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.
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
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 […]
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.
5 min read, listed 3 days ago in Machine Learning - Topic feed @ Medium
Five statistical tools for rapid assessment of anomalies and outliers
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 …
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
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
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
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.
17 min read, listed 1 day ago in Machine Learning - Topic feed @ Medium
Steps for successful completion of a predictive model
7 min read, listed 3 days ago in Artificial Intelligence - Topic feed @ Medium
Learn how to generate this cool anime faces interpolation
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.
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.
7 min read, listed 3 days ago in Towards Data Science
And why you’re probably using the wrong one.
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.
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!
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).
5 min read, listed 4 days ago in Data Science - Topic feed @ Medium
Make Data Science Fun again
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…
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
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…
5 min read, listed 3 days ago in Data Science - Topic feed @ Medium
A Step-by-Step Guide With Tableau
4 min read, listed 1 day ago in Machine Learning - Topic feed @ Medium
Big data analysis with spark
9 min read, listed 1 day ago in Machine Learning - Topic feed @ Medium
How to deal with Imbalanced data
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