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 AI — Multidisciplinary Science Journal » 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 computer vision. Introduction In this tutorial, we will be making an object detection application using the thermal image dataset from an indoor …
Introduction to CNNs Without using MNIST!
Author(s): Pratik Kumar An introduction to CNN with an easily accessible dataset for beginners in deep learning. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Python 3.9 Updates in 2 Minutes
Author(s): Sujan Shirol The stable version of Python 3.9 is here Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Multi-Armed Bandit with Thompson Sampling
Author(s): George Pipis A practical example of how to run Thompson Sampling in R Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
The Beginners’ Guide to the ROC Curve and AUC
Author(s): Chetan Ambi Understand what is ROC Curve and AUC, how to works, and how to use it for classification problems Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Pragmatic Deep Learning Model for Forex Forecasting
Author(s): Adam Tibi Using LSTM and TensorFlow on the GBPUSD Time Series for multi-step prediction Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Machine Learning to Predict Parkinson’s Disease
Author(s): Frederik Bussler An AutoML guide. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Simple Linear Regression Tutorial for Machine Learning (ML)
Author(s): Pratik Shukla, Roberto Iriondo Source: Image by the Author. Diving into calculating a simple linear regression and linear best fit with code examples in Python and math in detail This tutorial’s code is available on Github and its full implementation as …
This AI removes the water from underwater images!
Author(s): Louis Bouchard Have you ever wondered how the ocean would look like without water? Researchers recently achieved that by using computer vision algorithms! Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Linear Regression: Why it Matters and How to Write the Code
Author(s): Mahbubul Alam Simple steps to build linear regression models Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Coding is a Start, but it’s Not Enough!
Author(s): Michelangiolo Mazzeschi Is learning coding worth it? Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Item-Based Collaborative Filtering in Python
Author(s): George Pipis A Practical Example of Item-Based Collaborative Filtering Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Start Machine Learning in 2020 — Become an expert from nothing, for free!
Author(s): Louis Bouchard A complete guide on how to start learning machine learning (ML), artificial intelligence (AI) in 2020 without any background in the field. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Classification Evaluation Metrics Explained Clearly
Author(s): Chetan Ambi Understand Confusion Matrix, Precision, Recall, F1-score, etc. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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