📐 ML Fundamentals

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

ML Fundamentals

Time Series Forecasting Made Easy Using Dart Library - Perform Multivariate Forecasting In No Time

Krish Naik Beginner 4y ago

ML Fundamentals

Sir Clive Sinclair & British Computer Revolution - Computerphile

Computerphile Intermediate 4y ago

ML Fundamentals

Engineering Best Practices for Machine Learning // Alex Serban // MLOps Meetup #79

MLOps.community Beginner 4y ago

ML Fundamentals

Protecting Workers Today and Tomorrow Using AWS IoT - AWS Online Tech Talks

AWS Developers Intermediate 4y ago

ML Fundamentals

Experiment Faster with Low-Code / No-Code Machine Learning Tools from AWS - AWS Online Tech Talks

AWS Developers Intermediate 4y ago

ML Fundamentals

Estimators only print parameters that have been changed

Data School Beginner 4y ago

ML Fundamentals

Chris Albon — ML Models and Infrastructure at Wikimedia

Weights & Biases Beginner 4y ago

ML Fundamentals

Gies College of Business Webinar: From MOOCs to Master's

Coursera Beginner 4y ago

ML Fundamentals

W&B Fastbook Reading Group — 15. Application Architectures Deep Dive

Weights & Biases Beginner 4y ago

ML Fundamentals

Build a Deep Facial Recognition App // Part 4 - Building a Siamese Neural Network // #Python

Nicholas Renotte Beginner 4y ago

ML Fundamentals

PyTorch Community Voices | AI Model Efficiency Toolkit (AIMET) | Abhijit and Chirag

PyTorch Intermediate 4y ago

ML Fundamentals

What does it mean to subtract one distribution from another?

ritvikmath Intermediate 4y ago

ML Fundamentals

Load a toy dataset into a DataFrame

Data School Beginner 4y ago

ML Fundamentals

#71 Scaling Machine Learning Adoption: A Pragmatic Approach (with Noah Gift)

DataCamp Beginner 4y ago

ML Fundamentals

Jay McClelland: Neural Networks and the Emergence of Cognition | Lex Fridman Podcast #222

Lex Fridman Beginner 4y ago

ML Fundamentals

Important Points To Remember While Discussing CTC And Inhand Salary In Industry

Krish Naik Intermediate 4y ago

ML Fundamentals

Build a Deep Facial Recognition App // Part 3 - Preparing Data for Deep Learning // TF Dataloader

Nicholas Renotte Intermediate 4y ago

ML Fundamentals

Career Gap and Now a Machine Learning Engineer At Sony

codebasics Beginner 4y ago

ML Fundamentals

Bit Blit Algorithm (Amiga Blitter Chip) - Computerphile

Computerphile Intermediate 4y ago

ML Fundamentals

Introduction to Generative Adversarial Networks (Tutorial Recording at ISSDL 2021)

Sebastian Raschka Beginner 4y ago

ML Fundamentals

Talks S2E6 (Louise Ferbach): Deep Learning For Survival Analysis

Abhishek Thakur Beginner 4y ago

ML Fundamentals

A Truly Unbiased Model

Microsoft Research Beginner 4y ago

ML Fundamentals

PyTorch Community Voices | PyTorch-Ignite | Victor Fomin

PyTorch Beginner 4y ago

ML Fundamentals

Learning Commonsense Understanding through Language and Vision

Microsoft Research Beginner 4y ago

ML Fundamentals

Douglas Lenat: Cyc and the Quest to Solve Common Sense Reasoning in AI | Lex Fridman Podcast #221

Lex Fridman Beginner 4y ago

ML Fundamentals

Change of Basis : Data Science Basics

ritvikmath Beginner 4y ago

ML Fundamentals

#StrengthBeyondAllOdds Female leaders who defy the odds - Diandra

Saïd Business School, University of Oxford Beginner 4y ago

ML Fundamentals

Hugging Face + Zapier Demo Video

HuggingFace Beginner 4y ago

ML Fundamentals

[Webinar] How to add machine learning capabilities with just a few lines of code

HuggingFace Beginner 4y ago

ML Fundamentals

How to build machine learning models for imbalanced datasets

Data Professor Beginner 4y ago

ML Fundamentals

Moldable Development with Glamorous Toolkit // Tudor Gîrba // MLOps Meetup #77

MLOps.community Beginner 4y ago

ML Fundamentals

Create Slow Motion Videos With AI - 2021 Results Highlights #shorts

What's AI by Louis-François Bouchard Beginner 4y ago

ML Fundamentals

Los ROBOTS de BOSTON DYNAMICS no FUNCIONAN como TÚ CREES...

Dot CSV Beginner 4y ago

ML Fundamentals

Deep learning project end to end | Potato Disease Classification - 7 : Model Deployment To GCP

codebasics Beginner 4y ago

ML Fundamentals

Calculus for ML - How much you should know to get started

Harshit Tyagi Beginner 4y ago

ML Fundamentals

Talks S2E5 (Luca Massaron): Hacking Bayesian Optimization

Abhishek Thakur Advanced 4y ago

ML Fundamentals

Democratizing Data Access and Machine Learning with Amazon Redshift ML - AWS Online Tech Talks

AWS Developers Intermediate 4y ago

ML Fundamentals

Maximize Feature Engineering ROI & Data Scientist Productivity Using Amazon SageMaker Feature Store

AWS Developers Intermediate 4y ago

ML Fundamentals

Rekognition Custom Labels - AWS Online Tech Talks

AWS Developers Intermediate 4y ago

ML Fundamentals

PyTorch Book Reading - 4. Train your first CNN using Torch

Weights & Biases Beginner 4y ago

ML Fundamentals

Appraisal Vs Resignation- Special Video For Everyone

Krish Naik Intermediate 4y ago

ML Fundamentals

Machine Learning Projects You NEVER Knew Existed

Nicholas Renotte Beginner 4y ago

ML Fundamentals

Live Coding Session on ResNet

Weights & Biases Intermediate 4y ago

ML Fundamentals

Create an interactive diagram of a Pipeline in Jupyter

Data School Beginner 4y ago

ML Fundamentals

PyTorch Book Reading - 3. Train your first neural network

Weights & Biases Beginner 4y ago

ML Fundamentals

Build a Deep Facial Recognition App // Part 2 Collecting Data // Deep Learning Project Tutorial

Nicholas Renotte Intermediate 4y ago

ML Fundamentals

Deep learning project end to end | Potato Disease Classification - 6 : ImageDataGenerator API

codebasics Beginner 4y ago

ML Fundamentals

Problem With Companies On Dealing With Notice Period

Krish Naik Intermediate 4y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Calculus through Data & Modeling: Differentiation Rules

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Self-paced

Advanced RNN Concepts and Projects

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📚 Coursera Course ↗

Self-paced

Machine Learning Basics

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📚 Coursera Course ↗

Self-paced

The Data Science Profession – Student View

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📚 Coursera Course ↗

Self-paced

Advanced Machine Learning, Big Data, and Deep Learning

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📚 Coursera Course ↗

Self-paced

Introduction to Data, Signal, and Image Analysis with MATLAB

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📚 Coursera Course ↗

Self-paced

IA Para Todos (Português)

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📚 Coursera Course ↗

Self-paced

AI Foundations with Python: Build & Visualize

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📚 Coursera Course ↗

Self-paced

Using R for Geostatistical Geospatial Modeling

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📚 Coursera Course ↗

Self-paced

GenAI for Compensation Analysis in Law Firms

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📚 Coursera Course ↗

Self-paced

Probabilistic Graphical Models: A Compact Introduction

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📚 Coursera Course ↗

Self-paced

Calculus for Engineers

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📚 Coursera Course ↗

Self-paced

Amazon Kinesis Video Streams - Getting Started

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📚 Coursera Course ↗

Self-paced

Statistical Learning for Engineering Part 2

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📚 Coursera Course ↗

Self-paced

I/O-efficient algorithms

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📚 Coursera Course ↗

Self-paced

Build & Optimize TensorFlow ML Workflows

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📚 Coursera Course ↗

Self-paced

Solving ML Regression Problems with AWS AutoGluon

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📚 Coursera Course ↗

Self-paced

Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API

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