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Best Data Science Books - Free and Paid - Editorial Recommendations for 2022
Source: Photo by Ivo Rainha on Unsplash For the past year, we have looked at over 23,000 [1] data science books, and we have picked what we consider to be the best paid and free books in terms of technicality, ability to explain …
Mean Average Precision for Clients
Author(s): Alexey Poddiachyi Non-technical explanation of Mean Average Precision metric Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
The Beginners’ Guide to Elasticsearch — Part 3
Author(s): Chetan Ambi Installation steps for Elasticsearch and Kibana, indexing and retrieving the documents Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Moment Generating Function Tutorial
Source: Pexels Diving into the Moment Generation Function for probability distribution with a complete derivation and code examples in Python Author(s): Pratik Shukla, Roberto Iriondo This tutorial’s code is available on Github and its full implementation as well on Google Colab. Table of …
The Beginners’ Guide to Elasticsearch — Part 2
Author(s): Chetan Ambi Key concepts such as nodes, indices, shards, documents, replicated explained clearly Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Learning Data Science Has Never Been Easier
Author(s): Benjamin Obi Tayo Ph.D. In the modern age of information technology, there is an enormous amount of free resources for data science self-study Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Sentence Embeddings with sentence-transformers library
Author(s): Chetan Ambi Multilingual Sentence Embeddings using BERT / RoBERTa / XLM-RoBERTa & Co. with PyTorch Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
The Beginners’ Guide to Elasticsearch — Part 1
Author(s): Chetan Ambi A brief introduction to Elasticsearch Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Top 10 most used Pandas features in a Data Science Project
Author(s): neupane parlad There are many tutorials about pandas on internet and books. Pandas library is one of the most used library by data scientist and data… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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 …
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 …
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 …
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 AI — Multidisciplinary Science Journal » 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 AI — Multidisciplinary Science Journal » Published via Towards AI …
Boost Your Data Science Resume
Author(s): Benjamin Obi Tayo Ph.D. In a large field of job candidates, it can be challenging to set yourself apart. Showcasing your skills & portfolio is a good starting… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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