updated one word

Author: jonkrohn

README.md

@@ -35,7 +35,7 @@ To suit your preferred mode of learning, the content is now available via severa
     * [Calculus videos](https://learning.oreilly.com/videos/calculus-for-machine/9780137398171/) published in Jan 2021 ([free hour-long lesson](https://youtu.be/ZDAX17OGMAM))
     * [Probability and Stats videos](https://learning.oreilly.com/videos/probability-and-statistics/9780137566273/) published in May 2021 ([free hour-long lesson](https://youtu.be/uJcGj-k50iE))
     * [Computer Science videos](https://learning.oreilly.com/videos/data-structures-algorithms/9780137644889/) published in Jun 2021 ([free hour-long lesson](https://youtu.be/yfKkMdndY-E))
-    * (For convenience, this publisher packaged all 28 hours of the above four video series into a single playlist [here](https://learning.oreilly.com/videos/-/9780137903245/).)
+    * (For convenience, this publisher compiled all 28 hours of the above four video series into a single playlist [here](https://learning.oreilly.com/videos/-/9780137903245/).)
 * **Udemy**: All the Linear Algebra and Calculus content has been [live in a *Mathematical Foundations of ML* course](https://www.udemy.com/course/machine-learning-data-science-foundations-masterclass/) since Sep 2021 (free overview video [here](https://youtu.be/qhLo19EIA4g)). While this course stands alone as a complete introduction to the math subjects, Subjects 5-8 will eventually be added as free bonus material. 
 * **Open Data Science Conference**: The entire series was taught live online from Dec 2020 to Jun 2021. On-demand recordings of all these trainings are now available in the [Ai+ Platform](https://aiplus.odsc.com/pages/mlbootcamp).
 * **Book**: Chapter drafts to begin appearing in 2022