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Areas Served: Tutorial on LSTMs: A Computational Perspective
Author(s): Manu Rastogi, Ph.D. Photo by Jack Nagz on Unsplash In recent times there has been a lot of interest in embedding deep learning models into hardware. Energy is of paramount importance when it comes to deep learning model deployment especially at the edge. There is …
Kannada MNIST Classification using Monk
Author(s): sinchana S.R Kannada is the second oldest of the four major Dravidian language spoken predominantly by people of… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Ensuring Success Starting a Career in Machine Learning (ML)
Author(s): Roberto Iriondo Machine learning (ML) careers in industry and academia are in such high demand, how do you assure you can succeed in such a competitive… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Artificial Neural Network Ship Crew size Prediction Model
Author(s): Vivek Chaudhary The objective of this blog is to design a Neural Network Model to predict Ship Crew Size. The nature of this model will be Regression. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Linear Regression Complete Derivation With Mathematics Explained!
Author(s): Pratik Shukla Machine Learning Part 3/5 in Linear Regression Part 1: Linear Regression From Scratch. Part 2: Linear Regression Line Through Brute Force. Part 3: Linear Regression Complete Derivation. Part 4: Simple Linear Regression Implementation From Scratch. Part 5: Simple Linear Regression Implementation Using …
An End-to-End Comprehensive Summary of Machine Learning
Author(s): Nkwawir Beltus Photo by h heyerlein on Unsplash Machine Learning A cheat sheet for machine learning concepts and practical implementation tips Introduction If you are new to the machine learning world and want to get your feet wet super-fast in all the …
Having a Hard Time Building the Perfect Model?
Author(s): Davuluri Hemanth Chowdary Credits: Aron Visuals from Unsplash Results of a recent study of over 23,000 data professionals found that data scientists spend about 40% of gathering and cleaning data, 20% of their time building and selecting models, and 11% of …
Contributing a New Large Dataset for SARS-CoV-2 Identification via CT Scan
Author(s): Eduardo Soares and Plamen Angelov Source: Pexels An open-source dataset for the development of artificial intelligent methods able to identify patients infected by SARS-CoV-2 through computed tomography scan analysis You can find the dataset on Kaggle. For the detailed paper, please visit medRxiv. …
Classify Images of Clothing using Tensorflow
Author(s): Naina Chaturvedi Train a basic neural network model to classify images of clothing… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Key Machine Learning Definitions
Glossary of the most used definitions in machine learning Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How to Use Machine Learning in Bioinformatics Research Part 2
Author(s): Roland Hewage Bioinformatics is a combination of many fields. I was doing my undergraduate research on BioInformatics and I had a great passion for… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Getting Started with Kaggle Competitions Using Monk AI
Author(s): sinchana S.R Deep Learning Monk is a low code deep learning tool and a suitable wrapper for computer vision. Monk Features Low-code. Unified wrapper over major deep learning framework s — Keras, PyTorch, gluoncv. Syntax invariant wrapper. Monk Enables To create, manage, and version control …
Google Stock Predictions using an LSTM Neural Network
Author(s): Michelangiolo Mazzeschi Time-series is a data format that is very tough to manage. Compared to cross-sectional data, a data format to which you can directly apply machine learning algorithms without preparing the data… Continue reading on Towards AI — Multidisciplinary Science Journal » …
Jupyter Notebook for Data Science Coding Exercise
Author(s): Benjamin Obi Tayo Ph.D. Some coding challenge problems would specify that a formal project report be submitted together with a Jupyter notebook or R Script file Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
8 Great Machine Learning Ideas You Can Start Developing Today
Author(s): Tommaso De Ponti Sharpen your Machine Learning skills by starting one of these Projects Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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