Category: Video Tutorials

AWS Certified AI Practitioner (AIF-C01) (Video Course) 0

Cloud Computing / Computer Science & Computer Engineering / Video Tutorials

AWS Certified AI Practitioner (AIF-C01) (Video Course)

AWS Certified AI Practitioner (AIF-C01) (Video Course) English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 5h 43m | 1.51 GB AWS Certified AI Practitioner (AIF-C01) (Video Course): Learn core AWS AI skills and ace the AWS AI Practitioner AIF-C01 exam! Review all exam objectives and prepare for the AWS Certified AI Practitioner AIF-C01 exam. Learn how to use AI and AI in AWS solutions. Explore foundation models, prompt engineering techniques, responsible AI, and security and compliance for AI workloads. Get question breakdowns to validate your knowledge, acquire strategies, and embrace best practices. AWS Certified AI Practitioner (AIF-C01)...

Python Data Visualization: Create impactful visuals, animations and dashboards (Video Course) 0

Databases & Big Data / Programming / Video Tutorials

Python Data Visualization (Video Course)

Python Data Visualization: Create impactful visuals, animations and dashboards (Video Course) English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 6h 36m | 1.49 GB Author of this Python Data Visualization (Video Course), Bruno Gonçalves is a senior data scientist in the area of complex systems, human behavior, and finance. He has been programming in Python since 2005. For more than ten years, his work has focused on analyzing large-scale social media datasets for the temporal analysis of social behavior.

Java Fundamentals with Paul Deitel Parts I, II, III, IV and V (Video Course), 3rd Edition 0

Programming / Software Development / Video Tutorials

Java Fundamentals with Paul Deitel Parts I, II, III, IV and V (Video Course), 3rd Edition

Java Fundamentals with Paul Deitel Parts I, II, III, IV and V (Video Course), 3rd Edition English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 10h 17m | 2.02 GB Written for programmers with a background in high-level language programming, this Java Fundamentals with Paul Deitel Parts I, II, III, IV and V (Video Course), 3rd Edition LiveLesson applies the Deitel signature live-code approach to teaching programming and explores the Java language and Java APIs in depth. The Java Fundamentals with Paul Deitel, 3rd Edition LiveLesson presents concepts in the context of fully tested programs, not code fragments....

Multimodal AI Essentials: Merging Text, Image, and Audio for Next-Generation AI Applications (Video Course) 0

Computer Science & Computer Engineering / Video Tutorials

Multimodal AI Essentials: Merging Text, Image, and Audio for Next-Generation AI Applications (Video Course)

Multimodal AI Essentials: Merging Text, Image, and Audio for Next-Generation AI Applications (Video Course) English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 5h 33m | 2.01 GB Multimodal AI Essentials: Merging Text, Image, and Audio for Next-Generation AI Applications (Video Course): Equips you with the knowledge and skills needed to implement multimodal AI systems. Multimodal AI Essentials: Merging Text, Image, and Audio for Next-Generation AI Applications (Video Course) shows you how combining modalities like text, audio, video, and images can enable AI systems to achieve remarkable capabilities. You will gain hands-on experience building visual question and answering...

Outlier Detection in Python, Video Edition 0

Algorithms & Cryptography / Computer Science & Computer Engineering / Databases & Big Data / Video Tutorials

Outlier Detection in Python, Video Edition

Outlier Detection in Python, Video Edition English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 19h 35m | 3.37 GB Outlier Detection in Python, Video Edition: Learn how to identify the unusual, interesting, extreme, or inaccurate parts of your data. Data scientists have two main tasks: finding patterns in data and finding the exceptions. These outliers are often the most informative parts of data, revealing hidden insights, novel patterns, and potential problems. Outlier Detection in Python, Video Edition is a practical guide to spotting the parts of a dataset that deviate from the norm, even when they’re hidden...