Thread by @navaifanatic

Machine Learning is hard.

I felt like quitting whenever I get baffled by the amount of information to learn.

But I followed the path to learning from Math for ML.

Here are the 5 critical reasons why you should start with Math concepts for ML

THREAD🧵 ↓

🤔 Why Math for ML:
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📌 Machine learning algorithms rely on mathematical calculations to make predictions and decisions

📌 Many machine learning techniques, such as neural networks and deep learning, are based on linear algebra and calculus

📌 Machine learning involves optimizing models using techniques such as gradient descent, which requires a strong understanding of calculus

📌 Mathematical concepts such as probability and statistics are essential for performance and evaluating machine learning models

📌 Being proficient in math can help you better understand and implement machine learning algorithms, leading to more accurate and effective models

🚀 With all the above being said, I’m happy to share that I’ve obtained a new certification: 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐚𝐥 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬 𝐨𝐟 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 from @udemy

@UiPath #ml #python #algorithms #datastructures #statistics #algebra #math #mathematics

🔍 Topics Covered in the Course:
1️⃣ Data Structures for Linear Algebra
2️⃣ Tensor Operations
3️⃣ Matrix Properties
4️⃣ Eigenvectors and Eigenvalues
5️⃣ Matrix Operations for ML
6️⃣ Limits
7️⃣ Derivatives and Differentiation
8️⃣ Automatic Differentiation
9️⃣ Partial Derivative Calculus

🔗 Course Link: lnkd.in/geQrWg4n

💯👨🏻‍🏫 Course➕Teacher Review:
💎 This is one of the best courses for anyone who is 𝒔𝒆𝒓𝒊𝒐𝒖𝒔 with Machine Learning and wants to learn the real Math concepts

💎 Instructor @JonKrohnLearns is one of the best teachers to learn from, and his style of explaining the concept to the level of understanding with coding in Python is amazing

💎 In this course, we also learn:
💠How the particular Math concept is implemented in ML
💠What are ML problems we are solving by implementing
💠Also the implementation using #Pytorch & #Tensorflow
💠Hands-on Paper exercises and Python coding problems

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