Weka Splash ScreenGetting Started With Weka 3 — Machine Learning on GUIA Step-By-Step Guide To Using Weka for Building Machine Learning ModelsWill BadrBlockedUnblockFollowFollowingJan 31Weka is…
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Doing meaningful work with Machine Learning — Classify Disaster Messages
The reason is that when disaster happens, there are millions of messages sent and tweeted to inform about it. However,…
Continue ReadingUsing Transfer Learning and Pre-trained Language Models to Classify Spam
Using Transfer Learning and Pre-trained Language Models to Classify SpamSteve MutuviBlockedUnblockFollowFollowingJan 31Transfer learning, an approach where a model developed for a…
Continue ReadingExecutive Spotlight: Oliver Schabenberger, COO & CTO at SAS
Oliver Schabenberger: The rise of AI during the last decade is due to the convergence of big data and big…
Continue ReadingArticle | “Amazon is Showing Healthcare is the Next Big Thing for Machine Learning”
Source: Medium | Author: Michael K. Spencer Amazon is Showing Healthcare is the Next Big Thing for Machine Learning Amazon will…
Continue ReadingThe Algorithms Aren’t Biased, We Are
Teachers matter. This is even more true in machine learning — machines don’t bring prior experience, contextual beliefs, and all the other…
Continue ReadingA.I enhanced molecular discovery and optimization
We just need to know a couple more details. These details are known as hyperparameters, such as the number of…
Continue ReadingMy Open-Source Machine Learning Journey Begins
My Open-Source Machine Learning Journey BeginsMy new blog, A Human Learning Machine Learning, Launched on January 1stAlex OrtizBlockedUnblockFollowFollowingJan 18In technology and much…
Continue ReadingMachine Learning from First Principles
https://bit. ly/2sLdYKYIt is absolutely vital that the dataset we use meets this criteria because if it doesn’t we will basically…
Continue ReadingUnderstanding Entity Embeddings and It’s Application
Knowledge, Alfons Morales — UnsplashUnderstanding Entity Embeddings and It’s ApplicationHafidz ZulkifliBlockedUnblockFollowFollowingJan 27As of late I’ve been reading a lot on entity embeddings…
Continue ReadingData and AI Experts Share Predictions with Databricks: What the Future Holds for AI, Big Data and Analytics
Developing tools to standardize the machine learning process – essentially, making it repeatable regardless of data sets, tools or specific…
Continue ReadingPotential Issues of the Research with Educational Data Mining
Photo by Patrick Tomasso on UnsplashPotential Issues of the Research with Educational Data MiningLooking over the case study of blended learning contexts…
Continue ReadingData Science is Disrupting the Way We Look at Data
This is when machine learning comes into play. A machine learning classifier can predict whether someone will purchase your car…
Continue ReadingAI is a Big Fat Lie
No. It can get really, really good at certain tasks, but only when theres the right data from which to…
Continue Reading“Data Science” Has Become Too Vague
“Data Science” Has Become Too VagueLet’s Specialize and Break it Up!Thomas NieldBlockedUnblockFollowFollowingJan 25I would not be opposed to downplaying the term “data…
Continue ReadingWe analyzed 16,625 papers to figure out where AI is headed next
Almost everything you hear about artificial intelligence today is thanks to deep learning. This category of algorithms works by using…
Continue ReadingUnderstanding Machine Learning on Point Clouds through PointNet++
Understanding Machine Learning on Point Clouds through PointNet++Zachary SingerBlockedUnblockFollowFollowingJan 24IntroductionData can take on a variety of forms. For processing visual…
Continue ReadingFitting a Neural Network Using Randomized Optimization in Python
Fitting a Neural Network Using Randomized Optimization in PythonHow randomized optimization can be used to find the optimal weights for machine…
Continue ReadingUnderstand the Impact of Learning Rate on Model Performance With Deep Learning Neural Networks
Deep learning neural networks are trained using the stochastic gradient descent optimization algorithm. The learning rate is a hyperparameter that…
Continue ReadingDeepTraffic – DQN Tuning for Traffic Navigation (75.01 MPH) ????
(Part 1: Reinforcement Learning)Demystifying Double Deep Q-Learningtowardsdatascience. comNow that we have revised our RL skillset, let’s proceed to the competition!DeepTraffic…
Continue ReadingMachine Learning Transformed: Data Quality and Operational Necessities
Hollywood provides some initial insights in War Games, released in 1983. In the film, professor Stephen Falken creates Joshua, a…
Continue ReadingHow to Configure the Learning Rate Hyperparameter When Training Deep Learning Neural Networks
The weights of a neural network cannot be calculated using an analytical method. Instead, the weights must be discovered via…
Continue ReadingIntroducing Feast
Introducing FeastGoogle’s New Feature Store for Machine Learning ApplicationsJesus RodriguezBlockedUnblockFollowFollowingJan 23Feature extraction and storage is one of the most important…
Continue ReadingA Machine Learning Approach to Author Identification of Horror Novels from Text Snippets
But one thing is quite obvious that,Every author, whether it is a Lovecraft or Mary Shelley or Poe, had their…
Continue ReadingWhat were the most significant machine learning/AI advances in 2018?
By Kai Xin Thia, Head of Data at Tech in Asia, Co-Founder – DataScience SGAlphaZero, now peer-reviewed and working across…
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