📐 ML Fundamentals

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

ML Fundamentals

Mastering CNNs in 5 Minutes | ConvNets Explained

What's AI by Louis-François Bouchard Beginner 5y ago

ML Fundamentals

How To Contribute To Open Source Data Science Projects And Libraries

Krish Naik Intermediate 5y ago

ML Fundamentals

K-Means Clustering from Scratch - Machine Learning Python

Aladdin Persson Beginner 5y ago

ML Fundamentals

Logistic Regression from Scratch - Machine Learning Python

Aladdin Persson Beginner 5y ago

ML Fundamentals

I Built an A.I. Voice Assistant using PyTorch - part 1, Wake Word Detection

The AI Hacker Intermediate 5y ago

ML Fundamentals

Engineering a Less Artificial Intelligence with Andreas Tolias - #379

The TWIML AI Podcast with Sam Charrington Advanced 5y ago

ML Fundamentals

Blue Yeti Mic Unboxing - Best Mic For Youtube Videos Recordings

Krish Naik Intermediate 5y ago

ML Fundamentals

The Business-Government Boundary

Saïd Business School, University of Oxford Intermediate 5y ago

ML Fundamentals

Outlier detection and removal: z score, standard deviation | Feature engineering tutorial python # 3

codebasics Beginner 5y ago

ML Fundamentals

MLOps meetup #14 // Kubeflow vs MLflow with Byron Allen

MLOps.community Intermediate 5y ago

ML Fundamentals

Show your Versatility as a Data Scientist

MLOps.community Beginner 5y ago

ML Fundamentals

Machine Learning Foundations: Ep #7 - Image augmentation and overfitting

Google for Developers Beginner 5y ago

ML Fundamentals

Machine Learning in Biophysics with Tyler Shimko

Weights & Biases Beginner 5y ago

ML Fundamentals

Benchmarks for collaborative Machine Learning with Stacey Svetlichnaya

Weights & Biases Advanced 5y ago

ML Fundamentals

Keras with TensorFlow - Data Processing for Neural Network Training

deeplizard Intermediate 5y ago

ML Fundamentals

The Softmax : Data Science Basics

ritvikmath Beginner 5y ago

ML Fundamentals

Advancing Your Data Science Career During the Pandemic

The TWIML AI Podcast with Sam Charrington Beginner 5y ago

ML Fundamentals

The Sigmoid : Data Science Basics

ritvikmath Beginner 5y ago

ML Fundamentals

Classification in Python | logistic regression, LDA, QDA | Data Science With Marco

Data Science with Marco Beginner 5y ago

ML Fundamentals

Predicting Churn with Automated Python Machine Learning

Nicholas Renotte Intermediate 5y ago

ML Fundamentals

Linear Algebra Ep 2 | Dot Product in Linear Algebra for Data Science

Harshit Tyagi Advanced 5y ago

ML Fundamentals

Machine Learning Foundations: Ep #6 - Convolutional cats and dogs

Google for Developers Beginner 5y ago

ML Fundamentals

Talks # 3: Lorenzo Ampil - Introduction to T5 for Sentiment Span Extraction

Abhishek Thakur Beginner 5y ago

ML Fundamentals

Data Scientist Job Descriptions | 365 Data Science In-Depth Study

365 Data Science Beginner 5y ago

ML Fundamentals

TensorFlow and Keras GPU Support - CUDA GPU Setup

deeplizard Beginner 5y ago

ML Fundamentals

Leadership in a New Retail Landscape

Saïd Business School, University of Oxford Intermediate 5y ago

ML Fundamentals

Modes of Operation - Computerphile

Computerphile Beginner 5y ago

ML Fundamentals

Linear Algebra Ep 1 | Introduction to Vectors, Matrices and Tensors using NumPy

Harshit Tyagi Beginner 5y ago

ML Fundamentals

Data Science Vs Data Mining

Krish Naik Intermediate 5y ago

ML Fundamentals

MLOps meetup #13 // Maximizing Job Opportunities as a Data Scientist on the Market w/ Anthony Kelly

MLOps.community Beginner 5y ago

ML Fundamentals

Live Q&A DATA SCIENCE

Krish Naik Intermediate 5y ago

ML Fundamentals

Deep Learning Salon by Weights & Biases

Weights & Biases Beginner 5y ago

ML Fundamentals

Whether Data Science Is Becoming Software Engineering?

Krish Naik Intermediate 5y ago

ML Fundamentals

Stock Price Prediction And Forecasting Using Stacked LSTM- Deep Learning

Krish Naik Beginner 5y ago

ML Fundamentals

How To Create Your Own Brand As A Data Scientist? Yes You Can Do It

Krish Naik Intermediate 5y ago

ML Fundamentals

Lets Implement LSTM RNN Models For Univariate Time Series Forecasting- Deep Learning

Krish Naik Intermediate 5y ago

ML Fundamentals

Docker Tutorial 6- Writing, Building And Running Docker Image| Machine Learning

Krish Naik Beginner 5y ago

ML Fundamentals

Why OOPS Concepts Is Must For Implementing Complex Data Science Projects

Krish Naik Intermediate 5y ago

ML Fundamentals

Did You Improve Your Productivity During This Lockdown?- Data Science - Sharing My Experience

Krish Naik Intermediate 5y ago

ML Fundamentals

Docker Tutorial 5- Understanding Docker Commands- Machine Learning

Krish Naik Beginner 5y ago

ML Fundamentals

Atmanirbhar- Let's Become Specialized Data Scientist

Krish Naik Intermediate 5y ago

ML Fundamentals

Real-world image classification using convolutional neural networks | Machine Learning Foundations

Google for Developers Intermediate 5y ago

ML Fundamentals

Coding the SARIMA Model : Time Series Talk

ritvikmath Intermediate 5y ago

ML Fundamentals

Docker Tutorial 4-Docker Installation instructions In Windows And Other OS | Machine Learning

Krish Naik Beginner 5y ago

ML Fundamentals

Kaggle Faker News Classifier Using LSTM- Deep LEarning| Natural Language Processing

Krish Naik Beginner 5y ago

ML Fundamentals

GOTO Episode 5 - The Summit - with keynote speaker, Al Gore

Saïd Business School, University of Oxford Beginner 5y ago

ML Fundamentals

PyTorch on the GPU - Training Neural Networks with CUDA

deeplizard Beginner 5y ago

ML Fundamentals

Successful Transition Story From Civil Engineer To A Data Scientist

Krish Naik Beginner 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Grow Trees & Powerful Ensembles

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Principles of Data Science

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A Crash Course in Data Science

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Interpretable Machine Learning Applications: Part 2

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Machine Learning with Implementation in Java

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Advanced Linear Models for Data Science 2: Statistical Linear Models

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AI for Autonomous Vehicles and Robotics

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Debug ML Code: Fix, Trace & Evaluate

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Precalculus: Mathematical Modeling

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Calculus through Data & Modeling: Limits & Derivatives

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Using Machine Learning in Trading and Finance

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Fundamentals of Machine Learning in Finance

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Data Visualization and Modeling in Python

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AWS: IoT, Machine Learning and Blockchain

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ML Parameters Optimization: GridSearch, Bayesian, Random

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NVIDIA: Fundamentals of Deep Learning

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Advanced Chatbots with Deep Learning and Python

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Machine Learning Models in Science

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