Has Supply Chain Automation Come of Age?
Author(s): David Yakobovitch Measuring Supply Chain Performance Continue reading on Towards AI » Published via Towards AI …
Matrices in Data Science Are Always Real and Symmetric
Author(s): Benjamin Obi Tayo Ph.D. Because data science deals with real-world problems, matrices in data science must be real and symmetric Continue reading on Towards AI » Published via Towards AI …
Essential Data Visualization Python Libraries
Author(s): Dasaradh Saran Visualizing data is effective when done using the right tools Continue reading on Towards AI » Published via Towards AI …
Object Detection with Rekognition on Images
Author(s): George Pipis A practical example of how you can get the image labels with AWS Rekognition using Python Continue reading on Towards AI » Published via Towards AI …
Reinforcement Learning, Brain, and Psychology: Neuroscience Basics 2
Author(s): Alexey Poddiachyi Neurotransmitters, learning, memory, pathfinding and how all that is connected to AI algorithms. Continue reading on Towards AI » Published via Towards AI …
Why it’s Super Hard to be an ML Researcher or Developer?
Author(s): Nishu Jain A Realization that Literally Changed my Life Continue reading on Towards AI » Published via Towards AI …
Deploying Data Science Web Apps with Streamlit: Text Display
Author(s): Mahbubul Alam Article series on deploying data science applications Continue reading on Towards AI » Published via Towards AI …
Word-Level Text Generation
Author(s): George Pipis A practical example of Word Level Text Generation with Tensorflow Continue reading on Towards AI » Published via Towards AI …
What is Lobe and how is Microsoft Trying to Make AI mainstream?
Author(s): Jair Ribeiro Microsoft released a free public preview of a tool that lets people train AI models without writing a single line of code. Continue reading on Towards AI » Published via Towards AI …
Imbalanced-learn: Handling imbalanced class problem
Author(s): Chetan Ambi A hands-on guide for handling imbalanced data using imbalanced-learn Continue reading on Towards AI » Published via Towards AI …
Google Colab 101 Tutorial with Python — Tips, Tricks, and FAQ
Author(s): Saniya Parveez, Roberto Iriondo Source: Derivative from original by Bongkarn Thanyakij on Pexels An in-depth tutorial on how to use Google Colab with Python, along with Colab’s tips, tricks, and FAQ This tutorial’s code is available on Github and its full implementation as …
K-Means Simplified
Author(s): Luthfi Ramadhan Data Science, Machine Learning Short Introduction and Numerical Example of K-Means Clustering Source: http://graphalchemist.github.io/Alchemy/images/features/cluster_team.png What is clustering? Clustering is the process of grouping a set of data objects (or observations) into subsets. Each subset is a cluster, such that objects …
Develop Text into WordCloud in Python
Author(s): Amit Chauhan Representation of text data Visualization Continue reading on Towards AI » Published via Towards AI …
Python Fire
Author(s): Bala Priya C Programming Understanding Fire- a command-line interface generation library Photo by Maxwell Nelson on Unsplash This blog post summarizes the use cases of Python Fire, explained by David Bieber, a Software Engineer at Google Brain in a webinar organized by …
Build Your own Recommendation Engine-Netflix Demystified: Demo+Code
Author(s): Ravi Shankar An intro to recommender systems with live implementation What should I watch this evening? How often you feel after a hectic day at work that what should I watch next? As for me — yes, and more than once. …
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