📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

ML Fundamentals

Why There Are So Many Start Ups In AI, ML And DL? Important For Everyone

Krish Naik Beginner 5y ago

ML Fundamentals

This Book will Help you Land a Data Science Job

Data Professor Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

8.4 Bias and Variance vs Overfitting and Underfitting (L08: Model Evaluation Part 1)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

8.3 Bias-Variance Decomposition of the Squared Error (L08: Model Evaluation Part 1)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Curse of Dimensionality : Data Science Basics

ritvikmath Beginner 5y ago

ML Fundamentals

How to Build Classification Models (Weka Tutorial #2)

Data Professor Beginner 5y ago

ML Fundamentals

WGAN implementation from scratch (with gradient penalty)

Aladdin Persson Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Devin Robison - Optimizing model performance | JupyterCon 2020

JupyterCon Intermediate 5y ago

ML Fundamentals

Deep Learning-All Optimizers In One Video-SGD with Momentum,Adagrad,Adadelta,RMSprop,Adam Optimizers

Krish Naik Intermediate 5y ago

21:09

ML Fundamentals ⚡ AI Lesson

Types Of Machine Learning | Machine Learning Algorithms | Machine Learning Tutorial | Simplilearn

Simplilearn Beginner 5y ago

ML Fundamentals

Handle unknown categories with OneHotEncoder by encoding them as zeros

Data School Beginner 5y ago

ML Fundamentals

Jetson AI Fundamentals - S3E4 - Object Detection Inference

NVIDIA Developer Beginner 5y ago

ML Fundamentals

Thorin Tabor - Democratizing the accessibility of computational workflows | JupyterCon 2020

JupyterCon Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

Inside TensorFlow: TF NumPy

TensorFlow Intermediate 5y ago

ML Fundamentals

DCGAN implementation from scratch

Aladdin Persson Beginner 5y ago

ML Fundamentals

Backpropagation Details Pt. 2: Going bonkers with The Chain Rule

StatQuest with Josh Starmer Beginner 5y ago

ML Fundamentals

Backpropagation Details Pt. 1: Optimizing 3 parameters simultaneously.

StatQuest with Josh Starmer Beginner 5y ago

ML Fundamentals

Charles Isbell: Computing, Interactive AI, and Race in America | Lex Fridman Podcast #135

Lex Fridman Beginner 5y ago

ML Fundamentals

Data augmentation to address overfitting | Deep Learning Tutorial 26 (Tensorflow, Keras & Python)

codebasics Beginner 5y ago

ML Fundamentals

🔥 Integrate Weights & Biases with PyTorch

Weights & Biases Intermediate 5y ago

ML Fundamentals

🥕 Integrate Weights & Biases with Keras

Weights & Biases Beginner 5y ago

ML Fundamentals

Getting ready to learn Python, Mac edition #5: Write and run a Python program

Brandon Rohrer Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

#TWIMLfest: So You Want to Teach an AI/ML Course?

The TWIML AI Podcast with Sam Charrington Intermediate 5y ago

ML Fundamentals

DeepLearning.AI Learner Community Event ft. Ghaith Sankari

DeepLearningAI Beginner 5y ago

ML Fundamentals

DeepLearning.AI Learner Community Event ft. Jan Jitse Venselaar

DeepLearningAI Beginner 5y ago

ML Fundamentals

Encode categorical features using OneHotEncoder or OrdinalEncoder

Data School Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Getting ready to learn Python, Mac edition #4: Install and run Python

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Accelerating Large-Scale Recommenders with NVIDIA Merlin on DGX A100

NVIDIA Developer Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Twitter sentiment analysis by Benson Ruan - Made with TensorFlow.js

TensorFlow Intermediate 5y ago

ML Fundamentals

Schedule Python Tasks (in Windows) : Data Science Code

ritvikmath Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

We're hosting a Machine Learning Conference!

CodeEmporium Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

8.2 Intuition behind bias and variance (L08: Model Evaluation Part 1)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

8.1 Intro to overfitting and underfitting (L08: Model Evaluation Part 1)

Sebastian Raschka Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Jeffrey Mew - Supercharge your Data Science workflow | JupyterCon 2020

JupyterCon Intermediate 5y ago

ML Fundamentals

Deep Learning-Activation Functions-Elu, PRelu,Softmax,Swish And Softplus

Krish Naik Intermediate 5y ago

ML Fundamentals

Difficulties I Faced As A Data Scientist-Sharing My Experience From Start

Krish Naik Beginner 5y ago

ML Fundamentals

Building our first simple GAN

Aladdin Persson Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

How to Build Regression Models (Weka Tutorial #1)

Data Professor Beginner 5y ago

ML Fundamentals

Saturday Live Q&A Ask Anything Regarding Data Science

Krish Naik Intermediate 5y ago

ML Fundamentals

Tutorial 4- Julia For Data Science-String In Julia Along With Indepth Functions

Krish Naik Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

An Introduction to Generative Adversarial Networks (GANs)

Aladdin Persson Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

🎨 Log (Almost) Anything with Weights & Biases

Weights & Biases Intermediate 5y ago

ML Fundamentals

deeplearning.ai Learner Community Event ft. Roger Smith

DeepLearningAI Beginner 5y ago

ML Fundamentals

Ines & Sofie — Building Industrial-Strength NLP Pipelines

Weights & Biases Beginner 5y ago

ML Fundamentals

7.7 Stacking (L07: Ensemble Methods)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

7.6 Random Forests (L07: Ensemble Methods)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Getting ready to learn Python, Mac edition #3: Creating and editing text files

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Updated Best YouTube Channels To Learn Data Science For Free

Krish Naik Beginner 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Introduction to Generative AI - Bahasa Indonesia

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AWS: IoT, Machine Learning and Blockchain

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Introduction to AI and Machine Learning on GC - Italiano

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Machine Learning Essentials for Business and Technical Decision Makers

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Machine Learning in the Enterprise - Italiano

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Introduction to Image Generation - Italiano

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Machine Learning Projects in R with Caret

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Become AI-Ready: Deep Learning Fundamentals

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Build Intelligent iOS Apps with Core ML 3: Learn & Apply AI

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Responsible AI: Applying AI Principles with GC - Italiano

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Introduction Course to Autoencoders, VAEs, and GANs

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Predictive Modeling and Machine Learning with MATLAB

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Create Image Captioning Models - Italiano

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Sequence Modeling, Transformers, and Transfer Learning

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Deep Learning RNN & LSTM: Stock Price Prediction

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AI & Deep Learning Concepts and Applications

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Deep Learning with PyTorch : Generative Adversarial Network

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Bracketology with Google Machine Learning

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