Learning R
Author(s): Dr. Stefan Karenfort Three book recommendations for beginners Continue reading on Towards AI » Published via Towards AI …
Sentence Correction using Attention-based Sequence-to-Sequence Model
Author(s): Himanshu Shekhar Representing the Language Dynamics Continue reading on Towards AI » Published via Towards AI …
Microsoft Uses GANs with Discrete Data
Author(s): Jesus Rodriguez Boundary-Seeking-GANs is a method that enables the training of GAN models using discrete data. Continue reading on Towards AI » Published via Towards AI …
Centroid Neural Network: An Efficient and Stable Clustering Algorithm
Author(s): LA Tran Deep Learning Let’s upraise potentials that are not paid much attention Generally, clustering is grouping multi-dimensional datasets into closely related groups. Classical representatives of clustering algorithms are K-means Clustering and Self-Organizing Map (SOM). You can easily find numerous resources …
Introduction to TeX, LaTeX, and OverLeaf
Author(s): Buse Yaren Tekin, M.Sc. Greetings from the academic world’s window to all of you🍂 When it comes to scholarly articles/publications, our minds surely begin to… Continue reading on Towards AI » Published via Towards AI …
Why Are We So Afraid of AI?
Author(s): Seppo Keronen Opinion Photo by Andre Mouton on Unsplash We humans have become the dominant species on “our” planet. We are afraid of anything or anyone, too powerful or different from ourselves — How alien is the emerging Artificial General Intelligence (AGI), and how …
Essential preprocessing techniques
Author(s): Ioana Zaman Preprocessing techniques for text data are explained with code that improves your results only by preprocessing data. Continue reading on Towards AI » Published via Towards AI …
Fully Explained OPTICS Clustering with Python Example
Author(s): Amit Chauhan The unsupervised machine learning algorithm Continue reading on Towards AI » Published via Towards AI …
Make GANs Training Easier for Everyone: Generate Images Following a Sketch
Author(s): Louis Bouchard Control GANs outputs based on the simplest type of knowledge you could provide it: hand-drawn sketches. Continue reading on Towards AI » Published via Towards AI …
Teaching an AI Rock, Paper, Scissors!
Author(s): Michelangiolo Mazzeschi Using a Machine Learning approach to teach the AI who would win when two Rock, Paper, Scissors players make their choices. Full cove… Continue reading on Towards AI » Published via Towards AI …
Multi-Objective Optimization Model Solved using R — Part2
Author(s): Supriya Ghosh Optimization Multi-Objective Optimization Model Solved using R — Part2 Source — https://musfirsays.wordpress.com/2012/02/22/mathematical-optimization/ Isn’t it great to solve the Multi-Objective optimization problem of Goal Programming using “R”? If yes, then here is something which you can vouch for. In this write-up, I am going to deep …
5 Popular Machine Learning algorithms
Author(s): Or Machine Learning Source: Image by GDJ on Pixabay A machine learning algorithm is conceptually similar to any other algorithm in computer science. An ML algorithm is a data-driven process that is used to create a production-ready machine learning model. If you consider …
Cloud Storage vs. Database, how the Cloud organizes its services
Author(s): Michelangiolo Mazzeschi Comparing AWS and Azure on how they organize their Database and Storage services Continue reading on Towards AI » Published via Towards AI …
Top 5 Machine Learning Competitive Platforms in 2021
Author(s): Abid Ali Awan Careers Discovering the most popular Machine learning competitive platform in 2021 to showcase your recently acquired skills. Image by Author | Elements by Starline, Macrovector Introduction Reading books on machine learning, taking a 98-hour course,s and developing coding experience …
The Analytics Approaches Behind Recommendation Systems
Author(s): Olivia Tanuwidjaja Understanding different algorithms for your product recommendation Continue reading on Towards AI » Published via Towards AI …
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