training

Dipam Vasani

How to be fancy with PythonPython tricks that will make your life easierCustomize your training loop with callbacksLearn how to incorporate state…

training, training looplearn, using fastailearn

How to Connect Model Input Data With Predictions for Machine Learning

Fitting a model to a training dataset is so easy today with libraries like scikit-learn. A model can be fit…

input, model, training

Big Models are Carbon Efficient if you Share Them

Recently, a research team at The University of Massachusetts Amherst led by Emma Strubell published a paper on the carbon…

language, processing, training

Training a Machine Learning Engineer

Once a clear understanding of the problem is established, design the architecture based on the theory youve learnt. I would…

based, learning, training

insideBIGDATA Guide to Optimized Storage for AI and Deep Learning Workloads – Part 3

Artificial Intelligence (AI) and Deep Learning (DL) represent some of the most demanding workloads in modern computing history as they…

faster, systems, training

6 Tips for Building a Training Data Strategy for Machine Learning

By Wilson Pang, CTO, Appen. Artificial intelligence (AI) and machine learning (ML) are frequently used terms these days. AI refers…

data, strategy, training

Types of Bias in Machine Learning

In one my previous posts I talke about the biases that are to be expected in machine learning and can…

bias, data, training

MLflow, TensorFlow, and an Open Source Show

This summer, I interned on the ML Platform team. I worked on MLflow, an open-source machine learning management framework. This…

function, tracking, training

How (Not) To Scale Deep Learning in 6 Easy Steps

However, there’s an important flaw. The final evaluation on the held-out 10% validation data shows that true accuracy is more…

learning, model, training

Predicting environmental carcinogens with logistic regression, knn, gradient boosting and molecular fingerprinting

Predicting environmental carcinogens with logistic regression, knn, gradient boosting and molecular fingerprintingBalancing imbalanced data, exploring accuracy metrics, and an introduction…

data, points, training

A Brief History of Training Data

A Brief History of Training DataRobert MunroBlockedUnblockFollowFollowingJul 3A old friend, Aman Naimat, recently hosted a conference that brought together people with…

data, machine, training

Python Tutorial For Researchers Who use R

Python Tutorial For Researchers Who use RInstallation, Loading Data, Visualization, Linear Regression, Rpy2Jun WuBlockedUnblockFollowFollowingJul 2@wwarby unsplash. comThis tutorial is aimed at…

data, test, training

Fashion product image classification using Neural Networks | Machine Learning from Scratch (Part VI)

The prediction is correct!Classifying ImagesBuilding a Neural NetworkOur Neural Network will have only 1 hidden layer. We will implement a somewhat…

network, neural, training

A Beginner’s Guide to Rasa NLU for Intent Classification and Named-entity Recognition

A Beginner’s Guide to Rasa NLU for Intent Classification and Named-entity RecognitionNg Wai FoongBlockedUnblockFollowFollowingJun 27Image taken from https://givemechallenge. com/wp-content/uploads/2017/01/rasa-NLU. pngThe…

data, rasa, training

3 Musts For Building Data Literacy

3 Musts For Building Data LiteracyPiyanka JainBlockedUnblockFollowFollowingJun 26A few months into his new role as Data Analytics leader, Alan and his…

analytics, data, training

What is Out of Bag (OOB) score in Random Forest?

What is Out of Bag (OOB) score in Random Forest?Navnina bhatiaBlockedUnblockFollowFollowingJun 26This blog attempts to explain the internal functioning of oob_score…

data, score, training

What Are Overfitting and Underfitting in Machine Learning?

What Are Overfitting and Underfitting in Machine Learning?Anas Al-MasriBlockedUnblockFollowFollowingJun 21As you enter the realm of Machine Learning, several ambiguous terms…

learning, model, training

Training Data, What is it? Who’s doing it?

Or is Mturk more of a platform for training those A. I. s?Better Understanding with insight on A. I. and…

data, desirable., training

Fine tuning for image classification using Pytorch

I’m a tf/keras fan but the number of models covered by tf/keras is quite low whereas in pytorch you can…

data, need, training

Text Classification in Python

We have to ask ourselves these questions if we want to succeed at bringing a machine learning-based service to our…

learning, model, training

AutoML — A Tool to Improve Your Workflow

Photo by Alex Knight on UnsplashAutoML — A Tool to Improve Your WorkflowA look at H2O AutoML in binary classificationTom AllportBlockedUnblockFollowFollowingJun 11Recently, the upsurge…

best, model, training

Diving into Google’s Landmark Recognition Kaggle Competition

{} ;This step effectively reduces the 500+ gigabyte training set to ~50 gigabytes. Much more usable. More importantly, I already…

images, large, training

A Simple Introduction to K-Nearest Neighbors Algorithm

A Simple Introduction to K-Nearest Neighbors AlgorithmDhilip SubramanianBlockedUnblockFollowFollowingJun 8What is KNN?K Nearest Neighbour is a simple algorithm that stores all the…

data, dataset, training

Beginner’s Guide to Building Neural Networks in TensorFlow

Beginner’s Guide to Building Neural Networks in TensorFlowDetailed Walkthrough of the TensorFlow 2. 0 Beginner NotebookEvan HeitmanBlockedUnblockFollowFollowingJun 5If you’re reading this…

layer, model, training

Let us get in on the basics of machine learning

Let us get in on the basics of machine learningDinuka ArseculeratneBlockedUnblockFollowFollowingJun 6It is always good to get in the basics when…

learning, model, training