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Dr. Randy Davila
United States
Registrace 21. 09. 2009
My name is Randy Davila. I am an Assistant Professor of Data Science at the University of Houston-Downtown and an Adjunct Professor of Computational and Applied Mathematics at Rice University. My bachelors degree is in Applied Mathematics from the University of Houston-Downtown, my masters degree is in Computational and Applied Mathematics, and my PhD is in Mathematics from the University of Johannesburg (South Africa).
As of 2021 this channel has been mainly devoted to posting supplemental videos for my students. Beginning January 2022 I will be uploading content for everyone! I plan on making videos focusing on mathematics, data science, and programming.
As of 2021 this channel has been mainly devoted to posting supplemental videos for my students. Beginning January 2022 I will be uploading content for everyone! I plan on making videos focusing on mathematics, data science, and programming.
Differential & Integral Calculus (Calculus for Data Science) - A Calculus 1 view of Gradient Descent
In this lecture we use the notion of a derivative and gradient descent to introduce machine learning.
zhlédnutí: 693
Video
Differential & Integral Calculus (Calculus for Data Science) - Gradient Descent Part 1
zhlédnutí 124Před 2 lety
Differential & Integral Calculus (Calculus for Data Science) - Gradient Descent Part 1
Differential & Integral Calculus (Calculus for Data Science) - Setting Up Jupyter for Julia
zhlédnutí 145Před 2 lety
Differential & Integral Calculus (Calculus for Data Science) - Setting Up Jupyter for Julia
Differential & Integral Calculus (Calculus for Data Science) - Lecture 3 1
zhlédnutí 140Před 2 lety
In this recording we briefly discuss the Squeeze Theorem. #calculus #datascience #squeezetheorem
Differential & Integral Calculus (Calculus for Data Science) - Lecture 2
zhlédnutí 98Před 2 lety
In this lecture we continue our discussion of limits while my cat meows loudly at me. #calculus #datascience
Differential & Integral Calculus (Calculus for Data Science) - Introducing Limits
zhlédnutí 372Před 2 lety
In this lecture we introduce limits of functions and the Julia programming REPL. #datascience #calculus #julialang
Data Science and Machine Learning - Reinforcement Learning
zhlédnutí 226Před 2 lety
Data Science and Machine Learning - Reinforcement Learning
Discrete Mathematical Structures (Spring 2022) - Computational Complexity
zhlédnutí 1KPřed 2 lety
Discrete Mathematical Structures (Spring 2022) - Computational Complexity
Discrete Mathematical Structures Spring 2022 Big O Notation
zhlédnutí 10KPřed 2 lety
Discrete Mathematical Structures Spring 2022 Big O Notation
Data Science and Machine Learning - Lecture 10.1 - K-Means Clustering
zhlédnutí 168Před 2 lety
In this lecture we introduce unsupervised machine learning. More specifically we code the K-means clustering algorithm from scratch using Python. #DataScience #MachineLearning #KMeansClustering #UnsupervisedLearning
Data Science and Machine Learning - Lecture 10.2 - Principal Component Analysis
zhlédnutí 119Před 2 lety
In this second part of lecture 10, we introduce the dimensionality technique called principal component analysis. #DataScience #MachineLearning #DimensionalityReduction #PCA #PrincipalComponents
Discrete Mathematical Structures (Spring 2022) - Lecture 15 - Big O Notation
zhlédnutí 251Před 2 lety
In this lecture we introduce the concept of Big-O notation. #DiscreteMathematics
Calculus 1 (Spring 2022) - Lecture 16 - Antiderivatives and the Indefinite Integral
zhlédnutí 145Před 2 lety
In this lecture we begin the study of integral calculus. More specifically, we introduce the notion of the antiderivative, indefinite integrals, and first-order differential equations. #Calculus #Antiderivative #Integral
Data Science and Machine Learning - Lecture 9.2 - Boosting
zhlédnutí 105Před 2 lety
In this second part of Lecture 9 we cover boosting algorithms. #MachineLearning #Python #Boosting
Discrete Mathematical Structures (Spring 2022) - Lecture 14 - Introduction to Algorithms Part 2
zhlédnutí 223Před 2 lety
In this second video on algorithms we program searching and sorting algorithms in Python. #DiscreteMathematics #Python #Algorithms
Data Science and Machine Learning - Lecture 9.1 - Ensemble Methods and Random Forests
zhlédnutí 52Před 2 lety
Data Science and Machine Learning - Lecture 9.1 - Ensemble Methods and Random Forests
Discrete Mathematical Structures (Spring 2022) - Lecture 13 - Introduction to Algorithms
zhlédnutí 226Před 2 lety
Discrete Mathematical Structures (Spring 2022) - Lecture 13 - Introduction to Algorithms
Data Science and Machine Learning (Lecture 8.2) - Regression Trees
zhlédnutí 92Před 2 lety
Data Science and Machine Learning (Lecture 8.2) - Regression Trees
Data Science and Machine Learning (Lecture 8.1) - Decision Trees
zhlédnutí 120Před 2 lety
Data Science and Machine Learning (Lecture 8.1) - Decision Trees
Calculus 1 (Spring 2022) - Lecture 15 - Limits at Infinity
zhlédnutí 58Před 2 lety
Calculus 1 (Spring 2022) - Lecture 15 - Limits at Infinity
Calculus 1 (Spring 22) - Lecture 14 - Concavity and the Second Derivative Test
zhlédnutí 31Před 2 lety
Calculus 1 (Spring 22) - Lecture 14 - Concavity and the Second Derivative Test
Calculus 1 (Spring 2022) - Lecture 13 - Increasing Functions and the First Derivative Test
zhlédnutí 21Před 2 lety
Calculus 1 (Spring 2022) - Lecture 13 - Increasing Functions and the First Derivative Test
Discrete Mathematical Structures (Spring 2022) - Exam Review Part 2
zhlédnutí 340Před 2 lety
Discrete Mathematical Structures (Spring 2022) - Exam Review Part 2
Discrete Mathematical Structures (Spring 2022) - Exam 1 Review Part 1
zhlédnutí 1,8KPřed 2 lety
Discrete Mathematical Structures (Spring 2022) - Exam 1 Review Part 1
Calculus 1 (Spring 2022) - Lecture 12 - Rolle's Theorem and the Mean Value Theorem
zhlédnutí 87Před 2 lety
Calculus 1 (Spring 2022) - Lecture 12 - Rolle's Theorem and the Mean Value Theorem
Data Science and Machine Learning - Lecture 7.2 - The Scikit-Learn Library
zhlédnutí 117Před 2 lety
Data Science and Machine Learning - Lecture 7.2 - The Scikit-Learn Library
Data Science and Machine Learning - Lecture 7.1 - The K-Nearest Neighbors Algorithm
zhlédnutí 120Před 2 lety
Data Science and Machine Learning - Lecture 7.1 - The K-Nearest Neighbors Algorithm
Calculus 1 (Spring 2022) - Lecture 11 - Extreme on an Interval
zhlédnutí 69Před 2 lety
Calculus 1 (Spring 2022) - Lecture 11 - Extreme on an Interval
i am bad at mathematics
I crashed in my A'levels and barely got good grades in Maths. I couldn't get accepted into any decent university and then I took GED, completed my English honors and MBA and now I'm going to pursue Mathematics Honors. Thank you so much for your motivation.
If you can, I can as well. thanks for sharing your story with me, I am an IGCSE 2026 candidate.
@@hatterbooks4372 Yes go for it! You have my best wishes! Technically I passed my A'levels back in 2013 but the results were very bad. I took the GED test and I used that for my admission for the education of my Bachelor's degree. I went onto complete my postgraduate studies as well. I came from behind and I'm still marching. You can do it too. Cheers and best wishes!
@@hatterbooks4372 Sure of course you can do it! You have my best wishes and full support as well. I took my A'levels back in 2013. I was a Cambridge A'level candidate. As I have said in the comment above, I didn't do well in my A'levels and kind of crashed out. I then took the GED test, excelled it and found the path to my University life. Taking the GED test gave me so much confidence and made me find my resolve once again. You have the potential. Whether you finish it with A'levels or GED, remember this: You have the ability to succeed. Best wishes for your future. Cheers!
dude just saved me 5 points of this semester! my man!
thank you for sharing this, it means a lot to us.
Thank you for sharing! I hope that your peers in grad school had more respect for you as an individual and intellectual...why are undergrads laughing at using punctuation? Even some people with PhDs don't know how to write.
You need to make shorter videos and use computer whiteboards, they have better visibility, you're good in math but you need to make an effort on the format maybe. Good Content, keep the good job !
Update: I named my first born child Morgan after my best friend that passed away. Also, I lecture undergraduate and graduate students at Rice University now 😊
Dude what an inspiration holy shit 👏🏻
Dr. Davila, I streamed your lectures on Julia machine learning during COVID and am now a developer in the biomedical space.
Thank you so much !!! You are the best !!
Dude! I hope you go back to those high school teachers in BelAir and show them what you’ve done! They’d start crying with you, too. When I have students someday I want to share your story with them. So much of our limitations are imposed by others when we need our own way. It’s scary but you literally made a new path for yourself and others, I’m sure. Excelsior!
I watched this from beginning to end. Amazing story, thanks for sharing Dr. Davila. Did you ever go back and visit your teacher(s) from high school who funded you? I feel like a good teacher like that is often the make or break of a student's progress in education.
I am embarking on a PhD in Computer Science after working for a few years post undergrad, also coming from a GED. I was nervous about some of the courses, but have spent the last six months brushing up on mathematical foundations for work in data science and theoretical computer science (set theory, proof writing, discrete math, calc, college algebra - logarithms and sequences/series). I watched a video of Leonard Susskind talking about how he felt out of place at Cornell because he came from a working class background, so this is normal. I think the key is to take the anxiety/fear and use it to address the cause, rather than giving up. This is a beautiful story, thanks for sharing!
Just wanted to check in and see how things were going?
Great series!
💗
I remember seeing this video when it first came out. I was in college at the time. I found it relatable, as I was a high school dropout. I think I received five passing grades in my high school career. Given that I was a junior when I dropped out, I think that speaks volumes about my academic prowess as a high school student. However, though I had a rough start in college, I ended up doing quite well. I currently work in banking and am debating whether to get an MBA or a JD. Thank you for the video.
I did well in math in grade school but I lacked the parental structure. My parents didn't care despite my dad having an engineering degree. My parents didn't care so why should I? My mom always told us we weren't going to college and that they would never help us. They were true to their word. However, at about 22/23 I started attending community college. I did that for a few years while working full time. Eventually I transferred to a university and with the support of my now wife I was able to graduate with degree in engineering. I put in a lot of hard work and started from algebra II. It's a long journey but anyone can do it. Be patient and be easy on yourself.
Hard Knocks Uni
Pay it forward
Amazing you made it !
Wonderful posting
The path of success is failure
That shirt is not smart
Great inspiring life story...worth making a movie about.
❤ thanks
Thank you for this, helped me alot!
pocket kitty :)
started learning linear algebra and calculus with R and Rstudio, and after watching this and other videos Julia is starting to look like the way to go. This is exactly what I was looking for, and it looks much simpler and efficient in Julia. I will miss Rstudio though because im not convinced notebooks or VScode are better, but we'll see. Thanks!
thank you
how can i plot two plots with only one value change btw them on single plot
You have not proved that the sequence a1, a2, a3, ... is X
This was a messy proof as mentioned in the video. However, it should not be difficult to show that the set of elements in the sequence is equal to X by using subset arguments. A lot relies on the Well-Ordering Property here.
for the 1st example isnt C= also the nunber of temrs in this case an alternative C would be 3 for number of terms and K=2
I legit teared up watching this, this was extremely inspiring. I hope to one day be a professor in Computer science, this has really motivated me to keep persevering. Thanks so much for sharing
Just wanted to check in! How has your journey been?
720p quality in 2022 ??
who cares bro
@@breezy1106 I'm. But who cares if you don't care. 😂
dont watch it then
@gonda8365how will I if I can’t even see
You're the besttt
Thank you!
Nice intro to Julia Plots, thank you !
Wonderful explanation. So much better than my professor.
the first question is actually true
Thankyou sir for providing such a impressive content for free
i was in my 2nd year of uni, and i am finding it tough. Currently, I feel lost as to what I should be studying, as I've been fleeing from textbook to textbook with no indepth knowledge of the subject at hand. Thanks for giving me the inspiration.
Oh my goodness, thank you so much for sharing. This is so incredible and powerful. I am a math educator and it makes me want to take some of those classes you talked about!! I am obsessed with teaching math. This was so unforgettable to me. I have a lot to say.
Dr. Davila, I come back to this video every few months to remember that its not how I start but how I persist. Thank you for sharing this with us all.
Thank you Dr. Davila. I don't know how this popped up on my CZcams but I needed to hear your amazing story. I'm 40 years old now and had dropped out of high school at 17. I got my GED at 30. I struggled with the math as well. Before I took the GED test I decided to study the math from beginning to end using the McGraw-Hill's GED Math prep book for 8 months. I studied everyday and took the tests, quizzes & did the practice questions. I passed all subjects with flying colors and scored a 92% in the math!!!! I want to go to college and become a Nurse Practioner and your story lit a fire in me and gave me encouragement and hope. Thank you!!!!
I'm jazzed that I can add 115+80 in my head super-fast
I dropped out of higschool at 16. I had the exact same experience.. from the middle school teacher saying i wouldnt amount to anything to falling behind in all my maths and classes. Got work through my dad and worked for a while... and watched everyone i knew go to college. I learned what GED was and... when i studied and managed to get it.. i couldnt believe it was a possibility for me to go to college. I still cannot believe I am in college. I want to get a PhD in mathematics. This video is insanely inspirational. Thank you
why are we putting x>7 at 15:00?
omg this is crystal clear explanation!!!!
with the mystical resolution.
Hello, Great video thank you!!! just a question if i want to make a second plot on the same console, i just use the plot() again ?
You're an inspiration !
This was really inspiring. I'm glad there are so many people online like yourself who are willing to share their stories and motivate those who might feel trapped. I dropped out of school right after 8th grade and much like yourself ended up spending a lot of time just skateboarding and working for my father. Unfortunately I've never got around to obtaining my G.E.D. during my 20's as I've always felt intimidated and "too dumb" to even give it a try. I ended up moving overseas around a year ago due to a long distance relationship, and while I'm happy with my partner I'm unhappy with feeling worthless on both ends of the planet due to a lack of an education. I'm tired of settling for warehouse jobs and running away from an education just because I feel "stupid". My math skills are very basic, I never even got the chance to learn anything past multiplication in school before dropping out, but for the first time ever I've been recently trying to improve my skills and study here at home overseas. I'd like to return to America someday, but not empty handed. I'll only return when I feel I can pass the tests as it would open up so many opportunities. Your story has really inspired me, thank you for sharing it and congrats on your well earned success!
Hi sir