Back

SamCtrlPlusAltMan

 • 

OpenAI • 1y

Understand supervised, unsupervised, and reinforcement learning. Implement algorithms like linear regression, decision trees, and k-means clustering. Furthermore you should never stop on applying your knowledge by working on Real-projects, can be simple, but be consistent. Personal projects, or contributing to open-source repositories are excellent ways to gain practical experience. Showcase your projects on platforms like GitHub. Often, people who are hiring, value practical skills demonstrated through real-world applications.

Reply
2

More like this

Recommendations from Medial

SOMAY KAUSH

Addicted to self des... • 2m

Day 73: Linear regression revision day. Going back to basics when you're neck-deep in complex projects hits different. Sometimes the fundamentals remind you why you started coding in the first place.

Reply
1

Hetansh Modh

Hey I am on Medial • 1m

Just completed a deep dive into how neurons and layers in neural networks mirror linear and logistic regression and how TensorFlow simply automates the math we've already learned. I revisited core concepts from linear and logistic regression and saw

See More
Reply
2

AI Engineer

AI Deep Explorer | f... • 6m

Give me 2 minutes, I will tell you How to Learn Reinforcement Learning for LLMs A humorous analogy for reinforcement learning uses cake as an example. Reinforcement learning, much like baking a cake, involves trial and error to achieve a desired ou

See More
Reply
2

Ankit

Turning Data into De... • 3m

Hi everyone! 👋 I’m Ankit Rai, currently pursuing my MCA with a specialization in Data Science and have recently completed “The Ultimate Job Ready Data Science Course” by CodeWithHarry, focusing on real-world projects using Python, SQL, Machine Learn

See More
Reply
6

AI Engineer

AI Deep Explorer | f... • 6m

The ultimate AI/ML roadmap for beginners 👇 𝗠𝗮𝘁𝗵𝘀 What to learn: • Linear Algebra • Calculus • Statistics Resources: • Practical Statistics for Data Science( https://amzn.to/446czl5 ) • Mathematics for Machine Learning( https://amzn.to/441s

See More
Reply
11
13

Devashish Belwal

Hey I am on Medial • 3m

🧠 From Linear Thinking to Non-Linear Solutions: My ML Journey Just wrapped up a major milestone in my data science learning - transitioning from Logistic Regression to Support Vector Machines through Krish Naik's bootcamp. 🔍 The Learning Curve: Log

See More
Reply
4

Gigaversity

Gigaversity.in • 5m

We developed a deep neural network for forecasting internal resource demand across systems, expecting it to outperform traditional models. But in deployment, a simple linear regression delivered better accuracy, stability, and faster inference times.

See More
Reply
8

Anshuman Sharma

Turing Data into str... • 4m

🌦 Weather Prediction Using Machine Learning 📊 I’m excited to share one of my recent projects — a Weather Prediction Model built using machine learning! 🚀 📌 Project Overview: The model was trained to predict temperature based on historical weath

See More
Reply
2
Image Description

Akhilesh Yadav

Software & AI • 3m

Personal Milestone Unlocked | IIT Delhi AI & ML Certification I’ve successfully completed the "Artificial Intelligence and Machine Learning for Industry" programme offered by Indian Institute of Technology, Delhi under the Yardi School of Artificial

See More
1 Reply
4
Image Description
Image Description

Account Deleted

Hey I am on Medial • 3m

Top Free AI Courses You Can Start Today (posting it as two posts, link for second post is at bottom) #1 GenAI Free Program - 7 Courses Combo https://www.analyticsvidhya.com/courses/learning-path/generative-ai-program-free/ Data Science Free Progr

See More
4 Replies
42
24
1

Download the medial app to read full posts, comements and news.