Trends in Machine Learning

What's the current buzz?

What are people talking about? What's trending on social media? We collect the latest and most popular tweets on Machine Learning. We update our collection daily so keep visiting!

Top Tweets in Machine Learning
Sectors using Machine Learning

Where's the money going?

Curious about where corporates are spending money? We've collected information from 20000+ businesses and analyzed their spend on Machine Learning. The pie chart on the leftfollowing pie chart helps you visualize the spend on Machine Learning in different sectors

What's cooking in research?

We've analyzed research papers from the past 24 months and extracted the top keywords within a 2-month window.
Click on a column to view the top keywords for that window.

Papers
Latest Questions in Machine Learning
How to build a text detection and recognition system for extracting only specific information from texts?
Recognizing similar sounds based on example input
Face detection and recognition and drowsiness detection
What are the best references to learn design hardware accelerator ic fro machine learning and deep learning
Case study of a robot on machine learning
SVM IN R- How to use predict
Misunderstanding of the meaning of q-learning
How to perform spatial aggregation of points based on their value?
What machine learning method to use?
How can I convert a tennis scoreline into a match outcome representation value?
How to stream/load data from databases like SQL or MongoDB for training ML models?
neural network -number of hidden layers
Dataset for Acute Diseases
Crop or Get ROI region from bounding boxes in Image using Image processing OpenCV, Python or Any ML/DL Libraries using Python
Which machine learning model to use for the following dataset ?
How does the model.predict() function work?
how to do sentiment scoring for any customer feedback
Which Java IDE is best for Data Science and Machine Learning?
How to create an machine learning model to read text from pdf and populate table using python?
Andrew Ng Machine Learning Course week 1 programming exercise
Why is PCA and Random Forest classifier mostly used together when PCA requires scaling of the features and RFC doesnt
What's an appropriate machine learning algorithm for trying to find the "best" object in a set?
what should be my first project into Machine learning?
I want to Know how do data scientist deploy Data science from end to end
Way build a ML model with dynamic dataset have dependencies between feasuers- python or node
Why the outputs of a machine learning model are not sampled at the prediction time?
Are you exporting top 5 best prediction results by pyspark?
All intermediate steps should be transformers and implement fit and transform in Linear Regression
Regression model Validation
Preparing data for classification algorithm
Can I run predict method of sklearn SVR by myself?
Identifying a SmartPhone amongst other products
ML.NET C# How do I get a list of predicted employee groups output?
Error while importing dedupe module in Python 3
Processing Image for machine learning
How can i implement a python machine learning trained model in a c# desktop application project?
Feature Engineering Job Title
python Machinelearning
How can I get to understand R modeling functions?
How is the Back Propagation algorithm described without using Linear Algebra?
How I can split a fully labeled dataset into labeled and unlabeled data for semi-supervised learning purpose
Data Science(Python)
How to optimize program execution using machine learning
How to use mahalanobis distance for classification
How do I rank the document?
Why the sklearn doesn't excuse imputer
Latest Competitions in Machine Learning
VSB Power Line Fault Detection

Can you detect faults in above-ground electrical lines?

Elo Merchant Category Recommendation

Help understand customer loyalty

Traveling Santa 2018 - Prime Paths

But does your code recall, the most efficient route of all?

Don't call me turkey!

Thanksgiving Edition: Find the turkey in the sound bite

Google Analytics Customer Revenue Prediction

Predict how much GStore customers will spend

New York City Taxi Fare Prediction

Can you predict a rider's taxi fare?

Costa Rican Household Poverty Level Prediction

Can you identify which households have the highest need for social welfare assistance?

DonorsChoose.org Application Screening

Predict whether teachers' project proposals are accepted

Santa Gift Matching Challenge

Down through the chimney with lots of toys...

Spooky Author Identification

Share code and discuss insights to identify horror authors from their writings

A-B Testing
AUC
Accuracy
Activation Function
Activation Functions
AdaGrad
Adversarial Learning
Adversarial Network
Adversarial Networks
Agglomerative Clustering
Artificial Intelligence
Artificial Neural
Artificial Neural Network
Artificial Neural Networks
Attention Networks
Attention Neural
Automation Bias
Back Propagation Neural Network
Backpropagation
Bag Of Words
Baseline
Batch
Batch Normalization
Batch Size
Bayesian Neural Network
Bidirectional Lstm
Bigram
Binary Classification
Bits Back Coding
Boosting
Calibration Layer
Candidate Generation
Candidate Sampling
Categorical Data
Class
Class-Imbalanced Dataset
Classification Model
Classification Threshold
Clipping
Clustering
Co-Adaptation
Collaborative Filtering
Component Analysis
Computer Vision
Conformal Transformation
Confusion Matrix
Continuous Feature
Convenience Sampling
Convergence
Convex Function
Convex Optimization
Convex Set
Convolution
Convolutional Layer
Convolutional Network
Convolutional Networks
Convolutional Neural
Convolutional Neural Network
Convolutional Neural Networks
Cost
Cross-Entropy
Cross-Validation
Data Augmentation
Decision Boundary
Decision Tree
Deep Cnn
Deep Convolutional
Deep Convolutional Autoencoders
Deep Convolutional Networks
Deep Convolutional Neural
Deep Convolutional Neural Network
Deep Convolutional Neural Networks
Deep Encoder Decoder Network
Deep Generative
Deep Learning
Deep Learning Models
Deep Learning Neural
Deep Networks
Deep Neural
Deep Neural Network
Deep Neural Networks
Deep Recurrent
Deep Recurrent Neural Networks
Deep Reinforcement
Deep Reinforcement Learning
Deep Residual
Deep Residual Networks
Depth
Discriminative Model
Discriminator
Dropout Regularization
Embedding Space
Embeddings
Encoder Decoder
Ensemble
Epoch
False Negative
False Positive
Features Deep Learning
Feed Forward Neural Networks