📐 ML Fundamentals

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

ML Fundamentals

Image Augmentation is AMAZING!

Rob Mulla Intermediate 2y ago

ML Fundamentals

Neural Networks 101: Practical Hands-on Session | Beginner Level | DataHour by Prashant Sahu

Analytics Vidhya Intermediate 2y ago

ML Fundamentals

Audio classification - ML on Android with MediaPipe Series

Google for Developers Intermediate 2y ago

ML Fundamentals

Mojo 🔥 — a new programming language for AI developers (first look)

Patrick Loeber Intermediate 2y ago

ML Fundamentals

Promoting Distributed Innovation // Melissa Barr & Michael Mui // MLOps Podcast #154 video clip

MLOps.community Intermediate 2y ago

ML Fundamentals

Deep Learning in Google Maps

MLOps.community Intermediate 2y ago

ML Fundamentals

Preparing Data at Scale with Amazon SageMaker Notebooks- AWS Machine Learning in 15

AWS Developers Intermediate 2y ago

ML Fundamentals

Natural Language Processing meets MLOps

Outerbounds Intermediate 2y ago

ML Fundamentals

AWS Heroes in 15: Leveraging Rust for MLOps with the Amazon Sagemaker-

AWS Developers Intermediate 3y ago

ML Fundamentals

Feature Engineering for Predicting Hotel Bookings with tidymodels

DataCamp Intermediate 3y ago

ML Fundamentals

Learn how to create an inclusive culture

Coursera Intermediate 3y ago

ML Fundamentals

Building The Future of ML on W&B

Weights & Biases Intermediate 3y ago

ML Fundamentals

How to build end-to-end recommender systems at reasonable scale

Outerbounds Intermediate 3y ago

ML Fundamentals

Stanford CS330 Deep Multi-Task & Meta Learning - What is multi-task learning? I 2022 I Lecture 1

Stanford Online Intermediate 3y ago

ML Fundamentals

Implementing Gradient Descent in Python | DataHour by Atmakumar Rai

Analytics Vidhya Intermediate 3y ago

ML Fundamentals

The State of Climate Finance in Africa

Saïd Business School, University of Oxford Intermediate 3y ago

ML Fundamentals

Private Equity: What's on the Horizon

Saïd Business School, University of Oxford Intermediate 3y ago

ML Fundamentals

🔴 LIVE 🔴 How to build a career in AI

Aladdin Persson Intermediate 3y ago

ML Fundamentals

Stable Diffusion Reimagine - New img2img - Fully Explained!

1littlecoder Intermediate 3y ago

ML Fundamentals

AI Custom Drawings Classifier with Python

NeuralNine Intermediate 3y ago

ML Fundamentals

Text Generation AI - Next Word Prediction in Python

NeuralNine Intermediate 3y ago

ML Fundamentals

Why use PyTorch modules when coding neural networks?

CodeEmporium Intermediate 3y ago

ML Fundamentals

Robotic Dexterity and Collaboration with Monroe Kennedy III - 619

The TWIML AI Podcast with Sam Charrington Intermediate 3y ago

ML Fundamentals

The BEST Machine Learning Resume Project!

Tech With Tim Intermediate 3y ago

ML Fundamentals

Practical Data Science on AWS: Generative AI

DeepLearningAI Intermediate 3y ago

ML Fundamentals

Become so good they can't ignore you - Navigating career choices

Aladdin Persson Intermediate 3y ago

ML Fundamentals

Streamlit and txtai: Building an Abstractive Summarization App in Python

AI Anytime Intermediate 3y ago

ML Fundamentals

Stanford Seminar - Crypto Governance

Stanford Online Intermediate 3y ago

ML Fundamentals

Break Down Barriers to Knowledge with Amazon Kendra- AWS Machine Learning in 15

AWS Developers Intermediate 3y ago

ML Fundamentals

AWS Heroes in 15: Bear Conservation with ML, Serverless and Citizen Science

AWS Developers Intermediate 3y ago

ML Fundamentals

ML in Production: A DS from Ubisoft Perspective // Jean-Michel Daignan // MLOps Podcast #151

MLOps.community Intermediate 3y ago

ML Fundamentals

Feature Engineering and Selection for Machine Learning | DataHour by Dr. Surabhi Thorat

Analytics Vidhya Intermediate 3y ago

ML Fundamentals

How to Build a Multi Task Model using TensorFlow | DataHour by Sateesh Sivakoti

Analytics Vidhya Intermediate 3y ago

ML Fundamentals

Machine Learning in 15: Why Geospatial ML?-- AWS Machine Learning in 15

AWS Developers Intermediate 3y ago

ML Fundamentals

Best of Pandas & The Power of Simple Models | DataHour by Vasudev Gupta

Analytics Vidhya Intermediate 3y ago

ML Fundamentals

AWS Heroes in 15: Managing ML Workflows In Production with Amazon SageMaker

AWS Developers Intermediate 3y ago

ML Fundamentals

Methods to select column in pandas | python programming #shorts #python

Analytics Vidhya Intermediate 3y ago

ML Fundamentals

Implementing a Neural Network using Pytorch | DataHour by Shanup Peer

Analytics Vidhya Intermediate 3y ago

ML Fundamentals

Happy Holi to our entire Data Science Community #shorts #happyholi #datascience

Analytics Vidhya Intermediate 3y ago

ML Fundamentals

Build Your First Predictive Model - Titanic Survival Problem | Must have Resume Project

Analytics Vidhya Intermediate 3y ago

ML Fundamentals

AWS Heroes in 15: How Carsales Uses Amazon SageMaker Notebooks- AWS Machine Learning in 15

AWS Developers Intermediate 3y ago

ML Fundamentals

Laptop Price Prediction with Python

NeuralNine Intermediate 3y ago

ML Fundamentals

How to build a great Linkedin Profile - to get a job in 2023 #shorts #linkedin

Analytics Vidhya Intermediate 3y ago

ML Fundamentals

Data Science in Banking Industry | DataHour by Aman Prakash

Analytics Vidhya Intermediate 3y ago

ML Fundamentals

Discover Recommendation Engine Best Practices with Amazon Personalize- AWS Online Tech Talks

AWS Developers Intermediate 3y ago

ML Fundamentals

Empower Your Employees to Find Answers Fast- AWS Online Tech Talks

AWS Developers Intermediate 3y ago

ML Fundamentals

Building a Centralized Background for Seamless User Experience

MLOps.community Intermediate 3y ago

ML Fundamentals

What is ML governance? - AWS Machine Learning in 15

AWS Developers Intermediate 3y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Introduction to Linear Algebra

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Machine Learning Operations (MLOps): Getting Started

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Foundations of Machine Learning

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Microsoft Azure - Basics

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Mathematical Thinking in Computer Science

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Machine Learning in Retail

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Introduction to Image Generation - Italiano

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Pricing Options with Mathematical Models

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Advanced Methods in Machine Learning Applications

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Deep Learning with Keras and Practical Applications

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Interpretable Machine Learning Applications: Part 1

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Computer Vision Basics

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Introduction to Generative AI - Français

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Mastering Neural Networks and Model Regularization

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Machine Learning Foundations: A Case Study Approach

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Customer Segmentation with K-Means: Model & Visualize

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Digital Signal Processing 3: Analog vs Digital

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RNN Architecture and Sentiment Classification

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