Prediction Machine

Machine Learning in Bioinformatics: From Theory to Practical  eBooks & eLearning

Posted by lucky_aut at April 18, 2025
Machine Learning in Bioinformatics: From Theory to Practical

Machine Learning in Bioinformatics: From Theory to Practical
Published 4/2025
Duration: 6h 5m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.25 GB
Genre: eLearning | Language: English

Machine Learning for Bioinformatics: Analyze Genomic Data, Predict Disease, and Apply AI to Life Sciences
Machine Learning for Knowledge Discovery with R: Methodologies for Modeling, Inference and Prediction

Machine Learning for Knowledge Discovery with R; Methodologies for Modeling, Inference, and Prediction
by Kao-Tai Tsai

English | 2021 | ISBN: 1032065362 | 261 pages | True PDF | 12.55 MB
Identification of Pathogenic Social Media Accounts: From Data to Intelligence to Prediction

Identification of Pathogenic Social Media Accounts: From Data to Intelligence to Prediction by Hamidreza Alvari
English | EPUB | 2021 | 100 Pages | ISBN : 3030614301 | 7.6 MB

This book sheds light on the challenges facing social media in combating malicious accounts, and aims to introduce current practices to address the challenges. It further provides an in-depth investigation regarding characteristics of “Pathogenic Social Media (PSM),”by focusing on how they differ from other social bots (e.g., trolls, sybils and cyborgs) and normal users as well as how PSMs communicate to achieve their malicious goals.
Supervised Machine Learning for Science: How to stop worrying and love your black box

Supervised Machine Learning for Science: How to stop worrying and love your black box
English | 2024 | ASIN: B0DLLGLMZJ | 312 pages | EPUB (True) | 14.10 MB

MACHINE LEARNING: A Step-by-Step Guide on Machine Learning for Absolute Beginners  eBooks & eLearning

Posted by Free butterfly at May 18, 2022
MACHINE LEARNING: A Step-by-Step Guide on Machine Learning for Absolute Beginners

MACHINE LEARNING: A Step-by-Step Guide on Machine Learning for Absolute Beginners by STEVE M BECKER
English | 2022 | ISBN: N/A | ASIN: B09VHBSKZZ | 132 pages | EPUB | 1.94 Mb

Supervised Machine Learning for Science: How to stop worrying and love your black box  eBooks & eLearning

Posted by arundhati at April 6, 2025
Supervised Machine Learning for Science: How to stop worrying and love your black box

Christoph Molnar, "Supervised Machine Learning for Science: How to stop worrying and love your black box"
English | ISBN: 3911578008 | 2024 | 274 pages | EPUB | 3 MB

Introduction to Machine Learning with Scikit-Learn  eBooks & eLearning

Posted by yoyoloit at June 16, 2021
Introduction to Machine Learning with Scikit-Learn

Introduction to Machine Learning with Scikit-Learn
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 1.21 GB | Duration: 2h 32m

AutoML Automated Machine Learning BootCamp (No Code ML)  eBooks & eLearning

Posted by yoyoloit at Jan. 22, 2023
AutoML Automated Machine Learning BootCamp (No Code ML)

AutoML Automated Machine Learning BootCamp (No Code ML)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz | Language: English | Duration: 1hr 4min | 435 MB
TIME SERIES ANALYSIS, FORECASTING, AND MACHINE LEARNING : Python Mastery for Beginners to Experts

TIME SERIES ANALYSIS, FORECASTING, AND MACHINE LEARNING : Python Mastery for Beginners to Experts
English | October 7, 2025 | ASIN: B0FV8TW13L | 170 pages | EPUB (True) | 213.25 KB

Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth  eBooks & eLearning

Posted by AvaxGenius at July 29, 2020
Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth

Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth by Atin Basuchoudhary
English | EPUB | 2017 | 97 Pages | ISBN : 3319690132 | 1.02 MB

This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer economic questions. While machine learning itself is not a new idea, advances in computing technology combined with a dawning realization of its applicability to economic questions makes it a new tool for economists.