📐 ML Fundamentals

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

ML Fundamentals

K Nearest Neighbor classification with Intuition and practical solution

Krish Naik Intermediate 7y ago

ML Fundamentals

Why Google Cloud? - How Google does Machine Learning from Google Cloud #4

Coursera Intermediate 7y ago

ML Fundamentals

Why Google? - How Google does Machine Learning from Google Cloud #3

Coursera Intermediate 7y ago

ML Fundamentals

GridSearchCV- Select the best hyperparameter for any Classification Model

Krish Naik Intermediate 7y ago

ML Fundamentals

Prepare su conjunto de datos para el aprendizaje automático - Episodio 2

TensorFlow Intermediate 7y ago

ML Fundamentals

How Secure Shell Works (SSH) - Computerphile

Computerphile Intermediate 7y ago

ML Fundamentals

Hickory Rumble 2

Jeff Heaton Intermediate 7y ago

ML Fundamentals

Spinning Black Holes

Veritasium Intermediate 7y ago

ML Fundamentals

X & the Book Code - Computerphile

Computerphile Intermediate 7y ago

ML Fundamentals

Deep learning for fundamental sciences using high-performance computing (O’Reilly AI Conference)

TensorFlow Intermediate 7y ago

ML Fundamentals

a16z Podcast | Holy Non Sequiturs, Batman: What Disruption Theory Is ... and Isn't

a16z Intermediate 7y ago

ML Fundamentals

Advanced Flutter Project - Third BLoC, StreamControllers and Periodic Observables - Part Six

Tensor Programming Intermediate 7y ago

ML Fundamentals

Advanced Flutter Project - Filtering Contributions and Building Aesthetics - Part Five

Tensor Programming Intermediate 7y ago

ML Fundamentals

But why is a sphere's surface area four times its shadow?

3Blue1Brown Intermediate 7y ago

ML Fundamentals

Five Firsts for Mars InSight

Veritasium Intermediate 7y ago

ML Fundamentals

Specialization Agenda - How Google does Machine Learning from Google Cloud #2

Coursera Intermediate 7y ago

ML Fundamentals

January 30, 2019 - MCIT Online Admissions Webinar with Chris Murphy

Coursera Intermediate 7y ago

ML Fundamentals

Precision, Recall and F1-Score

Krish Naik Intermediate 7y ago

ML Fundamentals

Natural Language Processing|Lemmatization

Krish Naik Intermediate 7y ago

ML Fundamentals

Error Correction & International Book Codes - Computerphile

Computerphile Intermediate 7y ago

ML Fundamentals

Additional Processors - Computerphile

Computerphile Intermediate 7y ago

ML Fundamentals

Separable Filters and a Bauble - Computerphile

Computerphile Intermediate 7y ago

ML Fundamentals

What's your Favourite Programming Language? (sound check Q) - Computerphile

Computerphile Intermediate 7y ago

ML Fundamentals

Advanced Flutter Project - Adding Fonts and Fuzzy Timestamps - Part Four

Tensor Programming Intermediate 7y ago

ML Fundamentals

Multithreading Code - Computerphile

Computerphile Intermediate 7y ago

ML Fundamentals

Flutter Best Practices - Building a Generic BLoC Provider - Advanced Flutter Project Part Three

Tensor Programming Intermediate 7y ago

ML Fundamentals

TensorFlow high-level APIs: Part 2 - going deep on data and features

TensorFlow Intermediate 7y ago

ML Fundamentals

Multiple Processor Systems - Computerphile

Computerphile Intermediate 7y ago

ML Fundamentals

Advanced Flutter Project - Adding a Second BloC - Part Two

Tensor Programming Intermediate 7y ago

ML Fundamentals

Deep Learning Specialization by deeplearning.ai — Trailer

Coursera Intermediate 7y ago

ML Fundamentals

TensorFlow high-level APIs: Part 1 - loading data

TensorFlow Intermediate 7y ago

ML Fundamentals

MapReduce - Computerphile

Computerphile Intermediate 7y ago

ML Fundamentals

Machine Learning with Tensorflow on Google Cloud Platform Specialization — Trailer

Coursera Intermediate 7y ago

ML Fundamentals

Data Science Specialization by Johns Hopkins University - Trailer

Coursera Intermediate 7y ago

ML Fundamentals

BEAST & The GPU Cluster - Computerphile

Computerphile Intermediate 7y ago

ML Fundamentals

Basic Modeling for Discrete Optimization - Module 1 Summary by The University of Melbourne #8

Coursera Intermediate 7y ago

ML Fundamentals

Basic Modeling for Discrete Optimization - Global Constraints by The University of Melbourne #7

Coursera Intermediate 7y ago

ML Fundamentals

Basic Modeling for Discrete Optimization - Arrays and Comprehensions by University of Melbourne #6

Coursera Intermediate 7y ago

ML Fundamentals

Basic Modeling for Discrete Optimization - Modeling Objects by The University of Melbourne #5

Coursera Intermediate 7y ago

ML Fundamentals

Basic Modeling for Discrete Optimization - Models and Instances by The University of Melbourne #4

Coursera Intermediate 7y ago

ML Fundamentals

Basic Modeling for Discrete Optimization - Third Model by The University of Melbourne #3

Coursera Intermediate 7y ago

ML Fundamentals

Basic Modeling for Discrete Optimization - Second Model by The University of Melbourne #2

Coursera Intermediate 7y ago

ML Fundamentals

Basic Modeling for Discrete Optimization - First Steps by The University of Melbourne #1

Coursera Intermediate 7y ago

ML Fundamentals

Basic Modeling for Discrete Optimization - Welcome to Basic Modeling by The University of Melbourne

Coursera Intermediate 7y ago

ML Fundamentals

TensorFlow AutoGraph (TensorFlow @ O’Reilly AI Conference, San Francisco '18)

TensorFlow Intermediate 7y ago

ML Fundamentals

The kg is dead, long live the kg

Veritasium Intermediate 7y ago

ML Fundamentals

What's Behind Port Smash? - Computerphile

Computerphile Intermediate 7y ago

ML Fundamentals

IBM Blockchain Foundation for Developers - Why blockchain is relevant for business by IBM #3

Coursera Intermediate 7y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Discrete Math for Computer Science - Counting & Probability

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Self-paced

Analytic Combinatorics

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Self-paced

Identify Damaged Car Parts with Vertex AutoML Vision

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📚 Coursera Course ↗

Self-paced

Secure AI Interpret and Protect Models

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📚 Coursera Course ↗

Self-paced

Fundamental MATLAB Programming for AI

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Self-paced

Introduction to RNN and DNN

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Self-paced

Recommender Systems: An Applied Approach using Deep Learning

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Self-paced

AI for Business Leaders

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Self-paced

Create Image Captioning Models

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Self-paced

Interpretable Machine Learning Applications: Part 4

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📚 Coursera Course ↗

Self-paced

Deep learning in Electronic Health Records - CDSS 2

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📚 Coursera Course ↗

Self-paced

Aligning Business Strategy for AI Integration

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📚 Coursera Course ↗

Self-paced

Master Decision Trees in R: Build, Predict & Evaluate

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📚 Coursera Course ↗

Self-paced

Machine Learning with PySpark

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📚 Coursera Course ↗

Self-paced

Generative Deep Learning with TensorFlow

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📚 Coursera Course ↗

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Introduction to Image Generation - Italiano

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📚 Coursera Course ↗

Self-paced

Física: Vectores, Trabajo y Energía

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📚 Coursera Course ↗

Self-paced

GenAI for Fraud Detection and Compliance

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