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  • Machine Learning and Data Mining in Pattern Recognition 8th International Conference

    Themelli

    Machine Learning and Data Mining in Pattern Recognition 8th International Conference

    English | PDF | 2012 | 681 Pages | ISBN : 3642315364 | 19.3 MB


    This book constitutes the refereed proceedings of the 8th International Conference, MLDM 2012, held in Berlin, Germany in July 2012. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific...

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  • Google BigQuery The Definitive Guide Data Warehousing, Analytics, and Machine Learning at Scale (True PDF)

    Themelli

    Google BigQuery The Definitive Guide Data Warehousing, Analytics, and Machine Learning at Scale (True PDF)

    English | October 23rd, 2019 | ISBN: 1492044466 | 498 pages | True PDF |...


    Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query ee that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a...

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  • AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep 2 Exploratory Data Analysis

    Themelli

    AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep 2 Exploratory Data Analysis

    Released: 02/2023Duration: 18m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 218...


    Join MLOps expert and CTO Noah Gift to learn all about the exploratory data analysis portion of the AWS Certified Machine Learning – Specialty (MLS-C01) certification. In this course, Noah explains how data preparation, feature eeering, and data visualization are essential for machine learning. He starts by covering data preparation...

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  • Machine Learning Interviews (First Early Release)

    Themelli

    Machine Learning Interviews (First Early Release)

    English | 2022 | ISBN: 9781098146535 | 37 pages | True EPUB, MOBI | 3.14...


    As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows...

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  • Math 0-1 Calculus For Data Science & Machine Learning

    Themelli

    Math 0-1 Calculus For Data Science & Machine Learning

    Published 2/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 3.21...


    A Casual Guide for Artificial Intelligence, Deep Learning, and Python Programmers What you'll learn Limits, limit definition of derivative, derivatives from first principles Derivative rules (chain rule, product rule, quotient rule, implicit differentiation) Integration, area under curve, fundamental theorem of calculus Vector calculus, partial derivatives, gradient, Jacobian, Hessian, steepest ascent...

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  • Machine Learning and AI Foundations Decision Trees with SPSS

    Themelli

    Machine Learning and AI Foundations Decision Trees with SPSS

    Duration: 1h 16m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 191...


    Many data science specialists are looking to pivot toward focusing on machine learning. This course covers the essentials of machine learning, including predictive analytics and working with decision trees. Explore several popular tree algorithms and learn how to use reverse eeering to identify specific variables. Demonstrations of using the IBM...

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  • Machine Learning and AI Foundations Clustering and Association

    Themelli

    Machine Learning and AI Foundations Clustering and Association

    Duration: 3h 22m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 532...


    Unsupervised learning is a type of machine learning where algorithms parse unlabeled data. The focus is not on sorting data into known categories but uncovering hidden patterns. Unsupervised learning plays a big role in modern marketing sntation, fraud detection, and market basket analysis. This course shows how to use leading...

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  • Amazon Web Services Machine Learning Essential Training

    Themelli

    Amazon Web Services Machine Learning Essential Training

    Duration: 3h 7m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 528...


    Web Services (AWS) offers a wealth of services and tools that help data scientists leverage machine learning to craft better, more intelligent solutions. In this course, learn about patterns, services, processes, and best practices for designing and implementing machine learning using AWS. Instructor Lynn La takes a look at general...

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  • Data Science, Analytics and Machine Learning with R (True PDF)

    Themelli

    Data Science, Analytics and Machine Learning with R (True PDF)

    English | 2023 | ISBN: 012824271X | 621 pages | True PDF | 97.73 MB


    Data Science, Analytics and Machine Learning with R explains the principles of data mining and machine learning techniques and accentuates the importance of applied and multivariate modeling. The book emphasizes the fundamentals of each technique, with step-by-step codes and real-world examples with data from areas such as medicine and health,...

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  • Machine Learning & AI Foundations Linear Regression

    Themelli

    Machine Learning & AI Foundations Linear Regression

    Duration: 3h 57m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 627...


    Having a solid understanding of linear regression—a method of modeling the relationship between one dependent variable and one to several other variables—can help you solve a multitude of real-world problems. Applications areas involve predicting virtually any numeric value including housing values, customer spend, and stock prices. This course reveals the...

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  • Building a Recommendation System with Python Machine Learning & AI

    Themelli

    Building a Recommendation System with Python Machine Learning & AI

    Duration: 1h 38m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 177...


    Discover how to use Python—and some essential machine learning concepts—to build programs that can make recommendations. In this hands-on course, Lillian Pierson, P.E. covers the different types of recommendation systems out there, and shows how to build each one. She helps you learn the concepts behind how recommendation systems work...

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  • Machine Learning & AI Foundations: Linear Regression

    Gamystyle

    Machine Learning & AI Foundations: Linear Regression

    https://www.linkedin.com/learning/machine-learning-ai-foundations-linear-regression Having a solid understanding of linear regression—a method of modeling the relationship between one...





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  • Building a Recommendation System with Python Machine Learning & AI

    Gamystyle

    Building a Recommendation System with Python Machine Learning & AI

    https://www.linkedin.com/learning/building-a-recommendation-system-with-python-machine-learning-ai Discover how to use Python—and some essential machine learning concepts—to build programs that can...





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  • Machine Learning and AI Foundations: Decision Trees with SPSS

    Gamystyle

    Machine Learning and AI Foundations: Decision Trees with SPSS

    https://www.linkedin.com/learning/machine-learning-and-ai-foundations-decision-trees-with-spss Many data science specialists are looking to pivot toward focusing on machine learning....





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  • Machine Learning and AI Foundations: Clustering and Association

    Gamystyle

    Machine Learning and AI Foundations: Clustering and Association

    https://www.linkedin.com/learning/machine-learning-and-ai-foundations-clustering-and-association Unsupervised learning is a type of machine learning where algorithms parse unlabeled data. The...





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  • Machine Learning, Big Data, and IoT for Medical Informatics (True EPUB)

    Themelli

    Machine Learning, Big Data, and IoT for Medical Informatics (True EPUB)

    English | 2021 | ISBN: 0128217774 | 679 pages | True EPUB | 41.69 MB


    Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics. In medical informatics, machine learning, big data, and IOT-based techniques play a significant role in disease diagnosis and its prediction. In the medical field, the structure of data is...

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  • Machine Learning Guide for Oil and Gas Using Python

    Themelli

    Machine Learning Guide for Oil and Gas Using Python

    English | 2021 | ISBN: 0128219297 | 544 pages | True EPUB | 115.18 MB


    Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help eeers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The reference moves from explaining how Python works...

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  • Machine Learning & AI Foundations: Linear Regression

    Gamystyle

    Machine Learning & AI Foundations: Linear Regression

    https://www.linkedin.com/learning/machine-learning-ai-foundations-linear-regression Having a solid understanding of linear regression—a method of modeling the relationship between one...





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  • Machine Learning and AI Foundations: Clustering and Association

    Gamystyle

    Machine Learning and AI Foundations: Clustering and Association

    https://www.linkedin.com/learning/machine-learning-and-ai-foundations-clustering-and-association Unsupervised learning is a type of machine learning where algorithms parse unlabeled data. The...





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  • Machine Learning and Data Mining for Sports Analytics 9th International Workshop

    Themelli

    Machine Learning and Data Mining for Sports Analytics 9th International Workshop

    English | 2023 | ISBN: 3031275268 | 135 pages | True PDF,EPUB | 23.47 MB


    This book constitutes the refereed proceedings of the 9th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2022, held in Grenoble, France, during September 19, 2022. The 10 full papers included in this book were carefully reviewed and selected from 18 submissions. They were organized in...

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