Machine Learning Guide

MLA 015 SageMaker 1

MLA 014 Machine Learning Server

MLA 013 Customer Facing Tech Stack

MLA 012 Docker

MLG 032 Cartesian Similarity Metrics

MLA 011 Practical Clustering

MLA 010 NLP packages: transformers, spaCy, Gensim, NLTK

MLA 009 Charting tools

MLA 008 Exploratory Data Analysis

MLA 007 Jupyter Notebooks

This Machine Learning Guide podcast episode focuses on Jupyter Notebooks, explaining their use in creating shareable, visual narratives of machine learning projects. The speaker details how Jupyter Notebooks allow users to execute code in cells, display outputs directly beneath each code block, and incorporate markdow...

MLA 006 Salary

MLA 005 Shapes & Sizes

MLA 003 Storage: HDF, Pickle, Postgres

MLA 002 Numpy & Pandas

MLA 001 Certificates & Degrees

MLG 029 Reinforcement Learning Intro

This podcast episode explores the concept of reinforcement learning (RL) as a crucial component of machine learning and artificial intelligence. RL involves training an agent in an environment through trial and error, without labeled data, by receiving rewards or punishments for its actions. Unlike supervised learning,...

MLG 028 Hyperparameters 2

This podcast episode explores various techniques and concepts related to hyperparameter optimization, regularization, dropout, optimizers, and feature scaling in machine learning. It covers grid search, random search, and Bayesian optimization as hyperparameter optimization techniques. The differences between grid sear...

MLG 027 Hyperparameters 1

This podcast episode explores the concept of hyperparameters in machine learning and their importance in model selection and performance. It discusses the transformative impact of neural networks in subsuming hyperparameters into the model, eliminating the need for manual feature engineering and model selection. The ep...

MLG 026 Project Bitcoin Trader

MLG 025 Convolutional Neural Networks

This Machine Learning Guide podcast episode (Episode 25) focuses on explaining Convolutional Neural Networks (ConvNets or CNNs), a deep learning technique primarily used for image recognition. The host begins by contrasting ConvNets with Multi-Layer Perceptrons (MLPs), highlighting the inefficiency of MLPs for image p...