Automating Data Science with dabl
Author(s): Sujan Shirol Are human data scientist’s really required? Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
5 Ways To Improve The Performance Of Your Task-Based Conversational AI Agent
Author(s): ___ Based On What I Learned At The 2nd Workshop on NLP for ConvAI Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Understanding Python: Part 1
Author(s): Suhas V S A quick go through into the fundamentals of python programming. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
The Beginners’ Guide to map, zip, and Filter Functions in Python
Author(s): Chetan Ambi Understand map, zip and filter functions in Python with examples Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Exploratory Data Analysis (EDA) — Don’t ask how, ask what… and More!
Author(s): Towards AI Team What is new at Towards AI, what is changing, an exciting free event, our editor’s monthly picks, and more! If you have trouble reading this email, see it on a web browser. It’s been a busy month for Towards …
Coffee, Tea & EMD
Author(s): Anirudh Chandra Using Empirical Mode Decomposition to understand wholesale prices of my favourite beverages! Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Easing up the process of Tensorflow 2.0 Object Detection API and TensorRT
Author(s): Abhishek Annamraju Computer Vision Detailed steps to train your own object detector with Monk’s TF-Object-Detection-API, optimize using TensorRT and run inference on GPU systems The entire code is available as a jupyter notebook at Monk Object Detection Library Every computer vision engineer …
AI creating Human-Looking Images and Tracking Artificial Intelligence Programs in 2020
Author(s): David Yakobovitch Machine Learning Transforming Veterans Benefits Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Building a Quantize Aware Trained Deep Learning Model
Author(s): Renu Khandelwal Learn what is Quantization, different types of Quantization, and how to build a TFLite model using Quantize Aware Training. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Campus Recruitment: EDA and Classification — Part 2
Author(s): Durgesh Samariya Day 15 of 100 Days of Data Science Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
![Opening the Black Box with Explainable AI [Hands-on]](https://cdn-images-1.medium.com/max/1433/1*odvMU21IJxhmjDMkpy9yDQ.png "Opening the Black Box with Explainable AI [Hands-on]")
Opening the Black Box with Explainable AI [Hands-on]
Author(s): Frederik Bussler Explaining AI that forecasts wind energy production. Continue reading on Towards AI — Multidisciplinary Science Journal » 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 AI — Multidisciplinary Science Journal » 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 AI — Multidisciplinary Science Journal » 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 on Unsplash Machine Learning Evaluating machine learning models the right way Learning curves are useful in analyzing a machine learning model’s performance over various sample sizes of the training dataset. To understand learning curves, it is important to …
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