📐 ML Fundamentals

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

ML Fundamentals

Perform Easy EDA And Generate Python Using Mito

Krish Naik Beginner 4y ago

ML Fundamentals

Machine Learning Model Deployment with Python (Streamlit + MLflow) | Part 2/2

DeepFindr Beginner 4y ago

ML Fundamentals

What is Hypothesis Testing ? Math, Statistics for data science, machine learning

codebasics Beginner 4y ago

ML Fundamentals

Chai Time Kaggle Talks with Andrada Olteanu - EDA Grandmastery

Weights & Biases Beginner 4y ago

ML Fundamentals

TensorFlow.js Community "Show & Tell" #6

TensorFlow Beginner 4y ago

ML Fundamentals

Build a Deep Facial Recognition App // Part 5 - Training a Siamese Neural Network // #Python

Nicholas Renotte Beginner 4y ago

ML Fundamentals

Detecting model misbehavior with W&B

Weights & Biases Beginner 4y ago

ML Fundamentals

Drop the first category from binary features (only) with OneHotEncoder

Data School Beginner 4y ago

ML Fundamentals

Managing Outcomes Generated by Data Scientists // Stefan Krawczyk // Coffee Sessions #49 short clip

MLOps.community Beginner 4y ago

ML Fundamentals

Importance of Platform // Julien Chaumond // Coffee Sessions #48 short clip

MLOps.community Beginner 4y ago

ML Fundamentals

Machine Learning Model Deployment with Python (Streamlit + MLflow) | Part 1/2

DeepFindr Beginner 4y ago

ML Fundamentals

Deep learning project end to end | Potato Disease Classification - 8 : Mobile App in React Native

codebasics Beginner 4y ago

ML Fundamentals

Jeffrey Shainline: Neuromorphic Computing and Optoelectronic Intelligence | Lex Fridman Podcast #225

Lex Fridman Beginner 4y ago

ML Fundamentals

Talks S2E7 (Konrad Banachewicz): Time Series Analysis - Vintage Toolkit For Modern Times

Abhishek Thakur Beginner 4y ago

ML Fundamentals

Time Series Forecasting Made Easy Using Dart Library - Perform Multivariate Forecasting In No Time

Krish Naik Beginner 4y ago

ML Fundamentals

Estimators only print parameters that have been changed

Data School Beginner 4y ago

ML Fundamentals

Gies College of Business Webinar: From MOOCs to Master's

Coursera Beginner 4y ago

ML Fundamentals

Build a Deep Facial Recognition App // Part 4 - Building a Siamese Neural Network // #Python

Nicholas Renotte Beginner 4y ago

ML Fundamentals

#71 Scaling Machine Learning Adoption: A Pragmatic Approach (with Noah Gift)

DataCamp Beginner 4y ago

ML Fundamentals

Jay McClelland: Neural Networks and the Emergence of Cognition | Lex Fridman Podcast #222

Lex Fridman Beginner 4y ago

ML Fundamentals

Introduction to Generative Adversarial Networks (Tutorial Recording at ISSDL 2021)

Sebastian Raschka Beginner 4y ago

ML Fundamentals

Talks S2E6 (Louise Ferbach): Deep Learning For Survival Analysis

Abhishek Thakur Beginner 4y ago

ML Fundamentals

A Truly Unbiased Model

Microsoft Research Beginner 4y ago

ML Fundamentals

PyTorch Community Voices | PyTorch-Ignite | Victor Fomin

PyTorch Beginner 4y ago

ML Fundamentals

Learning Commonsense Understanding through Language and Vision

Microsoft Research Beginner 4y ago

ML Fundamentals

Change of Basis : Data Science Basics

ritvikmath Beginner 4y ago

ML Fundamentals

Hugging Face + Zapier Demo Video

HuggingFace Beginner 4y ago

ML Fundamentals

[Webinar] How to add machine learning capabilities with just a few lines of code

HuggingFace Beginner 4y ago

ML Fundamentals

How to build machine learning models for imbalanced datasets

Data Professor Beginner 4y ago

ML Fundamentals

Create Slow Motion Videos With AI - 2021 Results Highlights #shorts

What's AI by Louis-François Bouchard Beginner 4y ago

ML Fundamentals

Los ROBOTS de BOSTON DYNAMICS no FUNCIONAN como TÚ CREES...

Dot CSV Beginner 4y ago

ML Fundamentals

Calculus for ML - How much you should know to get started

Harshit Tyagi Beginner 4y ago

ML Fundamentals

Machine Learning Explained in 100 Seconds

Fireship Beginner 4y ago

ML Fundamentals

Engineering Best Practices for Machine Learning // Alex Serban // MLOps Meetup #79

MLOps.community Beginner 4y ago

ML Fundamentals

Chris Albon — ML Models and Infrastructure at Wikimedia

Weights & Biases Beginner 4y ago

ML Fundamentals

W&B Fastbook Reading Group — 15. Application Architectures Deep Dive

Weights & Biases Beginner 4y ago

ML Fundamentals

Load a toy dataset into a DataFrame

Data School Beginner 4y ago

ML Fundamentals

PyTorch Book Reading - 4. Train your first CNN using Torch

Weights & Biases Beginner 4y ago

ML Fundamentals

Career Gap and Now a Machine Learning Engineer At Sony

codebasics Beginner 4y ago

ML Fundamentals

Machine Learning Projects You NEVER Knew Existed

Nicholas Renotte Beginner 4y ago

ML Fundamentals

Douglas Lenat: Cyc and the Quest to Solve Common Sense Reasoning in AI | Lex Fridman Podcast #221

Lex Fridman Beginner 4y ago

ML Fundamentals

Create an interactive diagram of a Pipeline in Jupyter

Data School Beginner 4y ago

ML Fundamentals

Moldable Development with Glamorous Toolkit // Tudor Gîrba // MLOps Meetup #77

MLOps.community Beginner 4y ago

ML Fundamentals

PyTorch Book Reading - 3. Train your first neural network

Weights & Biases Beginner 4y ago

ML Fundamentals

Deep learning project end to end | Potato Disease Classification - 7 : Model Deployment To GCP

codebasics Beginner 4y ago

ML Fundamentals

Deep learning project end to end | Potato Disease Classification - 6 : ImageDataGenerator API

codebasics Beginner 4y ago

ML Fundamentals

Part 4- Developing UI To Select User image and displaying it in an Android app

Krish Naik Beginner 4y ago

ML Fundamentals

W&B Fastbook Reading Group — 14. ResNet

Weights & Biases Beginner 4y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

NLP in Engineering: Concepts & Real-World Applications

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R Programming: Data Analysis and Modeling

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Self-paced

Çok değişkenli Fonksiyon II: Uygulamalar / Multivariable Calculus II: Applications

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📚 Coursera Course ↗

Self-paced

Production Machine Learning Systems

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📚 Coursera Course ↗

Self-paced

Prepare for DP-100: Data Science on Microsoft Azure Exam

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📚 Coursera Course ↗

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Foundations of Data Science and Machine Learning with Python

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📚 Coursera Course ↗

Self-paced

Predict Baby Weight with TensorFlow on AI Platform

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📚 Coursera Course ↗

Self-paced

Probabilistic Deep Learning with TensorFlow 2

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📚 Coursera Course ↗

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Machine Learning Algorithms

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📚 Coursera Course ↗

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Statistics You Need to Know for Machine Learning

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📚 Coursera Course ↗

Self-paced

Foundations and Core Concepts of PyTorch

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📚 Coursera Course ↗

Self-paced

Cloud Virtualization, Containers and APIs

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📚 Coursera Course ↗

Self-paced

Teaching Impacts of Technology: Data Collection, Use, and Privacy

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📚 Coursera Course ↗

Self-paced

Detecting COVID-19 with Chest X-Ray using PyTorch

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📚 Coursera Course ↗

Self-paced

Build Decision Trees, SVMs, and Artificial Neural Networks

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📚 Coursera Course ↗

Self-paced

Introduction to Generative AI - Bahasa Indonesia

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📚 Coursera Course ↗

Self-paced

Machine Learning with Python

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📚 Coursera Course ↗

Self-paced

Build Better Generative Adversarial Networks (GANs)

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