📐 ML Fundamentals

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

ML Fundamentals

Build a Python Facial Recognition App with Tensorflow and Kivy

Nicholas Renotte Intermediate 4y ago

ML Fundamentals

PyTorch Book Reading - 9. Creating an End to End tumor classifier & Deploying to Production.

Weights & Biases Beginner 4y ago

ML Fundamentals

Should You Still Learn ML In 2022?

Patrick Loeber Beginner 4y ago

ML Fundamentals

Learn From These Experienced Data Scientist Resumes

Krish Naik Beginner 4y ago

ML Fundamentals

Better Salary Or Better Work? Which One Would You Prefer AS Fresher Or Experienced?

Krish Naik Intermediate 4y ago

ML Fundamentals

Deep learning in 5 minutes | What is deep learning?

AssemblyAI Beginner 4y ago

ML Fundamentals

Scope , Salary, Status of a Data Scientists

Entri Coding മലയാളം Beginner 4y ago

ML Fundamentals

Machine Learning Tutorial Python - 21: Ensemble Learning - Bagging

codebasics Beginner 4y ago

ML Fundamentals

End to End MLOps Basics // Raviraja Ganta // MLOps Meetup #82

MLOps.community Beginner 4y ago

ML Fundamentals

Build and Deploy a Machine Learning App in 2 Minutes

HuggingFace Beginner 4y ago

ML Fundamentals

Pete Warden — Practical Applications of TinyML

Weights & Biases Intermediate 4y ago

ML Fundamentals

Access part of a Pipeline using slicing

Data School Beginner 4y ago

ML Fundamentals

Classifying satellite imagery - Made with TensorFlow.js

TensorFlow Beginner 4y ago

ML Fundamentals

This is how to take your ML models from great to GOAT

ritvikmath Intermediate 4y ago

ML Fundamentals

Women in Machine Learning Symposium 2021 livestream

TensorFlow Beginner 4y ago

ML Fundamentals

Tune the parameters of a VotingClassifer or VotingRegressor

Data School Beginner 4y ago

ML Fundamentals

Machine Learning Tutorial Python - 20: Bias vs Variance In Machine Learning

codebasics Beginner 4y ago

ML Fundamentals

Build 4 Python Automation Projects With Machine Learning

Patrick Loeber Beginner 4y ago

ML Fundamentals

How You Should Split Your Datasets in Machine Learning

NeuralNine Beginner 4y ago

ML Fundamentals

The Road to COP26: What you need to know and how you can be part of this moment that matters

Saïd Business School, University of Oxford Intermediate 4y ago

ML Fundamentals

Reimagining Digital Customer Engagement - AWS Online Tech Talks

AWS Developers Intermediate 4y ago

ML Fundamentals

Deploy Highly Personalized Shopping Experiences in Time for Black Friday - AWS Online Tech Talks

AWS Developers Intermediate 4y ago

ML Fundamentals

Learning to Ponder: Memory in Deep Neural Networks - #528

The TWIML AI Podcast with Sam Charrington Beginner 4y ago

ML Fundamentals

Feast Feature Store Deep Dive // Felix Wang // MLOps Meetup #81

MLOps.community Beginner 4y ago

ML Fundamentals

What you should do during a Data Science Internship

CodeEmporium Beginner 4y ago

ML Fundamentals

#73 Scaling AI Adoption in Financial Services (with Shameek Kundu)

DataCamp Beginner 4y ago

ML Fundamentals

How to code neural networks without math*

Daniel Bourke Beginner 4y ago

ML Fundamentals

A Robot That Walks, Flies, Skateboards, Slacklines

Veritasium Beginner 4y ago

ML Fundamentals

Build a Deep Facial Recognition App // Part 7 - Real Time Predictions with OpenCV // #Python

Nicholas Renotte Beginner 4y ago

ML Fundamentals

Saving the Universe (Simulation) - Computerphile

Computerphile Intermediate 4y ago

ML Fundamentals

Paul Polman in conversation with Peter Tufano

Saïd Business School, University of Oxford Intermediate 4y ago

ML Fundamentals

Accelerating AI Innovation by Optimizing Infrastructure. With Dr. Muthian Sivathanu

Microsoft Research Beginner 4y ago

ML Fundamentals

Solving Kaggle with PyCaret AutoML - Automated Machine Learning Tutorial

1littlecoder Beginner 4y ago

ML Fundamentals

This is why you should care about unbalanced data .. as a data scientist

ritvikmath Intermediate 4y ago

ML Fundamentals

Can we simulate a real robot?

sentdex Advanced 4y ago

ML Fundamentals

Few Important Pointers For Preparing Fresher Data Science Resumes

Krish Naik Intermediate 4y ago

ML Fundamentals

iNeuron Projectathon 2021- Win Amazing Cash Rewards💰💰💰💰

Krish Naik Intermediate 4y ago

ML Fundamentals

What Can You Learn From Internships?🤩🤩🤩🤩

Krish Naik Beginner 4y ago

ML Fundamentals

What We Can Learn From These Resumes For Data Science?

Krish Naik Beginner 4y ago

ML Fundamentals

How to Install Ubuntu in Windows 10 with WSL2-Windows Subsystem for Linux

Krish Naik Intermediate 4y ago

ML Fundamentals

Complete Implementation Of Perceptron In Deep Learning Using Python From Scratch

Krish Naik Beginner 4y ago

ML Fundamentals

Implementation Of Perceptron In Deep Learning Using Python From Scratch- Part 1- Ft: Sunny

Krish Naik Beginner 4y ago

ML Fundamentals

PyTorch Book Reading - 8. U-net, Image Segmentation and Image Augmentations in PyTorch

Weights & Biases Beginner 4y ago

ML Fundamentals

Complete Feature Engineering And EDA In Data Science in 31 Videos

Krish Naik Intermediate 4y ago

ML Fundamentals

Ensemble multiple models using VotingClassifer or VotingRegressor

Data School Beginner 4y ago

ML Fundamentals

Meet iNeuron Team

Krish Naik Intermediate 4y ago

ML Fundamentals

Build a Deep Facial Recognition App // Part 6 - Making Facial Recognition Predictions // #Python

Nicholas Renotte Beginner 4y ago

ML Fundamentals

Announcing Google's Machine Learning Virtual Community Day

TensorFlow Intermediate 4y ago

📚 Coursera Courses Opens on Coursera · Free to audit

← 1 / 3 → View all →

📚 Coursera Course ↗

Self-paced

Python Essentials for MLOps

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Computer Vision in Microsoft Azure

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning Using SAS Viya

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Data Science Challenge

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Classification and Planned Experiments

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Statistical Learning for Engineering Part 1

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Innovating with Google Cloud Artificial Intelligence - Português Brasileiro

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

KALKÜLÜS II: TEMEL KAVRAMLAR / CALCULUS II: BASIC CONCEPTS

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

AWS AutoGluon for Machine Learning Classification

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Smart Analytics, Machine Learning, and AI on GCP - Italiano

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Probabilistic Graphical Models 1: Representation

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Data Visualization and Modeling in Python

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Physics 102 - Electric Potential and DC Circuits

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

AWS Certified AI Practitioner (AIF-C01)

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Explainable deep learning models for healthcare - CDSS 3

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Four Rare Machine Learning Skills All Data Scientists Need

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

AI For Everyone

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español

Opens on Coursera ↗