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E-BooksScutari M The Pragmatic Programmer for Machine Learning 2023




Scutari M  The Pragmatic Programmer for Machine Learning   2023

Scutari M The Pragmatic Programmer for Machine Learning 2023 | 7.68 MB
N/A | 357 Pages

Title: The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions
Author: Marco Scutari
Year: N/A




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E-BooksKabir A Learn ChatGPT The Future of Learning 2022




Kabir A  Learn ChatGPT  The Future of Learning 2022

Kabir A Learn ChatGPT The Future of Learning 2022 | 1.02 MB
N/A | 34 Pages

Title: Learn ChatGPT: The Future of Learning
Author: A.A. KABIR
Year: N/A




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E-BooksSheremet I Machine Learning Multi-Agent Technologies 2023




Sheremet I  Machine Learning  Multi-Agent Technologies 2023

Sheremet I Machine Learning Multi-Agent Technologies 2023 | 15.12 MB
N/A | 109 Pages

Title: N/A
Author: ITexLi - Спизжено у exLib : https://avxhm.se/blogs/exLib
Year: N/A




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Video TrainingLearning Needs Analysis Practitioner Program



Learning Needs Analysis Practitioner Program
Free Download Learning Needs Analysis: Practitioner Program
Published 3/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.89 GB | Duration: 4h 1m
A practical, step-by-step guide for L&D professionals to gathering and analysing an organization's learning needs.



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Video TrainingAWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep 4 Machine Learning Implementation and Operations



AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep 4 Machine Learning Implementation and Operations
Free Download AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 4 Machine Learning Implementation and Operations
Released 3/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 25m | Size: 313 MB
Join MLOps expert and CTO Noah Gift to learn all about data engineering and prepare for the machine learning implementation and operations portion of the AWS Certified Machine Learning – Specialty (MLS-C01) certification. This domain involves building machine learning solutions that are performance, available, scalability, resiliency, and fault tolerant. Noah explains using AWS environment logging and monitoring, building error monitoring, and using multiple regions and multiple AZs. He goes over how to use AMI/golden images and docker containers. Noah covers auto-scaling groups, as well as rightsizing instances, volumes, and provisioned IOPS. Plus, he shows you how to use load balancing and follow AWS best practices.



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Video TrainingAWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep 3 Modeling



AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep 3 Modeling
Free Download AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 3 Modeling
Released 3/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 32m | Size: 393 MB
Join MLOps expert and CTO Noah Gift to learn all about data engineering and prepare for the modeling portion of the AWS Certified Machine Learning – Specialty (MLS-C01) certification. Noah explains when to use machine learning, the difference between supervised and unsupervised learning, and the types of models that are available. He shows you how to train the model using the appropriate data. This process includes splitting the data into training and validation sets, choosing the right optimizer and loss function, and understanding the trade-offs between different model choices. After the model is trained, Noah guides you through how to evaluate it to ensure that it is performing well. This evaluation includes choosing the right metrics, understanding the confusion matrix, and performing cross-validation. Finally, Noah goes over how to interpret the model to understand what it is doing and how it can be improved.



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Video TrainingSaas Learning The Basics



Saas Learning The Basics
Free Download Saas: Learning The Basics
Published 3/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 142.76 MB | Duration: 0h 43m
A Guide For NEWCOMERS



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Video TrainingPyTorch for Deep Learning Bootcamp Zero to Mastery



PyTorch for Deep Learning Bootcamp Zero to Mastery
Free Download PyTorch for Deep Learning Bootcamp: Zero to Mastery
Published 3/2023
Created by Navid Shirzadi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 39 Lectures ( 9h 8m ) | Size: 2.95 GB



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Video TrainingBuild Learning Agility on Your Team as a Manager



Build Learning Agility on Your Team as a Manager
Free Download Build Learning Agility on Your Team as a Manager
Released 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner + Intermediate | Genre: eLearning | Language: English + srt | Duration: 43m | Size: 350 MB
Traditional approaches to both leadership and learning have changed due to global developments in technology, workforce requirements, and customer demand. Organizations are finding it tougher to find their competitive edge, and the best people to deliver it. It's getting harder to recruit at the levels required, so organizations are now focusing more on developing internal talent to deliver the largest impact.



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



AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep 2 Exploratory Data Analysis
Free Download AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 2 Exploratory Data Analysis
Released: 02/2023
Duration: 18m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 218 MB
Level: Intermediate | Genre: eLearning | Language: English
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 engineering, and data visualization are essential for machine learning. He starts by covering data preparation for modeling, detailing how to identify and handle missing data; format, normalize, augment, and scale data; and data labeling tools. He then gets into feature engineering, the process of identifying and extracting features from data sets. Finally, Noah covers data visualization, illustrating graphs and clustering visualizations like scatterplots, histograms, box plots, and elbow plots.



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