![]() I just bought a second hand MacBook Pro 4,1 (2.4ghz, 4GB Non ECC Ram) Hi, bringing back and old thread in a hope to find some answers to the same problem.Īnother feature is Scripting, which allows user to create stored sets of commands, similar to a macro. It hadnt been used for much by the previous owner, sitting on a desk as a desktop computer mainly. Now as soon as it arrived and went and upgraded the standard 200GB 5400RPM system drive with a Seagate 320GB 7200,3 Drive. Now when it arrived to me, before i got the upgrade done, i only booted the system once to check that the machine worked. There were no issues, so i powered it down and dropped it off to a Mac certified tech to have the upgrade done. Now it came back with the new drive, I then installed 10.5 and did all the updates. However, the next time i booted the machine, I encountered the same problem that the OPer had.Ī number of loud beeps coming from where the HDD is situated in the machine. The computer then would not boot to the Apple Logo. I powered it down and turned it on again and it was fine. It has since happened twice more, and i have yet to remember to count how many Beeps the machine makes. GATE CS Original Papers and Official Keys.ISRO CS Original Papers and Official Keys.ISRO CS Syllabus for Scientist/Engineer Exam. ![]() Mathematical explanation for Linear Regression working.Linear Regression (Python Implementation). ![]() Now, we have to find a line that fits the above scatter plot through which we can predict any value of y or response for any value of x for n observations (in above example, n=10).Decision Tree Introduction with exampleįor understanding the concept let’s consider a salary dataset where it is given the value of the dependent variable(salary) for every independent variable(years experienced).Removing stop words with NLTK in Python.Regression and Classification | Supervised Machine Learning.Basic Concept of Classification (Data Mining).Gradient Descent algorithm and its variants.ML | Momentum-based Gradient Optimizer introduction.Optimization techniques for Gradient Descent.ML | Mini-Batch Gradient Descent with Python.Difference between Batch Gradient Descent and Stochastic Gradient Descent.Difference between Gradient descent and Normal equation.ML | Normal Equation in Linear Regression. The line which best fits is called the Regression line. ![]()
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