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The Math & Science Institute (MSI) is an academically rigorous program designed for students with a keen interest in pursuing degrees in science, technology, engineering and math (STEM). The Institute consists of seven college-credit courses:
-- BioTechnology
-- Environment and Energy Technology
-- Physics
-- Anatomy & Physiology
-- Statistics
-- Calculus
How to learn Calculus in an elegant, brain-bending manner. My closest analogy is Darwin’s Theory of Evolution: once understood, you start seeing Nature in terms of survival. You understand why drugs lead to resistant germs (survival of the fittest). You know why sugar and fat taste sweet (encourage consumption of high-calorie foods in times of scarcity). It all fits together.
Huntington Learning Center's mission is to give every student the best education possible.
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#61/365
Me "Umm Suzuki I don't think you really need to sneak onto the flight. I can take you as carry-on."
Suzuki "Don't be silly Ed. Who's going to feel comfortable sitting next to a 19-year old college student with a 4-faced toy robot?"
Me "But you're not a 4-faced toy robot, you're my friend"
*hug*
Suzuki and I leave to Washington DC tonight, wish us a safe trip please. I've never been to the east coast before, and Suzuki is from the farrrr east so he's clueless.
The Math & Science Institute (MSI) is an academically rigorous program designed for students with a keen interest in pursuing degrees in science, technology, engineering and math (STEM). The Institute consists of seven college-credit courses:
-- BioTechnology
-- Environment and Energy Technology
-- Physics
-- Anatomy & Physiology
-- Statistics
-- Calculus
Okay, she's not perfect, but she's cute. This little Hello Kitty is my cross sections calculus project.
PS: I've returned to Flickr :)
Differential calculus and Being Zero(0_)
Basically,
because very small zero( 0 ) is not Not-being(_0) but Being Zero(0_),
In the real world, very small zero( 0 ) is 0.0000000000000000000000000000000001,
though very small zero( 0 ) is not Not-being(_0) but Being Zero(0_),
we think and calculate that very small zero( 0 ) is Not-being(_0).
(Very small average velocity) is Velocity.
( Average of Very small average velocity) removes Being Zero(0_) from Calculus.
Logically, ( Average of Very small average velocity) is Velocity.
Liuhui Brahmagupta (2011.03.25)
Differential and Integral calculus
(1/3). Position, ( Velocity = Displacement / Time ), ( Speed = Distance / Time )
(2/3). Average Velocity, Change -> 0 : Instantaneous Velocity
(3/3). Average Instantaneous Velocity, Change -> 0 : Instantaneous Acceleration
(1/3). Position : Y = X^2
(2/3). Instantaneous Velocity : Y' = 2X^2-1 = 2X^1 = 2X
(3/3). Instantaneous Acceleration : Y'' = 2(1 * X^1-1) = 2(X^1-1) = 2(X^0) = 2(1) = 2
Instantaneous Acceleration ( Y'' = 2 ) -> (Integral calculus) -> Instantaneous Velocity (Y' = 2X )
Instantaneous Velocity (Y' = 2X ) -> (Integral calculus) -> Position ( Y = X^2 )
Calculus Test today. Continues tomorrow. Biology Quiz Tomorrow. It's all about advanced placement, baby. Don't you love my homemade book covers? :P
Staff Sgt. Christina Hipenbecker talks with students about Operation Toy Drop at the North Carolina School of Science and Math in Durham, NC on November 18, 2011. (U.S. Army photo by Staff Sgt. Felix R. Fimbres)
January 21st
I'm taking Calculus 2 right now and it's tough; trig integrals are the hardest math I've ever had to do.
Devoxx 2018 - From 0 to Deep Learning in 3 hours
Neural Networks, Deep Learning: there's not a week without a thunderous announcement claiming that Artificial Intelligence limits are once again pushed further.
Doesn't that make you wonder what's actually behind all that? Would you like to know how this all works and how we'll end up having all of our jobs stolen by soulless machines?
Sure, but you've heard that this implies tons of matrix calculus, algebra that doesn't always seem to be that linear, partial derivatives and, come on, if we chose programming rather than pursuing a PhD in Mathematics, we knew what we were doin'!
Okay, give me 3 hours and I will tell you, in very simple words, without any prior knowledge required, step by step baby, how neural networks work in real life, how we get them to learn very useful tricks such as how to differentiate (pun intended) cats from dogs or recognize traffic signs in real time, and how we use these networks in practice.
And we'll see that, thanks to libraries such as TensorFlow or Keras, a few lines of code are enough to do wonders...
Ready?
www.youtube.com/watch?v=gy6cLz4ra8E
( Devoxx 2018
Tous les slides sont proprietes de leurs auteurs.
All slides are properties of their authors. )