Python Tutorial For Researchers Who use RInstallation, Loading Data, Visualization, Linear Regression, Rpy2Jun WuBlockedUnblockFollowFollowingJul 2@wwarby unsplash. comThis tutorial is aimed at…
Continue Readingtraining
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…
Continue ReadingA 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…
Continue Reading3 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…
Continue ReadingWhat 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…
Continue ReadingWhat 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…
Continue ReadingTraining 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…
Continue ReadingFine 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…
Continue ReadingText Classification in Python
We have to ask ourselves these questions if we want to succeed at bringing a machine learning-based service to our…
Continue ReadingAutoML — 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…
Continue ReadingDiving 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…
Continue ReadingA 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…
Continue ReadingBeginner’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…
Continue ReadingLet 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…
Continue ReadingTime Series Prediction for Stock Markets
Unfortunately, in the real world, this is not quite that simple. Unlike a sinewave, a stock market time series is…
Continue ReadingProject: Population-Based Training for Machine Translation with different metaheuristic algorithms
Project: Population-Based Training for Machine Translation with different metaheuristic algorithmsYevheniia KryvenkoBlockedUnblockFollowFollowingMay 28Authors: O. Matsuk, Y. Kryvenko, D. GrygorianBuilding an optimal…
Continue ReadingEnd to End Recipe Cuisine Classification
Will the ML do better than 76% (a Dummy classifier where every recipe is classified as Italian)Multinomial Naive BayesUsing Multinomial Naive…
Continue ReadingUsing Random Forest to tell if you have a representative Validation Set
Well, all it really means is that your training and validation data sets are similar, i. e. follow the same…
Continue ReadingBasic Principles to Create a Time Series Forecast
Basic Principles to Create a Time Series ForecastExplaining the basics steps to create time series forecasts. Leandro RabeloBlockedUnblockFollowFollowingMay 28Photo by Adrian…
Continue ReadingSurvey: 96% of Enterprises Encounter Training Data Quality and Labeling Challenges in Machine Learning Projects
IDC predicts worldwide spending on artificial intelligence (AI) systems will reach $35. 8 billion in 2019, and 84% of enterprises…
Continue ReadingLearning Analytics
Learning AnalyticsSambit DasBlockedUnblockFollowFollowingMay 25Wow . This is a fascinating topic to delve into. Using the Eight step methodology for Workforce analytics…
Continue ReadingWhy and How to do Cross Validation for Machine Learning
Why and How to do Cross Validation for Machine LearningGeorge SeifBlockedUnblockFollowFollowingMay 24Cross-validation is a statistical technique for testing the performance of…
Continue ReadingIntroduction to semi-supervised learning and adversarial training
Introduction to semi-supervised learning and adversarial trainingMaxime AllardBlockedUnblockFollowFollowingMay 23What is semi-supervised learning?Every machine learning algorithm needs data to learn from.…
Continue ReadingFixing a Major Weakness in Machine Learning of Images with Hinton’s Capsule Networks
By Kevin Vu, ExxactCorp. Have a look at this:Now see this:Even if you’ve never been to the moon, you can…
Continue ReadingHyperparameter Tuning On Google Cloud Platform With Scikit-Learn
Hyperparameter tuning is an optimization problem which means the exact nature is unknown and expensive to compute so it would…
Continue Reading