📐 ML Fundamentals

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

ML Fundamentals

Advance NLP Series Announcement- Happy 76th Independence Day

Krish Naik Intermediate 3y ago

ML Fundamentals

Autoencoders that can dance with you - Made with TensorFlow.js

TensorFlow Intermediate 3y ago

ML Fundamentals

MLflow Pipelines: Opinionated ML Pipelines in MLflow // Xiangrui Meng // Coffee Sessions #112

MLOps.community Intermediate 3y ago

ML Fundamentals

Scratch? Python? C? Kernighan on Languages for Kids Coding - Computerphile

Computerphile Intermediate 3y ago

ML Fundamentals

History Of Machine Learning- Dicussing The Entire Timeline

Krish Naik Intermediate 3y ago

ML Fundamentals

Optimize Industrial Operations with Machine Learning and AI - AWS Online Tech Talks

AWS Developers Intermediate 3y ago

ML Fundamentals

Quickly prepare data for ML using Amazon SageMaker Data Wrangler - AWS Virtual Workshop

AWS Developers Intermediate 3y ago

ML Fundamentals

Microsoft is Accelerating the Future of Aerial Autonomy

Microsoft Research Intermediate 3y ago

ML Fundamentals

Conditional Ordinal Regression for Neural Networks (CORN) With Examples in PyTorch

Sebastian Raschka Intermediate 3y ago

ML Fundamentals

How to lie using visual proofs

3Blue1Brown Intermediate 3y ago

ML Fundamentals

Lecture 19: Differentiation Rules, Rolle's Theorem, and the Mean Value Theorem

MIT OpenCourseWare Intermediate 3y ago

ML Fundamentals

Lecture 16: The Min/Max Theorem and Bolzano's Intermediate Value Theorem

MIT OpenCourseWare Intermediate 3y ago

ML Fundamentals

Making MLFlow // Lead MLFlow Maintainer Corey Zumar // MLOps Coffee Sessions #103

MLOps.community Intermediate 3y ago

ML Fundamentals

#90 How Data Science is Transforming the Healthcare Industry (with Curren Katz)

DataCamp Intermediate 3y ago

ML Fundamentals

Democratic Machine Learning With Voting Classifiers

NeuralNine Intermediate 3y ago

ML Fundamentals

Build a Machine Learning App From Scratch with Flask & Docker

Patrick Loeber Intermediate 3y ago

ML Fundamentals

Johannes Otterbach — Unlocking ML for Traditional Companies

Weights & Biases Intermediate 3y ago

ML Fundamentals

Self-Driving Car with JavaScript Course – Neural Networks and Machine Learning

freeCodeCamp.org Intermediate 3y ago

ML Fundamentals

Transfer learning in JavaScript with TensorFlow.js

TensorFlow Intermediate 3y ago

ML Fundamentals

Technology in Education: How is GITAM using Coursera for Campus?

Coursera Intermediate 3y ago

ML Fundamentals

Climbing up the slope of enlightenment in AI and ML

Google for Developers Intermediate 3y ago

ML Fundamentals

#11 Machine Learning Engineering for Production (MLOps) Specialization [Course 1, Week 2, Lesson 3]

DeepLearningAI Intermediate 3y ago

ML Fundamentals

#12 Machine Learning Engineering for Production (MLOps) Specialization [Course 1, Week 2, Lesson 4]

DeepLearningAI Intermediate 3y ago

ML Fundamentals

How To Deploy Machine Learning Models Using Docker And Github Action In Heroku

Krish Naik Intermediate 3y ago

ML Fundamentals

Learn how to deploy Containerized applications in a hybrid cloud environment - AWS Online Tech Talks

AWS Developers Intermediate 3y ago

ML Fundamentals

Explain your ML models with Amazon SageMaker Clarify - AWS Online Tech Talks

AWS Developers Intermediate 3y ago

ML Fundamentals

Can We Have Multiple Constructors In Python?

Krish Naik Intermediate 3y ago

ML Fundamentals

Announcing Job Guaranteed Full Stack Javascript Web Developer @HiteshCodeLab |July 10th

Krish Naik Intermediate 3y ago

ML Fundamentals

Distributed ML training with PyTorch and Amazon SageMaker - AWS Virtual Workshop

AWS Developers Intermediate 3y ago

ML Fundamentals

Lecture 22: Fundamental Theorem of Calculus, Integration by Parts, and Change of Variable Formula

MIT OpenCourseWare Intermediate 3y ago

ML Fundamentals

Practical applications of intelligent document processing in lending and insurance claims processing

AWS Developers Intermediate 3y ago

ML Fundamentals

Building a Movie Recommendation System on Tecton with Snowflake // David Hershey //MLOps Meetup #102

MLOps.community Intermediate 3y ago

ML Fundamentals

Lecture 6: Photometric Stereo, Noise Gain, Error Amplification, Eigenvalues and Eigenvectors Review

MIT OpenCourseWare Intermediate 3y ago

ML Fundamentals

Announcing Data Science, ML,DL,AI Videos In Hindi @krishnaikhindi

Krish Naik Intermediate 3y ago

ML Fundamentals

Faster Data Preparation for Machine Learning with Data Wrangler - AWS Online Tech Talks

AWS Developers Intermediate 3y ago

ML Fundamentals

SageMaker Friday episode 3- Train large deep learning models with hundreds of billions of parameters

AWS Developers Intermediate 3y ago

ML Fundamentals

Deep Learning on AWS made simple - AWS Online Tech Talks

AWS Developers Intermediate 3y ago

ML Fundamentals

Building a data perimeter in AWS - AWS Online Tech Talks

AWS Developers Intermediate 3y ago

ML Fundamentals

Product fairness testing for Machine Learning developers

TensorFlow Intermediate 3y ago

ML Fundamentals

SageMaker Friday episode 2 - Low Code Machine Learning - AWS Online Tech Talks

AWS Developers Intermediate 3y ago

ML Fundamentals

3 Reasons Why Elon Musk Bought Twitter

Krish Naik Intermediate 3y ago

ML Fundamentals

Importance Of POC Projects For Data Science Transition

Krish Naik Intermediate 3y ago

ML Fundamentals

Best practices for protecting sensitive data in AWS with Amazon Macie - AWS Online Tech Talks

AWS Developers Intermediate 3y ago

ML Fundamentals

Improve your operations with computer vision at the edge, with AWS Panorama - AWS Online Tech Talks

AWS Developers Intermediate 3y ago

ML Fundamentals

#14 Machine Learning Engineering for Production (MLOps) Specialization [Course 1, Week 2, Lesson 6]

DeepLearningAI Intermediate 3y ago

ML Fundamentals

#15 Machine Learning Engineering for Production (MLOps) Specialization [Course 1, Week 2, Lesson 7]

DeepLearningAI Intermediate 3y ago

ML Fundamentals

#16 Machine Learning Engineering for Production (MLOps) Specialization [Course 1, Week 2, Lesson 8]

DeepLearningAI Intermediate 3y ago

ML Fundamentals

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

DeepLearningAI Intermediate 3y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Fundamentos de IA Aplicados ao CRM

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Machine Learning in Healthcare: Fundamentals & Applications

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Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Bahasa Indonesia

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Fraud Detection on Financial Transactions with Machine Learning on Google Cloud

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Customer Segmentation with K-Means: Model & Visualize

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Optimizing and Governing AI Systems

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Survival Analysis in R for Public Health

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Build a Machine Learning Image Classifier with Python

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Machine Learning with Small Data Part 1

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Foundational Mathematics for AI

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Machine Translation

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6G Vision: ML, Intelligent Surfaces & Optical Networks

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📚 Coursera Course ↗

Self-paced

Linear Algebra for ML and Analytics Training

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Introduction to Social Media Analytics

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Self-paced

Survey of Data Science

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Python Fundamentals: Apply Data Structures

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Specialized Models: Time Series and Survival Analysis

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Deploying Machine Learning Models

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