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    The Wait is Over — TensorFlow 2.0 Released! Computer Science

    The Wait is Over — TensorFlow 2.0 Released! Computer Science


    The Wait is Over — TensorFlow 2.0 Released!

    Posted: 30 Sep 2019 03:24 PM PDT

    Advice for a CS student

    Posted: 01 Oct 2019 04:50 AM PDT

    Hi. I am one of the top students in my university. I care about my grades and GPA a lot. Recently, I have heard about a program called Seeds for the future by Huawei. Basically, the Huawei company chooses 10 students and sends them to China for 12 days where they learn about ICT related stuff.

    I know that if I apply and get selected for the program, 12 days of absence from my university classes is likely to have a significant effect on my GPA. However, it still seems like a very enticing offer since being selected by a company like Huawei and getting a completely free trip to China is not something that I can resist.

    What do you guys think I should do? I would be especially glad to hear from those who have participated in the mentioned program in previous years. Did it affect your academic results?

    submitted by /u/terlan98
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    Realistic near future of TAOCP?

    Posted: 30 Sep 2019 05:56 PM PDT

    After 4 years, next fascicle of volume 4 (Fascicle 5) will be realeased this winter. Does anybody know if Knuth has written something from Fascicle 7 and when will it be released? I hope that he will be capable to finish at least complete Volume 4B before 2025. However beyond Volume 4B, I am quite sceptical. Also interesting is question about contents of future Fascicle 7. I fear that rest of chapter 7.2 is too large for Fascicle 7.

    submitted by /u/flaryon
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    Picture Perfect Beauty Courtesy AI Makeup Artist

    Posted: 30 Sep 2019 10:27 AM PDT

    Absolute infinity Ω: Math, naive math or pseudomath

    Posted: 30 Sep 2019 09:52 AM PDT

    I'm an IB student who takes Math HL, how much math would I have already covered at high school?

    Posted: 30 Sep 2019 08:20 AM PDT

    Please just take a quick glance and give me a rough idea.. our syllabus is divided into 6 chapters.

    Topic 1 - Algebra:

    • Arithmetic/geometric sequence and series
    • Binomial theorem
    • Mathematical induction
    • Systems of simultaneous linear equations
    • Complex numbers (polar and cartesian forms)
    • Complex plane
    • Polynomial over complex field
    • De Moivre's theorem

    Topic 2 - Functions & quations:

    • Linear functions
    • Quadratic functions
    • Domain/range/graphing
    • Composition of functions
    • The inverse of functions
    • Transformation of functions
    • Asymptotes
    • Exponential functions
    • Logarithmic functions
    • Exponential equations
    • Polynomial functions
    • Sum and product of roots

    Topic 3 - Trignometry:

    • Sine and cosine rules
    • Applications in 3D geometry
    • Trignometric circle (arcs and sectors)
    • Unit circle
    • Trignometric identities and equations
    • Trignometric functions
    • Inverse trignometric functions

    Topic 4 - Vectors:

    • Geometric representation
    • Algebraic representation
    • Scalar product - angle between vectors
    • Vector equation of a line in 2D
    • Vector equation of a line in 3D
    • Vector product
    • Planes
    • Intersections among lines and planes
    • Distances

    Topic 5 - Statistics & Probability:

    • Basic concepts of statistics & probability
    • Frequency tables - grouped data
    • Regression
    • Elementary set theory
    • Conditional probability - independent events
    • Tree diagrams
    • Probability distribution of a random variable x
    • Normal distribution
    • Binomial distribution
    • Poisson distribution
    • Counting/permutations/combinations

    Topic 6 - Calculus:

    • A rough idea of continuity
    • Rules of differentiation (chain rule, product rule, quotient rule)
    • Tangent/normal lines at a given point
    • Increasing/decreasing functions (max, min)
    • Concavity (points of inflection)
    • Optimisation
    • Indefinite and definite integrals
    • Integration by subtitution
    • Areas between curves - volume of revolution
    • Kinematics (velocity, displacement, acceleration)
    • Integration by parts
    • Implicit differentiation
    • Rate of change problems

    We are examined on 3 papers. Paper 1 - no GDC. Paper 2 - with GDC. Paper 3 - additional topic with GDC.

    The additional topic our school offers with GDC is Statistics & Probability so we go more in depth. This is the list of content:

    • Expectation algebra
    • Discrete random variables
    • Continuos random variables
    • Probability generating functions
    • Distributions of the sample mean and the Central Limit Theorem
    • Point estimation
    • Confidence intervals for means
    • Signifance and hypothesis testing
    • Bivariate statistics

    I know this was quite a bit of a long post, but I was just wondering if the syllabus truly sets a very strong foundation for university. I've heard friends say that engineering graduates told them they'd barely learn anything new in Math. Is this true?

    submitted by /u/hth_dcv
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    Three Different Ways to Create Objects in JavaScript

    Posted: 30 Sep 2019 06:56 AM PDT

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