Applied Machine Learning - Cornell CS5785 "Starting from the very basics, covering all of the most important ML algorithms and how to apply them in practice. Executable Jupyter notebooks (and as slides)". 80 videos!!

Applied Machine Learning - Cornell CS5785 "Starting from the very basics, covering all of the most important ML algorithms and how to apply them in practice. Executable Jupyter notebooks (and as slides)". 80 videos!! Videos: https://t.co/QwT5hrgueM Code: https://t.co/RvTTsRiKqm

Applied Machine Learning - Cornell CS5785 "Starting from the very basics, covering all of the most important ML algorithms and how to apply them in practice. Executable Jupyter notebooks (and as slides)". 80 videos. Videos: https://t.co/QwT5hqYSQc Code: https://t.co/RvTTsRAlhU

📢 All 24 lecture videos for our Intro to #Robotics course @EPrinceton are now online! https://t.co/rJeVGXJ9Yg All other course materials (lecture notes, slides, assignments, jupyter notebooks, final project code): https://t.co/POmCOKszLz Hope someone finds these useful! Links👇

The slides and lectures notes that accompany my videos from the Applied Machine Learning course at Cornell are now available on Github! I'm sharing 20+ Jupyter notebooks that you can compile into HTML, PDF, or execute directly. https://t.co/3sTR0HXkSW

The video of my tutorial on Bayesian Decision Analysis, from PyData Global 2022, is available now. For links to the video, slides, and Jupyter notebook, start at https://t.co/CZnAaEsg1U

More Jupyter, DFIR and Data Science goodness 👀Data Science for DFIR - The Force Awakens by @j3ssgarcia @ds4n6_io Slides: Requires SANS account https://t.co/UaHRsk2akO 👉GitHub: https://t.co/b3SnoaePXc #SANS #DFIRSummit

Las slides de mi charla "Modelado Práctico de Amenazas y Defensas #BlueTeam con @MITREattack" aka, Hacme Cats vs FIN-Dogs. Priorización y analíticas con #Jupyter, #Python, ATT&CK Navigator y DeTT&CT en @C0r0n4CON https://t.co/Bn3HhYV8Bp #CoronaCon #EstoLoParamosHackeando

Wrote 4 #MachineLearning lectures for my new course this week (slides & #Python #Jupyter demos / hands-on)! I was hiding a bit. Yesterday, I added k-nearest neighbour regression. Nonparametric, flexible & a great introduction to hyperparameter tuning! https://t.co/JIzPfuRUXQ

#gischat do you find some great websites/books that summarise differences between ArcPro vs. QGIS vs. Python (Jupyter) as GIS? Revising slides for a GIS workshop and looking for ways to improve this summary table.

Slides for my tutorial on #DataScience (with Christian Garbin) at IEEE ICMLA 2019 are now available at: https://t.co/O7InrOaL4p. The companion Jupyter notebooks can be found at https://t.co/ESTsE08W7L #jupyter #python #tutorial #slides #programming #notebooks #ai

Turn your #jupyter notebooks into slides with the RISE extension https://t.co/HYzZE789tG #python #datascience #machinelearning

Just wanted to table some good news! It’s a book! (And I’m just about done final proofing ☺️) “From Social Science to Data Science”. Winter 2022. Sage. video talkthroughs (YouTube), Jupyter notebooks, exercises, and data (GitHub) and slides coming soon!

Slides for my presentation @CanadianGeotech webinar series today. https://t.co/eh4TN7uQ8i #geemap #leafmap #whiteboxtools #EarthEngine #foss #geospatial #opensource #jupyter #ipyleaflet

We are born Gaussian, but we grow up to be lognormal. Video, slides, and Jupyter notebooks from my talk @PyDataGlobal: https://t.co/fuQp4auSov Extremes, outliers, and GOATS: on life in a lognormal world

Turn your #jupyter notebooks into slides with the RISE extension https://t.co/46sgpUbaw2

#avhackoftheday Do you want to present your code or outputs in jupyter notebook as slides? Here's an easy way to do it using nbconvert! Checkout this video! Liked today's hack? Get access to more of such hacks on this free course : https://t.co/d3nGimqBqK

Just added a new lecture to my #YouTube channel on spatial data #representativity, mitigating #sampling #bias. Almost all #subsurface data is biased & the bias is often propagated into the model. Tried out #Jupyter Notebook Slides for the first time at https://t.co/m2Tiz0hTBF ∀.

The Chinese version of Dive into Deep Learning https://t.co/i9qUn1kZhJ just went into print yesterday. Kudos to Mu Li, Aston Zhang and Zack Lipton. Code, Slides, Videos, Jupyter, HTML, PDF and now also in paper.

Thank you everyone for attending my neuro-computational tutorial on decoding spikes and LFP with ML and python! Had so much fun! Jupyter notebooks + data + slides here: https://t.co/R6cIHQyAGk Thanks for hosting! @MIT_Picower @MIT_CBMM @MIT @MillerLabMIT Video coming soon ;)