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djbassel | 129 videos | Updated 1 month ago
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7:39

Predicting Stock Prices - Learn Python for Data Science #4

Siraj Raval

10:05

Learn Machine Learning in 3 Months (with curriculum)

Siraj Raval

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[Private video]

4:41

I wish I had found this FREE PYTHON resource much EARLIER!

Python Programmer

1:51:03

Natural Language Processing in Python

PyOhio

6:53

Twitter Sentiment Analysis - Learn Python for Data Science #2

Siraj Raval

10:36

Sentiment Analysis

Siraj Raval

12:45

A Gentle Introduction to Machine Learning

StatQuest with Josh Starmer

10:44

P vs. NP and the Computational Complexity Zoo

hackerdashery

18:40

But what is a neural network? | Deep learning chapter 1

3Blue1Brown

26:14

How Convolutional Neural Networks work

Brandon Rohrer

1:08:06

Deep Learning Basics: Introduction and Overview

Lex Fridman

6:11

Active (Machine) Learning - Computerphile

Computerphile

9:41

How Face ID Works... Probably - Computerphile

Computerphile

39:34

Watch Me Build an AI Startup

Siraj Raval

15:42

Inside a Neural Network - Computerphile

Computerphile

35:33

Machine Learning Zero to Hero (Google I/O'19)

TensorFlow

11:05

AI Learns to Park - Deep Reinforcement Learning

Samuel Arzt

9:38:32

Machine Learning Full Course - Learn Machine Learning 10 Hours | Machine Learning Tutorial | Edureka

edureka!

14:50

AI vs Machine Learning vs Deep Learning | AI vs ML vs DL - Differences Explained | Edureka

edureka!

1:36:17

Clas - 5 Data Science Training | Decision Tree Classifier Explained | Edureka

edureka!

4:36

Is a Realistic Honey Simulation Possible? 🍯

Two Minute Papers

5:16:46

Docker Full Course - Learn Docker in 5 Hours | Docker Tutorial For Beginners | Edureka

edureka!

9:09

Neural Network Architectures & Deep Learning

Steve Brunton

14:20

Two Effective Algorithms for Time Series Forecasting

InfoQ

9:02

Google and Amazon are now in the oil business

Vox

38:21

ARIMA in Python - Time Series Forecasting Part 2 - Datamites Data Science Projects

DataMites

20:41

Python Seaborn Tutorial | Data Visualization in Python Using Seaborn | Edureka

edureka!

1:22:52

Plotly Tutorial 2023

Derek Banas

1:47

Tippy (Tiffany) "Daddy Chill" (And Miguel Explains What Happend)

J GamerUAV34

5:52

Deep Learning | What is Deep Learning? | Deep Learning Tutorial For Beginners | 2023 | Simplilearn

Simplilearn

43:59

Managing Teams for Data Science, Analytics, and AI (CXOTalk # 326)

CXOTalk

11:52

Shapley Additive Explanations (SHAP)

KIE

9:52:19

Machine Learning Course for Beginners

freeCodeCamp.org

41:29

Machine Learning with Tree-Based Models in Python | ML Training | Edureka | ML Rewind - 1

edureka!

 LIVE

[Private video]

2:47:55

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

freeCodeCamp.org

1:27:41

Introduction to ML and AI - MFML Part 1

Cassie Kozyrkov

0:59

Deep Learning vs. Machine Learning, which is better?

AssemblyAI

32:46

How does Netflix recommend movies? Matrix Factorization

Serrano.Academy

12:25

Bias-Variance Tradeoff : Data Science Basics

ritvikmath

4:23

Bagging vs Boosting - Ensemble Learning In Machine Learning Explained

DataMListic

6:50

The 7 Types of AI - And Why We Talk (Mostly) About 3 of Them

IBM Technology

31:28

Building a neural network FROM SCRATCH (no Tensorflow/Pytorch, just numpy & math)

Samson Zhang

10:12

Cross Validation : Data Science Concepts

ritvikmath

8:25

Large Language Models from scratch

Graphics in 5 Minutes

13:01

Machine Learning System Design (YouTube Recommendation System)

ML Tech Track

4:11

Understanding Neural Networks: The Building Blocks of AI What Is A Neural Network?

The AI Guy

46:41

Feature selection in machine learning | Full course

Data Science with Marco

35:45

How to Build an LLM from Scratch | An Overview

Shaw Talebi

28:06

Principal component analysis step by step | PCA explained step by step | PCA in statistics

Unfold Data Science

0:50

Order from chaos

3Blue1Brown

36:44

148 - 7 techniques to work with imbalanced data for machine learning in python

DigitalSreeni

2:06:38

This is why Deep Learning is really weird.

Machine Learning Street Talk

8:14

Loss functions in Neural Networks - EXPLAINED!

CodeEmporium

37:16:41

Deep Learning for Computer Vision with Python and TensorFlow – Complete Course

freeCodeCamp.org

8:37

Convolutional Neural Networks (CNNs) explained

deeplizard

10:06

Forward Propagation and Backward Propagation | Neural Networks | How to train Neural Networks

Learn With Jay

0:53

What is Gradient Descent in Machine Learning?

Greg Hogg

30:18:02

Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More

freeCodeCamp.org

27:45

Feature Selection in Python | Machine Learning Basics | Boston Housing Data

Ciara Feely

10:15:28

Learn TensorFlow and Deep Learning fundamentals with Python (code-first introduction) Part 1/2

Daniel Bourke

5:42:21

Deep Learning Indepth Tutorials In 5 Hours With Krish Naik

Krish Naik

7:15

Bias and Variance for Machine Learning | Deep Learning

AssemblyAI

9:41:40

PyTorch for Deep Learning - Full Course / Tutorial

freeCodeCamp.org

1:11:16

Lecture 6: Backpropagation

Michigan Online

9:26

Stacking Ensemble Learning|Stacking and Blending in ensemble machine learning

Unfold Data Science

1:16:18

Ensembling, Blending & Stacking

Abhishek Thakur

4:41:25

Build an AI/ML Tennis Analysis system with YOLO, PyTorch, and Key Point Extraction

Code In a Jiffy

0:57

Why ResNet (Residual Connections) Works #datascience #machinelearning #deeplearning #neuralnetworks

DataMListic

7:08

C4W2L03 Resnets

DeepLearningAI

10:45

Object Detection in 10 minutes with YOLOv5 & Python!

Rob Mulla

4:21

Top 6 Most Popular API Architecture Styles

ByteByteGo

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[Private video]

0:53

Object Detection in 60 Seconds using Python and YOLOv5 #shorts

Rob Mulla

1:05:06

Deep Recommender Systems at Facebook feat. Carole-Jean Wu | Stanford MLSys Seminar Episode 24

Stanford MLSys Seminars

3:43

Types of RNN | Recurrent Neural Network Types | Deep Learning Tutorial 34 (Tensorflow & Python)

codebasics

1:02:50

MIT 6.S191 (2023): Recurrent Neural Networks, Transformers, and Attention

Alexander Amini

0:53

Recurrent Neural Networks to Sentence Transformer

CodeEmporium

1:56:20

Let's build GPT: from scratch, in code, spelled out.

Andrej Karpathy

1:00

What are LSTMs?

CodeEmporium

19:48

Normalization Vs. Standardization (Feature Scaling in Machine Learning)

Prof. Ryan Ahmed

0:58

5 concepts in transformer neural networks (Part 1)

CodeEmporium

6:34

Illustrated Guide to Attention - How ChatGPT Reads

Dev G

1:00

BERT vs GPT

CodeEmporium

11:51

Introduction to Explainable AI (XAI) | Interpretable models, agnostic methods, counterfactuals

A Data Odyssey

1:01

PCA explained in 60 seconds #datascience

Shaw Talebi

15:41

SHAP with Python (Code and Explanations)

A Data Odyssey

4:28:36

Build an AI/ML Football Analysis system with YOLO, OpenCV, and Python

Code In a Jiffy

0:40

Learn from LangChain, BUT Don’t Build With It!!!

Prolego

4:39:50

Mathematics of neural network

Computer Science with Dr. RCB

0:50

What is BERT

CodeEmporium

32:41

Geometry and Neural Networks by Professor Eli Grigsby

Math Prize for Girls - Official site

31:51

MAMBA from Scratch: Neural Nets Better and Faster than Transformers

Algorithmic Simplicity

56:07

33. Neural Nets and the Learning Function

MIT OpenCourseWare

9:22

The Absolutely Simplest Neural Network Backpropagation Example

Mikael Laine

23:20

Who's Adam and What's He Optimizing? | Deep Dive into Optimizers for Machine Learning!

Sourish Kundu

1:32:02

Understanding Deep Learning -- Transformers

San Diego Machine Learning

4:49

Least Squares vs Maximum Likelihood

DataMListic

29:00

Top Optimizers for Neural Networks

Machine Learning Studio

0:55

The efficient compute frontier.

Welch Labs

17:38

The moment we stopped understanding AI [AlexNet]

Welch Labs

14:08

A Helping Hand for LLMs (Retrieval Augmented Generation) - Computerphile

Computerphile

0:55

The efficient compute frontier.

Welch Labs

17:38

The moment we stopped understanding AI [AlexNet]

Welch Labs

14:08

A Helping Hand for LLMs (Retrieval Augmented Generation) - Computerphile

Computerphile

6:34

Markov Decision Processes (MDPs) - Structuring a Reinforcement Learning Problem

deeplizard

25:00

145 - Confusion matrix, ROC and AUC in machine learning

DigitalSreeni

40:08

The Most Important Algorithm in Machine Learning

Artem Kirsanov

28:27

Hyperparameter Tuning For Neural Networks in Python

NeuralNine

28:43

The Complete Guide to Building AI Agents for Beginners

Arseny Shatokhin

1:04:48

Train Yolov8 object detection on a custom dataset | Step by step guide | Computer vision tutorial

Computer vision engineer

42:31

YOLOv8 | How to Train for Object Detection on a Custom Dataset | Computer Vision

DSwithBappy

1:25

Visualization of Data Preparation for a Neural Net (RNN/LSTM/GRU)

Jaggz Tech

9:53

Vanishing and exploding gradients | Deep Learning Tutorial 35 (Tensorflow, Keras & Python)

codebasics

6:47

Transformer models: Encoder-Decoders

HuggingFace

8:48

How to Make a Language Translator - Intro to Deep Learning #11

Siraj Raval

2:01:24

Build a Generative Adversarial Neural Network with Tensorflow and Python | Deep Learning Projects

Nicholas Renotte

33:17

Whisper Paper Explained: Robust Speech Recognition via Large-Scale Weak Supervision

Aladdin Persson

18:48

15 Machine Learning Lessons I Wish I Knew Earlier

Infinite Codes

57:45

Visualizing transformers and attention | Talk for TNG Big Tech Day '24

Grant Sanderson

11:41

Autoencoders | Deep Learning Animated

Deepia

8:25

Reinforcement Learning from scratch

Graphics in 5 Minutes

19:57

17 Python Libraries Every AI Engineer Should Know

Dave Ebbelaar

46:44

Building AI Agents in Pure Python - Beginner Course

Dave Ebbelaar

21:02

RAG's Intelligent Upgrade: Agentic RAR (Oxford Univ)

Discover AI

8:49

Principal Component Analysis (PCA) Explained: Simplify Complex Data for Machine Learning

IBM Technology

20:31

YOLOv8: How to Train for Object Detection on a Custom Dataset

Roboflow

11:52

MLFlow Tutorial Part-1 : Introduction to Experiment Tracking with MLflow | MLFlow | Karndeep Singh

Karndeep Singh

22:57

The Misconception that Almost Stopped AI [How Models Learn Part 1]

Welch Labs

21:27

AI Agents Fundamentals In 21 Minutes

Tina Huang

7:29

What Is a Triage AI Agent? Automation & Multi-Agent Systems Explained

IBM Technology

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