Dr. Jon Krohn

Unofficial, machine-generated summaries, as of 2026-11-09.

↗840: Delicate Viticultural Robotics — with Jon Krohn (@JonKrohnLearns)
↗How to Negotiate a Higher Salary
↗Why SQL Is Critical for Any Data Analyst or Data Scientist
↗839: Double Your Data Salary in 11 Months — with @JessRamosData
↗How to Succeed at Your Side Hustle While Working Full-Time
↗Video Is Becoming a Key Part of a Professional Portfolio
↗How Wall Street Is "Reaping The Brains" of Silicon Valley
↗838: Consciousness and Machines — with Jennifer K. Hill
↗Technical Skills Alone No Longer Cut It In Technical Roles
↗AI's Impact on Global Talent Search & Recruitment
↗837: Career Success in the AI Era — with Deepali Vyas
↗AI Is Causing a Human Existential Crisis
↗Machines Will Be Better Scientists Than Humans (And Soon!)
↗Unified AI Models Capture Meaning Across All Modalities
↗836: How to Become Happier — with Dr. Nat Ware
↗You.com's Agents Do Complex Research for You Automatically
↗Automated LLM Prompt Optimization with You.com
↗835: AI Systems as Productivity Engines — with You.com’s Bryan McCann
↗You're Listening to the Wrong People About AI
↗Why the UK Has Fallen Behind in AI
↗The 10 Reasons AI Projects Fail
↗834: In Case You Missed It in October 2024 — with Jon Krohn (@JonKrohnLearns)
↗Is Statistics Useful for Machine Learning Practitioners?
↗Should You Lead as a Dictator or a Democrat?
↗833: The 10 Reasons AI Projects Fail — with Dr. Martin Goodson
↗Personal Automation with Generative AI is Nearly Here
↗When Small Language Models Excel Over LLMs
↗832: The Anthropic CEO’s Techno-Utopia — with Jon Krohn (@JonKrohnLearns)
↗Thunder Compiler Makes PyTorch Programs Faster
↗Lightning AI Makes Developing AI Systems Fast and Easy
↗831: PyTorch Lightning, Lit-Serve and Lightning Studios — with Dr. Luca Antiga
↗A Clinical Application of Theoretical Neuroscience
↗The Challenge of Challenging the Well-Established Science Dogmas
↗How Theoretical Neuroscience Research is Carried Out Today
↗830: The “A.I.” Nobel Prizes (in Physics and Chemistry??) — with Jon Krohn (@JonKrohnLearns)
↗How Data Science Lets Us Understand the Brain
↗This Neuroscience Breakthrough Could Unleash Next-Gen AI
↗829: Neuroscience Fueled by ML — with Prof. Bradley Voytek
↗Bypassing Moore's Law With Multithreaded Code
↗Polars Eager API and Lazy API
↗Polars + Arrow = Highly Optimized Data Processing
↗828: Are “Citizen Data Scientists” A Myth? — with Keith McCormick
↗How Polars Was Created Using Rust (From Scratch)
↗The Secret to Polars' Ultra-Fast DataFrame Operations
↗827: Polars: Past, Present and Future — with Polars Creator Ritchie Vink
↗How Data Debt Turns Into a Spaghetti Data Architecture
↗Poor Data Quality Is a Cultural Problem (Not a Technical One)
↗"Shift Left": The Hot New Data Paradigm
↗826: In Case You Missed It in September 2024 — with Jon Krohn (@JonKrohnLearns)
↗The Three Stages of Data Management Maturity
↗Data Contracts: What Are They? Why Are They Essential?
↗825: Data Contracts: The Key to Data Quality — with Chad Sanderson
↗Virtual Human vs Deepfake: What's the Difference?
↗The Dangers of AI Avatars
↗824: Llama 3.2: Open-Source Edge and Multimodal LLMs — with Jon Krohn (@JonKrohnLearns)
↗How Can AI Avatars Help Humans?
↗The Dawn of New, Virtual Beings: How Are They Made?
↗823: Virtual Humans and AI Clones — with Natalie Monbiot
↗Data Science is Overwhelming. Here's How to Stay Sane.
↗The Specialized Skills Data Scientists Benefit From Most
↗822: NotebookLM: Jaw-Dropping Podcast Episodes Generated About Your Documents — with Jon Krohn
↗The 5 Essential "Soft" Skills for Data Scientists
↗The 4 Essential Technical Skills for Data Scientists
↗821: The Skills You Need to Be an Effective Data Scientist — with Marck Vaisman
↗Build Your Resume from Zero to Hero
↗Top Tips for Better ML Models (More Accurate and Efficient)
↗Using Tensors in Training a Machine Learning Model
↗820: OpenAI's o1 "Strawberry" Models — with Jon Krohn (@JonKrohnLearns)
↗Tensors: The Fundamental Atoms of PyTorch
↗Why Choose PyTorch Over TensorFlow or Scikit-learn?
↗819: PyTorch: From Zero to Hero — with Luka Anicin
↗AI As a Tutor: A Force for Good or a Threat to Students?
↗Stop Using Lists of Stop Words for NLP! (Here are Superior Alternatives)
↗Non-LLM Approaches are Usually Still Better for NLP
↗818: In Case You Missed It in August 2024 — with Jon Krohn (@JonKrohnLearns)
↗Vetiver: A Framework for MLOps Tasks In Python and R
↗Positron: An IDE Specialized For Data Science
↗817: The Positron IDE, Tidy NLP and MLOps — with Dr. @JuliaSilge
↗How to Improve Gender Diversity in Open-Source Programming
↗Altair: A New Kid On The "Plot"
↗Narwhals: For Pandas-to-Polars DataFrame Compatibility
↗816: Explaining AGI to a 94-Year-Old — with Annie P.
↗You Should Be Using Polars for DataFrames
↗Rust: A Uniquely Beautiful Programming Language
↗815: Polars: Faster DataFrame Ops — with Marco Gorelli
↗Mathematical Optimization: Its History and Rise to Popularity
↗NP Hard Problems Are No Longer Unsolvable
↗Mathematical Optimization: When LLMs Can Help You... and When They Can't
↗814: Summer Reflections — with Jon Krohn (@JonKrohnLearns)
↗Mathematical Optimization: How to Start Today
↗Why Does Mathematical Optimization Excel at Modeling Commercial Decisions?
↗813: Solving Business Problems Optimally with Data — with Jerry Yurchisin
↗How This Rookie Entrepreneur Raised $228 Million
↗Is Scala or Python Better for Enterprise Software?
↗Most Businesses are Approaching AI Backwards
↗812: The AI Scientist: Towards Fully Automated, Open-Ended Scientific Discovery — with Jon Krohn
↗GenAI is Drowning Out (More Valuable!) Machine Learning
↗The 3 Things Enterprises Need for Data Science at Scale
↗811: Scaling Data Science Teams Effectively — with Nick Elprin
↗The Commercial Opportunities of Agentic AI