4 Books That Bridge the Gap Between Machine Learning Theory and Implementation

Introduction A few years ago, I took over a demand forecasting model from a colleague who had left the company. The notebook ...
Frontiers

Benchmarking hyperparameter optimization strategies for crop genomic prediction

Genomic prediction has become an important approach for accelerating crop breeding by using genome-wide marker information to predict complex traits. However, the performance of genomic prediction ...
GitHub

Hyperparameter Tuning with Optuna

# This tutorial runs only 5 trials for fast execution. # Increase `n_trials` for production use. # **Key API references:** # [`HyperparameterTuner`](https://openstef ...
MarkTechPost

Inside NVIDIA’s IsaacTeleop: From Hand and Controller Tracking to Robot Actions with the Graph-Based Retargeting Engine

Explore NVIDIA IsaacTeleop tutorial to build a retargeting engine using NumPy for hand and controller robot action commands.
KDnuggets

SuperWhisper s1-mini: The 600M Parameter Model Built Just for Transcription

Superwhisper launched its S1 family on August 19, 2026, three proprietary models, S1-Voice, S1-Language, and S1-mini, this is ...