Linkedin - AI Fundamentals For Data Professionals

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Linkedin - AI Fundamentals for Data Professionals

NAME
Linkedin - AI Fundamentals for Data Professionals.torrent
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ed25583d406a7cf8d7d8c98e5e7e87694130fece
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197 MB in 39 files
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Uploaded on 01-01-2024 by our crawler pet called "Spidey".
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Description

[ FreeCourseWeb.com ] AI Fundamentals for Data Professionals



If You Need More Stuff, kindly Visit and Support Us -->> https://FreeCourseWeb.com







Released 12/2023

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 7m | Size: 197 MB



If you currently work as a data professional or are looking to land a role in the field, you need to build a foundational understanding of AI concepts, techniques, and tools in order to truly leverage AI and ML effectively. Join instructor Sadie St. Lawrence to learn how to optimize data-driven decision-making processes within your organization by developing in-demand AI and ML skills. Get equipped with essential knowledge for data professionals to stay relevant and competitive in this ever-evolving field, as AI continues to transform the way we work with and understand the value of data. Explore popular tools such as PyTorch, scikit-learn, Keras, XGBoost, and Hugging Face as well as core concepts in data and feature engineering, machine learning, AI ethics, and more.





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We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...



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Files in this torrent

FILENAMESIZE
~Get Your Files Here !/01 - Introduction/01 - Introduction.mp45.8 MB
~Get Your Files Here !/01 - Introduction/01 - Introduction.srt1.9 KB
~Get Your Files Here !/02 - 1. Introduction to AI and Machine Learning/01 - AI and machine learning overview.mp413.8 MB
~Get Your Files Here !/02 - 1. Introduction to AI and Machine Learning/01 - AI and machine learning overview.srt6.1 KB
~Get Your Files Here !/02 - 1. Introduction to AI and Machine Learning/02 - Types of machine learning.mp412.3 MB
~Get Your Files Here !/02 - 1. Introduction to AI and Machine Learning/02 - Types of machine learning.srt5.8 KB
~Get Your Files Here !/02 - 1. Introduction to AI and Machine Learning/03 - Popular AI and ML tools.mp412.4 MB
~Get Your Files Here !/02 - 1. Introduction to AI and Machine Learning/03 - Popular AI and ML tools.srt5.5 KB
~Get Your Files Here !/02 - 1. Introduction to AI and Machine Learning/04 - AI applications and use cases.mp48.9 MB
~Get Your Files Here !/02 - 1. Introduction to AI and Machine Learning/04 - AI applications and use cases.srt4.3 KB
~Get Your Files Here !/03 - 2. Data and Feature Engineering/01 - Data types and sources.mp49.9 MB
~Get Your Files Here !/03 - 2. Data and Feature Engineering/01 - Data types and sources.srt5.4 KB
~Get Your Files Here !/03 - 2. Data and Feature Engineering/02 - Exploratory data analysis (EDA).mp49.1 MB
~Get Your Files Here !/03 - 2. Data and Feature Engineering/02 - Exploratory data analysis (EDA).srt4.9 KB
~Get Your Files Here !/03 - 2. Data and Feature Engineering/03 - Data preprocessing techniques.mp48.9 MB
~Get Your Files Here !/03 - 2. Data and Feature Engineering/03 - Data preprocessing techniques.srt4.5 KB
~Get Your Files Here !/03 - 2. Data and Feature Engineering/04 - Feature engineering.mp49.1 MB
~Get Your Files Here !/03 - 2. Data and Feature Engineering/04 - Feature engineering.srt4.7 KB
~Get Your Files Here !/04 - 3. High-Level Machine Learning Techniques/01 - Supervised learning overview.mp49.1 MB
~Get Your Files Here !/04 - 3. High-Level Machine Learning Techniques/01 - Supervised learning overview.srt5.8 KB
~Get Your Files Here !/04 - 3. High-Level Machine Learning Techniques/02 - Unsupervised learning overview.mp49.1 MB
~Get Your Files Here !/04 - 3. High-Level Machine Learning Techniques/02 - Unsupervised learning overview.srt4.9 KB
~Get Your Files Here !/04 - 3. High-Level Machine Learning Techniques/03 - Reinforcement learning overview.mp413.3 MB
~Get Your Files Here !/04 - 3. High-Level Machine Learning Techniques/03 - Reinforcement learning overview.srt6.1 KB
~Get Your Files Here !/04 - 3. High-Level Machine Learning Techniques/04 - Deep learning overview Part 1.mp414.3 MB
~Get Your Files Here !/04 - 3. High-Level Machine Learning Techniques/04 - Deep learning overview Part 1.srt6.4 KB
~Get Your Files Here !/04 - 3. High-Level Machine Learning Techniques/05 - Deep learning overview Part 2.mp410.9 MB
~Get Your Files Here !/04 - 3. High-Level Machine Learning Techniques/05 - Deep learning overview Part 2.srt5.6 KB
~Get Your Files Here !/05 - 4. Implementation and Future Trends/01 - Model evaluation and validation.mp48.7 MB
~Get Your Files Here !/05 - 4. Implementation and Future Trends/01 - Model evaluation and validation.srt5 KB
~Get Your Files Here !/05 - 4. Implementation and Future Trends/02 - AI project lifecycle.mp49.8 MB
~Get Your Files Here !/05 - 4. Implementation and Future Trends/02 - AI project lifecycle.srt5.3 KB
~Get Your Files Here !/05 - 4. Implementation and Future Trends/03 - AI ethics and bias Part 1.mp412.1 MB
~Get Your Files Here !/05 - 4. Implementation and Future Trends/03 - AI ethics and bias Part 1.srt6.5 KB
~Get Your Files Here !/05 - 4. Implementation and Future Trends/04 - AI ethics and bias Part 2.mp410.5 MB
~Get Your Files Here !/05 - 4. Implementation and Future Trends/04 - AI ethics and bias Part 2.srt5.4 KB
~Get Your Files Here !/06 - Conclusion/01 - Bring it all together.mp49 MB
~Get Your Files Here !/06 - Conclusion/01 - Bring it all together.srt4.8 KB
~Get Your Files Here !/Bonus Resources.txt386 B

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