Newsletter
Signal
Weekly · free · ML signal, not noise
One takeaway, one industry read, one concept, and one coding challenge per week. Every issue stays archived here.
Signal archive
- 7 min read
Signal · Issue 12 · September 29, 2026
Neural Networks, Explained Simply (With Gems for Pros)
How a neural network works in plain English: neurons, layers, backprop, hidden layer sizing and batch size, with a gem in every section for experienced readers.
- 6 min read
Signal · Issue 11 · September 22, 2026
Object Detection Is Moving to the Edge. Learn It Now.
Object detection explained: IoU, NMS, mAP, YOLO vs Faster R-CNN, and why over half of new vision deployments run on edge devices. Build one this week.
- 6 min read
Signal · Issue 10 · September 17, 2026
Imitation Learning: How Robots Learn Jobs From 50 Demos
Imitation learning explained: behavior cloning, the DAgger problem, and how pi0 and ALOHA train robots from demos. Build one this week on GRADuateML.
- 6 min read
Signal · Issue 9 · September 9, 2026
Precision and Recall: The Metric Costing Banks Billions
Precision and recall explained with the formula, multiclass averaging, PR vs ROC curves, and a graded project that prices a 92% false-positive alert queue.
- 4 min read
Signal · Issue 8 · August 26, 2026
Cross-Entropy Is the Loss Behind Vision, Language, and Robot Policies
ResNet, GPT next-token training, YOLO class heads, and DeepMind RT-2 action tokens all optimize the same -log(p_correct). Learn the production form from logits.
- 5 min read
Signal · Issue 7 · August 18, 2026
Spiking Neural Networks Are Moving Next to the Sensor
Intel's Hala Point packs 1.15 billion neurons. Mercedes put an SNN on wake-word detection. The job is encoding real signals into spikes under a milliwatt budget.
- 5 min read
Signal · Issue 6 · August 11, 2026
Why Coding ML By Hand Still Beats AI Autocomplete
AI tools spit out sklearn scripts in seconds. Machine learning engineer jobs still pay for people who can write the training loop, catch leakage, and debug when the library path is lying.
- 4 min read
Signal · Issue 5 · August 4, 2026
Edge Computing for Robotics Is Where ML Careers Are Going
IDC sees edge spend racing toward $380B by 2028 while factories install half a million robots a year. The career edge is quantization and on-device deployment, not another cloud demo.
- 4 min read
Signal · Issue 4 · July 28, 2026
Statistics Is Having a Quiet Comeback in Machine Learning
AI hiring is surging while half of genAI projects get abandoned. The gap is measurement: calibration, uncertainty, and metrics that hold up outside a demo.
- 4 min read
Signal · Issue 3 · July 21, 2026
Synthetic Data Might Be the Most Valuable ML Skill You Can Learn
Gartner says data availability is blocking genAI adoption while synthetic data races toward $6.8B. Waymo's sim miles show why generating data, not just collecting it, is the career edge.
- 3 min read
Signal · Issue 2 · July 9, 2026
Digital Twins, Sensor Fusion, and the $245B Downtime Problem
Factories sit on unused sensor data while unplanned downtime costs $245B a year. Digital twinning and time-series ML are how engineers turn that gap into a career.
- 4 min read
Signal · Issue 1 · July 2, 2026
Why the Next Trillion Dollar AI Company Won't Be a Frontier Model
Enterprise AI infrastructure, not another frontier model, is where the next trillion-dollar company gets built. Here's how that maps to the skills employers want.