Machine Learning
https://learn.themadprogrammr.com/s/store/courses/description/mathforai
LINK FOR MORE DETAILS
🛑 🛑 🛑 🛑 🛑 🛑 🛑 🛑
Why does this workshop matter?
The future of AI is promising and Math plays an important role as it builds the foundation.
Mathematics really helps you understand what's *happening* and if you want to improve your model further you need to know what's happening.
Simply you can't master by just writing code & running it.
And so we designed this workshop for you to Master the Math required to understand the mechanics behind ML Algorithms.
*What's the Prerequisite?*
👉 Nothing
Why does this workshop matter?
The future of AI is promising and Math plays an important role as it builds the foundation.
Mathematics really helps you understand what's *happening* and if you want to improve your model further you need to know what's happening.
Simply you can't master by just writing code & running it.
And so we designed this workshop for you to Master the Math required to understand the mechanics behind ML Algorithms.
*What's the Prerequisite?*
👉 Nothing
You will learn & implement:
👉 Graphs & Equations
👉 Linear Algebraic methods, operations, structures & functions
👉 Matrix Norms, Tensors & Vectors
👉 Eigen Vectors & Eighen values and its Implementation in ML.
👉 Application of Linear Algebra in ML & DL.
👉 Python Implementation A-Z
👉 Multivariate Calculus
👉 Gradient Visualization, Convex Optimization, etc. with the implementation of it in Machine Learning & Deep Learning.
👉 Application of Multivariate Calculus in ML & DL.
👉 Probability & its applications in ML Algorithms.
👉 Understanding complex PCA algorithm with Math
👉 Understand how the Math concepts extend for real-world ML Problems & algorithms
👉 Graphs & Equations
👉 Linear Algebraic methods, operations, structures & functions
👉 Matrix Norms, Tensors & Vectors
👉 Eigen Vectors & Eighen values and its Implementation in ML.
👉 Application of Linear Algebra in ML & DL.
👉 Python Implementation A-Z
👉 Multivariate Calculus
👉 Gradient Visualization, Convex Optimization, etc. with the implementation of it in Machine Learning & Deep Learning.
👉 Application of Multivariate Calculus in ML & DL.
👉 Probability & its applications in ML Algorithms.
👉 Understanding complex PCA algorithm with Math
👉 Understand how the Math concepts extend for real-world ML Problems & algorithms
Last 5 seats left to master Math Behind Machine Learning & Artificial Intelligence.
Workshop gonna start from tomorrow 🔥
https://learn.themadprogrammr.com/s/store/courses/description/mathforai
Workshop gonna start from tomorrow 🔥
https://learn.themadprogrammr.com/s/store/courses/description/mathforai
Learn & Master Advanced Machine Learning Techniques & Algorithms with the practical implementation in Python with this workshop. Predict Outcomes from data by building your own powerful predictive models with Machine Learning in Python.
Link : https://themad.graphy.com/courses/machine-learning-super-deep-track
What You'll Learn?
✅ Machine Learning Introduction
✅ Basics of Numpy & Pandas for Preprocessing
✅ Advanced model training & tuning techniques
✅ Advanced & industry used Evaluation metrics
✅ Industry-specific Model Selection Techniques & Hacks
✅ Detecting & Fixing errors in Algorithms
✅ A-Z Supervised Learning Algorithms covered
✅ Deep intuition behind how each Algorithm works, when to use, why to use & how to use
✅ Techniques to make Algorithm more robust
✅ Introduction to Unsupervised learning algorithms
Link : https://themad.graphy.com/courses/machine-learning-super-deep-track
What You'll Learn?
✅ Machine Learning Introduction
✅ Basics of Numpy & Pandas for Preprocessing
✅ Advanced model training & tuning techniques
✅ Advanced & industry used Evaluation metrics
✅ Industry-specific Model Selection Techniques & Hacks
✅ Detecting & Fixing errors in Algorithms
✅ A-Z Supervised Learning Algorithms covered
✅ Deep intuition behind how each Algorithm works, when to use, why to use & how to use
✅ Techniques to make Algorithm more robust
✅ Introduction to Unsupervised learning algorithms
Link: https://themad.graphy.com/courses/machine-learning-super-deep-track
Price: Only 999
Starting from 11th April
Dates: 11th APRIL- 1st MAY
It's a 20 day long workshop.
This price is only for 24 hours. Price will increase to Rs. 1899 after 24 hours.
Way less price with way more practical knowledge inbuilt!
🟠 Surprise: Enroll Now & also Get access to Premium MAD Newsletter Subscription for 9 months worth Rs 1999 for FREEEEEEE
Price: Only 999
Starting from 11th April
Dates: 11th APRIL- 1st MAY
It's a 20 day long workshop.
This price is only for 24 hours. Price will increase to Rs. 1899 after 24 hours.
Way less price with way more practical knowledge inbuilt!
🟠 Surprise: Enroll Now & also Get access to Premium MAD Newsletter Subscription for 9 months worth Rs 1999 for FREEEEEEE
The reason you should enroll ⬇️
Why this workshop is brought out by MAD?
What's special? Read this ⬇️
Most of the time ML is made you learned in a very wrong way. Just running and knowing algorithms will not give u the edge.
Since last 3 years, working in this field, what i experienced is there are 3 things u must master in ML
1. The deep working of Algorithms
2. How to evaluate & Fix errors
3. Programming
We will be covering all 3 in Super deep with unbounded & practical projects.
Why this workshop is brought out by MAD?
What's special? Read this ⬇️
Most of the time ML is made you learned in a very wrong way. Just running and knowing algorithms will not give u the edge.
Since last 3 years, working in this field, what i experienced is there are 3 things u must master in ML
1. The deep working of Algorithms
2. How to evaluate & Fix errors
3. Programming
We will be covering all 3 in Super deep with unbounded & practical projects.
Are you still left to be enrolled?
Only 5 seats are left.
Enroll Now ▶️ https://themad.graphy.com/courses/machine-learning-super-deep-track
Only 5 seats are left.
Enroll Now ▶️ https://themad.graphy.com/courses/machine-learning-super-deep-track
Op op op...we are starting from today 🔥
Just 2 hours left.
Still left to be enrolled?
Enroll now in Machine Learning Super Deep Workshop😎
Just 2 hours left.
Still left to be enrolled?
Enroll now in Machine Learning Super Deep Workshop😎
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