📐 ML Fundamentals

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

ML Fundamentals

5 Machine Learning BEGINNER Projects (+ Datasets & Solutions)

Patrick Loeber Beginner 5y ago

ML Fundamentals

Getting ready to learn Python, Mac edition #2: Navigating from the command line

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Getting ready to learn Python, Mac edition #1: Files and directories

Brandon Rohrer Beginner 5y ago

ML Fundamentals

6.7 Code Example Implementing Decision Trees in Scikit-Learn (L06: Decision Trees)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

6.6 Improvements & dealing with overfitting (L06: Decision Trees)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Jetson AI Fundamentals - S2E3 - JetBot Collision Avoidance

NVIDIA Developer Beginner 5y ago

ML Fundamentals

Fireside Chat: Jeff Maggioncalda, CEO, Coursera and Professor Anju Seth, Director, IIM Calcutta

Coursera Beginner 5y ago

ML Fundamentals

Leadership In Extraordinary Times: Talking To Consumers

Saïd Business School, University of Oxford Advanced 5y ago

ML Fundamentals

Clinical Research with FHIR

Microsoft Research Beginner 5y ago

ML Fundamentals

YogAI: TensorFlow powered yoga instructor - Made with TensorFlow.js

TensorFlow Beginner 5y ago

ML Fundamentals

Neural Networks are for Type-Casting with Charles Frye

Weights & Biases Beginner 5y ago

ML Fundamentals

Jesse Mu on Explaining Neurons Compositionally

Weights & Biases Beginner 5y ago

ML Fundamentals

What is stemming and lemmatization?

Abhishek Thakur Beginner 5y ago

ML Fundamentals

Why Automation Will Not Kill Data Science Jobs?

Krish Naik Intermediate 5y ago

ML Fundamentals

Simple explanation of convolutional neural network | Deep Learning Tutorial 23 (Tensorflow & Python)

codebasics Beginner 5y ago

ML Fundamentals

Data Augmentation with TensorFlow's Keras API

deeplizard Beginner 5y ago

ML Fundamentals

#TWIMLfest: Live Keynote Interview with Shakir Mohamed - #418

The TWIML AI Podcast with Sam Charrington Advanced 5y ago

ML Fundamentals

Webinar: Bachelor of Applied Arts and Sciences (B.A.A.S.) Financial Aid & Admissions Overview

Coursera Beginner 5y ago

ML Fundamentals

Jetson AI Fundamentals - S1E3 - Image Classification Project

NVIDIA Developer Beginner 5y ago

ML Fundamentals

Facebook's Code Checker - Computerphile

Computerphile Intermediate 5y ago

ML Fundamentals

#Smart Space - The new frontier

Saïd Business School, University of Oxford Intermediate 5y ago

ML Fundamentals

Future Of Python-Will It be Replaced?

Krish Naik Intermediate 5y ago

ML Fundamentals

YOLOv1 from Scratch

Aladdin Persson Beginner 5y ago

ML Fundamentals

¿Por qué la Realidad Aumentada NECESITA a la Inteligencia Artificial?

Dot CSV Beginner 5y ago

ML Fundamentals

Low Pass Filters & High Pass Filters : Data Science Concepts

ritvikmath Beginner 5y ago

ML Fundamentals

How to ask technical questions in a right way?

codebasics Beginner 5y ago

ML Fundamentals

TensorFlow Tutorial 09 - Transfer Learning

Patrick Loeber Beginner 5y ago

ML Fundamentals

Real Time AI GESTURE RECOGNITION with Tensorflow.JS + React.JS + Fingerpose

Nicholas Renotte Intermediate 5y ago

ML Fundamentals

Dive into Deep Learning (Study Group): Modern CNNs | Session 7

Elvis Saravia Beginner 5y ago

ML Fundamentals

DeepFakes in 5 minutes | Understand how deepfakes work and create your own!

What's AI by Louis-François Bouchard Beginner 5y ago

ML Fundamentals

Mean Average Precision (mAP) Explained and PyTorch Implementation

Aladdin Persson Beginner 5y ago

ML Fundamentals

Story of Mel - Computerphile

Computerphile Intermediate 5y ago

ML Fundamentals

6.5 Gini & Entropy versus misclassification error (L06: Decision Trees)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

W&B Deep Learning Salon - Jesse Mu and Charles Frye

Weights & Biases Beginner 5y ago

ML Fundamentals

Jetson AI Fundamentals - S2E1 - JetBot Intro and Hardware

NVIDIA Developer Beginner 5y ago

ML Fundamentals

Custom Charts in Weights & Biases

Weights & Biases Beginner 5y ago

ML Fundamentals

Xgboost Classification Indepth Maths Intuition- Machine Learning Algorithms🔥🔥🔥🔥

Krish Naik Intermediate 5y ago

ML Fundamentals

Black History Month - Listen. Learn. Lead.

Saïd Business School, University of Oxford Beginner 5y ago

ML Fundamentals

About the Midterm exam

Sebastian Raschka Intermediate 5y ago

ML Fundamentals

Hottest And Best Domains Where Data Scientist And Data Analyst Are Paid More Salaries 🔥🔥🔥🔥

Krish Naik Beginner 5y ago

ML Fundamentals

TensorFlow Tutorial 08 - Classify Lego Star Wars Minifigures | Full Project Walkthrough

Patrick Loeber Beginner 5y ago

ML Fundamentals

Batch normalization

Brandon Rohrer Beginner 5y ago

ML Fundamentals

The Softmax neural network layer

Brandon Rohrer Intermediate 5y ago

ML Fundamentals

Live Q&A For Aspiring Data Scientist-Ask Any Question Regarding Data Science

Krish Naik Intermediate 5y ago

ML Fundamentals

Applications of computer vision | Deep Learning Tutorial 22 (Tensorflow2.0, Keras & Python)

codebasics Beginner 5y ago

ML Fundamentals

6.4 Splitting criteria (L06: Decision Trees)

Sebastian Raschka Intermediate 5y ago

ML Fundamentals

Non Max Suppression Explained and PyTorch Implementation

Aladdin Persson Beginner 5y ago

ML Fundamentals

TensorFlow Tutorial 07 - Functional API + Multi-output Project

Patrick Loeber Beginner 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Python: Implement & Evaluate Random Forests for ML

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Self-paced

Recommender Systems with Machine Learning

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📚 Coursera Course ↗

Self-paced

Encoder-Decoder Architecture

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📚 Coursera Course ↗

Self-paced

Artificial Intelligence in Social Media Analytics

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📚 Coursera Course ↗

Self-paced

Discrete Math for Computer Science - Counting & Probability

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📚 Coursera Course ↗

Self-paced

AppDynamics Monitoring

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📚 Coursera Course ↗

Self-paced

Artificial Intelligence Privacy and Convenience

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📚 Coursera Course ↗

Self-paced

Optimize and Deploy Edge AI Models

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📚 Coursera Course ↗

Self-paced

Digital Signal Processing 1: Basic Concepts and Algorithms

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Innovating with Google Cloud Artificial Intelligence

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📚 Coursera Course ↗

Self-paced

Mastering Python for Data Science

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📚 Coursera Course ↗

Self-paced

Recommender Systems Complete Course Beginner to Advanced

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📚 Coursera Course ↗

Self-paced

Deep Learning with R: Build & Predict Neural Networks

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📚 Coursera Course ↗

Self-paced

Customer Segmentation with K-Means: Model & Visualize

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📚 Coursera Course ↗

Self-paced

Physics 101 - Energy and Momentum

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📚 Coursera Course ↗

Self-paced

Supervised Text Classification for Marketing Analytics

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📚 Coursera Course ↗

Self-paced

Application of AI, InsurTech, and Real Estate Technology

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📚 Coursera Course ↗

Self-paced

AI for Design and Optimization

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