📐 ML Fundamentals

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

ML Fundamentals

2020 Machine Learning Roadmap (87% valid for 2024)

Daniel Bourke Beginner 5y ago

ML Fundamentals

Live Unboxing MSI Laptop For Machine Learning And Deep Learning

Krish Naik Beginner 5y ago

ML Fundamentals

Pytorch Tutorial 1-Pytorch Installation For Deep Learning

Krish Naik Beginner 5y ago

ML Fundamentals

Why deep learning is becoming so popular? | Deep Learning Tutorial 2 (Tensorflow2.0, Keras & Python)

codebasics Beginner 5y ago

ML Fundamentals

Introduction | Deep Learning Tutorial 1 (Tensorflow Tutorial, Keras & Python)

codebasics Beginner 5y ago

ML Fundamentals

MONAI – An Open Source Framework for AI Development in Medical Imaging

PyTorch Beginner 5y ago

ML Fundamentals

MLOps Meetup #24 // How to Become a Better Data Scientist: The Definite Guide // Alexey Grigorev

MLOps.community Beginner 5y ago

ML Fundamentals

Linear Programming, PySimpleGUI, and More | Real Python Podcast #17

Real Python Beginner 5y ago

ML Fundamentals

Simple Fast 3-step Python OCR using Deep Learning 40+ Languages

1littlecoder Beginner 5y ago

ML Fundamentals

How to train a deep learning model using docker?

Abhishek Thakur Intermediate 5y ago

ML Fundamentals

How DNS Works - Computerphile

Computerphile Intermediate 5y ago

ML Fundamentals

DeepMind x UCL | Deep Learning Lectures | 12/12 | Responsible Innovation

Google DeepMind Advanced 5y ago

ML Fundamentals

DeepMind x UCL | Deep Learning Lectures | 11/12 | Modern Latent Variable Models

Google DeepMind Advanced 5y ago

ML Fundamentals

The reshaping of the mergers and acquisitions market

Saïd Business School, University of Oxford Intermediate 5y ago

ML Fundamentals

Create a Confusion Matrix for Neural Network Predictions

deeplizard Intermediate 5y ago

ML Fundamentals

3D Deep Learning with PyTorch3D by Nikhila Ravi

PyTorch Beginner 5y ago

ML Fundamentals

Inside TensorFlow: New TF Lite Converter

TensorFlow Beginner 5y ago

ML Fundamentals

Monitoring the Machine Learning Stack // Lina Weichbrodt // MLOps Meetup #23

MLOps.community Intermediate 5y ago

ML Fundamentals

Linear Regression From Scratch - Part 3

Imaad Mohamed Khan Beginner 5y ago

ML Fundamentals

Optimize Your ML Models - Avoid Underfitting and Overfitting

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

ML Fundamentals

Dockerizing the skin cancer detection web application

Abhishek Thakur Intermediate 5y ago

ML Fundamentals

Neural Network Predictions with TensorFlow's Keras API

deeplizard Intermediate 5y ago

ML Fundamentals

Python Machine Learning with Scikit Learn - Regression || Python Machine Learning PT.3

Nicholas Renotte Beginner 5y ago

ML Fundamentals

Singular Values vs. Eigenvalues : Data Science Basics

ritvikmath Beginner 5y ago

ML Fundamentals

[Live Machine Learning Research] Plain Self-Ensembles (I actually DISCOVER SOMETHING) - Part 1

Yannic Kilcher Beginner 5y ago

ML Fundamentals

One Neural Network to Rule Them All (and more) | Machine Learning Monthly June 2020

Daniel Bourke Beginner 5y ago

ML Fundamentals

Preparing Pandas Dataframes for Machine Learning || Python Machine Learning PT.2

Nicholas Renotte Intermediate 5y ago

ML Fundamentals

Simple Python GUI Development using {guietta}

1littlecoder Beginner 5y ago

ML Fundamentals

Linear Regression From Scratch - Part 2

Imaad Mohamed Khan Beginner 5y ago

ML Fundamentals

Data Science Interview (Tips and Tricks) [Ft. Data Science Jay]

Data Professor Beginner 5y ago

ML Fundamentals

Alligator Pears, Random Variables, and Gradient Descent

Weights & Biases Advanced 5y ago

ML Fundamentals

Deep Learning Salon by Weights & Biases

Weights & Biases Beginner 5y ago

ML Fundamentals

Pytorch Neural Style Transfer Tutorial

Aladdin Persson Beginner 5y ago

ML Fundamentals

Putting governance at the centre of Africa's development

Saïd Business School, University of Oxford Intermediate 5y ago

ML Fundamentals

Live- Implementation Of Malaria Disease Using Deep Learning End To End Projects With Deployment

Krish Naik Intermediate 5y ago

ML Fundamentals

Live Summary- Memory Profiler In Python- How To Effectively Check Your Code Quality With Memory

Krish Naik Intermediate 5y ago

ML Fundamentals

Live- Implementation Of 7 HealthCare End To End Projects With Deployment

Krish Naik Intermediate 5y ago

ML Fundamentals

Summary Recap Of Live Implementation Of Movie Recommendation With Deployment Using Heroku

Krish Naik Intermediate 5y ago

ML Fundamentals

Summary Of Live- Implementation Of Flight Fare Prediction Web App Project With Deployment

Krish Naik Intermediate 5y ago

ML Fundamentals

PyTorch Pruning | How it's Made by Michela Paganini

PyTorch Beginner 5y ago

ML Fundamentals

What is Torchtext?

PyTorch Beginner 5y ago

ML Fundamentals

MLOps Meetup #21 // Deep Dive on Paperspace Tooling // Misha Kutsovsky

MLOps.community Advanced 5y ago

ML Fundamentals

Live- Implementation Of Flight Fare Prediction Web App Project With Deployment

Krish Naik Intermediate 5y ago

ML Fundamentals

MLOps Coffee Sessions #2: Different Ways of Serving ML Models with Byron Allen

MLOps.community Beginner 5y ago

ML Fundamentals

Talks # 6: Mani Sarkar: From backend development to machine learning

Abhishek Thakur Beginner 5y ago

ML Fundamentals

Live Project-Stock Sentiment Analysis using News Headlines Machine Learning

Krish Naik Beginner 5y ago

ML Fundamentals

Exploratory Data Analysis With Pandas || Python Machine Learning PT.1

Nicholas Renotte Beginner 5y ago

ML Fundamentals

Live Session-Implementing Deep Learning Project From Scratch To Deployment- Heroku(Car Brand Class)

Krish Naik Intermediate 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Diabetes Prediction With Pyspark MLLIB

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Introduction to Applied Machine Learning

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Detecting COVID-19 with Chest X-Ray using PyTorch

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📚 Coursera Course ↗

Self-paced

Physics 101 - Energy and Momentum

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📚 Coursera Course ↗

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Innovating with Google Cloud Artificial Intelligence - Français

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Scikit-Learn For Machine Learning Classification Problems

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Databricks Associate Developer: Apache Spark with Python

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CNNs with TensorFlow: Basics of Machine Learning

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Machine Learning for Healthcare Professionals

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Sequences, Time Series and Prediction

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Algebra and Differential Calculus for Data Science

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Data Visualization and Modeling in Python

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Digital Signal Processing 3: Analog vs Digital

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Introduction to AI and Machine Learning on Google Cloud

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📚 Coursera Course ↗

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Essential Linear Algebra for Data Science

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📚 Coursera Course ↗

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Introduction to RNN and DNN

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ML Parameters Optimization: GridSearch, Bayesian, Random

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Identify Damaged Car Parts with Vertex AutoML Vision

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