Diving Deep into Deep Learning
Author(s): Daksh Trehan Originally published on Towards AI. Deep Learning, Data Science An Unconventional Guide to Deep Learning We reside in a world, where we are constantly surrounded by deep learning algorithms be it for the good or worse cause. From the …
Logistic Regression with Mathematics
Author(s): Gul Ershad Machine Learning, Mathematics Introduction Logistic Regression is an omnipresent and extensively used algorithm for classification. It is a classification model, very easy to use and its performance is superlative in linearly separable class. This is based on the probability …
The Geometric Median
Author(s): Andrei Gasparovici Applying optimization to a geometry problem Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
The Real Reason to Study Mathematics
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Everything is on the internet Throughout everyone’s academic career, the most common explanations you will hear regarding the justification of every subject might be everything but practical. To question the existence of Mathematics in …
The Real Reason to Study Mathematics
Author(s): Michelangiolo Mazzeschi I am a practical person, let me give you my answer Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Understanding the Universal Approximation Theorem
Author(s): Shiva Sankeerth Reddy Photo by Jeremy Thomas on Unsplash Let us take some time to understand the importance of Neural Networks Neural networks are one of the most beautiful programming paradigms ever invented. In the conventional approach to programming, we tell the computer …
Machine Learning Standardization (Z-Score Normalization) with Mathematics
Author(s): Saniya Parveez Introduction In Machine Learning, feature scaling is very important and a dime a dozen because it makes sure that the features of the data-set are measured on the same scale. The concept of feature scaling has come to the …
The Full List of Fortune 500 Data Science Blogs
Author(s): Frederik Bussler I searched every F500 site for data science blog content. Here’s what I found. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
5 Machine Learning Ideas I Learned At ACL 2020
Author(s): ___ Some useful techniques to keep in mind for any NLP-related projects Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How I got the AWS Machine Learning Specialty Certification
Author(s): Mayank Vadsola You don’t need recommended 1–2 years of hands-on experience Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Enterprise Apps adopt AI in the Golden Age of AI
Author(s): David Yakobovitch 5G Mega Trends and the rise of AI Applications Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How to Approach any Data Science Certification?
Author(s): Rahul Pathak The optimal way to start your Data Science Journey Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
K-Means vs. Affinity Propagation Clustering
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Finding Clusters Clustering is one of the simplest algorithms to implement with any Machine Learning tools. There are two different sets of algorithms dedicated to Clustering, depending on if we use Numerical Data (K-Means …
Unsupervised Learning, K-Means vs. Affinity Propagation Clustering
Author(s): Michelangiolo Mazzeschi Performing numerical Clustering using two approaches Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Main Types of Neural Networks and Their Applications — Tutorial
Author(s): Towards AI Editorial Team Originally published on Towards AI. A tutorial on the main types of neural networks and their applications to real-world challenges. Figure 1: Main types of neural networks, designed with app.diagrams.net, diagram is a derivative from Creative Commons …
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