📐 ML Fundamentals

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

ML Fundamentals

Ishan Misra: Self-Supervised Deep Learning in Computer Vision | Lex Fridman Podcast #206

Lex Fridman Beginner 4y ago

ML Fundamentals

12 days Plan To Learn Python For Data Analyst And Data Science

Krish Naik Beginner 4y ago

ML Fundamentals

How Kaggle Helped Him Become ML Engineer With Mechanical Engineer Degree

codebasics Beginner 4y ago

ML Fundamentals

20. Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees

MIT OpenCourseWare Beginner 4y ago

ML Fundamentals

What if Data Science was a Building Block? (Dolphyn)

Data Professor Beginner 4y ago

ML Fundamentals

Reinforcement Learning Course: Intro to Advanced Actor Critic Methods

freeCodeCamp.org Beginner 4y ago

ML Fundamentals

Many Reasons Why I Like VS Code IDE- Data Science

Krish Naik Intermediate 4y ago

ML Fundamentals

Reducing Downtime of Your Industrial Assets Using IoT and Machine Learning - AWS Virtual Workshop

AWS Developers Intermediate 4y ago

ML Fundamentals

Working With DataFrames In Pandas

Real Python Beginner 4y ago

ML Fundamentals

W&B Fastbook Reading Group — 8. Regression (+ Kaggle's Cassava classification competition)

Weights & Biases Beginner 4y ago

ML Fundamentals

Federated learning: Basics and application to the mobile keyboard (ML Tech Talks)

TensorFlow Beginner 4y ago

ML Fundamentals

Xavier Amatriain — Building AI-powered Primary Care

Weights & Biases Beginner 4y ago

ML Fundamentals

Visualize a decision tree two different ways

Data School Beginner 4y ago

ML Fundamentals

PyTorch Community Voices | PyTorch Lightning | William Falcon & Thomas Chaton

PyTorch Intermediate 4y ago

ML Fundamentals

Modern Manufacturing Approaches to Improve Product Quality - AWS Virtual Workshop

AWS Developers Intermediate 4y ago

ML Fundamentals

Capture - Recapture : Data Science Concepts

ritvikmath Intermediate 4y ago

ML Fundamentals

Display the intercept and coefficients for a linear model

Data School Beginner 4y ago

ML Fundamentals

Tour of Upcoming Features on the Hugging Face Model Hub// Julien Chaumond //MLOps Coffee Sessions#48

MLOps.community Beginner 4y ago

ML Fundamentals

Opportunities for Skillful Weather Prediction

Data Skeptic Beginner 4y ago

ML Fundamentals

#67 Operationalizing Machine Learning with MLOps (with Alessya Visnjic)

DataCamp Beginner 4y ago

ML Fundamentals

Shadow IT/Shadow MLOps/Shadow DevOps // Korri Jones // Meetup #68 short clip

MLOps.community Beginner 4y ago

ML Fundamentals

Intuitive Intro To Generative Adversarial Networks - GAN Course Preview

deeplizard Beginner 4y ago

ML Fundamentals

Text Classification Using BERT & Tensorflow | Deep Learning Tutorial 47 (Tensorflow, Keras & Python)

codebasics Beginner 4y ago

ML Fundamentals

TPM (Trusted Platform Module) - Computerphile

Computerphile Beginner 4y ago

ML Fundamentals

Build a Deep Learning Selfie Segmentation Web App using Gradio

Nicholas Renotte Beginner 4y ago

ML Fundamentals

How do you figure out the *ideal* sample size ... as a data scientist?

ritvikmath Intermediate 4y ago

ML Fundamentals

Building a ranking model with TF Recommenders (Building recommendation systems with TensorFlow)

TensorFlow Intermediate 4y ago

ML Fundamentals

Introduction to NVIDIA TensorRT for High Performance Deep Learning Inference

NVIDIA Developer Beginner 4y ago

ML Fundamentals

Boosted Trees & Deep Neural Networks for Better Recommender Systems | Grandmaster Series E6

NVIDIA Developer Beginner 4y ago

ML Fundamentals

ISID Heightens Value Buried in Text Using Azure Machine Learning and PyTorch

PyTorch Beginner 4y ago

ML Fundamentals

Data Structures And Algorithms Playlist For You All- Ft- iNeuron

Krish Naik Intermediate 4y ago

ML Fundamentals

Is Data Privacy A Major Issue? Sharing A Recent Incident

Krish Naik Intermediate 4y ago

ML Fundamentals

Why healthcare AI won’t replace human doctors with Curai's Xavier Amatriain

Weights & Biases Beginner 4y ago

ML Fundamentals

Amazon SageMaker for Media and Entertainment Use Cases - AWS Online Tech Talks

AWS Developers Intermediate 4y ago

ML Fundamentals

Save up to 71% on Your Machine Learning Inference Costs Using Amazon EC2 Inf1 - AWS Online Tech Talk

AWS Developers Intermediate 4y ago

ML Fundamentals

Machine Learning for Cyber Security

AWS Developers Intermediate 4y ago

ML Fundamentals

Transform Your Bug Bashes into an AWS BugBust - AWS Online Tech Talks

AWS Developers Intermediate 4y ago

ML Fundamentals

W&B Study Group: fastai w/ Hugging Face 3/4

Weights & Biases Beginner 4y ago

ML Fundamentals

Funny Behind The Scenes And Mistakes | Data Science Videos😂😂😂😂

Krish Naik Intermediate 4y ago

ML Fundamentals

How Much Maths Do You Need To Know To Become A Data Scientist

Krish Naik Intermediate 4y ago

ML Fundamentals

W&B Fastbook Reading Group — 7. Pet Breeds & Multi-label Classification

Weights & Biases Beginner 4y ago

ML Fundamentals

Use the correct methods for each type of Pipeline

Data School Beginner 4y ago

ML Fundamentals

Skills Required For A Data Analyst In 2021- How To Learn By Self Study And For Free in 3 Months

Krish Naik Beginner 4y ago

ML Fundamentals

My New Laptop Acer Predator Helios 300 Unboxing With Nvidia RTX 3060 For Deep Learning And Gaming

Krish Naik Beginner 4y ago

ML Fundamentals

Why OpenAI disbanded their robotics team

Weights & Biases Beginner 4y ago

ML Fundamentals

Compare multiple ROC curves in a single plot

Data School Beginner 4y ago

ML Fundamentals

Scalable Machine Learning with AWS Batch - AWS Online Tech Talks

AWS Developers Intermediate 4y ago

ML Fundamentals

Model serving platform // Kyle Gallatin // Coffee #43 short clip

MLOps.community Advanced 4y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Deep Learning Essentials

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AWS Artificial Intelligence Practitioner

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Self-paced

Python: Implement & Evaluate Random Forests for ML

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📚 Coursera Course ↗

Self-paced

Applied Social Network Analysis in Python

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📚 Coursera Course ↗

Self-paced

Developing Explainable AI (XAI)

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Self-paced

Introduction to AI

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Device-based Models with TensorFlow Lite

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Linear Regression with Python

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Statistics and Calculus Methods for Data Analysis

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Quantum Computing with Qiskit and Advanced Algorithms

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📚 Coursera Course ↗

Self-paced

Python Basics: Create a Guessing Number Game from Scratch

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Self-paced

Computer Vision in Microsoft Azure

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📚 Coursera Course ↗

Self-paced

What is Product Lifecycle Management?

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📚 Coursera Course ↗

Self-paced

AI & Deep Learning Concepts and Applications

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Physics of Oscillators and Waves

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📚 Coursera Course ↗

Self-paced

Introduction to Artificial Intelligence

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Self-paced

Managing Machine Learning Models

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Self-paced

Transfer Learning for NLP with TensorFlow Hub

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