How Machine Learning uses Linear Algebra to solve data problems

Harshit Tyagi · Beginner ·📐 ML Fundamentals ·4y ago
Use code STUDENT10 to get $10 off! Course: https://www.wiplane.com/p/foundations-for-data-science-ml In case of any queries, reach out at harshit@wiplane.com You can connect with me via: Newsletter: https://dswharshit.substack.com/ LinkedIn: https://www.linkedin.com/in/tyagiharshit/ Medium: https://dswharshit.medium.com/ Twitter: https://twitter.com/dswharshit
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Playlist

Playlist UUH-xwLTKQaABNs2QmGxK2bQ · Harshit Tyagi · 40 of 60

1 Your PATH to learning Data Science
Your PATH to learning Data Science
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2 Ideal Python environment setup for Data Science projects - Unix shell, Anaconda and Git.
Ideal Python environment setup for Data Science projects - Unix shell, Anaconda and Git.
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3 Building COVID-19 interactive dashboard from Jupyter Notebook | No frontend/backend coding required.
Building COVID-19 interactive dashboard from Jupyter Notebook | No frontend/backend coding required.
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4 Introduction to Jupyter Notebooks - Interface | Ipython Kernel | Sharing | GitHub
Introduction to Jupyter Notebooks - Interface | Ipython Kernel | Sharing | GitHub
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5 Python fundamentals for Data Science - Part  1 | Data types | Strings | Lists
Python fundamentals for Data Science - Part 1 | Data types | Strings | Lists
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6 Python fundamentals for Data Science - Part 2 Dictionaries | Conditionals | Loops | Functions
Python fundamentals for Data Science - Part 2 Dictionaries | Conditionals | Loops | Functions
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7 Python fundamentals for Data Science - Part 3 OOPS | Working with External Libraries & Modules
Python fundamentals for Data Science - Part 3 OOPS | Working with External Libraries & Modules
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8 NumPy Essentials for Data Science - part-1 | One Dimensional Array
NumPy Essentials for Data Science - part-1 | One Dimensional Array
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9 NumPy Essentials for Data Science - part-2 | Multi-Dimensional Array
NumPy Essentials for Data Science - part-2 | Multi-Dimensional Array
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10 Math For Data Science | Practical reasons to learn math for Machine/Deep Learning
Math For Data Science | Practical reasons to learn math for Machine/Deep Learning
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11 Linear Algebra Ep 1 | Introduction to Vectors, Matrices and Tensors using NumPy
Linear Algebra Ep 1 | Introduction to Vectors, Matrices and Tensors using NumPy
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12 Linear Algebra Ep 2 | Dot Product in Linear Algebra for Data Science
Linear Algebra Ep 2 | Dot Product in Linear Algebra for Data Science
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13 Python vs R | The BEST programming language for your Data Science Project
Python vs R | The BEST programming language for your Data Science Project
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14 Linear Algebra for Data Science Ep3 | Identity and Inverse Matrices | NumPy
Linear Algebra for Data Science Ep3 | Identity and Inverse Matrices | NumPy
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15 The Data Show Ep1 | Elucidating Data Science in Drug Discovery - A CTO's Account
The Data Show Ep1 | Elucidating Data Science in Drug Discovery - A CTO's Account
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16 Google Certified TensorFlow Developer | Learning Plan, Tips, FAQs & my Journey
Google Certified TensorFlow Developer | Learning Plan, Tips, FAQs & my Journey
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17 Speeding up your Data Analysis | Hacks & Libraries
Speeding up your Data Analysis | Hacks & Libraries
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18 How to build an Effective Data Science Portfolio
How to build an Effective Data Science Portfolio
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19 End-to-End Machine Learning Project Tutorial - Part 1
End-to-End Machine Learning Project Tutorial - Part 1
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20 Data Preparation with Sci-kit learn and Pandas | End-to-End ML Project Tutorial - Part 2
Data Preparation with Sci-kit learn and Pandas | End-to-End ML Project Tutorial - Part 2
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21 Training and Fine-Tuning ML Models with Sklearn | End-to-End ML Project Tutorial - Part 3
Training and Fine-Tuning ML Models with Sklearn | End-to-End ML Project Tutorial - Part 3
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22 Deploying a Trained ML model via Flask on Heroku | End-to-End ML Project Tutorial - Part 4
Deploying a Trained ML model via Flask on Heroku | End-to-End ML Project Tutorial - Part 4
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23 Three Decades of Practising Data Science | Interview with Dean Abbott
Three Decades of Practising Data Science | Interview with Dean Abbott
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24 Calculating Vector Norms - Linear Algebra for Data Science - IV
Calculating Vector Norms - Linear Algebra for Data Science - IV
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25 Ep1 - Getting Started | Zero to Hero in Computer Vision with TensorFlow
Ep1 - Getting Started | Zero to Hero in Computer Vision with TensorFlow
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26 Ep3 - Designing Data Experiments to enhance your Product | Rapido's Data Science Lead, Pramod N
Ep3 - Designing Data Experiments to enhance your Product | Rapido's Data Science Lead, Pramod N
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27 Building projects with fastai - From Model Training to Deployment
Building projects with fastai - From Model Training to Deployment
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28 October AI - Video Calling with One-Tenth of Internet Bandwidth
October AI - Video Calling with One-Tenth of Internet Bandwidth
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29 November AI - Breakthrough in biology after 50 years | Datasets, books, research papers and more...
November AI - Breakthrough in biology after 50 years | Datasets, books, research papers and more...
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30 Data Science learning roadmap for 2021
Data Science learning roadmap for 2021
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31 Talk is cheap, BUILD - Microsoft Software Engineer | Interview with Abhirath Batra
Talk is cheap, BUILD - Microsoft Software Engineer | Interview with Abhirath Batra
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32 Building a Habit of Reading Research Papers | Ft. Anurag Ghosh(Microsoft Researcher)
Building a Habit of Reading Research Papers | Ft. Anurag Ghosh(Microsoft Researcher)
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33 Tableau vs Python - Building a COVID tracker dashboard
Tableau vs Python - Building a COVID tracker dashboard
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34 [Explained] What is MLOps | Getting started with ML Engineering
[Explained] What is MLOps | Getting started with ML Engineering
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35 Dmitry Petrov - Creator of DVC | ML Systems, Teams, Scaling challenges, and Learning Data Science
Dmitry Petrov - Creator of DVC | ML Systems, Teams, Scaling challenges, and Learning Data Science
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36 Five hard truths about building a career in Data Science
Five hard truths about building a career in Data Science
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37 Computing gradients using TensorFlow | Training a Linear Regression model from scratch.
Computing gradients using TensorFlow | Training a Linear Regression model from scratch.
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38 Foundations for Data Science & ML - First steps for every beginner!
Foundations for Data Science & ML - First steps for every beginner!
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39 Course Outline - Foundations for Data Science & ML
Course Outline - Foundations for Data Science & ML
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How Machine Learning uses Linear Algebra to solve data problems
How Machine Learning uses Linear Algebra to solve data problems
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41 Calculus for ML - How much you should know to get started
Calculus for ML - How much you should know to get started
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42 Building a buzzing stocks news feed using NLP and Streamlit | Named Entity Recognition & Linking
Building a buzzing stocks news feed using NLP and Streamlit | Named Entity Recognition & Linking
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43 AI Engineer - The next big tech role!
AI Engineer - The next big tech role!
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44 AI researcher vs AI engineer | The next big tech role!
AI researcher vs AI engineer | The next big tech role!
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45 Reviewing LLMs for content creation
Reviewing LLMs for content creation
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46 Building a chatGPT-like bot on WhatsApp #coding  #chatgpt #engineering
Building a chatGPT-like bot on WhatsApp #coding #chatgpt #engineering
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47 High Signal AI - the most action-oriented newsletter on the web! #ai
High Signal AI - the most action-oriented newsletter on the web! #ai
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48 Building an AI-powered Discord Chatbot Locally for FREE using Ollama
Building an AI-powered Discord Chatbot Locally for FREE using Ollama
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49 Build a second brain with Khoj 🧠  #ai #obsidian #plugins #productivity #engineering #notes
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50 Summarising YouTube Videos using Ollama on Discord | Becoming an AI Engineer - Ep 2
Summarising YouTube Videos using Ollama on Discord | Becoming an AI Engineer - Ep 2
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51 Watch the full video on my channel - Roadmap to become an AI Engineer.
Watch the full video on my channel - Roadmap to become an AI Engineer.
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52 Mesop - Python-based UI framework from Google!
Mesop - Python-based UI framework from Google!
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53 How I automated my YouTube | Gumloop tutorial | No Code
How I automated my YouTube | Gumloop tutorial | No Code
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54 ARC PRIZE - Win $1Million to Beat the ARC-AGI benchmark
ARC PRIZE - Win $1Million to Beat the ARC-AGI benchmark
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55 Microsoft's Autogen vs CrewAI - tested on a diverse range of use cases
Microsoft's Autogen vs CrewAI - tested on a diverse range of use cases
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56 Claude #AI artifacts are just amazing!
Claude #AI artifacts are just amazing!
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57 OpenAI releases CriticGPT to correct GPT-4's mistakes | Read the paper with me
OpenAI releases CriticGPT to correct GPT-4's mistakes | Read the paper with me
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58 Day in my life | Vlog #1
Day in my life | Vlog #1
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59 How to add AI Copilot to your application using CopilotKit | Tutorial
How to add AI Copilot to your application using CopilotKit | Tutorial
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60 Quick Questions with an AI Founder - Anudeep Yegireddi
Quick Questions with an AI Founder - Anudeep Yegireddi
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