Merge pull request #77 from kk-Syuer/patch-1

Update 01_introduction.ipynb

AA2324/course/01_introduction/01_introduction.ipynb

@@ -108,7 +108,7 @@
    "source": [
     "## ⚠️ No class Thursday March 14\n",
     "\n",
-    "I will also announce it officialy in classroom and send reminders"
+    "I will also announce it officially in classroom and send reminders"
    ]
   },
   {
@@ -158,7 +158,7 @@
     "- Material uploaded before every lecture (if time permits)\n",
     "- Use Google Classroom for most and private communication with course staff\n",
     "- Ask questions about logistics, homework, etc.\n",
-    "- Participate to Q.A. (live) sessions on Zoom\n",
+    "- Participate in Q.A. (live) sessions on Zoom\n",
     "\n",
     "**Very important: write down now!**\n",
     "# $\\colorbox{yellow}{Code to enter classroom: i7oq3y2}$\n",
@@ -252,8 +252,8 @@
    "source": [
     "## 📚 How to study\n",
     "\n",
-    "1. Use my slides! Most of question/answers in the exam will be coming out from my slides or a remix of them.\n",
-    "2. If you do not understand the slide, search for a matching chapter in one of the book I mentioned.\n",
+    "1. Use my slides! Most of questions/answers in the exam will be coming out from my slides or a remix of them.\n",
+    "2. If you do not understand the slide, search for a matching chapter in one of the books I mentioned.\n",
     "3. Watch again and again the lecture in the part that is not clear."
    ]
   },
@@ -340,7 +340,7 @@
     "* Steps:\n",
     "  1. Before adventuring: make sure to **have found a substantial fix (couple of typos at least)**\n",
     "  2. [Fill out this Google form instead of sending the email](https://forms.gle/RSREjDXS1FLwBmHEA)\n",
-    "  3. As soon as I have time, I will incorporate the fix and you the bonus points."
+    "  3. As soon as I have time, I will incorporate the fix and give you the bonus points."
    ]
   },
   {
@@ -423,7 +423,7 @@
     "\n",
     "* **Linear algebra:** vector/matrix manipulations (geometry in high dimensions)\n",
     "* **Calculus:** partial derivatives (cost function, gradients)\n",
-    "* **Probability:** common distributions; bayes Rule (learn how NOT thinking deterministic)\n",
+    "* **Probability:** common distributions; Bayes Rule (learn how NOT thinking deterministic)\n",
     "* **Statistics:** mean/median/mode; maximum likelihood\n",
     "\n",
     "## We will review these in the first lectures"
@@ -518,7 +518,7 @@
     "### Everyone is using it now.... (Impact in applications)...\n",
     "### ...but this is not a good answer.\n",
     "\n",
-    "We will get back on the answer later"
+    "We will get back to the answer later"
    ]
   },
   {
@@ -832,7 +832,7 @@
     "- Material uploaded before every lecture (if time permits)\n",
     "- Use Google Classroom for most and private communication with course staff\n",
     "- Ask questions about logistics, homework, etc.\n",
-    "- Participate to Q.A. (live) sessions on Zoom\n",
+    "- Participate in Q.A. (live) sessions on Zoom\n",
     "\n",
     "**Very important: write down now!**\n",
     "# $\\colorbox{yellow}{Code to enter classroom: i7oq3y2}$\n",
@@ -890,7 +890,7 @@
     "\n",
     "> As computer scientists (or mathematicians) we design an\n",
     "algorithm and write a program that encodes a set of rules\n",
-    "that are useful to solve the problem\n",
+    "that is useful to solve the problem\n",
     "\n",
     "### Algorithmic approach\n",
     "\n",
@@ -908,7 +908,7 @@
     "2) Problems that are **very hard** to solve with a set of rules\n",
     "\n",
     "> As ML engineer/data scientist/research scientist we design and optimize a model\n",
-    "that learns patterns and extract \"rules\" from data that that are useful to solve the problem\n",
+    "that learns patterns and extract \"rules\" from data that are useful to solve the problem\n",
     "\n",
     "**Big difference is: instead of writing the algorithm, we write the optimization for the hypothesis.**"
    ]
@@ -1041,7 +1041,7 @@
     "\n",
     "You probably use ML dozens of times a day without even knowing it:\n",
     "\n",
-    "- **[Information Retrieval]** A web search on Google works works well because a software based on ML has figure out how to rank pages\n",
+    "- **[Information Retrieval]** A web search on Google works well because a software based on ML has figured out how to rank pages\n",
     "\n",
     "- **[Spam Filter/Classifier]** Each time you check your e-mail a spam filter has learned how to distinguish spam from not-spam e-mails\n",
     "\n",
@@ -2076,7 +2076,7 @@
     "\n",
     "- Each column is the result of a clustering algorithm\n",
     "- The input data lives in a 2D space\n",
-    "- Colors indicates the clustering results (which points should be considered together)\n",
+    "- Colors indicate the clustering results (which points should be considered together)\n",
     "\n",
     "<img width=\"60%\" src=\"https://scikit-learn.org/stable/_images/sphx_glr_plot_cluster_comparison_001.png\" />\n",
     "\n",