📐 ML Fundamentals

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

ML Fundamentals

Webinar: Advising for the University of North Texas Bachelor of Applied Arts and Sciences Degree

Coursera Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

K-Nearest Neighbor from scratch - Machine Learning Python

Aladdin Persson Beginner 6y ago

ML Fundamentals

The New Reality and Impact of COVID-19 on Higher Education Panel [2020 Coursera Virtual Conference]

Coursera Beginner 6y ago

ML Fundamentals

Step By Step Process To Learn Machine Learning Algorithm Efficiently

Krish Naik Beginner 6y ago

ML Fundamentals

MLOps meetup #7 Alex Spanos // TrueLayer 's MLOps Pipeline

MLOps.community Beginner 6y ago

ML Fundamentals

Neural Networks from Scratch - P.3 The Dot Product

sentdex Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

3rd wave of data scientists

MLOps.community Beginner 6y ago

ML Fundamentals

Intro to Deep Learning -- Student Presentations, Day 1 [Stat453, SS20]

Sebastian Raschka Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Spam Classifier using Naive Bayes in Python

Aladdin Persson Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

[Rant] The Male Only History of Deep Learning

Yannic Kilcher Beginner 6y ago

ML Fundamentals

Python Tutorial: Fraud detection algorithms in action

DataCamp Beginner 6y ago

ML Fundamentals

Python Tutorial: Introduction to fraud detection

DataCamp Beginner 6y ago

ML Fundamentals

Intro to Deep Learning -- L16 Generative Adversarial Networks [Stat453, SS20]

Sebastian Raschka Beginner 6y ago

ML Fundamentals

Tutorial 49- How To Apply Naive Bayes' Classifier On Text Data (NLP)- Machine Learning

Krish Naik Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Backpropagation and the brain

Yannic Kilcher Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Self Driving Cars and Pedestrians

Data Skeptic Beginner 6y ago

ML Fundamentals

This AI Learned to Summarize Videos 🎥

Two Minute Papers Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Neural Networks from Scratch - P.2 Coding a Layer

sentdex Beginner 6y ago

ML Fundamentals

Coursera for Campus: Supporting Universities During COVID-19 [2020 Coursera Virtual Conference]

Coursera Beginner 6y ago

ML Fundamentals

Coursera Keynote from Jeff Maggioncalda, Coursera CEO [2020 Coursera Virtual Conference]

Coursera Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Reproducability flaws in end to end Machine Learning debugging

MLOps.community Beginner 6y ago

ML Fundamentals

Standardization of Machine Learning tools like in Software Engineering with Venkata Pingali

MLOps.community Beginner 6y ago

ML Fundamentals

Adjacent usecases and multistep feature engineering

MLOps.community Beginner 6y ago

ML Fundamentals

Checkpointing, metadata, and confidence in your data

MLOps.community Beginner 6y ago

ML Fundamentals

How many models in prod til I need a dedicated ML platform?

MLOps.community Beginner 6y ago

ML Fundamentals

More difficult transition for data scientists to become ML engineers

MLOps.community Beginner 6y ago

ML Fundamentals

Venkata Pingali of Scribble Data Thoughts on the Current State of Machine Learning

MLOps.community Beginner 6y ago

ML Fundamentals

Tutorial 48- Naive Bayes' Classifier Indepth Intuition- Machine Learning

Krish Naik Beginner 6y ago

ML Fundamentals

Pytorch DCGAN Tutorial (See description for updated video)

Aladdin Persson Beginner 6y ago

ML Fundamentals

Tutorial 47- Bayes' Theorem| Conditional Probability- Machine Learning

Krish Naik Beginner 6y ago

ML Fundamentals

Python Tutorial : Transforming features for better clusterings

DataCamp Beginner 6y ago

ML Fundamentals

Python Tutorial : Unsupervised Learning in Python

DataCamp Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Python Tutorial : Logistic regression

DataCamp Beginner 6y ago

ML Fundamentals

Python Tutorial : Introduction to Linear Modeling in Python

DataCamp Beginner 6y ago

ML Fundamentals

Python Tutorial: Basics of cluster analysis

DataCamp Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Python Tutorial: Unsupervised learning: basics

DataCamp Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Python Tutorial : Fundamentals of AI in Python

DataCamp Beginner 6y ago

ML Fundamentals

Python Tutorial : Three flavors of Machine Learning

DataCamp Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Python Tutorial: Reading, inspecting, & cleaning data from csv files

DataCamp Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

R Tutorial: A first taste of Bayes

DataCamp Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Python Tutorial : Constants and variables

DataCamp Beginner 6y ago

ML Fundamentals

Python Tutorial : Advanced operations

DataCamp Beginner 6y ago

ML Fundamentals

R Tutorial: Introduction to feature engineering in R

DataCamp Beginner 6y ago

ML Fundamentals

Solving Kaggle Credit Card Fraud Detection Using Pycaret Library- Data Science

Krish Naik Beginner 6y ago

ML Fundamentals

Resume driven development in Machine learning & software engineering

MLOps.community Beginner 6y ago

ML Fundamentals

Swiss Cheese model in Machine Learning

MLOps.community Beginner 6y ago

ML Fundamentals

Learning from real life Machine Learning failures

MLOps.community Beginner 6y ago

ML Fundamentals ⚡ AI Lesson

Pytorch TensorBoard Tutorial

Aladdin Persson Beginner 6y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Analyze Data Science Concepts Using R

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Digital Signal Processing 1: Basic Concepts and Algorithms

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Self-paced

Machine Learning in the Enterprise - Español

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📚 Coursera Course ↗

Self-paced

Recommendation Systems on Google Cloud

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📚 Coursera Course ↗

Self-paced

Python and Machine Learning for Asset Management

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📚 Coursera Course ↗

Self-paced

TensorFlow Prediction: Identify Penguin Species

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📚 Coursera Course ↗

Self-paced

Custom and Distributed Training with TensorFlow

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📚 Coursera Course ↗

Self-paced

Foundations of Probability and Random Variables

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📚 Coursera Course ↗

Self-paced

Machine Learning Capstone

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📚 Coursera Course ↗

Self-paced

Foundations and Core Concepts of PyTorch

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📚 Coursera Course ↗

Self-paced

Carbon Aware Computing for GenAI Developers

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📚 Coursera Course ↗

Self-paced

Introduction to Computer Vision

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📚 Coursera Course ↗

Self-paced

Machine Learning Operations (MLOps): Getting Started - Português Brasileiro

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📚 Coursera Course ↗

Self-paced

Machine Learning for Medical Data

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📚 Coursera Course ↗

Self-paced

Developing Machine Learning Solutions

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Finding Mutations in DNA and Proteins (Bioinformatics VI)

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📚 Coursera Course ↗

Self-paced

Customer Segmentation with K-Means: Model & Visualize

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📚 Coursera Course ↗

Self-paced

Chatbots with Keras & NLP: Build & Evaluate

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