performance

Exploring Gradient Boosting vs Linear Regression: Selecting the Best Prediction Tool and Developing a Streamlit App Creating your project’s environment Using VSCode for data evaluation Data Treatment Data...

Hey there! I’m Ana, a knowledge enthusiast and a machine learning apprentice. Welcome to my first post on Medium, where I’ll be sharing my journey and insights into the exciting world of knowledge evaluation...

Boosting Machine Learning Performance With Rust The Forward Pass Error Calculation The Backward Pass The Training Loop Final Helper Functions Results and Opinions

where epsilon is the educational rate.That is where I exploit the Autograd functionality from LibTorch to acquire my gradients. In PyTorch, we normally apply the backward method on the loss to calculate the derivatives,...

Evaluate the Performance of Your ML/ AI Models 1. Split the dataset for higher evaluation. 2. Define your evaluation metrics. 3. Validate and tune the model’s hyperparameters. 4....

An accurate evaluation is the one solution to performance improvementValidating an AI/ ML model just isn't a linear process but more of an iterative one. You undergo the information split, the hyperparameters tuning, analyzing,...

The right way to Evaluate the Performance of Your ML/ AI Models

An accurate evaluation is the one approach to performance improvementValidating an AI/ ML model will not be a linear process but more of an iterative one. You undergo the information split, the hyperparameters tuning,...

Who will win IPL 2023?? Data Where is the code? 1. Data cleansing and formatting 2. Exploratory data evaluation 3. Feature engineering and selection 4. Compare several machine learning models...

IPL, one of the vital distinguished cricketing events on the earth with over 400 million viewers across the globe has proven to be certainly one of the mega-events.IPL 2023 is in full swing on...

Whisper JAX vs PyTorch: Uncovering the Truth about ASR Performance on GPUs Introduction PyTorch vs. JAX Constructing the ARS System that uses PyTorch or JAX Whisper JAX vs....

Deep Dive into Automatic Speech Recognition: Benchmarking Whisper JAX and PyTorch Implementations Across PlatformsOn this planet of Automatic Speech Recognition (ASR), speed and accuracy are of great importance. The dimensions of the information and...

Whisper JAX vs PyTorch: Uncovering the Truth about ASR Performance on GPUs

Deep Dive into Automatic Speech Recognition: Benchmarking Whisper JAX and PyTorch Implementations Across PlatformsOn the earth of Automatic Speech Recognition (ASR), speed and accuracy are of great importance. The dimensions of the info and...

Unlock the Power of Audio Data: Advanced Transcription and Diarization with Whisper, WhisperX, and PyAnnotate Introduction Whisper: A General-Purpose Speech Recognition Model PyAnnotate: Speaker Diarization Library WhisperX: Long-Form...

Streamline Audio Evaluation with State-of-the-Art Speech Recognition and Speaker Attribution TechnologiesIn our fast-paced world, we generate enormous amounts of audio data. Take into consideration your favorite podcast or conference calls at work. The information...

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