1. Learn how to construct AI instruments like ChatGPT? 2. Learn how to be taught Machine Studying? 3. Learn how to be taught Deep Studying? I’ll reply all these …
source
Meet the Unitree G1 AI Humanoid Robotic! This superior know-how is altering the sport in robotics. Uncover the capabilities of ... source
Read more
Mathematics for Machine Learning: https://imp.i384100.net/math-for-ml
Data Science Math Skills: https://imp.i384100.net/datasciencemathskills
Introduction to Statistics: https://imp.i384100.net/stanford-statistics
Python Programming: https://learnpython.org/
Machine Learning Specialization: https://imp.i384100.net/machine-learning-specialization
Kaggle: https://www.kaggle.com/
Deep Learning Specialization: https://imp.i384100.net/deep-learning-specialization
Full Disclosure: This is NOT a sponsored video. The links are affiliate but all the courses are available for FREE if you want.
you can be rich with job but never wealthy….rich is a trap
How much time it will take to achieve all these @powercouple
00:00 💼 Learning to build AI tools like ChatGPT is a future-proof skill that can ensure job security in the age of AI.
00:27 💰 OpenAI pays its AI engineers almost 1 million dollars, making AI a lucrative career path.
00:53 🧠 Artificial Intelligence is based on interconnected nodes called Artificial Neurons, part of Neural Networks.
01:20 🤖 Deep Learning, a subset of Machine Learning, involves training neural networks to predict outcomes.
01:49 📚 Machine Learning requires proficiency in Mathematics, Statistics, and Programming.
02:41 🧮 Specializations like "Mathematics for Machine Learning and Data Science" on Coursera help in learning the necessary Math.
03:10 📊 "Introduction to Statistics" by Stanford University covers essential concepts needed for Machine Learning.
04:02 🐍 Learning Python, the popular language for Machine Learning, is crucial.
04:31 👨💻 Python basics like if statements, loops, and functions are sufficient for starting Machine Learning.
05:24 🏆 Kaggle offers hands-on practice and project opportunities to build a Machine Learning portfolio.
06:21 🤖 To understand advanced AI systems like ChatGPT, Deep Learning specialization courses are essential.
06:48 📈 Data Science is a related field to Machine Learning, offering an alternative career path.
Amazing how much information you packed into 7 mins. Thank you for your awesome contribution. 🙂
Thank you for this amazing video. This is so helpful! You make it possible for ordinary people to learn AI.
Came across your channel for the first time, and this video has blew me away.. hats off to you, for keeping it simple, yet informative !!
can i get courses for free
because some of the courses are asking payment
Job and rich 💀
Really cool, thanks very much for this path!
Sir Kindly Please create a Leetcode preparatory Course for improving Problem Solving and Helping to crack Interviews. You're the only person who can do this because the way you explain things no body does better than you.
My brother is doing diplome after 10th he has no knowledge of high school mathematics but he is very good at maths till 10th He wants to pursue career in ai ml the course you have recommented of Mathematics for Machine Learning Specialization in coursera will he be able to understand maths from this course or this course is for maths which is learn after high school. Shall be very thankful if you look upon my query.(Love & Support from India)
Thank you so much brother, Much appreciated it❤
i love the roadmap but i am seeking which is free as in coursera we can audit but most teaching is in labs which we cant access ! any YouTube videos etc anything ?
is there any free course for learning the math for the machine learning
Brilliant! If you're craving more, a book with similar narrative is an apt follow-up. "From Bytes to Consciousness: A Comprehensive Guide to Artificial Intelligence" by Stuart Mills
I'm Electrical engineering ug student and today i'm discussing with my friends about my FYP that next year i will take my FYP in AI domain bcz i wanna to pursue my career in AI , and now i have watched this video and HATS OFF TO YOU MAN ! literally this 7 minutes gave me really insightful, interesting and useful info . THANK YOU MAN !
this is the way
can you give me a suggestion please. I want to pursue AI and ML. But before that I think of becoming a front end web developer , to have a part- time/freelance job for paying my expenses. Will there be a problem , that my web-designing job will affect my AI and ML learning journey ?
Thank you brother ♥
🎯 Key Takeaways for quick navigation:
00:00 🤖 The importance of learning AI and building AI tools
– Building AI tools is vital for job security.
– AI tools can enhance productivity in your job.
– OpenAI pays its AI engineers nearly 1 million dollars.
00:53 🧠 Understanding the foundation: Neurons and Neural Networks
– Human intelligence and Artificial Intelligence are linked to interconnected nodes (neurons).
– Artificial Neural Networks, also known as Neural Networks, are essential in building AI tools.
– Deep Learning involves training neural networks to predict outcomes based on data.
01:49 🎓 The three pillars of Machine Learning
– Machine Learning comprises Mathematics, Statistics, and Programming.
– Mathematics, including Linear Algebra, Calculus, and Probability theory, is fundamental for understanding ML algorithms.
– Proficiency in programming, particularly Python, is necessary for practical ML implementation.
02:41 🧮 Mastering Math for Machine Learning
– A specialization called "Mathematics for Machine Learning and Data Science" on Coursera offers in-depth Math knowledge.
– Linear Algebra, Calculus, and Probability are key components of this specialization.
03:36 📊 Building a foundation in Statistics
– "Introduction to Statistics" by Stanford University covers essential concepts like Probability Distributions, Central Limit Theorem, Confidence Intervals, and Regression.
– A breadth-first approach is recommended for learning statistics for Machine Learning.
04:02 💻 Learning programming basics in Python
– Python is the preferred programming language for Machine Learning.
– Basic programming skills, including if statements, loops, functions, and classes, are sufficient to start with Machine Learning.
04:56 📚 Exploring Machine Learning through courses
– Prof. Andrew Ng's Machine Learning Specialization on Coursera offers comprehensive learning in supervised and unsupervised learning, as well as advanced ML topics.
– Kaggle provides a platform for hands-on practice and project building.
05:52 🧠 Delving into Deep Learning
– Prof. Andrew Ng's Deep Learning Specialization covers the basics of Deep Learning, Convolutional Neural Networks (Computer Vision), and Transformer architecture (Natural Language Processing).
– Completing this specialization equips you to understand and work with advanced AI systems like ChatGPT.
Made with HARPA AI