📐 ML Fundamentals

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

ML Fundamentals

What Is Smart Contract In Ethereum Blockchain?

Krish Naik Beginner 4y ago

ML Fundamentals

How/Why Regularization in Neural Networks?

AssemblyAI Beginner 4y ago

ML Fundamentals

Introduction to Regularization

AssemblyAI Beginner 4y ago

ML Fundamentals

Masters in Physics to Data Scientist Career Transition Story

codebasics Beginner 4y ago

ML Fundamentals

Building 12-Factor Data Apps with Kedro // Ivan Danov // MLOps Meetup #90

MLOps.community Beginner 4y ago

ML Fundamentals

DIABLo: a Deep Individual-Agnostic Binaural Localizer

Microsoft Research Intermediate 4y ago

ML Fundamentals

What Is NFT In Blockchain?

Krish Naik Beginner 4y ago

ML Fundamentals

Modern ML Stack is a Lie

MLOps.community Beginner 4y ago

ML Fundamentals

Open-Source Deep Learning

Connor Shorten Beginner 4y ago

ML Fundamentals

SCIENTIFIC COMPUTING IN PYTORCH | MIKE RUBERRY

PyTorch Beginner 4y ago

ML Fundamentals

RETHINKING DATA LOADING IN PYTORCH | VITALY FEDYUNIN

PyTorch Beginner 4y ago

ML Fundamentals

Iterative Closest Point (ICP) - Computerphile

Computerphile Intermediate 4y ago

ML Fundamentals

Train a custom object detection model using your data

TensorFlow Beginner 4y ago

ML Fundamentals

NVIDIA’s New AI: Journey Into Virtual Reality!

Two Minute Papers Beginner 4y ago

ML Fundamentals

13.3.1 L1-regularized Logistic Regression as Embedded Feature Selection (L13: Feature Selection)

Sebastian Raschka Beginner 4y ago

ML Fundamentals

Amazon SageMaker Studio Lab Tutorial - Free Google Colab Alternative (GPU without Credit Card)

1littlecoder Beginner 4y ago

ML Fundamentals

The Unreasonable Effectiveness of Bayesian Prediction

ritvikmath Intermediate 4y ago

ML Fundamentals

Deep Learning for Road Traffic Forecasting

Data Skeptic Beginner 4y ago

ML Fundamentals

AMA with Dr. Sebastian Raschka, Lead AI Educator at Grid.ai

Weights & Biases Beginner 4y ago

ML Fundamentals

13.2 Filter Methods for Feature Selection -- Variance Threshold (L13: Feature Selection)

Sebastian Raschka Beginner 4y ago

ML Fundamentals

Oxford MBA virtual open day December 2021 - welcome session

Saïd Business School, University of Oxford Intermediate 4y ago

ML Fundamentals

Oxford MBA virtual open day December 2021 - Career Development Centre

Saïd Business School, University of Oxford Intermediate 4y ago

ML Fundamentals

Introduction to object detection on Raspberry Pi

TensorFlow Beginner 4y ago

ML Fundamentals

Machine Learning Tips#5 MLOPs specialization in Coursera #machinelearning

Automata Learning Lab Beginner 4y ago

ML Fundamentals

A new addition to the fleet - Puget Workstation overview

sentdex Beginner 4y ago

ML Fundamentals

Bike Share Demand Forecasting

Data Skeptic Advanced 4y ago

ML Fundamentals

Machine Learning Tips: Deep Learning Monitor

Automata Learning Lab Beginner 4y ago

ML Fundamentals

JAX Course - 2. Working with Neural Networks in JAX

Weights & Biases Intermediate 4y ago

ML Fundamentals

Does OneNeuron Include Full Stack Data Scientist Course?

Krish Naik Intermediate 4y ago

ML Fundamentals

Roles And Responsibilities Of Devops Engineer- Highest Paid Salary

Krish Naik Intermediate 4y ago

ML Fundamentals

Yann LeCun & Soumith Chintala | Fireside Chat at PyTorch Developer Day 2021

PyTorch Beginner 4y ago

ML Fundamentals

BUILDING PRODUCTION ML PIPELINES FOR PYTORCH MODELS | VAIBHAV SINGH & RAJESH THALLAM

PyTorch Intermediate 4y ago

ML Fundamentals

KORNIA AI: LOW LEVEL COMPUTER VISION FOR AI

PyTorch Beginner 4y ago

ML Fundamentals

ML Drift - How to Identify Issues Before They Become Problems // Amy Hodler // MLOps Meetup #89

MLOps.community Beginner 4y ago

ML Fundamentals

The ML Test Score // Skylar Payne // MLOps Reading Group #2

MLOps.community Beginner 4y ago

ML Fundamentals

13.1 The Different Categories of Feature Selection (L13: Feature Selection)

Sebastian Raschka Beginner 4y ago

ML Fundamentals

ML Stepping Stones: Challenges & Opportunities for Companies // John Crousse // Coffee Sessions #67

MLOps.community Beginner 4y ago

ML Fundamentals

13.0 Introduction to Feature Selection (L13: Feature Selection)

Sebastian Raschka Beginner 4y ago

ML Fundamentals

Intro to Batch Normalization Part 4

AssemblyAI Beginner 4y ago

ML Fundamentals

Intro to Batch Normalization Part 3 - What is Normalization?

AssemblyAI Beginner 4y ago

ML Fundamentals

Intro to Batch Normalization Part 2

AssemblyAI Beginner 4y ago

ML Fundamentals

Intro to Batch Normalization Part 1

AssemblyAI Beginner 4y ago

ML Fundamentals

Deep Learning Series part 4 - Why is Deep Learning better for NLP?

AssemblyAI Beginner 4y ago

ML Fundamentals

Roles And Responsibilities Of An AI Engineer

Krish Naik Intermediate 4y ago

ML Fundamentals

Deep Learning Series part 3 - Deep Learning vs. Machine Learning

AssemblyAI Beginner 4y ago

ML Fundamentals

Activation Functions In Neural Networks Explained | Deep Learning Tutorial

AssemblyAI Beginner 4y ago

ML Fundamentals

Tutorial on Automated Machine Learning using MLBox

Krish Naik Beginner 4y ago

ML Fundamentals

Deep Learning Series part 2 - Why is it called “Deep Learning”?

AssemblyAI Beginner 4y ago