06:22

I tried to build an E-learning platform with AI ...

18:13

What to Build with AI - Ideas from 10 Hugging Face Spaces

14:08

Cursor review - Everything you can build

12:26

How Big Banks and Startups are using AI in Finance

12:36

Building large scale data apps with Taipy | Head-to-Head against Streamlit

09:52

Research papers to read for solid foundations in AI

13:56

My AI Research Program

16:31

AI business ideas funded by YCombinator

17:40

Quick Questions with an AI Founder - Anudeep Yegireddi

18:17

How to add AI Copilot to your application using CopilotKit | Tutorial

10:07

Day in my life | Vlog #1

14:29

OpenAI releases CriticGPT to correct GPT-4's mistakes | Read the paper with me

32:29

Microsoft's Autogen vs CrewAI - tested on a diverse range of use cases

13:47

ARC PRIZE - Win $1Million to Beat the ARC-AGI benchmark

24:56

How I automated my YouTube | Gumloop tutorial | No Code

16:20

Mesop - Python-based UI framework from Google!

23:25

Summarising YouTube Videos using Ollama on Discord | Becoming an AI Engineer - Ep 2

34:14

Building an AI-powered Discord Chatbot Locally for FREE using Ollama

12:13

Reviewing LLMs for content creation

15:01

How to become an AI Engineer in 2024 | Skills, learning resources, and project ideas.

13:40

AI Engineer - The next big tech role!

01:05:52

Building a buzzing stocks news feed using NLP and Streamlit | Named Entity Recognition & Linking

09:01

Calculus for ML - How much you should know to get started

11:38

How Machine Learning uses Linear Algebra to solve data problems

05:36

Course Outline - Foundations for Data Science & ML

15:34

Foundations for Data Science & ML - First steps for every beginner!

34:58

Computing gradients using TensorFlow | Training a Linear Regression model from scratch.

08:42

Questions you should ask before starting an ML project

08:26

Five hard truths about building a career in Data Science

31:40

Dmitry Petrov - Creator of DVC | ML Systems, Teams, Scaling challenges, and Learning Data Science

17:29

[Explained] What is MLOps | Getting started with ML Engineering

28:49

Tableau vs Python - Building a COVID tracker dashboard

20:42

Building a Habit of Reading Research Papers | Ft. Anurag Ghosh(Microsoft Researcher)

35:32

Talk is cheap, BUILD - Microsoft Software Engineer | Interview with Abhirath Batra

23:24

How to land your first freelancing project - 5-step process!

24:48

Data Science learning roadmap for 2021

34:56

November AI - Breakthrough in biology after 50 years | Datasets, books, research papers and more...

21:26

October AI - Video Calling with One-Tenth of Internet Bandwidth

32:58

Building projects with fastai - From Model Training to Deployment

53:50

Ep3 - Designing Data Experiments to enhance your Product | Rapido's Data Science Lead, Pramod N

30:34

Ep1 - Getting Started | Zero to Hero in Computer Vision with TensorFlow

17:01

Calculating Vector Norms - Linear Algebra for Data Science - IV

49:19

Three Decades of Practising Data Science | Interview with Dean Abbott

29:29

Deploying a Trained ML model via Flask on Heroku | End-to-End ML Project Tutorial - Part 4

40:41

Training and Fine-Tuning ML Models with Sklearn | End-to-End ML Project Tutorial - Part 3

26:48

Data Preparation with Sci-kit learn and Pandas | End-to-End ML Project Tutorial - Part 2

24:04

End-to-End Machine Learning Project Tutorial - Part 1

17:21

How to build an Effective Data Science Portfolio

26:31

Speeding up your Data Analysis | Hacks & Libraries

27:53

Google Certified TensorFlow Developer | Learning Plan, Tips, FAQs & my Journey

31:03

The Data Show Ep1 | Elucidating Data Science in Drug Discovery - A CTO's Account

17:46

Linear Algebra for Data Science Ep3 | Identity and Inverse Matrices | NumPy

11:11

Python vs R | The BEST programming language for your Data Science Project

15:25

Linear Algebra Ep 2 | Dot Product in Linear Algebra for Data Science

16:22

Linear Algebra Ep 1 | Introduction to Vectors, Matrices and Tensors using NumPy

13:42

Math For Data Science | Practical reasons to learn math for Machine/Deep Learning

17:33

NumPy Essentials for Data Science - part-2 | Multi-Dimensional Array

18:39

NumPy Essentials for Data Science - part-1 | One Dimensional Array

21:41

Python fundamentals for Data Science - Part 3 OOPS | Working with External Libraries & Modules

34:52

Python fundamentals for Data Science - Part 2 Dictionaries | Conditionals | Loops | Functions