📐 ML Fundamentals

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

📐 ML Fundamentals

Cosine Similarity and Cosine Distance

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Euclidean Distance and Manhattan Distance

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Inside TensorFlow: tf.distribute.Strategy

TensorFlow Intermediate 6y ago

📐 ML Fundamentals

Gauge Equivariant Convolutional Networks and the Icosahedral CNN

Yannic Kilcher Intermediate 6y ago

📐 ML Fundamentals

Multi Programming - Computerphile

Computerphile Intermediate 6y ago

📐 ML Fundamentals

Before Raspberry Pi and Arduino - Computerphile

Computerphile Intermediate 6y ago

📐 ML Fundamentals

Onyx

Data Skeptic Intermediate 6y ago

📐 ML Fundamentals

16. Video Frame Prediction using CNNs and LSTMs (2019)

Weights & Biases Intermediate 6y ago

📐 ML Fundamentals

Hyperparameter Tuning and Experimenting - Training Deep Neural Networks

deeplizard Intermediate 6y ago

📐 ML Fundamentals

Phoenix Realtime Chat Application - Channels, Presence, and Ecto Relations - Part 3

Tensor Programming Intermediate 6y ago

📐 ML Fundamentals

ASU's Online Master of Computer Science [Admissions Q&A - July 11]

Coursera Intermediate 6y ago

📐 ML Fundamentals

Simulation and Synthetic Data for Computer Vision with Batu Arisoy - TWiML Talk #281

The TWIML AI Podcast with Sam Charrington Intermediate 6y ago

📐 ML Fundamentals

Phoenix Realtime Chat Application - Authentication, Sessions and Plugs - Part 2

Tensor Programming Intermediate 6y ago

📐 ML Fundamentals

My first week running an online business

Daniel Bourke Intermediate 6y ago

📐 ML Fundamentals

The world's worst video card?

Ben Eater Intermediate 6y ago

📐 ML Fundamentals

Free Kick Goal

Skip Price Intermediate 6y ago

📐 ML Fundamentals

CNN Training Loop Explained - Neural Network Code Project

deeplizard Intermediate 6y ago

📐 ML Fundamentals

Inside TensorFlow: Functions, not sessions

TensorFlow Intermediate 6y ago

📐 ML Fundamentals

Why Do I Teach? Motivations

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Data Engineer vs Data Analyst vs Data Scientist

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

What Do A Data Scientist Do?

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Why Do We Need to Perform Feature Scaling?

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Different Types of Feature Engineering Encoding Techniques

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

How to Crack Data Science Interviews- Motivations

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

What should be your Salary Expectation as a Data Scientist?

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Step By Step Transition Towards Data Science

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Feature Engineering-How to Perform One Hot Encoding for Multi Categorical Variables

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Complete Life Cycle of a Data Science Project

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

My Path on Becoming a Data Scientist- Motivation

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Train Test Split vs K Fold vs Stratified K fold Cross Validation

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Tutorial 1- Weighted hybrid technique for Recommender system

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Python Application to Track Amazon Product Prices

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Recommendation Systems using Machine Learning

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Tutorial 8- Exploding Gradient Problem in Neural Network

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Self Compiling Compilers - Computerphile

Computerphile Intermediate 6y ago

📐 ML Fundamentals

Tutorial 6-Chain Rule of Differentiation with BackPropagation

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Tutorial 5- How to train MultiLayer Neural Network and Gradient Descent

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Tutorial 4: How to train Neural Network with BackPropogation

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Malaria Disease Detection using Deep Learning

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

How to Read Dataset in Google Colab from Google Drive

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Finding an outlier in a dataset using Python

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Diabetes Prediction using Machine Learning from Kaggle

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

How to choose number of hidden layers and nodes in Neural Network

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Why, How and When to Scale Features in Machine Learning?

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Credit card Risk Assessment using Machine Learning

Krish Naik Intermediate 6y ago

📐 ML Fundamentals

Phoenix Realtime Chat Application - Setting Up CRUD - Part 1

Tensor Programming Intermediate 6y ago

📐 ML Fundamentals

Low Spec Gaming - Computerphile

Computerphile Intermediate 6y ago

📐 ML Fundamentals

DNA Sequencing Classifier using Machine Learning

Krish Naik Intermediate 6y ago

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Mastering Neural Networks and Model Regularization

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A Crash Course in Data Science

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Deep Learning with TensorFlow: Build Neural Networks

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NumPy, Matplotlib & Pandas – Data Science Prerequisites

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Octave Machine Learning: Apply, Analyze & Build

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Foundations of Quantum Mechanics

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Réseaux neuronaux et Deep Learning

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Create Image Captioning Models - Italiano

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No-Code AI Foundations for Business Professionals

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Applied Plotting, Charting & Data Representation in Python

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Machine Learning with PyTorch and Scikit-Learn

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Compare Models with Experiments in Azure ML Studio

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From Zero to Hero - Digital Product Development From Scratch

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Optimize Vision Datasets: Augment and Analyze

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Splunk Administration and Advanced Topics

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Foundations of Statistical Learning & Algorithms

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Data Balancing with Gen AI: Credit Card Fraud Detection

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Advanced CNNs, Transfer Learning, and Recurrent Networks

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