Channel Avatar

UArizona DataLab @UCk35xhoV2s1_WlNMefLVsdQ@youtube.com

323 subscribers - no pronouns :c

The main objective of the UArizona Data Lab is organize trai


47:01
[2024 Fall] Natural Language Processing for AII: Introduction to NLP with SpaCy
55:32
[2024 Fall] Exploring the LLM Frontier: From Face to RAG and Beyond HuggingFace Models (NLP)
51:01
[2024 Fall] NextGen Geospatial Data Science Series: CyVerse Geospatial
57:21
[2024 Fall] Biosciences & Genomics Series: Exploring Analysis Platforms and HPC Resources
01:28:30
Dynamic programming Coin Change
45:36
[2024 Spring] NextGen Geospatial Data Science - Drone Image Analysis (DeepForest)
56:45
[2024 Spring] NextGen Geospatial Data Science - Planet Satellite Imagery with Austin Stone
37:02
[2024 Spring] Graph Machine Learning - Part 5: Introduction to Graph Attention Network
35:19
[2024 Spring] Mastering Machine Learning - Large Language Model
01:13:05
[2024 Spring] Data Science Tapas - Understanding Before Doing Part 2
48:11
Solving random problems 1
49:59
Dynamic programming gold mine problem: day1
01:35:57
Dynamic programming 4 : Backtracking- Rat in a maze problem
39:26
[2024 Spring] Data Science Essentials - Overview of Deep Learning Algorithms
30:05
Dynamic Programming - Gold mine thief problem day 3 recursion + cache + iteration
47:22
[Spring 2024] Cracking the Code Interview: Dynamic Programming : goldmine problem day 2
54:21
[2024 Spring] NextGen Geospatial Data Science - Containerized Pipelines
48:56
[2024 Spring] Graph Machine Learning - Part 4: Introduction to Graph Convolutions
43:10
[2024 Spring] Graph Machine Learning - Part 3: Basics of GNN: Node Classification
01:46:49
20240412 FOSS+ Databases Shashank
38:58
[2024 Spring] Mastering Machine Learning - Autoencoders
30:46
[Spring 2024] Level Order traversal 2: Cracking The Coding Interview
54:41
[2024 Spring] Data Science Tapas - Understanding Before Doing Part 1
50:43
[2024 Spring] Data Science Essentials - Natural Language Processing
48:58
[2024 Spring] Cracking the Coding Interview - Dynamic programming Continued 1
51:11
[2024 Spring] Graph Machine Learning Part 2 - Node representations: Deepwalk and node2vec
53:41
[2024 Spring] Data Science Essentials - Machine Learning with Scikit-Learn
01:06:26
[2024 Spring] Cracking the Coding Interview - Lecture 11: Binary Tree Continued
53:22
[2024 Spring] NextGen Geospatial Data Science - Google Earth Engine
47:09
[2024 Spring] NextGen Geospatial Data Science - Microsoft Planetary Computer
48:16
[2024 Spring] Mastering Machine Learning - Convolutional Neural Networks (CNN)
01:37:28
20240404 FOSS+ HPC2
47:30
[2024 Spring] Cracking the Coding Interview - Lecture 9: Binary Tree 1
45:04
[2024 Spring] Deep Dive into Data Series: Applications of Deep Learning 4
01:01:15
[2024 Spring] Graph Machine Learning - Part 1
50:32
[2024 Spring] Mastering Machine Learning - Recurrent Neural Networks (RNN)
56:35
[2024 Spring] Data Science Tapas - Markdown
50:03
[2024 Spring] Data Engineering - Introduction to Spark and Pyspark
01:03:04
[2024 Spring] Cracking the Coding Interview Lecture 3: Linked List
01:37:28
[2024 Spring] FOSS+ HPC and Apptainer
01:39:42
[2024 Spring] FOSS+ S24 Docker
53:40
[2024 Spring] Mastering Machine Learning - Perceptrons/Neural Networks
47:35
[2024 Spring] Mastering Machine Learning - Reinforcement Learning
51:11
[2024 Spring] Data Engineering - Introduction to Hadoop and Hive
20:53
Lecture 7: Sliding window: [2024 Spring] Cracking the Coding Interview -
54:53
[2024 Spring] Data Science Essentials - Time Series Forecasting
55:04
[2024 Spring] Data Science Essentials - Time Series Analysis
50:56
[2024 Spring] NextGen Geospatial Data Science - SpatioTemporal Asset Catalogs
37:45
[2024 Spring] Data Engineering - Introduction to noSQL: Part 2
01:41
Reinforcement Learning Lunar Lander
01:00:58
[2024 Spring] Deep Dive Into Data: A Guide to Deep Learning - Applications of Deep Learning 2
37:31
[2024 Spring] NextGen Geospatial Data Science - Xarray & Zarr
51:06
[2024 Spring] Data Science Essentials - Exploratory Data Analysis
33:57
[2024 Spring] Data Engineering - Introduction to noSQL: Part 1
01:08:35
Lecture 5: Dynamic Programming 2:[2024 Spring] Cracking the Coding Interview
52:52
[2024 Spring] Mastering Machine Learning - Ensemble Learning: Bagging, Boosting and Stacking
59:12
Lecture 4: Dynamic Programming1: [2024 Spring] Cracking the Coding Interview -
01:03:57
[2024 Spring] Deep Dive into Data Series: Applications of Deep Learning 1
44:02
[2024 Spring] Data Science Tapas - Intro to Project Managment: Part 3
51:40
[2024 Spring] Data Science Essentials - Python Visualization Libraries: Part 2