آموزش مبانی هوش مصنوعی برای متخصصان غیر از حوزه داده - آخرین آپدیت

titleModule 1 – Big Data and Artificial Intelligence Module 1 – Big Data and Artificial Intelligence

• titleAI for Business Introduction AI for Business Introduction

• titleCourse Introduction Course Introduction

• titleBig Data Overview Big Data Overview

• titleBig Data Analysis Big Data Analysis

• titleData Management Tools Data Management Tools

• titleData Management Infrastructure Data Management Infrastructure

• titleData Analysis: Extracting Intelligence from Big Data Data Analysis: Extracting Intelligence from Big Data

• titleIntroduction to Artificial Intelligence Introduction to Artificial Intelligence

• titleMachine Learning Overview Machine Learning Overview

• titleReinforcement Learning Reinforcement Learning

• titleA Detailed View of Machine Learning A Detailed View of Machine Learning

titleModule 2 – Training and Evaluating Machine Learning Algorithms Module 2 – Training and Evaluating Machine Learning Algorithms

• titleSpecific Machine Learning Methods: A Deep Dive Specific Machine Learning Methods: A Deep Dive

• titleIntro to Model Selection Intro to Model Selection

• titleFeature Engineering and Deep Learning Introduction Feature Engineering and Deep Learning Introduction

• titleDeep Learning Deep Learning

• titleHow Deep Learning Works How Deep Learning Works

• titleLimitations of Deep Learning Limitations of Deep Learning

• titleEvaluating ML Performance Evaluating ML Performance

• titleCommon Loss Functions Common Loss Functions

• titleTradeoffs Between Loss Functions Tradeoffs Between Loss Functions

• titleHow is Training Data Acquired? How is Training Data Acquired?

• titleThe Over Fitting Problem The Over-Fitting Problem

• titleTest Data Test Data

• titleExamples of End to End Work Flow Examples of End-to-End Work Flow

titleModule 3 – ML Application and Emerging Methods Module 3 – ML Application and Emerging Methods

• titleNatural Language Processing Natural Language Processing

• titleGANs and VAEs GANs and VAEs

• titleIntro to AutoML Intro to AutoML

• titleUsing AutoML Using AutoML

• titleTeachable Machine Teachable Machine

• titleTensorFlow Playground TensorFlow Playground

• titleML Operations ML Operations

• titleChicken and Egg Chicken and Egg

titleModule 4 – Industry Interview Module 4 - Industry Interview

• titleInterview With Ed Lee Interview With Ed Lee

titleModule 5 – Generative AI Module 5 - Generative AI

• titleGenerative AI Overview Generative AI Overview

• titleImplications of Generative AI on Work Implications of Generative AI on Work

• titleGenerative AI's Implication on Productivity Generative AI's Implication on Productivity

• titleThe Generative AI Stack The Generative AI Stack

• titleFoundation Models Foundation Models

• titlePrompt Engineering Principles Improving Output Quality Prompt Engineering Principles Improving Output Quality

• titleCustomizing LLM Output Customizing LLM Output

• titleDifferentiation Gaining Competitive Advantage Differentiation Gaining Competitive Advantage