recently, I've been working as co-PI of the Moore-Sloan Data Science Initiative at UC Berkeley and elected member of the management oversight body of the Large Synoptic Survey Telescope (LSST). \n"
+    "My bio:\n",
+    "\n",
+    "> My book on gamma-ray bursts was published in 2011 as part of the \"Frontiers in Physics\" Series by Princeton University Press.  I have been awarded the Pierce Prize from the American Astronomical Society and I am a former Sloan Fellow, Junior Fellow at the Harvard Society, and Hertz Foundation Fellow. I hold a PhD from Caltech and degrees from Harvard and Cambridge University. Recently, I've been working as co-PI of the Moore-Sloan Data Science Initiative at UC Berkeley and elected member of the management oversight body of the Large Synoptic Survey Telescope (LSST). \n",
+    "\n",
+    "I've been fortunate to have taught and worked with a lot of **data-driven scientists** as well as hire and set up *data science* teams in industry. I'll try to pepper in some real-life examples but, ultimately, this course will be largely free from specifics from astronomy and industrial machine learning unless you ask...\n",
+    "\n",
+    "<img src=\"imgs/josh_observatorio.png\" width=\"50%\">\n",
+    "Yesterday. Credit: Rafael Martinez-Galarza"
    ]
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diff --git a/Lectures/1_ComputationalAndInferentialThinking/01_ds_ml_stat.ipynb b/Lectures/1_ComputationalAndInferentialThinking/01_ds_ml_stat.ipynb
@@ -9,7 +9,7 @@
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@@ -187,9 +187,13 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<img src=\"imgs/bias_var.png\">\n",
+    "> \"I'm often wrong, but never in doubt...\" -- Ivy Baker Priest \n",
     "\n",
-    "> \"Often wrong, but never in doubt...\""
+    "<div class=\"alert alert-info\">\n",
+    "If there's one thing you take away from this course, it's that I hope to instill a sense skepticism, if not dread, that the modeling you've done is somehow wrong. You'll need to be your own worst critic.\n",
+    "</div> \n",
+    "\n",
+    "<img src=\"imgs/bias_var.png\">"
    ]
   },
   {
@@ -275,13 +279,6 @@
     "\n",
     "<img src=\"imgs/learn_types.png\">"
    ]
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