📐 ML Fundamentals

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

ML Fundamentals

Uses of Information Theory - Computerphile

Computerphile Intermediate 3y ago

ML Fundamentals

Oxford Private Equity Programme

Saïd Business School, University of Oxford Intermediate 3y ago

ML Fundamentals

Multi-Objective Optimisation

Analytics Vidhya Intermediate 3y ago

ML Fundamentals

Metaflow on Azure

Outerbounds Intermediate 3y ago

ML Fundamentals

Deploy an ML model for best performance, cost, and prediction quality - AWS Online Tech Talks

AWS Developers Intermediate 3y ago

ML Fundamentals

Beyond Jupyter Notebooks: MLOps Environment Setup & First Deployment

DeepLearningAI Intermediate 3y ago

ML Fundamentals

Improve uptime with predictive maintenance for industrial equipment - AWS Online Tech Talks

AWS Developers Intermediate 3y ago

ML Fundamentals

Classification Machine Learning Model from Scratch

Analytics Vidhya Intermediate 3y ago

ML Fundamentals

Live Q&A-Ask Anything Related To Data Science

Krish Naik Intermediate 3y ago

ML Fundamentals

#104 How the Data Community Can Accelerate Your Data Career (with Kate Strachnyi)

DataCamp Intermediate 3y ago

ML Fundamentals

Model Driven Software Engineering - Computerphile

Computerphile Intermediate 3y ago

ML Fundamentals

How to implement K-Means from scratch with Python

AssemblyAI Intermediate 3y ago

ML Fundamentals

A Prediction Model for Malaria using an Ensemble of Machine Learning & Hydrological Drought Indices

Microsoft Research Intermediate 3y ago

ML Fundamentals

How to implement SVM (Support Vector Machine) from scratch with Python

AssemblyAI Intermediate 3y ago

ML Fundamentals

Fireside Chat #5: Machine Learning + Infrastructure for Humans

Outerbounds Intermediate 3y ago

ML Fundamentals

Project Alexandria: Using AI to build a knowledge base fit for humans

Microsoft Research Intermediate 3y ago

ML Fundamentals

Elephant Toothpaste Reaction

MIT OpenCourseWare Intermediate 3y ago

ML Fundamentals

ML Product Experiments at Scale

The TWIML AI Podcast with Sam Charrington Intermediate 3y ago

ML Fundamentals

End-to-End ML with Cloudera Machine Learning

The TWIML AI Podcast with Sam Charrington Intermediate 3y ago

ML Fundamentals

End To End Machine Learning Project Implementation With Dockers,Github Actions And Deployment

Krish Naik Intermediate 3y ago

ML Fundamentals

Serverless Streamlit + OpenCV Python Web App Tutorial

1littlecoder Intermediate 3y ago

ML Fundamentals

Super resolution with UpscalerJS - Made with TensorFlow.js

TensorFlow Intermediate 3y ago

ML Fundamentals

How to grow as a data scientist after 2+ years of experience? #datascience #datasciencecareer

Data Science with Marco Intermediate 3y ago

ML Fundamentals

Don't waste time on this | #datascience #datasciencecareer

Data Science with Marco Intermediate 3y ago

ML Fundamentals

10A. Networks 2: Molecular Computing, Self-assembly, Genetic Algorithms, Neural Networks

MIT OpenCourseWare Intermediate 3y ago

ML Fundamentals

Stable diffusion dreams of steampunk brains

Andrej Karpathy Intermediate 3y ago

ML Fundamentals

Stable diffusion dreams of steam punk neural networks

Andrej Karpathy Intermediate 3y ago

ML Fundamentals

Saving cost on your machine learning training and inference on AWS

AWS Developers Intermediate 3y ago

ML Fundamentals

How to tackle Overfitting?#machinelearning #overfitting

Analytics Vidhya Intermediate 3y ago

ML Fundamentals

How to implement Perceptron from scratch with Python

AssemblyAI Intermediate 3y ago

ML Fundamentals

How to implement PCA (Principal Component Analysis) from scratch with Python

AssemblyAI Intermediate 3y ago

ML Fundamentals

How to implement Naive Bayes from scratch with Python

AssemblyAI Intermediate 3y ago

ML Fundamentals

How to implement Random Forest from scratch with Python

AssemblyAI Intermediate 3y ago

ML Fundamentals

How to implement Decision Trees from scratch with Python

AssemblyAI Intermediate 3y ago

ML Fundamentals

How to implement Logistic Regression from scratch with Python

AssemblyAI Intermediate 3y ago

ML Fundamentals

Alternative Uses for Blockchain - Computerphile

Computerphile Intermediate 3y ago

ML Fundamentals

How to implement Linear Regression from scratch with Python

AssemblyAI Intermediate 3y ago

ML Fundamentals

How to implement KNN from scratch with Python

AssemblyAI Intermediate 3y ago

ML Fundamentals

Generate accurate ML predictions without writing code - AWS Online Tech Talks

AWS Developers Intermediate 3y ago

ML Fundamentals

Distributed Training using PyTorch with Kubeflow on AWS and AWS DLC - AWS Virtual Workshop

AWS Developers Intermediate 3y ago

ML Fundamentals

Automatically create machine learning models using Amazon SageMaker Autopilot - AWS

AWS Developers Intermediate 3y ago

ML Fundamentals

Data science certificates on resume? #datascience #datasciencecareer #careeradvice

Data Science with Marco Intermediate 3y ago

ML Fundamentals

Build ML models using SageMaker Studio Notebooks - AWS Virtual Workshop

AWS Developers Intermediate 3y ago

ML Fundamentals

Where to find data for data science projetcs? #datascience #datasciencecareer

Data Science with Marco Intermediate 3y ago

ML Fundamentals

Smart Manufacturing in the Cloud - AWS Online Tech Talks

AWS Developers Intermediate 3y ago

ML Fundamentals

Data science or data engineering - which is best for you? #datascience #datasciencecareer

Data Science with Marco Intermediate 3y ago

ML Fundamentals

Make better business decisions with ML using Amazon SageMaker Canvas, without code - AWS

AWS Developers Intermediate 3y ago

ML Fundamentals

R vs Python in the Industry - Data Science Q&A #datascience #datasciencecareer #careeradvice

Data Science with Marco Intermediate 3y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Deep Learning

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Python Basics: Create a Guessing Number Game from Scratch

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Advanced Linear Models for Data Science 1: Least Squares

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NumPy, Matplotlib & Pandas – Data Science Prerequisites

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Detecting COVID-19 with Chest X-Ray using PyTorch

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H2O Hydrogen Torch Starter Course

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Automate Data Onboarding, Validate, and Govern

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Machine Learning in Retail

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Introduction to Data Science and scikit-learn in Python

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Encoder-Decoder Architecture - Italiano

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Memory Foundations in C++

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Machine Translation

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Building and Training Neural Networks with PyTorch

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Probabilistic Graphical Models 1: Representation

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Machine Learning with PyTorch and Scikit-Learn

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Support Vector Machines in Python, From Start to Finish

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Motion Planning for Self-Driving Cars

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Scalable Machine Learning on Big Data using Apache Spark

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