📐 ML Fundamentals

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

ML Fundamentals

Separable Filters and a Bauble - Computerphile

Computerphile Intermediate 7y ago

ML Fundamentals

TF Machine Learning for Programmers (TensorFlow @ O’Reilly AI Conference, San Francisco '18)

TensorFlow Beginner 7y ago

ML Fundamentals

Drug Discovery with Machine Learning

Data Skeptic Advanced 7y ago

ML Fundamentals

Training a Deep Q-Network with Fixed Q-targets - Reinforcement Learning

deeplizard Beginner 7y ago

ML Fundamentals

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

Tensor Programming Intermediate 7y ago

ML Fundamentals

How to Get a Data Science Internship | Essential Tips for People Starting a Career in Data Science

365 Data Science Beginner 7y ago

ML Fundamentals

Conclusion - Deep Learning in Halite AI competition p.8

sentdex Beginner 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

Designing Computer Systems for Software with Kunle Olukotun - TWiML Talk #211

The TWIML AI Podcast with Sam Charrington Beginner 7y ago

ML Fundamentals

Analyzing model improvements - Deep Learning in Halite AI competition p.7

sentdex Beginner 7y ago

ML Fundamentals

TensorFlow Extended (TFX) & Hub (TensorFlow @ O’Reilly AI Conference, San Francisco '18)

TensorFlow Beginner 7y ago

ML Fundamentals

Neural Networks: Crash Course Statistics #41

CrashCourse Beginner 7y ago

ML Fundamentals

9. Hybrid LSTMs [Long Short-Term Memory]

Weights & Biases Beginner 7y ago

ML Fundamentals

How To Wake Up Smarter - Learning How To Learn for Youth by ASU #5

Coursera Beginner 7y ago

ML Fundamentals

Fun with Space Aliens - Learning How To Learn for Youth by ASU #4

Coursera Beginner 7y ago

ML Fundamentals

Python tutorial 1: How to Install Python 3 on Windows 10 in 2019 by Manish Sharma

Manish Sharma Beginner 7y ago

ML Fundamentals

8. Text Classification Using Convolutional Neural Networks

Weights & Biases Beginner 7y ago

ML Fundamentals

LSTM Networks - EXPLAINED!

CodeEmporium Advanced 7y ago

ML Fundamentals

CNN Layers - PyTorch Deep Neural Network Architecture

deeplizard Beginner 7y ago

ML Fundamentals

A History of Crash Course

CrashCourse Beginner 7y ago

ML Fundamentals

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

3Blue1Brown Intermediate 7y ago

ML Fundamentals

My First Machine Learning Project (Tensorflow Deep-Learning)

Tech With Tim Beginner 7y ago

ML Fundamentals

5000 Subscribers - Thank You

Tech With Tim Beginner 7y ago

ML Fundamentals

TWed Talk: Neha Keshan on "Stress and Machine Learning"

Tetherless World Beginner 7y ago

ML Fundamentals

Multithreading Code - Computerphile

Computerphile Intermediate 7y ago

ML Fundamentals

Running with Trained Model - Deep Learning in Halite AI competition p.6

sentdex Beginner 7y ago

ML Fundamentals

Apache Spark - Computerphile

Computerphile Beginner 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

Broadening Your Passions - Learning How To Learn for Youth by ASU #3

Coursera Beginner 7y ago

ML Fundamentals

Using a Tomato to Avoid Putting Things Off - Learning How To Learn for Youth by ASU #2

Coursera Beginner 7y ago

ML Fundamentals

Why Trying Too Hard Can Sometimes Be a Problem - Learning How To Learn for Youth by ASU #1

Coursera Beginner 7y ago

ML Fundamentals

7 Questions with Yale's Nobel Laureate Robert Shiller

Coursera Beginner 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

Advanced Flutter Project - Setting Up the Basics - Part One

Tensor Programming Beginner 7y ago

ML Fundamentals

Deep Learning Specialization by deeplearning.ai — Trailer

Coursera Intermediate 7y ago

ML Fundamentals

Training Model - Deep Learning in Halite AI competition p.5

sentdex Beginner 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

Training a Deep Q-Network - Reinforcement Learning

deeplizard Beginner 7y ago

ML Fundamentals

Coding Tensorflow en Español - Episodio 1

TensorFlow Beginner 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

Checking out Data - Deep Learning in Halite AI competition p.4

sentdex Beginner 7y ago

ML Fundamentals

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

TensorFlow Beginner 7y ago

ML Fundamentals

BEAST & The GPU Cluster - Computerphile

Computerphile Intermediate 7y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Automate, Optimize, and Monitor ML Models

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Python Basics: Create a Guessing Number Game from Scratch

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AI for Knowledge Workers

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Validate and Explain Your ML Models

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Physics 102 - Electric Charges and Fields

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Self-paced

Optimizing AI Workflows and Deploying Edge Models

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Self-paced

Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Português Brasileiro

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Teaching Impacts of Technology: Data Collection, Use, and Privacy

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Smart Analytics, Machine Learning, and AI on GCP en Español

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Evaluate Vision Errors: Identify Failure Patterns

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Algorithmic Thinking (Part 1)

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Deep Learning with Keras and Practical Applications

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Train Machine Learning Models

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Applied Machine Learning in Python

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Advanced Generative Adversarial Networks (GANs)

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DevOps and AI on AWS: AIOps

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Self-paced

Apply SOLID Design to Optimize Java ML

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Self-paced

Build Better Generative Adversarial Networks (GANs)

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