Why is Python so popular among Data Scientists?
Author(s): Maruti Techlabs Data Science Why is Python so Popular Among Data Scientists? Your organization is only as smart as the data you have accessΒ to. The ability to extract insights from massive amounts of data decides your enterpriseβs success. This is where …
How I Build Machine Learning Apps in Hours
Author(s): Arunn Thevapalan In hours, not days. Do we even have a choice? Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Exploratory Data Analysis (EDA)βββHands-on NYC Airbnb Dataset
Author(s): Rajvi Shah Complete guide to explore & analyze NYC Airbnb dataset Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Social Network Analysis of Game of Thrones in Python
Author(s): George Pipis A practical example of Social Network Analysis of Game of Thrones using NetworkX Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
The State of Low Code and No Code in 2020
Author(s): David Yakobovitch Low Code, No Code Movements and Enterprise Applications Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Everyone Can Understand Machine Learning⦠and More!
Author(s): Towards AI Team Some cool announcements, what is new in the AI world, and our monthlyΒ picks If you have trouble reading this email, see it on a webΒ browser. Work in the AI field is moving forward very quickly. Today Papers with …
Bias Matters! Whatβs Fairlearn, and why should I care?
Author(s): Bruno Cordeiro Improving the fairness of machine learning models. Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
How to determine the number of Clusters for K-Means in R
Author(s): George Pipis A walk-through example of how you can determine the number of Clusters for K-Means Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
The Key to Sharp Matplotlib Graphs with One Line of Code
Author(s): Anya Vastava The barely known trick that should become industry standard Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
The Ethics of AI and Autonomous Vehicles
Author(s): Jair Ribeiro In a perfect world, AI should be developed to avoid unethical issues, but that may be unlikely since those issues can not be predefined… Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
MLOps Demystifiedβ¦
Author(s): Shubham Saboo Machine Learning Efficiency is about doing better whatβs already being doneβββPeterΒ Drucker MLOps is modeled on the existing discipline of DevOps, the modern practice of efficiently building, deploying, and running enterprise-grade applications to shorten the systems development life cycle and …
Analysis of the Learning Rate in Gradient Descent Algorithm Using Python
Author(s): Jalal Mansoori In this tutorial, you’ll learn, implement, visualize the Performance of Gradient descent by trying different sets of learning rate values. Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Implementing FaceID Technology with a Siamese Neural Network
Author(s): Vasile PΔpΔluΘΔ Machine Learning Understanding more weird networks. Icon from flaticon by NikitaΒ Golubev Face ID is a technology, that allows devices to give access tho themselves only to allowed identities. It uses this looking at the personβs face and if it …
The Three Must Know Concepts in Time Series Analysis- with example
Author(s): Moeedlodhi Time Series data is one of the fastest-growing data out there and that is why it is imperative to have a good understanding of it Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Detection of Soccer Players from Thermal Images using Monk AI
Author(s): Kushagra Awasthi Computer Vision Making computer vision easy with Monk, low code Deep Learning tool, and a unified wrapper for computerΒ vision. Introduction In this tutorial, we will be making an object detection application using the thermal image dataset from an indoor …
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