Hyper-parameters: RandomSeachCV and GridSearchCV in Machine Learning
Author(s): Amit Chauhan Techniques to improve the accuracy of the algorithm Continue reading on Towards AI » Published via Towards AI …
Crisis Proofing The Hospitality Industry
Author(s): Lukas Frei Using data visualization to find risk reduction measures Continue reading on Towards AI » Published via Towards AI …
Workflow of a Data Science Project
Author(s): Raman Kumar Jha Data Science Data science projects are a kind of projects where output is often a set of actionable insights, the insights which may cause you to do things differently. To understand the workflow of a data science project, …
OpenCV: Different Color Spaces in Image Processing with Python
Author(s): Amit Chauhan Preprocessing techniques for feature extraction and object detection Continue reading on Towards AI » Published via Towards AI …
OpenAI’s New Code Generator: GitHub Copilot (and Codex)
Author(s): Louis Bouchard Find out how this AI Generates Code From Words Continue reading on Towards AI » Published via Towards AI …
How to deal with imbalanced datasets
Author(s): Ioana Zaman What is an imbalanced dataset? Continue reading on Towards AI » Published via Towards AI …
Workflow of a Machine Learning Project
Author(s): Raman Kumar Jha Machine Learning Machine learning algorithms can learn from A to B or input to output mapping. If we take an example of a speech recognition software like Amazon Echo/Alexa, Google Home, Apple Siri which can be easily found …
How IBM Uses How to Combine Humans and Neural Networks to Achieve Better Language Intelligence
Author(s): Jesus Rodriguez The human-in-the-loop approach shows high efficiency in language models. Continue reading on Towards AI » Published via Towards AI …
Kernels vs. Filters: Demystified
Author(s): Shubham Panchal Deep Learning Understanding the difference once and forever. Photo by bruce mars on Unsplash For most of us, who were once newbies in Deep Learning, trying tf.keras.layers.Conv2D for MNIST classification was fun. Convolutions are the building blocks of most algorithms in …
PyTorch Tutorial 101
Author(s): Rahul Lalchandani A quick tutorial to Pytorch Continue reading on Towards AI » Published via Towards AI …
Technological Game Changer — Internet of Avionics things(IOAT) has engulfed Aviation like fire
Author(s): Supriya Ghosh IoT Technological Game Changer — Internet of Avionics things(IOAT) has engulfed Aviation like fire Leveraging IOT’s endless and exhilarant possibilities.The capabilities go much deeper and the sky is not the limit.So let’s ride this wave of transformation Introduction The Internet of Things …
Deep Learning For Computer Vision
Author(s): Nour Islam Mokhtari Common trends and techniques in the industry from an AI engineer Continue reading on Towards AI » Published via Towards AI …
Decision Trees vs. Random Forests in Machine Learning
Author(s): Amit Chauhan Understand two supervised learning algorithms Continue reading on Towards AI » Published via Towards AI …
The Only AI Weekly Newsletter You Need
Author(s): Louis Bouchard There are already many machine learning newsletters, but this one is different and made for you! (contains videos, articles, code, demos…) Continue reading on Towards AI » Published via Towards AI …
Top 5 Free Cloud IDE For Data Science 2021
Author(s): Abid Ali Awan Data Science Top 5 Free Cloud IDEs For Data Science 2021 Jumpstart your data science career with top free IDE with a built-in environment, CPU, Storage, and python packages. Learn new skills, create a project, and share it with others. …
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