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Python: Top Programming Language for Data Science — Intro and Implementation
Author(s): Farzad Mahmoodinobar Originally published on Towards AI. Python: Language of Choice for Data Scientists This member-only story is on us. Upgrade to access all of Medium. Beaver Building a Foundation, by DALL.E 2 What are the top programming languages used by …
This AI newsletter is all you need #31
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louis Last week has been a busy with new Generative AI developments, particularly with the announcement of ChatGPT’s paid version, which sparked a conversation among users. …
Distance Metrics for Machine Learning — 15 Examples With Code
Author(s): Carla Martins Originally published on Towards AI. Useful to know before you jump into ML This member-only story is on us. Upgrade to access all of Medium. Photo by Diana Polekhina on Unsplash If you have read some of my previous …
OpenAI GPT3 ChatGPT, Is it Legal?
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Do you like using ChatGPT to develop your app? You might want to think again. Continue reading on Towards AI » Join thousands of data leaders on the AI newsletter. Join …
Handwriting Words Recognition With TensorFlow
Author(s): Rokas Liuberskis Originally published on Towards AI. Construct an accurate handwriting recognition model with TensorFlow! Understand how to utilize the IAM Dataset to extract text from handwritten images and discover methods to enhance your model’s accuracy This member-only story is on …
Handwriting words recognition with TensorFlow
Author(s): Rokas Liuberskis Originally published on Towards AI. Continue reading on Towards AI » Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects …
As a Data Scientist, You Should Know About a Clever Horse Called Hans
Author(s): Leon Eversberg Originally published on Towards AI. Learn about the Clever Hans effect in machine learning Continue reading on Towards AI » Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with …
5 Pitfalls of the Modern Data Stack For Startups
Author(s): Luhui Hu Originally published on Towards AI. Practical lessons from and for startups using the modern data stack Photo by Buzz Andersen on Unsplash The modern data stack is cloud-native open data platforms and services. Today is the era of the …
Fully Understand AutoEncoder in Deep Learning
Author(s): Amit Chauhan Originally published on Towards AI. Data compression algorithm for artificial intelligence and data science applications Continue reading on Towards AI » Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date …
5 Pitfalls of the Modern Data Stack for Startups
Author(s): Luhui Hu Originally published on Towards AI. 5 Pitfalls of the Modern Data Stack For Startups Practical lessons for startups using the modern data stack Photo by Buzz Andersen on Unsplash The modern data stack is cloud-native open data platforms and services. Today is …
Becoming the Michael Jordan of Data Science: A Step-by-Step Guide
Author(s): Jair Ribeiro Originally published on Towards AI. Getting inspired by Michael Jordan’s dominance on the court for those looking to reach their full potential in their data science career. Continue reading on Towards AI » Join thousands of data leaders on …
Are My Clusters Correct? Methods for Unsupervised Evaluation of Clustering
Author(s): Konstantinos Poulinakis Originally published on Towards AI. How to measure clustering performance and decide on a model when supervised labels are not available. A real-world practical example. Continue reading on Towards AI » Join thousands of data leaders on the AI …
Solar Power Prediction Using SARIMA, XGBoost, and CNN-LSTM
Author(s): Amit Bharadwa Originally published on Towards AI. Analyzing and forecasting solar power performance using statistical tests and machine learning Photo by Nuno Marques on Unsplash Table of Contents Introduction The Data Exploratory Data Analysis (EDA) Modelling SARIMA XGBoost CNN-LSTM Results 5. Conclusion The purpose of …
2D Path Planning With CNN
Author(s): Davide Caffagni Originally published on Towards AI. A convolutional neural network (CNN) is a popular model for solving tasks like image classification, segmentation, object detection, etc. This is an experiment to assess its application to solve simple 2D path planning problems. …
MLOps 3.3: Data-Centric Approach for Machine Learning Modeling
Author(s): Akhil Theerthala Originally published on Towards AI. Hello Everyone! This is Akhil Theerthala, with another installment of my MLOps series. Going back through my old notes, rewriting them, and reading them with fresh eyes has been a fantastic learning experience. Whenever …
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