Writora

Gary Baker · 1w ago Member-only

From Zero to Confident: Training vs Inference Costs Explained Simply for Busy People

Skip the generic advice. This deep dive into Training vs inference costs covers what genuinely works in 2026, who it works for, and what to do first.

Gary Baker · 2w ago

Evaluating Models Honestly: What the Top 1% Do Differently — In Just 20 Minutes a Day

If ml ops has felt overwhelming, this guide breaks it into small, doable steps you can start today — with real examples and honest advice.

Gary Baker · 3w ago

Overfitting Explained with Cookies on a Budget: Maximum Progress, Minimum Spend

An operator’s manual for ml ops. Fundamentals first, tools second, shortcuts last — the order that actually compounds.

Gary Baker · 3w ago

What I Learned About Machine Learning in 2026: A Map After Years of Trial and Error for Busy People

The complete picture on training: a system you can sustain, a checklist you can print, and the pitfalls that cost most people months.

Gary Baker · 3w ago

Overfitting Explained with Cookies: The Only Guide You Need This Year That Actually Sticks

The complete picture on training: a system you can sustain, a checklist you can print, and the pitfalls that cost most people months.

Gary Baker · 3w ago

The Busy Person’s Shortcut to Real Evaluating Models Honestly Skills — No Hype, Just Process

Everything about Evaluating models honestly in one place: fundamentals, tools like Weights, common traps, and a plan you can actually follow.

Gary Baker · 4w ago

Deploying a Small Model: A Calm, Methodical System That Compounds

The complete picture on training: a system you can sustain, a checklist you can print, and the pitfalls that cost most people months.

Gary Baker · 4w ago

Overfitting Explained with Cookies: The Complete 2026 Guide, Backed by Firsthand Experience

The complete picture on models: a system you can sustain, a checklist you can print, and the pitfalls that cost most people months.

Gary Baker · 1mo ago

Your First 30 Days of Staying Current without Drowning: A Day-by-Day Plan — With Real Examples

Written for busy people: how to make real progress with Staying current without drowning in a few focused hours a week — plus the FAQ everyone asks.

Gary Baker · 1mo ago

Evaluating Models Honestly Without the Hype: A Realistic Guide — No Hype, Just Process

After testing nearly everything, here’s the honest version: what moved the needle in Evaluating models honestly, what was noise, and where Hugging Face fits in.

Gary Baker · 1mo ago

Deploying a Small Model Explained: From Basics to Breakthroughs That Actually Sticks

If models has felt overwhelming, this guide breaks it into small, doable steps you can start today — with real examples and honest advice.

Gary Baker · 1mo ago

Training vs Inference Costs: Everything You Wish You Knew Sooner — Without Spending a Dime

Skip the generic advice. This deep dive into Training vs inference costs covers what genuinely works in 2026, who it works for, and what to do first.

Gary Baker · 1mo ago

Machine Learning in 2026: A Map — How to Practice Deliberately, Not Just Often — Without Spending a Dime

An operator’s manual for machine learning. Fundamentals first, tools second, shortcuts last — the order that actually compounds.

Gary Baker · 1mo ago

Training vs Inference Costs Checklist: Everything to Get Right, In Order You Can Start This Weekend

Skip the generic advice. This deep dive into Training vs inference costs covers what genuinely works in 2026, who it works for, and what to do first.

Gary Baker · 1mo ago

Evaluating Models Honestly Without the Hype: A Realistic Guide That Actually Sticks

A clear, no-fluff walkthrough of python — the strategies, the mistakes to avoid, and the exact steps that move the needle this year.

Gary Baker · 2mo ago

Machine Learning in 2026: A Map in Practice: Three Real Scenarios, Three Outcomes for Busy People

After testing nearly everything, here’s the honest version: what moved the needle in Machine learning in 2026: a map, what was noise, and where scikit-learn fits in.

Gary Baker · 2mo ago

Machine Learning in 2026: A Map Demystified: Tools, Tactics and Real Examples You Can Start This Weekend

After testing nearly everything, here’s the honest version: what moved the needle in Machine learning in 2026: a map, what was noise, and where Weights fits in.

Gary Baker · 2mo ago

Staying Current without Drowning: The Questions You Should Be Asking — A Field-Tested Approach

After testing nearly everything, here’s the honest version: what moved the needle in Staying current without drowning, what was noise, and where scikit-learn fits in.

Gary Baker · 2mo ago

Feature Engineering Intuition Without Burnout: The Sustainable Approach — A Field-Tested Approach

The complete picture on models: a system you can sustain, a checklist you can print, and the pitfalls that cost most people months.

Gary Baker · 2mo ago

Stop Guessing: The Right Way to Approach Staying Current without Drowning — A Field-Tested Approach

An operator’s manual for models. Fundamentals first, tools second, shortcuts last — the order that actually compounds.

Gary Baker · 2mo ago

Your First Model This Weekend: Small Habits, Outsized Results — In Just 20 Minutes a Day

An operator’s manual for machine learning. Fundamentals first, tools second, shortcuts last — the order that actually compounds.

Gary Baker · 2mo ago Member-only

A Field Guide to Overfitting Explained with Cookies for People With Jobs, Backed by Firsthand Experience

The complete picture on python: a system you can sustain, a checklist you can print, and the pitfalls that cost most people months.

Gary Baker · 2mo ago

Your First Model This Weekend Without the Hype: A Realistic Guide That Actually Sticks

Everything about Your first model this weekend in one place: fundamentals, tools like Hugging Face, common traps, and a plan you can actually follow.

Gary Baker · 2mo ago Member-only

Mastering Feature Engineering Intuition: Strategies That Survive Real Life — With Real Examples

Everything about Feature engineering intuition in one place: fundamentals, tools like Hugging Face, common traps, and a plan you can actually follow.

Gary Baker · 3mo ago Member-only

The Minimalist’s Guide to Your First Model This Weekend — No Hype, Just Process

Everything about Your first model this weekend in one place: fundamentals, tools like Hugging Face, common traps, and a plan you can actually follow.

Gary Baker · 3mo ago

The Case for Slower, Better Your First Model This Weekend — In Just 20 Minutes a Day

After testing nearly everything, here’s the honest version: what moved the needle in Your first model this weekend, what was noise, and where Hugging Face fits in.

Gary Baker · 3mo ago

Staying Current without Drowning: A Step-by-Step System You Can Follow Today (Even If You’re Starting Late)

Everything about Staying current without drowning in one place: fundamentals, tools like Colab, common traps, and a plan you can actually follow.

Gary Baker · 3mo ago

Why Most People Stall at Feature Engineering Intuition — and the Fix (Even If You’re Starting Late)

After testing nearly everything, here’s the honest version: what moved the needle in Feature engineering intuition, what was noise, and where Weights fits in.

Gary Baker · 3mo ago Member-only

The Honest Guide to Evaluating Models Honestly — What Works in 2026 — In Just 20 Minutes a Day

Everything about Evaluating models honestly in one place: fundamentals, tools like scikit-learn, common traps, and a plan you can actually follow.

Gary Baker · 3mo ago

Everything I’d Do Differently If I Restarted Staying Current without Drowning Today (Even If You’re Starting Late)

Written for busy people: how to make real progress with Staying current without drowning in a few focused hours a week — plus the FAQ everyone asks.

Gary Baker · 3mo ago

The Case for Slower, Better Overfitting Explained with Cookies — A Field-Tested Approach

After testing nearly everything, here’s the honest version: what moved the needle in Overfitting explained with cookies, what was noise, and where Weights fits in.

Gary Baker · 3mo ago

The Case for Slower, Better Deploying a Small Model — A Field-Tested Approach

An operator’s manual for ml ops. Fundamentals first, tools second, shortcuts last — the order that actually compounds.

Gary Baker · 4mo ago

Feature Engineering Intuition: 7 Mistakes Almost Everyone Makes (Even If You’re Starting Late)

Written for busy people: how to make real progress with Feature engineering intuition in a few focused hours a week — plus the FAQ everyone asks.

Gary Baker · 4mo ago

Breaking Down Deploying a Small Model Into 15 Minutes a Day, Backed by Firsthand Experience

A clear, no-fluff walkthrough of machine learning — the strategies, the mistakes to avoid, and the exact steps that move the needle this year.

Gary Baker · 4mo ago

How to Master Feature Engineering Intuition in 2026 (Step-by-Step) — A Field-Tested Approach

An operator’s manual for training. Fundamentals first, tools second, shortcuts last — the order that actually compounds.

Gary Baker · 4mo ago

The Real Cost of Getting Machine Learning in 2026: A Map Wrong (and How to Get It Right) — Without Spending a Dime

A clear, no-fluff walkthrough of ml ops — the strategies, the mistakes to avoid, and the exact steps that move the needle this year.

Gary Baker · 4mo ago

Training vs Inference Costs: From Confused to Competent in One Month for Busy People

If python has felt overwhelming, this guide breaks it into small, doable steps you can start today — with real examples and honest advice.

Gary Baker · 4mo ago

Deploying a Small Model Made Simple: A Practical Walkthrough, Backed by Firsthand Experience

Skip the generic advice. This deep dive into Deploying a small model covers what genuinely works in 2026, who it works for, and what to do first.

Gary Baker · 5mo ago

The One-Weekend Plan to Understand Training vs Inference Costs — Without Spending a Dime

Written for busy people: how to make real progress with Training vs inference costs in a few focused hours a week — plus the FAQ everyone asks.

Gary Baker · 5mo ago

Your First Model This Weekend in 2026: What Actually Works (And What Doesn’t) — No Hype, Just Process

Skip the generic advice. This deep dive into Your first model this weekend covers what genuinely works in 2026, who it works for, and what to do first.

Gary Baker

🗓️ Publishing activity

Stories (40)

From Zero to Confident: Training vs Inference Costs Explained Simply for Busy People

Evaluating Models Honestly: What the Top 1% Do Differently — In Just 20 Minutes a Day

Overfitting Explained with Cookies on a Budget: Maximum Progress, Minimum Spend

What I Learned About Machine Learning in 2026: A Map After Years of Trial and Error for Busy People

Overfitting Explained with Cookies: The Only Guide You Need This Year That Actually Sticks

The Busy Person’s Shortcut to Real Evaluating Models Honestly Skills — No Hype, Just Process

Deploying a Small Model: A Calm, Methodical System That Compounds

Overfitting Explained with Cookies: The Complete 2026 Guide, Backed by Firsthand Experience

Your First 30 Days of Staying Current without Drowning: A Day-by-Day Plan — With Real Examples

Evaluating Models Honestly Without the Hype: A Realistic Guide — No Hype, Just Process

Deploying a Small Model Explained: From Basics to Breakthroughs That Actually Sticks

Training vs Inference Costs: Everything You Wish You Knew Sooner — Without Spending a Dime

Machine Learning in 2026: A Map — How to Practice Deliberately, Not Just Often — Without Spending a Dime

Training vs Inference Costs Checklist: Everything to Get Right, In Order You Can Start This Weekend

Evaluating Models Honestly Without the Hype: A Realistic Guide That Actually Sticks

Machine Learning in 2026: A Map in Practice: Three Real Scenarios, Three Outcomes for Busy People

Machine Learning in 2026: A Map Demystified: Tools, Tactics and Real Examples You Can Start This Weekend

Staying Current without Drowning: The Questions You Should Be Asking — A Field-Tested Approach

Feature Engineering Intuition Without Burnout: The Sustainable Approach — A Field-Tested Approach

Stop Guessing: The Right Way to Approach Staying Current without Drowning — A Field-Tested Approach

Your First Model This Weekend: Small Habits, Outsized Results — In Just 20 Minutes a Day

A Field Guide to Overfitting Explained with Cookies for People With Jobs, Backed by Firsthand Experience

Your First Model This Weekend Without the Hype: A Realistic Guide That Actually Sticks

Mastering Feature Engineering Intuition: Strategies That Survive Real Life — With Real Examples

The Minimalist’s Guide to Your First Model This Weekend — No Hype, Just Process

The Case for Slower, Better Your First Model This Weekend — In Just 20 Minutes a Day

Staying Current without Drowning: A Step-by-Step System You Can Follow Today (Even If You’re Starting Late)

Why Most People Stall at Feature Engineering Intuition — and the Fix (Even If You’re Starting Late)

The Honest Guide to Evaluating Models Honestly — What Works in 2026 — In Just 20 Minutes a Day

Everything I’d Do Differently If I Restarted Staying Current without Drowning Today (Even If You’re Starting Late)

The Case for Slower, Better Overfitting Explained with Cookies — A Field-Tested Approach

The Case for Slower, Better Deploying a Small Model — A Field-Tested Approach

Feature Engineering Intuition: 7 Mistakes Almost Everyone Makes (Even If You’re Starting Late)

Breaking Down Deploying a Small Model Into 15 Minutes a Day, Backed by Firsthand Experience

How to Master Feature Engineering Intuition in 2026 (Step-by-Step) — A Field-Tested Approach

The Real Cost of Getting Machine Learning in 2026: A Map Wrong (and How to Get It Right) — Without Spending a Dime

Training vs Inference Costs: From Confused to Competent in One Month for Busy People

Deploying a Small Model Made Simple: A Practical Walkthrough, Backed by Firsthand Experience

The One-Weekend Plan to Understand Training vs Inference Costs — Without Spending a Dime

Your First Model This Weekend in 2026: What Actually Works (And What Doesn’t) — No Hype, Just Process