📐 ML Fundamentals

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

ML Fundamentals

Powered by TensorFlow: Creating a custom, machine learning-powered drumming arm

TensorFlow Beginner 4y ago

ML Fundamentals

Sentdex Live: GTC Keynote News and free GPUs

sentdex Advanced 4y ago

ML Fundamentals

Entos Transforms Drug Discovery With NVIDIA AI-Powered Molecular Simulation

NVIDIA Developer Beginner 4y ago

ML Fundamentals

Efficient model design for in-app inferencing with Nsight DL Designer

NVIDIA Developer Intermediate 4y ago

ML Fundamentals

Math4ML Exercises: Getting Started & Linear Algebra

Weights & Biases Beginner 4y ago

ML Fundamentals

I Don't Like Jupyter Notebooks // Joel Grus // Coffee Sessions #62

MLOps.community Beginner 4y ago

ML Fundamentals

MLOps at Volvo Cars // Leonard Aukea // MLOps Meetup #84

MLOps.community Beginner 4y ago

ML Fundamentals

Is This An Efficient Way To Handle 90 Days Notice Period?

Krish Naik Beginner 4y ago

ML Fundamentals

Free datasets for machine learning and data science projects

codebasics Beginner 4y ago

ML Fundamentals

Coding a Neural Network from Scratch in Pure JAX | Machine Learning with JAX | Tutorial #3

Aleksa Gordić - The AI Epiphany Beginner 4y ago

ML Fundamentals

Create Your Custom Dataset Using Faker Library

Krish Naik Beginner 4y ago

ML Fundamentals

AutoXGB - Automated ML with xgboost + optuna + fastapi | Kaggle Demo

1littlecoder Beginner 4y ago

ML Fundamentals

Self Driving Cars using Udacity Car Simulator - Made with TensorFlow.js

TensorFlow Beginner 4y ago

ML Fundamentals

Machine Learning with JAX - From Hero to HeroPro+ | Tutorial #2

Aleksa Gordić - The AI Epiphany Beginner 4y ago

ML Fundamentals

The Seemingly Impossible Math That Helped Win World War 2

ritvikmath Intermediate 4y ago

ML Fundamentals

W&B Paper Reading Group: EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Weights & Biases Beginner 4y ago

ML Fundamentals

Data Scientist answers Most Google Questions on Machine Learning

CodeEmporium Beginner 4y ago

ML Fundamentals

FastNeRF: High-Fidelity Neural Rendering at 200FPS [Extended]

Microsoft Research Intermediate 4y ago

ML Fundamentals

Diploma in Financial Strategy Taster Lecture: Mergers, Acquisitions and Joint Ventures

Saïd Business School, University of Oxford Beginner 4y ago

ML Fundamentals

Fireside Chat with Shadab Khan - AI in Healthcare and Data Science Career Tips

Imaad Mohamed Khan Beginner 4y ago

ML Fundamentals

How To Web Scrape & Download Images With Python

Tech With Tim Beginner 4y ago

ML Fundamentals

Adapt this pattern to solve many Machine Learning problems

Data School Beginner 4y ago

ML Fundamentals

Metaflow GUI for monitoring machine learning workflows

Outerbounds Beginner 4y ago

ML Fundamentals

This is the math that can save you when you mess up.

ritvikmath Intermediate 4y ago

ML Fundamentals

Using technology to facilitate COVID-19 vaccinations in India with Bhavesh Bhatt #IamaGDE

Google for Developers Beginner 4y ago

ML Fundamentals

Tune multiple models simultaneously with GridSearchCV

Data School Beginner 4y ago

ML Fundamentals

Not enough data for deep learning? Try this with your #Python code #shorts

Nicholas Renotte Beginner 4y ago

ML Fundamentals

Interview and Q&A with Jenny Sabin, Creator of the Ada Installation in Microsoft Building 99

Microsoft Research Beginner 4y ago

ML Fundamentals

Math you need as a Data Scientist

CodeEmporium Beginner 4y ago

ML Fundamentals

Synthetic Data Generation using Omniverse Replicator for Isaac Sim

NVIDIA Developer Beginner 4y ago

ML Fundamentals

Suggest Me Some Ideas Give Aways

Krish Naik Beginner 4y ago

ML Fundamentals

Making OSS Machine Learning communities more diverse | Keynote

TensorFlow Beginner 4y ago

ML Fundamentals

I'm a developer, how can I become an ML developer? | Breakout session

TensorFlow Beginner 4y ago

ML Fundamentals

Why diversity matters in Machine Learning communities | Keynote

TensorFlow Beginner 4y ago

ML Fundamentals

How to get started in Machine Learning | Breakout session

TensorFlow Beginner 4y ago

ML Fundamentals

Get involved in Machine Learning

TensorFlow Beginner 4y ago

ML Fundamentals

From being the only woman in the room to empowering the next generation | Fireside chat

TensorFlow Beginner 4y ago

ML Fundamentals

Python – Different Ways To Import Module From Different Directory

Krish Naik Beginner 4y ago

ML Fundamentals

ML Tests // Svet Penkov // Coffee Sessions #61

MLOps.community Beginner 4y ago

ML Fundamentals

Top takeaways from Women in Machine Learning Symposium 2021

TensorFlow Beginner 4y ago

ML Fundamentals

Why Sample Variance is Divided by n-1

Krish Naik Beginner 4y ago

ML Fundamentals

Reasons Why Your Resume May Not Get Selected?

Krish Naik Beginner 4y ago

ML Fundamentals

Benefits And Perks Of Working As A Data Scientist

Krish Naik Intermediate 4y ago

ML Fundamentals

Pete Warden, Tensor Flow's Tech Lead on reducing ML model size for mobile and embedded devices

Weights & Biases Beginner 4y ago

ML Fundamentals

Story Of Bappy- Successful Career Transition From Fresher To Freelancing Data Scientist

Krish Naik Intermediate 4y ago

ML Fundamentals

Visualizing autoencoders - Made with TensorFlow.js

TensorFlow Beginner 4y ago

ML Fundamentals

Checking My Data Science Resume Score?

Krish Naik Intermediate 4y ago

ML Fundamentals

LinkedIn Job Recommendations // Alexandre Patry // Coffee Sessions #60

MLOps.community Beginner 4y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Python Basics: Create a Guessing Number Game from Scratch

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Self-paced

NLP – Machine Learning Models in Python

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Self-paced

Interpretable Machine Learning Applications: Part 2

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📚 Coursera Course ↗

Self-paced

Mathematics for Machine Learning: Linear Algebra

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Self-paced

Approximation Algorithms

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📚 Coursera Course ↗

Self-paced

Linear Regression with Python

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Self-paced

Deep Learning

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Statistics You Need to Know for Machine Learning

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Training, Evaluating, and Monitoring Machine Learning Models

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Applied Machine Learning and Model Optimization

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📚 Coursera Course ↗

Self-paced

Advanced CNNs, Transfer Learning, and Recurrent Networks

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📚 Coursera Course ↗

Self-paced

Machine Learning and Data Analytics Part 2

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📚 Coursera Course ↗

Self-paced

Machine Learning Using SAS Viya

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📚 Coursera Course ↗

Self-paced

Practical Predictive Analytics: Models and Methods

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Self-paced

Machine Learning: Clustering & Retrieval

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📚 Coursera Course ↗

Self-paced

Machine Learning with Python: Build & Optimize

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📚 Coursera Course ↗

Self-paced

Introduction Course to Autoencoders, VAEs, and GANs

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📚 Coursera Course ↗

Self-paced

Scalable Machine Learning on Big Data using Apache Spark

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