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How to:s, tutorials, and showcases in the past 5 days
Array programming with NumPy | Nature
www.nature.com
5 min read, listed 2 days ago in reddit/MachineLearning/[R] Array programming with NumPy
NumPy is the primary array programming library for Python; here its fundamental concepts are reviewed and its evolution into a flexible interoperability layer between increasingly specialized computational libraries is discussed.
Time-Series Forecasting: Predicting Stock Prices Using An LSTM Model | by Serafeim Loukas | Sep, 2020 | Towards Data Science
towardsdatascience.com
6 min read, listed 4 days ago in Data Science - Topic feed @ Medium
In this post I show you how to predict stock prices using a forecasting LSTM model
Training a performant object detection ML model on synthetic data using Unity Perception tools - Unity Technologies Blog
blogs.unity3d.com
10 min read, listed 1 day ago in Machine Learning – Unity Blog
Supervised machine learning (ML) has revolutionized artificial intelligence and has led to the creation of numerous innovative products. However, with supervised machine learning, there is always a need for larger and more complex datasets, and collecting these datasets is costly. How can you be sure of the label quality? How do you ensure that the […]
Different Genetic Algorithm Representations in Python | Paperspace Blog
blog.paperspace.com
17 min read, listed 14 hours ago in Paperspace Blog
This tutorial discusses how to use and implement different gene representations for the genetic algorithm using the PyGAD library in Python.
Statistical techniques for anomaly detection | by Mahbubul Alam | Sep, 2020 | Towards Data Science
towardsdatascience.com
5 min read, listed 3 days ago in Machine Learning - Topic feed @ Medium
Five statistical tools for rapid assessment of anomalies and outliers
Recurrent Neural Networks Tutorial, Part 3 – Backpropagation Through Time and Vanishing Gradients – WildML
www.wildml.com
8 min read, listed 4 days ago in reddit/deeplearning/Question to vanishing gradient problem in RNNs
This the third part of the Recurrent Neural Network Tutorial. In the previous part of the tutorial we implemented a RNN from scratch, but didn’t go into detail on how Backpropagation Through …
Combined Algorithm Selection and Hyperparameter Optimization (CASH Optimization)
machinelearningmastery.com
8 min read, listed 3 days ago in Machine Learning Mastery
Machine learning model selection and configuration may be the biggest challenge in applied machine learning.
Controlled experiments must be performed in order to discover what works best for a given classification or regression predictive modeling task. This can feel overwhelming given the large number of data preparation schemes, learning algorithms, and model hyperparameters that could be considered.
The common approach is to
Automated Machine Learning (AutoML) Libraries for Python
machinelearningmastery.com
15 min read, listed 1 day ago in Machine Learning Mastery
AutoML provides tools to automatically discover good machine learning model pipelines for a dataset with very little user intervention.
It is ideal for domain experts new to machine learning or machine learning practitioners looking to get good results quickly for a predictive modeling task.
Open-source libraries are available for using AutoML methods with popular machine learning libraries in Python, such as the
Animations of Neural Networks Transforming Data | by Angela Shi | Sep, 2020 | Towards Data Science
towardsdatascience.com
3 min read, listed 12 hours ago in Artificial Intelligence - Topic feed @ Medium
And we can have a better intuition about why and how neural networks work
Text Classification with CNNs in PyTorch | by Fernando López | Sep, 2020 | Towards Data Science
towardsdatascience.com
8 min read, listed 1 day ago in Towards Data Science
A step-by-step guide to build a text classifier with CNNs implemented in PyTorch.
How Data Scientists Build Machine Learning Models in Real Life | by Rahuldeb Das, Ph. D | Sep, 2020 | Towards Data Science
towardsdatascience.com
17 min read, listed 1 day ago in Machine Learning - Topic feed @ Medium
Steps for successful completion of a predictive model
Generating Anime Characters with StyleGAN2 | by Muhammad Fathy Rashad | Sep, 2020 | Towards Data Science
towardsdatascience.com
7 min read, listed 3 days ago in Artificial Intelligence - Topic feed @ Medium
Learn how to generate this cool anime faces interpolation
Visualization Of COVID-19 New Cases Over Time In Python
www.kdnuggets.com
4 min read, listed 3 days ago in KDnuggets
Inspired by another concise data visualization, the author of this article has crafted and shared the code for a heatmap which visualizes the COVID-19 pandemic in the United States over time.
Introduction to Neural Networks Basics
dataaspirant.com
12 min read, listed 2 days ago in reddit/deeplearning/Introduction to Neural Network Basics
Learn the key basic concepts to build neural networks, by understanding the required mathematics to learn neural networks in much simpler way.
Different Types of Time Series Decomposition | by Andrew Plummer | Sep, 2020 | Towards Data Science
towardsdatascience.com
7 min read, listed 3 days ago in Towards Data Science
And why you’re probably using the wrong one.
Getting started with EasyOCR for Optical Character Recognition - PyImageSearch
www.pyimagesearch.com
15 min read, listed 4 days ago in PyImageSearch
In this tutorial, you will learn how to use the EasyOCR package to easily perform Optical Character Recognition and text detection with Python.
Deep Learning classifier under 15 lines of code | Fastai V2 | by Vinay Kudari | Towards Data Science
towardsdatascience.com
9 min read, listed 4 days ago in Artificial Intelligence - Topic feed @ Medium
Let’s understand some basic vision and DL concepts by building a mask detector!
Learn linear regression using scikit-learn and NBA data: Data science with sports | by JP Hwang | Sep, 2020 | Towards Data Science
towardsdatascience.com
9 min read, listed 14 hours ago in Machine Learning - Topic feed @ Medium
Practical linear regression with real-life data of NBA players with Python, visualise the outcomes & learnings (including data & code).
How not to be Overwhelmed with Data Science | by Khuyen Tran | Sep, 2020 | Towards Data Science
towardsdatascience.com
5 min read, listed 4 days ago in Data Science - Topic feed @ Medium
Make Data Science Fun again
Walking Robot Using 1 Servo Motor : 13 Steps (with Pictures) - Instructables
www.instructables.com
2 min read, listed 19 hours ago in reddit/robotics/Walking Robot Using 1 Servo Motor
Walking Robot Using 1 Servo Motor: I've been wanting to build this walker robot even since I saw it on YouTube. After a little searching I found some more information on it and decided to make my own.The goal I had building this walker was to try and make it as small as I possibly co…
Using Pandas in Python for Data Preprocessing | Speed up Pandas
www.analyticsvidhya.com
9 min read, listed 4 days ago in Analytics Vidhya
Overview Pandas is the Swiss Army Knife of data preprocessing tasks in Python but can be cumbersome when dealing with large amounts of data Learn how to leverage Pandas in Python to become a more efficient data science professional Introduction Pandas is such a popular library that even non-Python programmers
A Comprehensive Guide to Neural Machine Translation using Seq2Seq Modelling using PyTorch. | by Balakrishnakumar V | Sep, 2020 | Towards Data Science
towardsdatascience.com
10 min read, listed 4 days ago in Artificial Intelligence - Topic feed @ Medium
In this post, we will be building an LSTM based Seq2Seq model with the Encoder-Decoder architecture for machine translation without…
How To Visualize KPI Progress — Bullet Graph With 3 Measures | by Kiril Yunakov | Sep, 2020 | Towards Data Science
towardsdatascience.com
5 min read, listed 3 days ago in Data Science - Topic feed @ Medium
A Step-by-Step Guide With Tableau
Big Data Project of Market Analysis in Banking Domain with Spark | by Amit Chauhan | Sep, 2020 | Level Up Coding
levelup.gitconnected.com
4 min read, listed 1 day ago in Machine Learning - Topic feed @ Medium
Big data analysis with spark
Credit card Fraud Detection with different sampling techniques | by Mythili Krishnan | Sep, 2020 | Towards Data Science
towardsdatascience.com
9 min read, listed 1 day ago in Machine Learning - Topic feed @ Medium
How to deal with Imbalanced data
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