Feature Engineering for NLP
Author(s): Bala Priya C Natural Language Processing Part 2 of the 6 part technical series on NLP Photo by Alfons Morales on Unsplash Part 1 of the series covered the introductory aspects of NLP, techniques for text pre-processing and basic EDA to understand certain …
Inheritance and Its Type with Python
Author(s): Amit Chauhan Concepts of Single, Multilevel and Multiple inheritance methods Continue reading on Towards AI » Published via Towards AI …
How to Build a Predictive Soccer Model
Author(s): George Pipis A walk-through example of how you can build your first predictive model for soccer Continue reading on Towards AI » Published via Towards AI …
Forecasting Stock Prices Using Neural Networks & Time Series Models
Author(s): Kevin Mekulu A practical guide to understanding financial time series forecasting models Continue reading on Towards AI » Published via Towards AI …
The Beginners’ Introduction to Graph Databases
Author(s): Chetan Ambi Graphs Are Everywhere! Continue reading on Towards AI » Published via Towards AI …
Can “fake faces” Lead to the Illusion of Diversity?
Author(s): Jair Ribeiro Generative Adversarial Networks has been used to create agency photos that supposed to promote diversity. But is it ethical? Continue reading on Towards AI » Published via Towards AI …
Brain Damage On Artificial Intelligence
Author(s): Luthfi Ramadhan Simple Explanation About ReLU From vanishing gradient to dead neuron Continue reading on Towards AI » Published via Towards AI …
Want to Optimize your Model? Use Learning Rate Decay!
Author(s): Danyal Jamil Adapting your Learning Rate Parameter with time can make a huge difference! Let’s see how. Continue reading on Towards AI » Published via Towards AI …
Build Natural Flower Classifier using Amazon Rekognition Custom Labels
Author(s): Juv Chan Computer Vision Building Natural Flower Classifier using Amazon Rekognition Custom Labels The Complete Guide with AWS Best Practices Image by Gerhard G. from Pixabay Introduction Building your own computer vision model from scratch can be fun and fulfilling. You get to …
Concepts of Bias and Variance In Dataset
Author(s): Amit Chauhan Basic understanding of definitions used in data science Continue reading on Towards AI » Published via Towards AI …
7 Things I Learned During My 2 Years in an AI Startup
Author(s): Arunn Thevapalan Excitement, culture, responsibilities, and everything in between Continue reading on Towards AI » Published via Towards AI …
IBM is Giving Out $800 Worth of Data Science and AI Courses For Free
Author(s): Frederik Bussler Plus $300 of other bonuses. Continue reading on Towards AI » Published via Towards AI …
Color Theory in Computer Vision
Author(s): Akula Hemanth Kumar Computer Vision Making computer vision easy with Monk, a low code Deep Learning tool, and a unified wrapper for Computer Vision. Photo by Paweł Czerwiński on Unsplash Color Vision Source History of Color theory: Color model from the book “Theory of …
Create your first Text Generator with LSTM in few minutes
Author(s): Maissa Ouni Photo by RetroSupply on Unsplash What if I tell you that an entire short sci-fi film has been written by an AI bot built on LSTM recurrent neural network, and it has even received positive reviews and critics, Surprised ?! well, …
How to Generate Synthetic Data?
Last Updated on November 15, 2020 by Editorial Team Author(s): Fabiana Clemente Data Science A synthetic data generation dedicated repository This is a sentence that is getting to common, but it’s still true and reflects the market's trend, Data is the new …
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