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Ad Functionality Blocked
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\n It looks like your page is running in a sandbox that blocks certain functionality.\n This setting is preventing our ads from working properly.\n Please disable the sandbox restrictions or adjust your settings.\n
\n To continue playing please remove Sandbox from iframe tab or add "allow-popups" to Sandbox\n
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17 OCT 2024 - Welcome Back to TorrentFunk! Get your pirate hat back out. Streaming is dying and torrents are the new trend. Account Registration works again and so do Torrent Uploads. We invite you all to start uploading torrents again!
TORRENT DETAILS
[ WebToolTip.com ] Udemy - AI - ML Foundations For Absolute Beginners (AgenticAI + MLOps)
Level: All | Genre: eLearning | Language: English | Duration: 40 Lectures ( 4h 16m ) | Size: 3.35 GB
Build a Solid Conceptual Foundation on Machine Learning, Large Language Models (LLMs) and Agentic AI along with MLOps
What you'll learn
Learn What Machine Learning Really Is – Build a clear conceptual understanding of how machine learning works and how it differs from traditional programming.
Explore Key Types of Machine Learning – Get introduced to supervised, unsupervised, and reinforcement learning with simple, relatable explanations.
Understand the End-to-End ML Process – Learn the basic steps involved in building a machine learning model, from data preparation to evaluation.
Get Familiar with Popular ML Algorithms – Discover widely-used ML algorithms like linear regression, decision trees, and neural networks—without diving into hea
Introduction to Large Language Models (LLMs) – Understand how modern AI models like ChatGPT work, including concepts like tokens, transformers, and prompt engin
Discover the fundamentals of Agentic AI – including memory, planning, agent architectures, tools, and real-world use cases
Reflect on the ethical considerations of Agentic AI and how it ties into modern practices like DevOps and MLOps
Requirements
No programming or math background required. This course is designed for complete beginners. All concepts will be explained from scratch in a simple, intuitive way.
VISITOR COMMENTS (0 )
FILE LIST
Filename
Size
~Get Your Files Here !/1 - Introduction/1 -Section Intro.mp4
36.9 MB
~Get Your Files Here !/1 - Introduction/2 -Traditional Programming vs Machine Learning.mp4
131.2 MB
~Get Your Files Here !/1 - Introduction/3 -Supervised Learning.mp4
76.6 MB
~Get Your Files Here !/1 - Introduction/4 -Unsupervised Learning.mp4
76.6 MB
~Get Your Files Here !/1 - Introduction/5 -Reinforcement Learning.mp4
74.8 MB
~Get Your Files Here !/1 - Introduction/6 -Feature Engineering and Dataset Splitting.mp4
53.9 MB
~Get Your Files Here !/1 - Introduction/8 -How fit is your Model Evaluation and OverUnderfitting.mp4
47.3 MB
~Get Your Files Here !/1 - Introduction/9 -Hyperparameter Tuning and Balancing BiasVariance.mp4
58.5 MB
~Get Your Files Here !/2 - Introduction to Machine Learning Algorithms/1 -Section Intro.mp4
16.4 MB
~Get Your Files Here !/2 - Introduction to Machine Learning Algorithms/2 -Linear Regression.mp4
50.3 MB
~Get Your Files Here !/2 - Introduction to Machine Learning Algorithms/3 -Logistic Regression.mp4
26.6 MB
~Get Your Files Here !/2 - Introduction to Machine Learning Algorithms/4 -Decision Tree.mp4
28.2 MB
~Get Your Files Here !/2 - Introduction to Machine Learning Algorithms/5 -Random Forest.mp4
39.3 MB
~Get Your Files Here !/2 - Introduction to Machine Learning Algorithms/6 -Support Vector Machines (SVMs).mp4
25.3 MB
~Get Your Files Here !/2 - Introduction to Machine Learning Algorithms/7 -Neural Networks.mp4
45.2 MB
~Get Your Files Here !/2 - Introduction to Machine Learning Algorithms/8 -Boosting Algorithms.mp4
84.6 MB
~Get Your Files Here !/2 - Introduction to Machine Learning Algorithms/9 -Module Summary.mp4
29.7 MB
~Get Your Files Here !/3 - Large Language Models/1 -Section Intro.mp4
23.9 MB
~Get Your Files Here !/3 - Large Language Models/2 -What and How of Large Language Models (LLMs).mp4
47.6 MB
~Get Your Files Here !/3 - Large Language Models/3 -Tokens and Parameters.mp4
45.5 MB
~Get Your Files Here !/3 - Large Language Models/4 -Transformers and Attention Mechanism.mp4
47 MB
~Get Your Files Here !/3 - Large Language Models/5 -Pre Training and Fine Tuning of Foundational Models.mp4
35.5 MB
~Get Your Files Here !/3 - Large Language Models/6 -Prompt Engineering.mp4
69.4 MB
~Get Your Files Here !/3 - Large Language Models/7 -Limitations of LLMs.mp4
33.4 MB
~Get Your Files Here !/3 - Large Language Models/8 -Retrieval Augmented Generation (RAG).mp4
15.6 MB
~Get Your Files Here !/4 - Introduction to Agentic AI/1 -What is Agentic AI.mp4
13.1 MB
~Get Your Files Here !/4 - Introduction to Agentic AI/2 -What is Agentic AI.mp4
173.8 MB
~Get Your Files Here !/4 - Introduction to Agentic AI/3 -Goals and Tools.mp4
82 MB
~Get Your Files Here !/4 - Introduction to Agentic AI/4 -Memory and Planning.mp4
34.1 MB
~Get Your Files Here !/4 - Introduction to Agentic AI/5 -Agentic Architecture and Types of Agents.mp4
100.5 MB
~Get Your Files Here !/4 - Introduction to Agentic AI/6 -Multi Agents, Examples and Challenges.mp4
97.2 MB
~Get Your Files Here !/4 - Introduction to Agentic AI/7 -Agentic Devops, MLOps and Ethical Considerations.mp4
43.2 MB
~Get Your Files Here !/4 - Introduction to Agentic AI/8 -Module Summary.mp4
15.3 MB
~Get Your Files Here !/5 - Introduction to MLOps/1 -What is MLOps.mp4
353.6 MB
~Get Your Files Here !/5 - Introduction to MLOps/2 -Story of Evolution of MLOps, LLMOps and AgenticAIOps.mp4
308.5 MB
~Get Your Files Here !/5 - Introduction to MLOps/3 -Comparing Three Approach to AI - ML, LLM, Agentic.mp4
351 MB
~Get Your Files Here !/5 - Introduction to MLOps/4 -MLOps Case Studies - Learning from the Pioneers.mp4
124 MB
~Get Your Files Here !/5 - Introduction to MLOps/5 -Comparing Devops vs MLOps.mp4
286.8 MB
~Get Your Files Here !/5 - Introduction to MLOps/6 -Emergence of a MLOps Engineer.mp4