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Tutor Artificial
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tutor Höhere Mathematik, Stochastik, Statistik... Uni
Subjects:
Höhere Mathematik, Stochastik, Statistik mit R, Statistik mit Python, Mechanik I-IV, Physik, Elektrotechnik, Machine Learning, Statistik, R, Statistik, Python
Qualification:
Ehemaliger Dozent an der Uni
Level:
Uni
Details:
Mit individueller Nachhilfe für Studenten und Abiturienten konnte ich schon einigen zum Bestehen ihrer kritischen Klausuren in den Angstfächern verhelfen. Weiterhin kann ich statistische Auswertungen mit R und Python durchführen und entsprechend interpretieren. Geduld ist selbstverständlich.
Price:
VHS (Negotiable),
starting from ~11.00 €/h 
Entry from:
09/05/24
tutor Statistik, Data Science, Machine Learnin... Ab FH bis Uni, Masterstudium, Fortgeschritten
Subjects:
Statistik, Data Science, Machine Learning, R Programmierung
Qualification:
10 Jahre Nachhilfe.
Statistik Studium in München. Aktuell im Master Data Science (Spezialisierung Machine Learning)
Fortgeschrittenen in R
Statistik Studium in München. Aktuell im Master Data Science (Spezialisierung Machine Learning)
Fortgeschrittenen in R
Level:
Ab FH bis Uni, Masterstudium, Fortgeschritten
Details:
Ich gebe seit über 10 Jahren Nachhilfe. Falls Interesse besteht, bitte eine genaue Anfrage stellen: Sprich: Ziel, Genaue Beschreibung des Stoffs und Zeit.
Statistik ist für viele der Endgegner :D
Statistik ist für viele der Endgegner :D
tutor Artificial B.E/B.TECH/MCA/BCA
Subjects:
c, c, java, advanced java, .net, os, automata, compiler, computer architecture, algorithm, artificial intelligence, data structure, dbms
Qualification:
M.E
Level:
B.E/B.TECH/MCA/BCA
Details:
I am very patient tutor.i love to teach.it is my passion
tutor Englisch, Mathe, Mathematik, Programmier... Alle Stufen, TOEFL
Subjects:
Englisch, Mathe, Mathematik, Programmierung, JAVA, Python, SQL, C++, C#, HTML, Machine Learning, System Design, CV-Check, Bewerbungsgespräche, KI, Künstliche Intelligenz, machine learning, R, Algorithm, data structure, interview preparation
Qualification:
Ich habe ein Diploma in Mathe, arbeite als Software Engineer seit 18 Jahren, und habe mein Doktorarbeit in bioinformatics an der LMU gemacht und bin Software Engineer. Ich unterrichte Programmieren seit 14+ Jahren. Ich habe in TOEFL iBT Note 109/120 bekommen und mein Deutsch und Englisch sind fließend.
Level:
Alle Stufen, TOEFL
Details:
Die Unterrichten können bei mir stattfinden. Falls ich zu Dir fahren soll, sind die Fahrkosten zu bezahlen. Ich kann Mathe auch auf Englisch unterrichten. :)
Vorbereitung auf Bewerbungsgespräche, Behavioural & Tech.
Ich habe etwa mit 300 verschiedenen Bewerbern gearbeitet.
Ich kenne mich sehr gut aus. CV-Check.
Vorbereitung auf Bewerbungsgespräche, Behavioural & Tech.
Ich habe etwa mit 300 verschiedenen Bewerbern gearbeitet.
Ich kenne mich sehr gut aus. CV-Check.
Successful placements:
3
This tutor was recently able to successfully help with the following tutoring requests: -on request-
tutor Econometrics, Quantitative Trading, Quan... University
Subjects:
Econometrics, Quantitative Trading, Quantitative Finance, Risk Management, P&L, Financial Mathematics, Machine Learning, R, SPSS, Stata, Matlab, EViews, Gretl, Statistics
Qualification:
MsC in Engineering with top marks and research assistant of Econometrics for Italian top University.
Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading.
Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading.
Level:
University
Details:
Common discipline covered, Econometrics (with applications in R, Stata, SPSS, Eviews, Gretl), Statistics, Financial Mathematics, Quantitative Support for Master Degree Thesis (from Regressions to all statistical applications), Risk Management, Mathematics, Computer Science
I help with assignments, exams, presentations, advanced research, dissertations, big programming projects and general skill enhancement. Proficient in all major statistical packages, R, SPSS, Stata, Matlab, EViews, Gretl.
Technical Skills (application and often implementation from scratch),
1) Econometrics, Multivariate Regression, Discrete variable models (i.e. Logit), Time series models (i.e. AR/MA, ARCH/GARCH), Vector AutoRegressive model (VAR), Cointegration (Engle-Granger, VECM), Long-memory process (Fractional Integration), Regime switching models (Hamilton Filter), Kalman Filter, Unobserved Components ARIMA model, Beveridge-Nelson decomposition (Hansen's approach), Copula methods, Metropolis-Hastings algorithm, Black-Litterman model (Meucci's approach), Hierarchical Risk Parity
2) Quantitative Trading (Mid-High Frequency Trading), Stat Arb & Pairs Trading models, Order Imbalance & Order Replenishment effects on intraday returns, Optimal Setup of Entry-Exit Trading Triggers for Quant Trading Strategies, Stat Arb Bertram Model, Data sampling rules for non equally-spaced data (time vs. volume clock for high freq data), Bid-Ask Bounce Bias & Sahalia Method for Microstructure Noise Estimation & Test, Hayashi-Yoshida Lead-Lag Index, D'Aspremont Method for Mean Rev Portfolios, Market Fragmentation in Financial Markets, High-Low prices & Pivot Points trading rule, Trend Following Strategy, Avellaneda-Stoikov Model for Optimal Trading Execution
3) Risk Management, P&L production & analysis for energy trading, VaR & Profit at Risk for energy trading, Merton approach for Credit VaR with/without credit rating migrations, EVT & Copula-based VaR, Stress Test models, Structured Credit Models for Regulatory Risk-Transfer, Additional Value Adjustments for Balance Sheet, Risk Aggregation, Model Risk, Interpolation Methods for multi-year PD Term Structure, Methods for Semidefinite-Positive Corr Matrix Adjustment
4) Financial Mathematics, Longstaff-Schwartz, HJM model (Glasserman's scheme), Greeks with Finite Difference Method, CPPI Products & Cushion Multiplier Setup
5) Machine Learning, Support Vector Machine, Decision Tree, Principal Component Analysis & Regression, XGBoost, Random Forest
I help with assignments, exams, presentations, advanced research, dissertations, big programming projects and general skill enhancement. Proficient in all major statistical packages, R, SPSS, Stata, Matlab, EViews, Gretl.
Technical Skills (application and often implementation from scratch),
1) Econometrics, Multivariate Regression, Discrete variable models (i.e. Logit), Time series models (i.e. AR/MA, ARCH/GARCH), Vector AutoRegressive model (VAR), Cointegration (Engle-Granger, VECM), Long-memory process (Fractional Integration), Regime switching models (Hamilton Filter), Kalman Filter, Unobserved Components ARIMA model, Beveridge-Nelson decomposition (Hansen's approach), Copula methods, Metropolis-Hastings algorithm, Black-Litterman model (Meucci's approach), Hierarchical Risk Parity
2) Quantitative Trading (Mid-High Frequency Trading), Stat Arb & Pairs Trading models, Order Imbalance & Order Replenishment effects on intraday returns, Optimal Setup of Entry-Exit Trading Triggers for Quant Trading Strategies, Stat Arb Bertram Model, Data sampling rules for non equally-spaced data (time vs. volume clock for high freq data), Bid-Ask Bounce Bias & Sahalia Method for Microstructure Noise Estimation & Test, Hayashi-Yoshida Lead-Lag Index, D'Aspremont Method for Mean Rev Portfolios, Market Fragmentation in Financial Markets, High-Low prices & Pivot Points trading rule, Trend Following Strategy, Avellaneda-Stoikov Model for Optimal Trading Execution
3) Risk Management, P&L production & analysis for energy trading, VaR & Profit at Risk for energy trading, Merton approach for Credit VaR with/without credit rating migrations, EVT & Copula-based VaR, Stress Test models, Structured Credit Models for Regulatory Risk-Transfer, Additional Value Adjustments for Balance Sheet, Risk Aggregation, Model Risk, Interpolation Methods for multi-year PD Term Structure, Methods for Semidefinite-Positive Corr Matrix Adjustment
4) Financial Mathematics, Longstaff-Schwartz, HJM model (Glasserman's scheme), Greeks with Finite Difference Method, CPPI Products & Cushion Multiplier Setup
5) Machine Learning, Support Vector Machine, Decision Tree, Principal Component Analysis & Regression, XGBoost, Random Forest
This tutor was recently able to successfully help with the following tutoring requests: -on request-
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Enter only keywords here that are not subjects.
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