📐 ML Fundamentals

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

ML Fundamentals

Multi-Armed Bandit : Data Science Concepts

ritvikmath Intermediate 5y ago

ML Fundamentals

Interview Prep Day 1-How To Learn Machine Learning Algorithms For Interviews- Naive Bayes Classifier

Krish Naik Intermediate 5y ago

ML Fundamentals

Track your machine learning insights with short reports on Weights and Biases

Weights & Biases Intermediate 5y ago

ML Fundamentals

NLP for Searching for Snippets of Code with Rok Novosel

Weights & Biases Intermediate 5y ago

ML Fundamentals

How To Set Profile And Apply Data Science Jobs In LinkedIn- Must For Freshers

Krish Naik Intermediate 5y ago

ML Fundamentals

Solution Challenge Demo Day 2020 Project: FreeSpeak

Google for Developers Intermediate 5y ago

ML Fundamentals

Finishing a Proc Macro - Live Stream

Tensor Programming Intermediate 5y ago

ML Fundamentals

Real Time Pose Estimation with Tensorflow.Js and Javascript

Nicholas Renotte Intermediate 5y ago

ML Fundamentals

Hamming codes part 2: The one-line implementation

3Blue1Brown Intermediate 5y ago

ML Fundamentals

VAR Model in Python : Time Series Talk

ritvikmath Intermediate 5y ago

ML Fundamentals

Assessing Property Damage with AI

NVIDIA Developer Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

Laziness in Python - Computerphile

Computerphile Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

Predict with a Fine-Tuned Neural Network with TensorFlow's Keras API

deeplizard Intermediate 5y ago

ML Fundamentals

How To Become A Data Scientist In 1 Year (Learn From A Real World Example)

Abhishek Thakur Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

Train a Fine-Tuned Neural Network with TensorFlow's Keras API

deeplizard Intermediate 5y ago

ML Fundamentals

MLOps Cubonacci workshop

MLOps.community Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

Tips To Build A Good Data Science / Machine Learning Project (For Your Portfolio)

Abhishek Thakur Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

The Four Grand Challenges of Robots in the Home

Brandon Rohrer Intermediate 5y ago

ML Fundamentals

TensorFlow Tutorial 8 - Model Subclassing with Keras

Aladdin Persson Intermediate 5y ago

ML Fundamentals

Welcome to Girls Who Build Cameras, Summer 2016

MIT OpenCourseWare Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

Are courses enough for a job? | Machine learning engineer livestream Q&A

Daniel Bourke Intermediate 5y ago

ML Fundamentals

Build Your First Machine Learning AI With Neural Networks

Web Dev Simplified Intermediate 5y ago

ML Fundamentals

MLOps Day Conference - We Sponsored a Conference!

MLOps.community Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

Build FAST Machine Learning Apps with Javascript React.Js and Watson || Python ML PT.6

Nicholas Renotte Intermediate 5y ago

ML Fundamentals

I Built a Personal Speech Recognition System for my AI Assistant

The AI Hacker Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

DNS Cache Poisoning - Computerphile

Computerphile Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

Data Science Portfolio Project: Regression #2 | Data Science with Marco

Data Science with Marco Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

W&B Deep Learning Salon - Robert Nishihara & Rok Novosel

Weights & Biases Intermediate 5y ago

ML Fundamentals

Step By Step Path Of Transition From Data Analyst To Data Scientist

Krish Naik Intermediate 5y ago

ML Fundamentals

Step By Step Path To Become A Data Analyst in 2020

Krish Naik Intermediate 5y ago

ML Fundamentals

Live- Virtual Interview For Data Scientist By Krish And Sudhanshu

Krish Naik Intermediate 5y ago

ML Fundamentals

Why Domain Knowledge Is Important In Data Science?

Krish Naik Intermediate 5y ago

ML Fundamentals

Live - Data Science Q&A And Upcoming Videos Plan

Krish Naik Intermediate 5y ago

ML Fundamentals

Data Science Is Just Not About Model Building

Krish Naik Intermediate 5y ago

ML Fundamentals

Suzana Ilić — Cultivating Machine Learning Communities

Weights & Biases Intermediate 5y ago

ML Fundamentals

Live -End To End Docker Implementation Of Data Science Projects

Krish Naik Intermediate 5y ago

ML Fundamentals

Debugging Server Side Application Using Python In Pycharm

Krish Naik Intermediate 5y ago

ML Fundamentals

Live- Conversation With Data Structure And Algorithms Mentor For Free Community Session

Krish Naik Intermediate 5y ago

ML Fundamentals

Live Project-Cotton Disease Prediction Deep Learning Live Project Implementation

Krish Naik Intermediate 5y ago

ML Fundamentals

Live-Best Practices For Data Science Project Development|Session By Chief Technology Officer-Ineuron

Krish Naik Intermediate 5y ago

ML Fundamentals

Live Q&A Data Science By Krish And Sudhanshu- Give Away For Women To Promote AI

Krish Naik Intermediate 5y ago

ML Fundamentals

Live Project- Web Application - Loan Default Prediction- Masters Thesis

Krish Naik Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

Build a Fine-Tuned Neural Network with TensorFlow's Keras API

deeplizard Intermediate 5y ago

ML Fundamentals

Live Transition Story Of Civil Engineer To Data Scientist With 2 Years Gap

Krish Naik Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

Convolutional Neural Network Predictions with TensorFlow's Keras API

deeplizard Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

Build and Train a Convolutional Neural Network with TensorFlow's Keras API

deeplizard Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

SVD is a Refactor with Charles Frye

Weights & Biases Intermediate 5y ago

ML Fundamentals

MLOps Meetup #26 / How to Leverage ML Tooling Ecosystem / Mariya Davydova Head of Product at Neu ro

MLOps.community Intermediate 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Convolutional Neural Networks

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DP-100 Microsoft Azure DS Exam

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Self-paced

Automate, Evaluate and Deploy ML Models Confidently

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📚 Coursera Course ↗

Self-paced

Aligning Business Strategy for AI Integration

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📚 Coursera Course ↗

Self-paced

Developing Explainable AI (XAI)

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Self-paced

Deep Learning with ANN in Python: Build & Optimize

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📚 Coursera Course ↗

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Fundamentals of Machine Learning for Healthcare

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📚 Coursera Course ↗

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MLOps Tools: MLflow and Hugging Face

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📚 Coursera Course ↗

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Artificial Intelligence Privacy and Convenience

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📚 Coursera Course ↗

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Introduction to Data Science and scikit-learn in Python

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📚 Coursera Course ↗

Self-paced

Credit Default Prediction with Python: Apply & Analyze

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📚 Coursera Course ↗

Self-paced

Derivatives: a guide to calculation

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📚 Coursera Course ↗

Self-paced

Machine Learning: an overview

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📚 Coursera Course ↗

Self-paced

VLSI CAD Part I: Logic

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📚 Coursera Course ↗

Self-paced

Essential Linear Algebra for Data Science

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📚 Coursera Course ↗

Self-paced

What is Product Lifecycle Management?

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Optimize ML Models: Hyperparameter Tuning

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📚 Coursera Course ↗

Self-paced

Data Science Coding Challenge: Loan Default Prediction

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