📐 ML Fundamentals

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

ML Fundamentals

Day 4-Practical ANN Impementation| Live Deep Learning Community Session

Krish Naik Beginner 3y ago

ML Fundamentals

What lies ahead for Coursera and GITAM?

Coursera Beginner 3y ago

ML Fundamentals

How has Coursera impacted GITAM?

Coursera Beginner 3y ago

ML Fundamentals

Jupyter Notebooks Are What You Need For Data Science

NeuralNine Beginner 3y ago

ML Fundamentals

Build a Deep Face Detection Model with Python and Tensorflow | Full Course

Nicholas Renotte Beginner 3y ago

ML Fundamentals

Real-Time Processing with Apache Flink, Kafka, and Pinot //Jacob Tsafatinos // Coffee Sessions #97

MLOps.community Beginner 3y ago

ML Fundamentals

Pyscript|Run Python In Your HTML

Krish Naik Beginner 3y ago

ML Fundamentals

Deep Learning with PyTorch - Course Reflection

deeplizard Beginner 3y ago

ML Fundamentals

FastAPI for Machine Learning // Sebastián Ramírez // MLOps Coffee Sessions #96

MLOps.community Beginner 3y ago

ML Fundamentals

Build a Comment Toxicity Model with Deep Learning and Python

Nicholas Renotte Beginner 3y ago

ML Fundamentals

Max Pooling vs No Max Pooling - Deep Learning Course

deeplizard Beginner 3y ago

ML Fundamentals

The StatQuest Introduction to PyTorch

StatQuest with Josh Starmer Beginner 3y ago

ML Fundamentals

I built the same model with TensorFlow and PyTorch | Which Framework is better?

Patrick Loeber Beginner 3y ago

ML Fundamentals

A. I. Learns to Play Starcraft 2 (Reinforcement Learning)

sentdex Beginner 3y ago

ML Fundamentals

Principles behind neural networks and one hot encoding

Google for Developers Beginner 3y ago

ML Fundamentals

Mircea Neagovici — Robotic Process Automation (RPA) and ML

Weights & Biases Beginner 3y ago

ML Fundamentals

Every Python Project I've Ever Made...

Tech With Tim Beginner 3y ago

ML Fundamentals

#13 Machine Learning Engineering for Production (MLOps) Specialization [Course 1, Week 2, Lesson 5]

DeepLearningAI Beginner 3y ago

ML Fundamentals

#36 Machine Learning Engineering for Production (MLOps) Specialization [Course 1, Week 3, Lesson 12]

DeepLearningAI Beginner 3y ago

ML Fundamentals

Introduction to artificial ML neural networks

Google for Developers Beginner 3y ago

ML Fundamentals

EM Algorithm : Data Science Concepts

ritvikmath Beginner 3y ago

ML Fundamentals

How to handle Uncertainty in Deep Learning #2.2

DeepFindr Beginner 3y ago

ML Fundamentals

Kaggle Hidden Gems - The Competition (with Heads or Tails)

Abhishek Thakur Beginner 3y ago

ML Fundamentals

AI Ethics Around Machine Learning Datasets and Models - Emily Denton

HuggingFace Beginner 3y ago

ML Fundamentals

Building an on-device recommendation model with TFLite

TensorFlow Beginner 4y ago

ML Fundamentals

Said Business School Executive Education - Back to Campus 2022

Saïd Business School, University of Oxford Beginner 4y ago

ML Fundamentals

Complete Guide to Cross Validation

Rob Mulla Beginner 4y ago

ML Fundamentals

JAX Talk: Generating Extremely Long Sequences with S4

Weights & Biases Beginner 4y ago

ML Fundamentals

Why did GITAM partner with Coursera?

Coursera Beginner 3y ago

ML Fundamentals

Day 3- Optimizers And ANN Implementation| Live Deep Learning Community Session

Krish Naik Beginner 3y ago

ML Fundamentals

Day 2-Forward Propogation, Loss Functions, Chain Rule Of Derivatives|Deep Learning Live

Krish Naik Beginner 3y ago

ML Fundamentals

Day 2- Live Deep Learning Community Sessions Announcement

Krish Naik Beginner 3y ago

ML Fundamentals

Day 1- Live Deep Learning Community Session

Krish Naik Beginner 3y ago

ML Fundamentals

5 Days Live Deep Learning Community Session Announcement

Krish Naik Beginner 3y ago

ML Fundamentals

Build a Deep CNN Image Classifier with ANY Images

Nicholas Renotte Beginner 3y ago

ML Fundamentals

Monte Carlo DropOut Layers In Deep Learning

Krish Naik Beginner 3y ago

ML Fundamentals

Machine Learning Projects CheckList

Krish Naik Beginner 3y ago

ML Fundamentals

#9 Machine Learning Engineering for Production (MLOps) Specialization [Course 1, Week 2, Lesson 1]

DeepLearningAI Beginner 3y ago

ML Fundamentals

Machine Learning basics

Google for Developers Beginner 3y ago

ML Fundamentals

AI and the Gartner Hype Cycle

Google for Developers Beginner 3y ago

ML Fundamentals

Training Multiple Networks - PyTorch Deep Learning Course

deeplizard Beginner 3y ago

ML Fundamentals

iNeuron And LCO Merger- Gifts Give Away

Krish Naik Beginner 3y ago

ML Fundamentals

IBM | Meet Coursera's Industry Partner

Coursera Beginner 3y ago

ML Fundamentals

Intuit | Meet Coursera's Industry Partner

Coursera Beginner 3y ago

ML Fundamentals

Reset Weights PyTorch Network - Deep Learning Course

deeplizard Beginner 4y ago

ML Fundamentals

What Is FOMO? Use It As A Weapon

Krish Naik Beginner 4y ago

ML Fundamentals

Celebrating Deep Learner Month #BeADeepLearner

DeepLearningAI Beginner 4y ago

ML Fundamentals

#BeADeepLearner like Kulsoom Abdullah with DeepLearning.AI

DeepLearningAI Beginner 4y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

GenAI for Employee Engagement: Driving Real-Time Insights

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Differential Equations Part I Basic Theory

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Data Balancing with Gen AI: Credit Card Fraud Detection

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📚 Coursera Course ↗

Self-paced

Machine Learning Capstone

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Data Science Decisions in Time: Using Causal Information

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Introduction to Image Generation - Deutsch

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6G Vision: ML, Intelligent Surfaces & Optical Networks

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CNNs with TensorFlow: Basics of Machine Learning

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Data Science in Stratified Healthcare and Precision Medicine

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Cyber Security: Application of AI

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📚 Coursera Course ↗

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SPSS: Apply & Evaluate Cluster Analysis Techniques

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Create (Artificial Intelligence) AI VIDEOS WITH ZERO FILMING

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📚 Coursera Course ↗

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Splunk Administration and Advanced Topics

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📚 Coursera Course ↗

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Machine Learning in the Enterprise - Italiano

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📚 Coursera Course ↗

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AI-900 - Azure AI Fundamentals and Two Practice Tests

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📚 Coursera Course ↗

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Motion Planning for Self-Driving Cars

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📚 Coursera Course ↗

Self-paced

Introduction to Portfolio Construction and Analysis with Python

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📚 Coursera Course ↗

Self-paced

Análisis exploratorio de datos con Python y Pandas

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