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xvzf
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Добавлен 24 авг 2020
Minimal Data Science. I promote data science, statistics, probability and data science tools.
Best Math Stats Companion
A book that covers statistics with this many callouts and pointers is a rare find. I hope you enjoy this review.
Also, here is the link for the pre-release of CB: www.routledge.com/Statistical-Inference/Casella-Berger/p/book/9781032593036
Also, here is the link for the pre-release of CB: www.routledge.com/Statistical-Inference/Casella-Berger/p/book/9781032593036
Просмотров: 1 688
Видео
Stepping Into Measure Theory
Просмотров 1,5 тыс.5 месяцев назад
This is a book I have been wanting for a while. It has been taking a long time to chew on, but I was enjoying it so much I could not wait till the end to do a review. I think the book is fantastic. I think measure theory is difficult. At least for me it is hard for self study. To date, this is the best book I have read on it so far. I like that the authors spend the time motivating the subject....
Secrets of Scientific Writing: A Journey with "The Craft of Scientific Writing"
Просмотров 1 тыс.6 месяцев назад
This video delves into the insights and practical tips offered by the "The Craft of Scientific Writing". Discover how to think about your audience and bring clarity and energy to your scientific papers. Learn about the importance of sentence structure, paragraph coherence, and the strategic use of titles and headings.
#1 Statisticians Field Book
Просмотров 4 тыс.8 месяцев назад
"Regression and Other Stories" by Andrew Gelman is a practical guide for data scientists. Unlike many theoretical texts, Gelman's book is practitioner-oriented, with a focus on real-world applications. It includes code examples, relevant exercises, and dives into specific fields such as handling missing values, time series data, and causal modeling. The book methodically introduces basic method...
Joint Strength And Statistics
Просмотров 1 тыс.9 месяцев назад
00:00 - Intro 01:51 - Trimmed Means 04:27 - Dovetail vs butt joint with only 5 samples 08:46 - Glue starved hypothesis Inspiration For Video @ScottWalshWoodworking ruclips.net/video/xBzzTT_axhE/видео.html Data github.com/xvzftube/joint_strength/blob/main/joint_data.csv Description: 📊 Unlocking the Secrets of Joint Strength: A Statistical Analysis Journey 🔍 This episode was born from a captivati...
The Best First Book in Statistics: OpenIntro Statistics Review
Просмотров 2,8 тыс.10 месяцев назад
00:00 - Start 00:36 - Dive Into Book 00:52 - Table Of Contents 00:59 - Probability 01:09 - Random Variables 01:15 - Inference 01:32 - Regression I'm excited to share with you my personal recommendation for the best first book in statistics. I recently received a question about this, and I believe I have a fantastic answer. So, let's dive right into it. I strongly recommend "OpenIntro Statistics...
Favorite Calculus Text: The Streetwise Guide: A Lightweight Alternative to Bulky Calculus Textbooks?
Просмотров 1,4 тыс.11 месяцев назад
Looking for a calculus textbook that won't weigh you down? Check out the Streetwise Guide! This book may have cartoons, but don't let that fool you - it covers all the concepts you need to know for Calculus 1 with rigor and clarity. With a helpful catch-up section at the beginning and clear explanations of derivatives and integrals, this book is a great alternative to the bulky textbooks you'll...
Q & A: Exploring Data Science Tools and Workflows in NVIM
Просмотров 1,7 тыс.Год назад
Welcome back to our RUclips channel! In this episode I will be addressing questions from our viewers regarding NeoVim and its applications in data science. Join me as I dive into discussing topics such as using IronRipple vs. Vim Slime, formatting pandas data frames, working with SQL in nvim, and the advantages and limitations of using nvim for data science tasks.
Manipulate Data Like A Boss: Explained
Просмотров 888Год назад
In this video I explain a previous video I made where I had an interactive data manipulation program running in the shell. ruclips.net/video/BM-Uixd6vXU/видео.html ```sh echo prql_query.sql | enter sh -c 'prqlc compile prql_query.sql | duckdb | tidy-viewer' ``` XVZFTUBE ONLINE: 🕸️ xvzf.bearblog.dev/tools/ 📁 GitHub: github.com/xvzftube FREE AND OPEN SOURCE SOFTWARE THAT I CURRENTLY USE: 📽️ FFmpe...
Manipulate Data Like A Boss
Просмотров 620Год назад
This may be one of the most comfortable command line data manipulation workflows. I am getting entr to run my query script as I make edits to my prql sql file. The prql statement is being evaluated by duckdb. XVZFTUBE ONLINE: 🕸️ xvzf.bearblog.dev/tools/ 📁 GitHub: github.com/xvzftube FREE AND OPEN SOURCE SOFTWARE THAT I CURRENTLY USE: 📽️ FFmpeg|LGPL: ............. ffmpeg.org/ 🎵 Audacity|GPL: ......
DuckDB: The Ultimate Tool for CSV Querying in the Terminal
Просмотров 440Год назад
I love CLI data manipulation. Learn how to do some simple to advanced data manipulation all in the terminal! XVZFTUBE ONLINE: 🕸️ xvzf.bearblog.dev/tools/ 📁 GitHub: github.com/xvzftube FREE AND OPEN SOURCE SOFTWARE THAT I CURRENTLY USE: 📽️ FFmpeg|LGPL: ............. ffmpeg.org/ 🎵 Audacity|GPL: ............ www.audacityteam.org/ 🗒️ Neovim|Apache 2.0: ....... neovim.io/ R R|MIT: .....................
Data Science Workflow with neovim - Watch Me Do Kaggle House Regression EDA (Part 2)!"
Просмотров 1,2 тыс.Год назад
XVZFTUBE ONLINE: 🕸️ xvzf.bearblog.dev/tools/ 📁 GitHub: github.com/xvzftube FREE AND OPEN SOURCE SOFTWARE THAT I CURRENTLY USE: 📽️ FFmpeg|LGPL: ............. ffmpeg.org/ 🎵 Audacity|GPL: ............ www.audacityteam.org/ 🗒️ Neovim|Apache 2.0: ....... neovim.io/ R R|MIT: ................... www.r-project.org/ 🐍 Python|Python: ........... www.python.org/ 🪶 SQLite|Public Domain: .... www.sqlite.org...
Data Science Workflow with neovim - Watch Me Do Kaggle House Regression EDA (Part 1)!"
Просмотров 7 тыс.Год назад
If you want to see how I got my hyperparameters look at my gist gist.github.com/xvzftube/f5c481d5710b69a0155db0f3d1c2f81e I just turned on the camera and started working on the Kaggl House Prices - Advanced Regression Techniques. www.kaggle.com/competitions/house-prices-advanced-regression-techniques In this video, I'll be showing you how I use nvim to perform regression analysis on the Kaggle ...
What All of Statistics is REALLY About
Просмотров 994Год назад
Statistics is all about samples and populations, with the former representing the observed data and the latter representing all possible data. Statistics is used in forecasting, data visualization, experimental design, and statistical learning. XVZFTUBE ONLINE: 🕸️ xvzf.bearblog.dev/tools/ 📁 GitHub: github.com/xvzftube FREE AND OPEN SOURCE SOFTWARE THAT I CURRENTLY USE: 📽️ FFmpeg|LGPL: ............
Transcribing Audio to Text with Whisper: A Step-by-Step Guide
Просмотров 466Год назад
In this video, we explore the use of Whisper, a transcription software that promises high fidelity in converting audio to text. Example CLI Lines: ffmpeg -i ~/Music/vo.wav -ar 16000 -ac 1 -c:a pcm_s16le ~/Music/vo16.wav ./main -m models/ggml-base.en.bin -f ~/Music/vo16.wav -pp -pc -t 10 -otxt -of ~/Music/vo16.vo XVZFTUBE ONLINE: 🕸️ xvzf.bearblog.dev/tools/ 📁 GitHub: github.com/xvzftube FREE AND...
How to Build A Statistical Framework On A Method
Просмотров 1,1 тыс.Год назад
How to Build A Statistical Framework On A Method
Lightning-Fast Setup: Get VS Code & Python Up and Running in No Time [Windows | 2023]!
Просмотров 163Год назад
Lightning-Fast Setup: Get VS Code & Python Up and Running in No Time [Windows | 2023]!
How to do Statistics Without the Math | Bootstrap Book Review
Просмотров 5 тыс.Год назад
How to do Statistics Without the Math | Bootstrap Book Review
I roasted a YouTube Data Scientist | Missing Data
Просмотров 760Год назад
I roasted a RUclips Data Scientist | Missing Data
Learn statistics from the best professor
Просмотров 117 тыс.Год назад
Learn statistics from the best professor
The Best Book Ever Written on Linear Models
Просмотров 4 тыс.Год назад
The Best Book Ever Written on Linear Models
The Best Book Ever Written on Mathematical Statistics
Просмотров 192 тыс.Год назад
The Best Book Ever Written on Mathematical Statistics
Book Review: The Visual Display of Quantitative Information by Edward Tufte
Просмотров 3,2 тыс.Год назад
Book Review: The Visual Display of Quantitative Information by Edward Tufte
Beginners Guide To Make Better Density ECDF Plots!
Просмотров 357Год назад
Beginners Guide To Make Better Density ECDF Plots!
This Probability Distribution Will Not Behave
Просмотров 159Год назад
This Probability Distribution Will Not Behave
Lauriane Run
Dorcas Via
Great
Nice
This looks a lot look dplyr with pipes. How do they differ and which do you prefer?
they are similar. I like dplyr pipes and this is a way to replicate that feel in python.
Do you have a tutorial where you use R and python in a dockerized application
It doesn't even have central tendency, your recommendation is flawed bruh
She's a great teacher, her yt channel "a probability space" has some fantastic lectures, very easy to follow
Could we see your config?
It is always evolving. i have some videos on my vim config for a while ago, but i have also been trying out some new things in nvim, vscode, and positron.
Hey, I love book reviews, just a small criticism: it'd be great to have the name of the book in the title or description somewhere along with author :) Just makes it easier to find!
@@PltO good point thanks for the idea
Good book, and it’s one of several on my shelf. However, it was very obviously rushed, with too many samples of areas, with too little practical integration of concepts. Equations are not the same as algorithms, only a small part of it. It is missing much of the other descriptive, let alone instructional aspects. Where are the algorithms described? Where are the conceptual frameworks? Where is the intuition and implications? Where is all the sequencing and pseudocode? Where are the illustrations? Where are the examples? Also, a few more passes would have helped with errors and readability. It was early, primitive and rushed.
for sure. i have been sitting on a bishop and bishop book review. their book addresses most of the problems you brought up.
😌 'Promo sm'
I studied under Jem. She’s a true gem.
her writing is fantastic!
Which book did you refer to for this?
Ian Hackings book, an introduction to probability and inductive logic. that was the primary source at least.
what about all of statistics by Wassermann
hype > content
computer age statistical inference or/and in all likelihood are two books I personally liked more than Wassermann’s book.
Thank you for the video. I have a question: I would like to review some scientific studies, particularly their use of statistics (confidence intervals, the well-known p-values, etc). Could you please recommend a book for this purpose?
Like meta-analysis?
@@xvzf8147 including meta-analysis but other "simple" studies too.
@@xvzf8147 including meta-analysis but "simple" studies too.
2016 though. Much has changed since then. We need a 2024 edition.
Great video, helped me use sql better from terminal, thx!
Thank you very much for the video. I am unable to read the PDF file. Any suggetions ?
*Thanks!* Thanks for making these kind of amazing content.
Can you do the same magic for important research topics and the stuff in the related most cited papers
I can try that out!
@@xvzf8147 We are waiting! No AI can do better summarization than you
What a great way of telling about a Mathematics book, its contents and usage. I subscribed immediately and spreading word about you. Really Inspiring. Keep up the good work.
Teaching students to make charts to do formula calculations helps students too. I tell some of them that it it training wheels until they don't need it. Cheerful Calculations 🧮.
Ah yes, probability triples -- that concept shown at the beginning of every stochastic processes book exactly once and then never mentioned again.
haha, i wonder why they put it in a stochastic process book.
مرحبا كيف يمكن ان احصل على نسخه من هذا الكتاب الجيد والمفيد
Would like to see more videos on measure theory. Thanks.
haha, nice. i never thought i would hear someone say that.
“The first two chapters should be enough to get you into a data science position.” Yeah, only how do I convey this information to the hiring major, whose background is in communications.
Amazing 😊
This was the book we used and it is amazing!
Do you think they're openly negotiated or openly problemd out to a public
statistics is really useful, Mike Lindell is quite good at it actually.
This book completely changed how I thought about cross-sectional data.
yeah, it is really good!
I think In my math stats class we used a different book but my teacher had a print out of that diagram of the distributions from this book that my instructor gave us
There are some printing mistakes in Chapter 10. E.g. page 489, Theorem 10.3.1 proof has wrong expression for -2*log(lambda(x)). Some of the proofs in the chapter are not complete, they are sketchy, with just a mention of Slutsky's theorem.
thanks for a mini errata
Im a beginner and just learned mathematical statistics from videos Is this book convenient to start with?if not could you recommend please?
this is not a topic that is easy to just dip your toes in. at some point you will just have to make the jump.
a link to have this book ?
Casella and Burger
Personally I really like the various Statistical Learning books by Hastie/Tibsharini - building intuition is probably the most important thing you need in statistics and they were absolutely incredible in doing that (rather than just focusing on dry proofs where you may understand how something is true but not any of the insights behind this). Probably not a good first text as it's more geared towards specifically the applications of statistics but probably the best textbook I've ever read
Sounds like a perfect follow-up for this book 😊 thanks!
Really wanna get this, can't find any good sellers online. Appears build/production quality is poor
good news. a second edition is coming this year. www.routledge.com/Statistical-Inference/Casella-Berger/p/book/9781032593036
This is a phenomenal colorscheme! What it its name? Or do you have the list of colors?
everforest
I like Jun Shao's book "Mathematical Statistics" (2e), or, at a lower level: "Mathematical Statistics, Old School" by John Marsden
What are the perquisites?
some linear algebra and calculus
Any one have an undergrad level book recommendation that's good for conditional probability and Bayes and Bayesian inference?
How about an ISBN number, or a solutions manual. That would be helpful.😶
As long as it uses single-letter variable and single-letter greek, no math book is good.
Worst physically printed book ever. Inner pages wrinkled… covers wrinkled… a wreck. Makes me mad ever time I open the book. Boo!
Bro I want a textbook that gives me the understanding of the subject but all applications are done by using matlab or python. What would you recomend?
What would you recommend for at an undergraduate level for someone who's only completed analysis (abbott)? Im self studying math btw
Try the first chapter of this to see if it is too difficult. you might be surprised how much you know.
All problems are solved?
I loved this book back in my CS grad school days. I took a few stats courses outside the dept. and one of the courses used this book and I fell in love with stats primarily due to this book. I still have a copy that I go back to once in a while.