📐 ML Fundamentals

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

ML Fundamentals

Singular Value Decomposition : Data Science Basics

ritvikmath Beginner 5y ago

ML Fundamentals

Linear Regression From Scratch - Part 1

Imaad Mohamed Khan Beginner 5y ago

ML Fundamentals

Build a Validation Set With TensorFlow's Keras API

deeplizard Intermediate 5y ago

ML Fundamentals

Unsupervised Learning | PCA and Clustering | Data Science with Marco

Data Science with Marco Beginner 5y ago

ML Fundamentals

Live- Implementation of End To End Kaggle Machine Learning Project With Deployment

Krish Naik Beginner 5y ago

ML Fundamentals

An Inconvenient Fact: Private Equity Returns vs The Billionaire Factory

Saïd Business School, University of Oxford Intermediate 5y ago

ML Fundamentals

Eigendecomposition : Data Science Basics

ritvikmath Beginner 5y ago

ML Fundamentals

14: Rate Models and Perceptrons - Intro to Neural Computation

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

Live Discussion - How To Read Text From Images Using Pytesseract

Krish Naik Intermediate 5y ago

ML Fundamentals

Is data science a hype? | Is data science a bubble?

codebasics Beginner 5y ago

ML Fundamentals

Train an Artificial Neural Network with TensorFlow's Keras API

deeplizard Intermediate 5y ago

ML Fundamentals

Complete Pytorch Tensor Tutorial (Initializing Tensors, Math, Indexing, Reshaping)

Aladdin Persson Beginner 5y ago

ML Fundamentals

FREE Machine Learning Crash Course from Google

Data Professor Beginner 5y ago

ML Fundamentals

David Patterson: Computer Architecture and Data Storage | Lex Fridman Podcast #104

Lex Fridman Beginner 5y ago

ML Fundamentals

Optimizing Resource Allocation with Docplex and Planning Analytics || Marketing Opt PT.4

Nicholas Renotte Intermediate 5y ago

ML Fundamentals

Build your own Deep learning Machine - What you need to know

The AI Hacker Intermediate 5y ago

ML Fundamentals

Python Regular Expressions, Views vs Copies in Pandas, and More | Real Python Podcast #15

Real Python Beginner 5y ago

ML Fundamentals

Announcing the PyTorch Global Summer Hackathon 2020

PyTorch Intermediate 5y ago

ML Fundamentals

Slopes of Machine Learning - Computerphile

Computerphile Intermediate 5y ago

ML Fundamentals

Advanced Facebook Ad Account Structure For eCommerce

The Social Savannah Beginner 5y ago

ML Fundamentals

1. Artificial Intelligence and Machine Learning

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

Invariance, Geometry and Deep Neural Networks with Pavan Turaga - #386

The TWIML AI Podcast with Sam Charrington Beginner 5y ago

ML Fundamentals

Discovering Symbolic Models from Deep Learning with Inductive Biases (Paper Explained)

Yannic Kilcher Beginner 5y ago

ML Fundamentals

Pytorch Tutorial - Setting up a Deep Learning Environment (Anaconda & PyCharm)

Aladdin Persson Beginner 5y ago

ML Fundamentals

Oxford Saïd and the Education & Training Foundation's portfolio of leadership programmes

Saïd Business School, University of Oxford Advanced 5y ago

ML Fundamentals

Tips N Tricks # 8: Using automatic mixed precision training with PyTorch 1.6

Abhishek Thakur Beginner 5y ago

ML Fundamentals

Women at DeepMind | Applying for Technical Roles

Google DeepMind Advanced 5y ago

ML Fundamentals

MLOps Meetup #18 // Nubank - Running a Fintech on ML // Caique Lima and Cristiano Breuel

MLOps.community Beginner 5y ago

ML Fundamentals

DeepMind x UCL | Deep Learning Lectures | 10/12 | Unsupervised Representation Learning

Google DeepMind Advanced 5y ago

ML Fundamentals

Suppor Vector Machine (SVM) in Python | Data Science with Marco

Data Science with Marco Beginner 5y ago

ML Fundamentals

Artificial Intelligence (AI) vs Machine Learning vs Deep Learning vs Data Science

codebasics Beginner 5y ago

ML Fundamentals

MLOps Meetup #19 // DataOps and Data Versioning in ML // Dmitry Petrov

MLOps.community Beginner 5y ago

ML Fundamentals

YouTube Growth Tips, Content Creation - Bhavesh Bhatt, YouTuber (Data Science & Machine Learning) #7

1littlecoder Beginner 5y ago

ML Fundamentals

Data Science Portfolio Tips | Discussion with Ken Jee, Krish Naik, Codebasics and Data Professor

Data Professor Beginner 5y ago

ML Fundamentals

Inside the Lab Where Robots Run Their Own Experiments

Seeker Intermediate 5y ago

ML Fundamentals

Live Discussion - How To Read Text From Images Using Pytesseract

Krish Naik Intermediate 5y ago

ML Fundamentals

Encoder And Decoder- Neural Machine Learning Language Translation Tutorial With Keras- Deep Learning

Krish Naik Beginner 5y ago

ML Fundamentals

How To Prepare For Applying Freelancing Jobs For Data Science

Krish Naik Intermediate 5y ago

ML Fundamentals

2. Cyber Network Data Processing; AI Data Architecture

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

Impact Of Artificial Intelligence On Employment- Data Science

Krish Naik Intermediate 5y ago

ML Fundamentals

Cleaning Time Series Data : Time Series Talk

ritvikmath Intermediate 5y ago

ML Fundamentals

Create an Artificial Neural Network with TensorFlow's Keras API

deeplizard Intermediate 5y ago

ML Fundamentals

Pytorch Transformers for Machine Translation

Aladdin Persson Beginner 5y ago

ML Fundamentals

Deployment Of Machine Learning PIPELINES Using Dockers and Kubernetes

Krish Naik Beginner 5y ago

ML Fundamentals

Biggest Hurdles In AI Adoption Faced By Executives And Companies| Data Science

Krish Naik Intermediate 5y ago

ML Fundamentals

Matrix Norms : Data Science Basics

ritvikmath Beginner 5y ago

ML Fundamentals

Keras with TensorFlow Prerequisites - Getting Started With Neural Networks

deeplizard Beginner 5y ago

ML Fundamentals

Codebasics Live Q&A : 21 June, 2020

codebasics Beginner 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Matrix Calculus for Data Science & Machine Learning

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Maximizing the Generative AI Value

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Building Recommender Systems with Machine Learning and AI

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Machine Learning Models in Science

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Modeling Data in the Tidyverse

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No-Code AI Foundations for Business Professionals

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Computer Vision Basics

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Medical Image Processing

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Pre-Calculus

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Convolutional Neural Networks

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AI for Design and Optimization

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Machine Learning Projects in R with Caret

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Data Modeling, Transformation, and Serving

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Satellite Remote Sensing Data Bootcamp With Opensource Tools

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Machine Learning in the Enterprise - Français

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Machine Learning Operations (MLOps): Getting Started - Español

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Working with Notebooks in Vertex AI

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AI Workflow: AI in Production

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