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Technology

Who We Are

Click the Links Below to Explore the Resources for Learning Tech Languages

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Algorithmic Approach to Code​​​ - Example

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Python Code - Example

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​​Key Code Structure Comparison: C, Java, and Python

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​Programming Languages​​

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Cobol

C#

C++

Fortran

Java

Julia

Golang

Kotlin

MATLAB

Prolong

Python

Ruby

Scratch

Snap

Swift

TypeScript

Visual Basic​

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Query Languages

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AQL

Cypher

Datalog​

GraphQL

Gremlin

JSONiq

MDX

SPARQL

Structured Query Language

XQuery

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Scripting Languages

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AWK

Bash

Lua

JavaScript

Perl

PHP

Python

PowerShell

Ruby

TCL

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IDEs and Code Editors

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Atom

Android Studio

BlueJ

Eclipse

IntelliJ IDEA

PyCharm

Replit

Sublime Textl

Visual Studio

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Mark-up Languages

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Hypertext Mark-up Language (HTML)

Extensible Mark-up Language (XML)

JSON

Markdown

LATEx

YAML

SVG

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Website and App Development Platforms

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WIX

Google Sites

Wordpress

MIT App Inventor

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Resources for Learning the Languages

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Code.org​​

Coursera

Crashcourse

GeeksforGeeks

Khan Academy

W3Schools

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Recognized Tech Days

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Artificial Intelligence Appreciation Day

​Computer Science Education Week

International Programmers' Day

National Coding Week

National Robotics Week

National Technology Day

Teen Tech Week

World Computer Day

World Computer Literacy Day

World Internet Day

World IoT Day

World Wide Web Day

Artificial Intelligence (AI)

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Cognitive Computing 

Pattern Recognition

Knowledge Representation and Reasoning 

   - Knowledge Graphs

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Machine Learning (ML) 

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   - Learning Paradigms

      - Supervised Learning

      - Unsupervised Learning

      - Reinforcement Learning

      - Self-Supervised Learning

      - Few-Shot and Zero-Shot Learning

      - Federated Learning

      - Human-in-the-Loop Learning

      - AutoML

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   - ML Frameworks and Libraries

      - TensorFlow

      - PyTorch

      - Keras

      - Scikit-Learn​

      - JAX

      - Hugging Face Transformers

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   - MLOps and Deployment

      ​- Model Deployment

      - Model Versioning

      - Monitoring and Maintenance

      - Model Serving and Containerization

      - ML in Production

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Deep Learning Algorithms

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   - Neural Networks

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      - Feedforward Neural Networks (FNNs)

      - Convolutional Neural Networks (CNNs)

      - Recurrent Neural Networks (RNNs)

      - Autoencoders

      - Transformers (for NLP and Generative AI)

      - Generative Adversarial Networks (GANs)

      - Graph Neural Networks (GNNs)

      - Training Techniques

      - Transfer Learning

      - Diffusion Models 

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Natural Language Processing (NLP)

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   - Natural Language Understanding (NLU)

   - Natural Language Generation (NLG)

   - Language Modeling

   - Automatic Speech Recognition (ASR)

   - Sentiment Analysis

   - Named Entity Recognition (NER)
   - Machine Translation

   - Text Summarization

   - Question Answering

   - Conversational AI / Chatbots

   - Voice Assistants

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Computer Vision

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   - Image Classification

   - Object Detection

   - Image Segmentation

   - Facial Recognition

   - Pose Estimation

   â€‹- 3D Reconstruction​

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Robotics and Autonomous Systems

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   - Robot Perception

   - Motion Planning

   - Autonomous Vehicles

   - Simultaneous Localization and Mapping (SLAM)

   - Robot Control Systems

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Generative AI

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   - Foundation Models

   - Multimodal AI

   - Image Generation

   - Text-to-Speech / Speech-to-Text

   - Code Generation

   - Video Generation

   - Text-to-Image / Text-to-Video

   - Reinforcement Learning from Human Feedback (RLHF)

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Data Science and Analytics

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   - Data Wrangling and Cleaning

   - Data Analysis

   - Statistics and Probability

   - Data Visualization

      - Matplotlib

      - Seaborn

      - Plotly

      - Tableau

      - Power BI

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Data Management and Engineering

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   - SQL and NoSQL Databases

   - Big Data 

   - Data Pipelines

   - Data Version Control

   - Cloud Computing 

   - Data Lakes and Warehouses

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AI Hardware and Optimization

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   - GPUs

   - TPUs

   - ASICs (Application-Specific Integrated Circuits)

   - FPGAs (Field-Programmable Gate Arrays)

   - Model Compression and Optimization

   - Edge AI Hardware

   - AI + IoT (AIoT)

   - Quantum Computing for AI

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AI Ethics and Explainability

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   - Fairness and Bias Mitigation

   - Explainable AI (XAI)

   - AI Governance and Regulations

   - Privacy and Data Security

   - AI Safety and Alignment

   â€‹- Responsible AI

   - Model and Ethical Auditing

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AI Applications and Industry Use Cases

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   - Healthcare

   - Finance

   - Autonomous Vehicles

   - Robotics

   - Education

   - Agriculture

   - Entertainment

   - Marketing

Algorithmic Approach to Code​​​ - Example

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Python Code - Example

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Key Code Structure Comparison - C, Java, and Python

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