Foundations of AI (Part-2) Neuroscience, Psychology, Computer Science

Foundations of AI (Part-1) Psychology & Mathematics

What is AI?

Clustering, Clustering methods: Partition and Hierarchical methods.

The CCR Model, Identification of Good operating Practices: Cross Efficiency, Virtual input/output

Data Envelopment Analysis (DEA): Efficiency Measures, Efficient Frontier.

Data Preparation: Data Validation, Data Transformation, Data Reduction.

Data Mining Analysis Methodologies. Supervised vs Unsupervised Learning.

Data Mining Definition and CRISP-DM

Classes of Models. Predictive, Pattern Recognition, Optimization, Project management, Risk Analysis.

Mathematical Model.

Decision Support System

Business Intelligence Architecture.

Data Information and Knowledge

Business intelligence: INTRODUCTION

Limitations of NoSQL, SQL vs NoSQL. Categories of NoSQL databases.

NoSQL, ACID vs BASE, CAP Theorem, Advantages of NoSQL.

BIG DATA Challenges and Technologies.

BIG DATA Introduction

API Introduction, Scraping, Clockodillo.

Day-5 Recreating My First Video. "Introduction to Business Intelligence"

Day-4 Top Five Videos. Celebrating 5 Years on YouTube.

Day-3 Top Five underrated videos. Celebrating 5 Years on YouTube.

Day-2 Top Five Milestones. Celebrating 5 Years on YouTube.

Day-1 Your Voice Matters. Five years of growing together.

Practical-7 (a) Table Join. Managing data tables and Spatial data sets.

Neighbourhood functions

Overlay function. Vector overlay operators, Raster overlay operators

Interpolation: Interpolating Continuous Data

Interpolation: Interpolating Discrete Data

Practical-10 Automating Map Creation with Print Composer Atlas

Absolute positioning, Relative positioning, Network positioning.

Satellite-based positioning

Map Projections.

Spatial Referencing and Coordinate System.

Linking GIS and DBMS.

Stages of Spatial Data Handling.

GIS Software, GIS Architecture and functionality, Spatial Data Infrastructure (SDI)

Vector Representations

Regular tessellations, Irregular tessellations.

Geographic Phenomena.

The real world and representations of it.

Introduction to GIS.

Exam Essentials: Key Patterns & Must-Know Questions

Manufacturing PCB, Etching Board, Milling Board, Third Party Manufacturing, Assembly, Testing.

Designing PCB, Software Choices, Design Process.

Funding an IOT Start-up, Venture Capital, Government Funding, Crowdfunding, Lean Start-ups.

Business Model, History of business model, Types of business model used in IOT.

Performance and Battery Life, Libraries, Debugging.

Memory management, Types of Memory, Making the most of your RAM.

CNC Milling, Repurposing/Recycling

3D printing, Types of 3D Printing.

Laser cutting, Choosing a laser cutter, Software, Hinges and Joints.

Sketch, Iterate and Explore, Nondigital Methods

Raspberry Pi versus Arduino.

Raspberry Pi, Developing on the Raspberry Pi.

Arduino, Developing on the Arduino.

Prototyping Embedded Devices. Sensors and Actuators.

Why Closed? Why Open? Mixing Open and Closed Source.

Climbing into the cloud, Open source vs Closed source.