The ML / AI track.

Machine learning, deep learning, neural networks, scikit-learn, TensorFlow and PyTorch. Built as a curriculum — 9 chapters, recommended spine if you're new, side-quests when you're ready.

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CURRICULUM

9 chapters · 108 topics

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ML Basics

SPINEBeginner

25 topics · ~2h 55m · 0/25 read

Introduction to Machine Learning Supervised vs Unsupervised Learning ML Workflow — Data to Deployment Overfitting and Underfitting Train Test Split and Cross Validation+20 more

Algorithms

SPINEIntermediate

14 topics · ~1h 38m · 0/14 read

Linear Regression Logistic Regression Decision Trees Random Forest Algorithm Explained Support Vector Machine+9 more

Deep Learning

SPINEAdvanced

15 topics · ~1h 45m · 0/15 read

What is a Neural Network? Explained Simply Activation Functions in Neural Networks Backpropagation Explained Convolutional Neural Networks Recurrent Neural Networks and LSTM+10 more

Tools

SPINEIntermediate

12 topics · ~1h 24m · 0/12 read

scikit-learn Tutorial TensorFlow Basics PyTorch Basics Keras for Deep Learning Jupyter Notebook Guide+7 more

NLP

SPINEIntermediate

8 topics · ~56m · 0/8 read

Natural Language Processing (NLP) Explained Text Preprocessing in NLP Word Embeddings — Word2Vec GloVe Sentiment Analysis Named Entity Recognition+3 more

MLOps

Advanced

9 topics · ~1h 3m · 0/9 read

Introduction to MLOps Model Deployment with Flask ML Model Evaluation Metrics A/B Testing in ML Docker for ML Models+4 more

TensorFlow & Keras

Intermediate

10 topics · ~1h 10m · 0/10 read

Introduction to TensorFlow TensorFlow vs PyTorch — Which to Learn First Introduction to Keras Building Your First Neural Network with Keras Keras Sequential vs Functional API+5 more

Scikit-Learn

Beginner

8 topics · ~56m · 0/8 read

Introduction to Scikit-Learn Scikit-Learn Pipeline Explained Train Test Split and Cross Validation in Scikit-Learn Linear Regression with Scikit-Learn Classification with Scikit-Learn+3 more

PyTorch

Intermediate

7 topics · ~49m · 0/7 read

Introduction to PyTorch PyTorch Tensors Explained Building a Neural Network in PyTorch Autograd and Backpropagation in PyTorch Training Loop in PyTorch Explained+2 more