#Linear Programming

Day 55 | Linear Programming Resources below📝 The SMO algorithm is a specified quadratic programming algorithm. Because of this, I decided that it would be a good idea to refamiliarize myself with linear programming as it is a precursor for quadratic programming. **Resources for Linear Programming: Linear Programming by The OC Tutor https://youtu.be/Bzzqx1F23a8?si=iO29bIIxtX5a7x1W Linear Programming on Wikipedia https://en.m.wikipedia.org/wiki/Linear_programming *BEST RESOURCE* (The Art of Linear Programming) https://youtu.be/E72DWgKP_1Y?si=n9U3F_Mn5seGukSx —- ⏳ 1 H —- #math #ml #ai #machinelearning #artificialintelligence

The two lines are the constraints (the boundaries of what’s physically or economically possible). Every point where both constraints are satisfied simultaneously forms the green shaded region (the feasible region). The objective function is a line with a direction (toward higher profit). Slide it outward until it barely touches the region. That corner is the answer. This is Linear Programming, the foundation of every real-world optimization problem, from supply chain to power grids. #engineering #stem #optimization #math #science

Relaxing Python & Pygame Creations #coding #programming

If I was a beginner learning to code, I would use this 90 day roadmap step by step for beginners 💪 #coding #codingforbeginners #learntocode #computerscience #programming

What is Linear Regression? It’s one of the simplest ML models. The goal is to find a line that best fits the data. That line helps predict values. Example: More experience → Higher salary More area → Higher house price The model learns the trend and draws the best prediction line. That’s Linear Regression. SAVE this before learning advanced ML models. #machinelearning #linearregression #datascience #aiml #mlbasics #pythonprogramming #techreels #typographyinspired #typographydesign

here’s how i learned how to code 👩🏻‍💻👐🏼 even though this process can really be applied to learning anything new. at the start of the semester, i told myself i wanted to at least understand basic programming. you don’t need to know coding in biotech but i thought it’d be a useful skill to have to expand with. i’m still a beginner but now i can actually read code (on a basic level), use functions, and write simple programs. with the help of ai, there’s so much potential for coding beyond that. the best day to start was yesterday so start now ✨

Linear Regression explained in the simplest way. Linear Regression is a supervised machine learning algorithm used to predict a continuous value based on one or more input variables. At its core, it tries to find the best fitting straight line that represents the relationship between variables. The idea is simple: You have input (X). You have output (Y). You want to understand how Y changes when X changes. The model assumes a linear relationship: y = mx + c m → slope (how much Y changes with X) c → intercept (value of Y when X is 0) It works by minimizing the error between predicted values and actual values, usually using Mean Squared Error. Where is it used? • House price prediction • Sales forecasting • Demand estimation • Trend analysis Linear regression is not just about drawing a line. It is about modeling relationships, understanding patterns, and making data-driven predictions. [machine learning, linear regression, supervised learning, data science, python, ai basics, statistics, ml algorithms]

Linear Programming Class 12🔥 | LPP Full Chapter in Minutes | Boards Exam 2025-26 | Maths Made Easy . . . Class 12 Maths Linear Programming (LPP) full exam oriented explanation 🔥 Is reel me aapko milenge Linear Programming ke sabhi important topics jo Boards exam me directly pooche jaate hain 📚✍️ 👉 Objective Function 👉 Constraints & Graphical Method 👉 Feasible Region & Corner Point Method 👉 Maximum & Minimum Value Questions Ye video Boards Exam 2025-26, school tests aur revision ke liye perfect hai 💯 Agar aap Class 12 Maths ko easy aur scoring banana chahte ho to reel ko LIKE ❤️ | SHARE 🔁 | SAVE 📌 | FOLLOW 🔔 zaroor karein . . #linearprogramming #linearprogrammingclass12 #lppclass12 #class12maths #cbseclass12

Data Structures: Linear and Non-Linear Basics! - Linear data structures: Arrays lay it out flat, stacks pile it up, queues line it up, and linked lists chain it up. - Non-linear data structures: Trees branch out, and graphs link it all together. Linear is straightforward, Non-Linear is all about connections! Follow: @codingwithjd Follow: @codingwithjd Follow: @codingwithjd #DataStructures #Linear #NonLinear #CodingFundamentals #ProgrammingBasics

Graham scan algorithm animated! Full video in the YouTube channel #algorithms #computerscience #programming

In 1939, George Dantzig arrived late to class and saw two math problems on the board, assuming they were homework. He solved them—only to learn they were unsolved statistical problems that had baffled experts for years! His "mistaken" solutions launched a legendary career, helping pioneer linear programming, which revolutionized industries. Sometimes, not knowing the limits is what allows us to break them! . Follow @thrivevizion ✅ . . Dm For Any Enquiry ✉️ . . #startupbusiness #SuccessStory #startup #entrepreneur #explore #fyp #explorepage #Reels #SuccessJourney #Trending #bussinessopportunity #RoadToSuccess #startupnews #InspiringStories #DreamBig #businessadvice #SuccessDiaries #StoryOfSuccess #OvercomingObstacles #SuccessAndMotivation #InspireToSucceed #MotivationToAchieve #DailySuccessMotivation #SuccessMindset #MotivationForSuccess #InspiredBySuccess #MotivationalJourney #SuccessDriven #BelieveAndAchieve #millionairemindset

Playing Tetris with logic gates! 🧩⚡️ Tired of using endless Boolean algebra rules to simplify your digital circuits? The Karnaugh Map (K-Map) is the ultimate visual cheat code for engineers. Instead of crunching pages of equations, you just group the 1s! Let’s break down the groupings in this 4-variable map: 🟦 The Row of 4: We grab that solid horizontal block. Since it spans across all C and D variations, those variables cancel out, leaving us with just our row header: AB. 🟥 The 2x2 Square: We overlap to group four 1s right in the middle. The A and C variables change state across this box so they cancel out, leaving us with BD. 🟪 The Corner Wrap: Here is the real magic! K-Maps are not actually flat; their edges connect. You can wrap around the top, bottom, and sides. Grouping the four extreme corners perfectly simplifies down to B̅D̅ (B-NOT D-NOT). Put it all together, and our final optimized equation is: F = AB + BD + B̅D̅ From a massive, messy truth table to a perfectly simplified logic circuit in seconds! Make sure you save this post for your next Digital Logic exam. 📚📌 #DigitalLogic #KMap #ElectricalEngineering #ComputerScience #EngineeringStudent