ML Fundamentals

Data Science & Statistics: Matrix recycling in R

Data frames in R - Transforming data PART I

Code that looks cool | Hollywood code | Saving and running programs quick promo

Neural Network Prototyping On the Go

Getting and setting data on a web page with JavaScript | Coding tutorial

Machine Learning Fundamentals: Cross Validation

Geoffrey Hinton: What are you excited about in deep learning?

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Using the tf.data API to build input pipelines (TensorFlow Meets)

Complex Math Results - Unconventional Neural Networks p.12

More Complex Math with Deep Learning - Unconventional Neural Networks p.11

Teaching TensorFlow for Deep Learning at Stanford University (TensorFlow Meets)

Moonlight: Crash Course Film Criticism #13

Univa's Project Tortuga and the Intersections of Kubernetes and HPC Workloads

deeplearning.ai's Heroes of Deep Learning: Yann LeCun

TensorFlow.js Quick Start

Systems and Software for Machine Learning at Scale with Jeff Dean - #124

Data frames in R - Import a CSV in R

Data frames in R - Exporting data in R

Data Frames in R - Subsetting a data frame

Data Science & Statistics: Matrix arithmetic in R

Data Science & Statistics: Indexing an element from a matrix

Data Frames in R - Extending a data frame

Data Science & Statistics: Creating a matrix in R FASTER

Data Science & Statistics: Creating a Matrix in R

Data frames - Importing data in R

Learnable parameters ("trainable params") in a Keras model

Learnable Parameters in an Artificial Neural Network explained

Saving and running programs explained | Hello world for programming beginners (Part 2)

Hello world explained | First interactive program for programming beginners (Part 1)

Initializing and Accessing Bias with Keras

Bias in an Artificial Neural Network explained | How bias impacts training

Command line interfaces explained | Introducing CLIs for programming beginners

Doing Math with Deep Learning (Addition)- Unconventional Neural Networks p.10

Deep Dream Video- Unconventional Neural Networks p.9

Deep Dream Frames- Unconventional Neural Networks p.8

365 Data Science Online Program

Numerical data explained | Introducing digits, range and precision for programming beginners

Deep Dream - Unconventional Neural Networks p.7

Jeff Dean, Head of AI at Google discusses the impact of ML (TensorFlow Meets)

TensorFlow Dev Summit 2018 Highlights

Drawing a Number by Request with Generative Model - Unconventional Neural Networks p.6

Classification Generator Testing Attempt - Unconventional Neural Networks p.5

Classification Generator Training Attempt - Unconventional Neural Networks p.4

Generating with MNIST - Unconventional Neural Networks p.3

Textual data explained | Introducing characters, strings, and encodings for programming beginners

Generating Pythonic code with Neural Network - Unconventional Neural Networks p.2

Generative Model Basics - Unconventional Neural Networks p.1