Opening the Black Box with Explainable AI [Hands-on]
Author(s): Frederik Bussler Explaining AI that forecasts wind energy production. Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Shaping the Future Human Experience
Author(s): Andreea Bodnari AI drives efficiency in economic or settings. But it can also assist with personal development and human understanding. Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Neural Networks from Scratch (A brief Introduction for Beginners)
Author(s): Pratik Kumar Understanding the concepts along with the implementation of neural networks using Python and its powerful library — Numpy. Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Plant Disease Detection using Faster R-CNN
Author(s): Amrith Coumaran Deep Learning Faster R-CNN was first introduced in 2015 and is also a part of the R-CNN family. Compared to its predecessor, Faster R-CNN proposes a novel Region Proposals Network (RPN) and provides better performance and computational efficiency. The …
Learning Curves
Author(s): NVS Yashwanth Photo by Isaac Smith onΒ Unsplash Machine Learning Evaluating machine learning models the rightΒ way Learning curves are useful in analyzing a machine learning modelβs performance over various sample sizes of the trainingΒ dataset. To understand learning curves, it is important to …
ECCV 2020 Best Paper Award | A New Architecture For Optical Flow
Author(s): Louis Bouchard Computer Vision,Β Research Photo by Cris Ovalle onΒ Unsplash ECCV 2020 Best Paper Award Goes to Princeton Team.They developed a new end-to-end trainable model for optical flow.Their method beats state-of-the-art architecturesβ accuracy across multiple datasets and is way more efficient. They …
Azure Cognitive Services Sentiment Analysis V3β Using PySpark
Author(s): Rory McManus What is Azure Cognitive Services — Text Analytics? Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Time Value of Money Easily Explained
Author(s): Michelangiolo Mazzeschi A conceptual explanation of TVM, why do we use it? Full code available at my repo. Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
A Brief Introduction to Pairs Trading
Author(s): Abhinav Raghunathan A sort-of-deep dive into one of the many successful strategies employed by trading firms around the world. Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Analyzing CitiBike Data: EDA
Author(s): Sujan Shirol Getting the most out of Matplotlib and Seaborn Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
What is Unpacking in Python
Author(s): Chetan Ambi Understanding unpacking in Python with examples Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Develop Your Own K Mean Clustering Algorithm from Scratch in Python and Use It
Author(s): Rashida Nasrin Sucky An Unsupervised Machine Learning Algorithm from Scratch and Learn to Use It for Dimensional Reduction of an Image Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Teaching a Vector Robot to detect Another Vector Robot
Author(s): Amitabha Introduction Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Building & Deploying a Data Science Web Application to Recognize Flowers
Author(s): Ashutosh Malgaonkar App uses the Geometric Mean Classifier Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Can AI know your gender based on your Tweets?
Author(s): Allen Jiang Exploring Natural Language Processing (NLP) and Machine Learning with Twitter API Data Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …