📐 ML Fundamentals

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

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

Few Important Pointers For Preparing Fresher Data Science Resumes

Krish Naik Intermediate 4y ago

ML Fundamentals

Build and Deploy a Machine Learning App in 2 Minutes

HuggingFace Beginner 4y ago

ML Fundamentals ⚡ AI Lesson

Pete Warden — Practical Applications of TinyML

Weights & Biases Intermediate 4y ago

ML Fundamentals ⚡ AI Lesson

Access part of a Pipeline using slicing

Data School Beginner 4y ago

ML Fundamentals ⚡ AI Lesson

Classifying satellite imagery - Made with TensorFlow.js

TensorFlow Beginner 4y ago

ML Fundamentals ⚡ AI Lesson

Women in Machine Learning Symposium 2021 livestream

TensorFlow Beginner 4y ago

ML Fundamentals ⚡ AI Lesson

Tune the parameters of a VotingClassifer or VotingRegressor

Data School Beginner 4y ago

ML Fundamentals ⚡ AI Lesson

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 ⚡ AI Lesson

How You Should Split Your Datasets in Machine Learning

NeuralNine Beginner 4y ago

ML Fundamentals ⚡ AI Lesson

Reimagining Digital Customer Engagement - AWS Online Tech Talks

AWS Developers Intermediate 4y ago

ML Fundamentals ⚡ AI Lesson

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

AWS Developers Intermediate 4y ago

ML Fundamentals ⚡ AI Lesson

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 ⚡ AI Lesson

What you should do during a Data Science Internship

CodeEmporium Beginner 4y ago

ML Fundamentals ⚡ AI Lesson

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

DataCamp 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

How to code neural networks without math*

Daniel Bourke 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 ⚡ AI Lesson

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

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

Nicholas Renotte Beginner 4y ago

ML Fundamentals

Can we simulate a real robot?

sentdex Advanced 4y ago

ML Fundamentals

Newton’s fractal (which Newton knew nothing about)

3Blue1Brown Beginner 4y ago

ML Fundamentals

Plotly graphs and figures

DataCamp 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

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 ⚡ AI Lesson

Announcing Google's Machine Learning Virtual Community Day

TensorFlow Intermediate 4y ago

ML Fundamentals

How mlctl Helps Intuit's Workflow // Srivathsan Canchi // Coffee Sessions # 50 short clip

MLOps.community Beginner 4y ago

ML Fundamentals

How Vishwa Made A Successful Career From A Fresher To Data Science

Krish Naik Intermediate 4y ago

ML Fundamentals

Create feature interactions using PolynomialFeatures

Data School Beginner 4y ago

ML Fundamentals

Self-Service Machine Learning with Amazon Redshift - AWS Virtual Workshop

AWS Developers Intermediate 4y ago

ML Fundamentals

Data Selection for Data-Centric AI: Data Quality Over Quantity // Cody Coleman //Coffee Sessions#59

MLOps.community Beginner 4y ago

ML Fundamentals

Remote Work Vs Working From Office- Which Is Good For Longer Run?

Krish Naik Intermediate 4y ago

ML Fundamentals

PyTorch Book Reading - 7. Training a Tumor classifier

Weights & Biases Beginner 4y ago

ML Fundamentals

Why Companies Hire Less Data Scientist In College Placements? For 2nd Tier And 3rd Tier

Krish Naik Intermediate 4y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

GPU Clusters & Containers

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Introduction to Machine Learning

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📚 Coursera Course ↗

Self-paced

Model Context Protocol – Fundamentals to Advanced Use

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📚 Coursera Course ↗

Self-paced

Algebra: Elementary to Advanced - Polynomials and Roots

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📚 Coursera Course ↗

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Spatial Analysis, 3D Data & Machine Learning

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📚 Coursera Course ↗

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Exploring Artificial Intelligence Use Cases and Applications

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A Crash Course in Data Science

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Microsoft Azure Machine Learning

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📚 Coursera Course ↗

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Advanced RNN Concepts and Projects

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📚 Coursera Course ↗

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Classify Images of Cats and Dogs using Transfer Learning

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📚 Coursera Course ↗

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Deep Learning and Reinforcement Learning

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📚 Coursera Course ↗

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Machine Learning: Classification

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📚 Coursera Course ↗

Self-paced

Deploy ML Models to Production

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📚 Coursera Course ↗

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Create Image Captioning Models - Deutsch

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Build Better Generative Adversarial Networks (GANs)

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Introduction to Generative AI - Italiano

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Chatbots with Keras & NLP: Build & Evaluate

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Basic Image Classification with TensorFlow

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