Udemy - Financial Engineering and Artificial Intelligence in Python (12.2024)

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大小: 6.7 GB
文件数: 305
分类: 视频
热度: 26
最近活跃: 2 天前

文件列表

1. Welcome/1. Introduction and Outline.mp453.4 MB
1. Welcome/1. Introduction and Outline.srt9.9 KB
1. Welcome/2. Scope of the course.mp427.1 MB
1. Welcome/2. Scope of the course.srt5.1 KB
1. Welcome/3. How to Practice.mp438.5 MB
1. Welcome/3. How to Practice.srt8.3 KB
1. Welcome/4. Warmup (Optional).mp424.7 MB
1. Welcome/4. Warmup (Optional).srt6.1 KB
10. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/1. Why Sequence Models (pt 1).mp449.4 MB
10. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/1. Why Sequence Models (pt 1).srt18.7 KB
10. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/2. Why Sequence Models (pt 2).mp441.2 MB
10. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/2. Why Sequence Models (pt 2).srt16.0 KB
10. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/3. HMM Parameters.mp437.4 MB
10. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/3. HMM Parameters.srt12.4 KB
10. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/4. HMM Tasks and the Viterbi Algorithm.mp465.0 MB
10. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/4. HMM Tasks and the Viterbi Algorithm.srt19.2 KB
10. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/5. HMM for Modeling Volatility Clustering in Code.mp4102.0 MB
10. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/5. HMM for Modeling Volatility Clustering in Code.srt24.1 KB
11. Course Summary and Common Questions/1. Final Thoughts and Course Summary.mp435.6 MB
11. Course Summary and Common Questions/1. Final Thoughts and Course Summary.srt8.6 KB
11. Course Summary and Common Questions/2. Creating Your Personalized Trading Strategy.mp476.5 MB
11. Course Summary and Common Questions/2. Creating Your Personalized Trading Strategy.srt19.1 KB
11. Course Summary and Common Questions/3. Applying This Course.mp453.4 MB
11. Course Summary and Common Questions/3. Applying This Course.srt11.7 KB
11. Course Summary and Common Questions/4. Trading APIs and Deploying Your Strategy in the Real World.mp431.9 MB
11. Course Summary and Common Questions/4. Trading APIs and Deploying Your Strategy in the Real World.srt7.6 KB
11. Course Summary and Common Questions/5. High Frequency Trading (HFT).mp422.0 MB
11. Course Summary and Common Questions/5. High Frequency Trading (HFT).srt5.3 KB
11. Course Summary and Common Questions/6. The Importance of Data.mp452.0 MB
11. Course Summary and Common Questions/6. The Importance of Data.srt12.7 KB
11. Course Summary and Common Questions/7. Why do I have to learn statistics to learn finance.mp472.1 MB
11. Course Summary and Common Questions/7. Why do I have to learn statistics to learn finance.srt14.2 KB
11. Course Summary and Common Questions/8. Get a Plug-and-Play Trading Bot Without Math.mp425.5 MB
11. Course Summary and Common Questions/8. Get a Plug-and-Play Trading Bot Without Math.srt7.0 KB
11. Course Summary and Common Questions/9. Slippage and Bid-Ask Spread.mp415.0 MB
11. Course Summary and Common Questions/9. Slippage and Bid-Ask Spread.srt4.2 KB
12. Extras/1. VIP Finance Enthusiasts, Beware of Marketers!.mp413.5 MB
12. Extras/1. VIP Finance Enthusiasts, Beware of Marketers!.srt2.8 KB
13. Setting Up Your Environment FAQ/1. Pre-Installation Check.mp422.7 MB
13. Setting Up Your Environment FAQ/1. Pre-Installation Check.srt6.6 KB
13. Setting Up Your Environment FAQ/2. Anaconda Environment Setup.mp4180.8 MB
13. Setting Up Your Environment FAQ/2. Anaconda Environment Setup.srt19.7 KB
13. Setting Up Your Environment FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4150.6 MB
13. Setting Up Your Environment FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt14.1 KB
14. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).mp471.8 MB
14. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).srt22.6 KB
14. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).mp449.2 MB
14. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).srt13.2 KB
14. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.mp469.4 MB
14. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.srt14.0 KB
14. Extra Help With Python Coding for Beginners FAQ/4. Get Your Hands Dirty, Practical Coding Experience, Data Links.mp443.6 MB
14. Extra Help With Python Coding for Beginners FAQ/4. Get Your Hands Dirty, Practical Coding Experience, Data Links.srt12.0 KB
14. Extra Help With Python Coding for Beginners FAQ/4.1 Data Links.html157 B
14. Extra Help With Python Coding for Beginners FAQ/4.2 Github Link.html116 B
14. Extra Help With Python Coding for Beginners FAQ/5. How to use Github & Extra Coding Tips (Optional).mp463.9 MB
14. Extra Help With Python Coding for Beginners FAQ/5. How to use Github & Extra Coding Tips (Optional).srt15.7 KB
15. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).mp435.2 MB
15. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).srt14.7 KB
15. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4105.6 MB
15. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt31.9 KB
15. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp479.6 MB
15. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt16.8 KB
15. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4108.2 MB
15. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt23.5 KB
16. Appendix FAQ Finale/1. What is the Appendix.mp416.4 MB
16. Appendix FAQ Finale/1. What is the Appendix.srt3.8 KB
16. Appendix FAQ Finale/2. BONUS.mp440.5 MB
16. Appendix FAQ Finale/2. BONUS.srt8.1 KB
2. Getting Set Up/1. Where to get the code, notebooks, and data.mp426.9 MB
2. Getting Set Up/1. Where to get the code, notebooks, and data.srt6.3 KB
2. Getting Set Up/1.1 Code Link.html125 B
2. Getting Set Up/1.2 Data Links.html157 B
2. Getting Set Up/1.3 Github Link.html116 B
2. Getting Set Up/2. How to Succeed in This Course.mp416.3 MB
2. Getting Set Up/2. How to Succeed in This Course.srt4.4 KB
2. Getting Set Up/3. Temporary 403 Errors.mp422.0 MB
2. Getting Set Up/3. Temporary 403 Errors.srt3.7 KB
3. Financial Basics/1. Financial Basics Section Introduction.mp429.0 MB
3. Financial Basics/1. Financial Basics Section Introduction.srt7.4 KB
3. Financial Basics/10. Adjusted Close (Code).mp421.0 MB
3. Financial Basics/10. Adjusted Close (Code).srt4.6 KB
3. Financial Basics/11. Back to Returns (Code).mp445.7 MB
3. Financial Basics/11. Back to Returns (Code).srt9.1 KB
3. Financial Basics/12. QQ-Plots.mp420.7 MB
3. Financial Basics/12. QQ-Plots.srt7.2 KB
3. Financial Basics/13. QQ-Plots (Code).mp435.3 MB
3. Financial Basics/13. QQ-Plots (Code).srt9.9 KB
3. Financial Basics/14. The t-Distribution.mp419.7 MB
3. Financial Basics/14. The t-Distribution.srt5.1 KB
3. Financial Basics/15. The t-Distribution (Code).mp450.8 MB
3. Financial Basics/15. The t-Distribution (Code).srt10.5 KB
3. Financial Basics/16. Skewness and Kurtosis.mp434.7 MB
3. Financial Basics/16. Skewness and Kurtosis.srt10.4 KB
3. Financial Basics/17. Confidence Intervals.mp438.8 MB
3. Financial Basics/17. Confidence Intervals.srt13.7 KB
3. Financial Basics/18. Confidence Intervals (Code).mp412.3 MB
3. Financial Basics/18. Confidence Intervals (Code).srt2.8 KB
3. Financial Basics/19. Statistical Testing.mp460.7 MB
3. Financial Basics/19. Statistical Testing.srt20.8 KB
3. Financial Basics/2. Getting Financial Data.mp441.9 MB
3. Financial Basics/2. Getting Financial Data.srt9.9 KB
3. Financial Basics/20. Statistical Testing (Code).mp441.9 MB
3. Financial Basics/20. Statistical Testing (Code).srt9.1 KB
3. Financial Basics/21. Covariance and Correlation.mp432.9 MB
3. Financial Basics/21. Covariance and Correlation.srt10.8 KB
3. Financial Basics/22. Covariance and Correlation (Code).mp438.9 MB
3. Financial Basics/22. Covariance and Correlation (Code).srt7.1 KB
3. Financial Basics/23. Alpha and Beta.mp428.8 MB
3. Financial Basics/23. Alpha and Beta.srt9.3 KB
3. Financial Basics/24. Alpha and Beta (Code).mp445.8 MB
3. Financial Basics/24. Alpha and Beta (Code).srt10.4 KB
3. Financial Basics/25. Mixture of Gaussians.mp429.3 MB
3. Financial Basics/25. Mixture of Gaussians.srt9.2 KB
3. Financial Basics/26. Mixture of Gaussians (Code).mp433.5 MB
3. Financial Basics/26. Mixture of Gaussians (Code).srt8.2 KB
3. Financial Basics/27. Volatility Clustering.mp418.5 MB
3. Financial Basics/27. Volatility Clustering.srt3.9 KB
3. Financial Basics/28. Price Simulation.mp412.0 MB
3. Financial Basics/28. Price Simulation.srt4.0 KB
3. Financial Basics/29. Price Simulation (Code).mp412.3 MB
3. Financial Basics/29. Price Simulation (Code).srt3.1 KB
3. Financial Basics/3. Getting Financial Data (Code).mp462.6 MB
3. Financial Basics/3. Getting Financial Data (Code).srt9.5 KB
3. Financial Basics/30. Financial Basics Section Summary.mp410.0 MB
3. Financial Basics/30. Financial Basics Section Summary.srt3.1 KB
3. Financial Basics/31. Suggestion Box.mp427.1 MB
3. Financial Basics/31. Suggestion Box.srt4.7 KB
3. Financial Basics/4. Understanding Financial Data.mp428.5 MB
3. Financial Basics/4. Understanding Financial Data.srt6.6 KB
3. Financial Basics/5. Understanding Financial Data (Code).mp475.5 MB
3. Financial Basics/5. Understanding Financial Data (Code).srt15.1 KB
3. Financial Basics/6. Dealing with Missing Data.mp428.2 MB
3. Financial Basics/6. Dealing with Missing Data.srt7.8 KB
3. Financial Basics/7. Dealing with Missing Data (Code).mp437.7 MB
3. Financial Basics/7. Dealing with Missing Data (Code).srt8.9 KB
3. Financial Basics/8. Returns.mp429.2 MB
3. Financial Basics/8. Returns.srt11.7 KB
3. Financial Basics/9. Adjusted Close, Stock Splits, and Dividends.mp447.4 MB
3. Financial Basics/9. Adjusted Close, Stock Splits, and Dividends.srt16.2 KB
4. Time Series Analysis/1. Time Series Analysis Section Introduction.mp431.8 MB
4. Time Series Analysis/1. Time Series Analysis Section Introduction.srt9.3 KB
4. Time Series Analysis/10. Simple Exponential Smoothing for Forecasting (Code).mp459.2 MB
4. Time Series Analysis/10. Simple Exponential Smoothing for Forecasting (Code).srt12.6 KB
4. Time Series Analysis/11. Holt's Linear Trend Model (Theory).mp433.0 MB
4. Time Series Analysis/11. Holt's Linear Trend Model (Theory).srt10.1 KB
4. Time Series Analysis/12. Holt's Linear Trend Model (Code).mp418.7 MB
4. Time Series Analysis/12. Holt's Linear Trend Model (Code).srt3.4 KB
4. Time Series Analysis/13. Holt-Winters (Theory).mp448.8 MB
4. Time Series Analysis/13. Holt-Winters (Theory).srt15.0 KB
4. Time Series Analysis/14. Holt-Winters (Code).mp452.5 MB
4. Time Series Analysis/14. Holt-Winters (Code).srt9.8 KB
4. Time Series Analysis/15. Autoregressive Models - AR(p).mp453.6 MB
4. Time Series Analysis/15. Autoregressive Models - AR(p).srt16.7 KB
4. Time Series Analysis/16. Moving Average Models - MA(q).mp411.0 MB
4. Time Series Analysis/16. Moving Average Models - MA(q).srt4.2 KB
4. Time Series Analysis/17. ARIMA.mp442.7 MB
4. Time Series Analysis/17. ARIMA.srt13.8 KB
4. Time Series Analysis/18. ARIMA in Code (pt 1).mp4135.2 MB
4. Time Series Analysis/18. ARIMA in Code (pt 1).srt24.5 KB
4. Time Series Analysis/19. Stationarity.mp449.6 MB
4. Time Series Analysis/19. Stationarity.srt16.3 KB
4. Time Series Analysis/2. Efficient Market Hypothesis.mp454.8 MB
4. Time Series Analysis/2. Efficient Market Hypothesis.srt16.1 KB
4. Time Series Analysis/20. Stationarity Code.mp464.6 MB
4. Time Series Analysis/20. Stationarity Code.srt10.8 KB
4. Time Series Analysis/21. ACF (Autocorrelation Function).mp437.3 MB
4. Time Series Analysis/21. ACF (Autocorrelation Function).srt13.0 KB
4. Time Series Analysis/22. PACF (Partial Autocorrelation Funtion).mp426.2 MB
4. Time Series Analysis/22. PACF (Partial Autocorrelation Funtion).srt8.0 KB
4. Time Series Analysis/23. ACF and PACF in Code (pt 1).mp442.3 MB
4. Time Series Analysis/23. ACF and PACF in Code (pt 1).srt9.3 KB
4. Time Series Analysis/24. ACF and PACF in Code (pt 2).mp435.4 MB
4. Time Series Analysis/24. ACF and PACF in Code (pt 2).srt8.0 KB
4. Time Series Analysis/25. Auto ARIMA and SARIMAX.mp440.6 MB
4. Time Series Analysis/25. Auto ARIMA and SARIMAX.srt12.3 KB
4. Time Series Analysis/26. Model Selection, AIC and BIC.mp447.3 MB
4. Time Series Analysis/26. Model Selection, AIC and BIC.srt13.5 KB
4. Time Series Analysis/27. ARIMA in Code (pt 2).mp4109.8 MB
4. Time Series Analysis/27. ARIMA in Code (pt 2).srt16.7 KB
4. Time Series Analysis/28. ARIMA in Code (pt 3).mp4112.0 MB
4. Time Series Analysis/28. ARIMA in Code (pt 3).srt18.1 KB
4. Time Series Analysis/29. ACF and PACF for Stock Returns.mp448.9 MB
4. Time Series Analysis/29. ACF and PACF for Stock Returns.srt8.4 KB
4. Time Series Analysis/3. Random Walk Hypothesis.mp471.5 MB
4. Time Series Analysis/3. Random Walk Hypothesis.srt19.1 KB
4. Time Series Analysis/30. Forecasting.mp439.3 MB
4. Time Series Analysis/30. Forecasting.srt12.1 KB
4. Time Series Analysis/31. Time Series Analysis Section Conclusion.mp418.1 MB
4. Time Series Analysis/31. Time Series Analysis Section Conclusion.srt5.3 KB
4. Time Series Analysis/4. The Naive Forecast.mp431.0 MB
4. Time Series Analysis/4. The Naive Forecast.srt9.2 KB
4. Time Series Analysis/5. Simple Moving Average (Theory).mp419.9 MB
4. Time Series Analysis/5. Simple Moving Average (Theory).srt5.7 KB
4. Time Series Analysis/6. Simple Moving Average (Code).mp454.0 MB
4. Time Series Analysis/6. Simple Moving Average (Code).srt9.6 KB
4. Time Series Analysis/7. Exponentially-Weighted Moving Average (Theory).mp437.8 MB
4. Time Series Analysis/7. Exponentially-Weighted Moving Average (Theory).srt14.6 KB
4. Time Series Analysis/8. Exponentially-Weighted Moving Average (Code).mp454.3 MB
4. Time Series Analysis/8. Exponentially-Weighted Moving Average (Code).srt14.7 KB
4. Time Series Analysis/9. Simple Exponential Smoothing for Forecasting (Theory).mp436.3 MB
4. Time Series Analysis/9. Simple Exponential Smoothing for Forecasting (Theory).srt13.9 KB
5. Portfolio Optimization and CAPM/1. Portfolio Optimization Section Introduction.mp424.4 MB
5. Portfolio Optimization and CAPM/1. Portfolio Optimization Section Introduction.srt4.8 KB
5. Portfolio Optimization and CAPM/10. Maximum and Minimum Portfolio Return in Code.mp428.0 MB
5. Portfolio Optimization and CAPM/10. Maximum and Minimum Portfolio Return in Code.srt5.8 KB
5. Portfolio Optimization and CAPM/11. Mean-Variance Optimization.mp431.6 MB
5. Portfolio Optimization and CAPM/11. Mean-Variance Optimization.srt10.0 KB
5. Portfolio Optimization and CAPM/12. The Efficient Frontier.mp430.7 MB
5. Portfolio Optimization and CAPM/12. The Efficient Frontier.srt9.5 KB
5. Portfolio Optimization and CAPM/13. Mean-Variance Optimization And The Efficient Frontier in Code.mp453.3 MB
5. Portfolio Optimization and CAPM/13. Mean-Variance Optimization And The Efficient Frontier in Code.srt11.2 KB
5. Portfolio Optimization and CAPM/14. Global Minimum Variance (GMV) Portfolio.mp48.6 MB
5. Portfolio Optimization and CAPM/14. Global Minimum Variance (GMV) Portfolio.srt2.3 KB
5. Portfolio Optimization and CAPM/15. Global Minimum Variance (GMV) Portfolio in Code.mp413.6 MB
5. Portfolio Optimization and CAPM/15. Global Minimum Variance (GMV) Portfolio in Code.srt2.5 KB
5. Portfolio Optimization and CAPM/16. Sharpe Ratio.mp437.6 MB
5. Portfolio Optimization and CAPM/16. Sharpe Ratio.srt10.0 KB
5. Portfolio Optimization and CAPM/17. Maximum Sharpe Ratio in Code.mp443.7 MB
5. Portfolio Optimization and CAPM/17. Maximum Sharpe Ratio in Code.srt8.3 KB
5. Portfolio Optimization and CAPM/18. Portfolio with a Risk-Free Asset and Tangency Portfolio.mp437.8 MB
5. Portfolio Optimization and CAPM/18. Portfolio with a Risk-Free Asset and Tangency Portfolio.srt12.4 KB
5. Portfolio Optimization and CAPM/19. Risk-Free Asset and Tangency Portfolio in Code.mp413.6 MB
5. Portfolio Optimization and CAPM/19. Risk-Free Asset and Tangency Portfolio in Code.srt2.6 KB
5. Portfolio Optimization and CAPM/2. The S&P500.mp411.7 MB
5. Portfolio Optimization and CAPM/2. The S&P500.srt3.3 KB
5. Portfolio Optimization and CAPM/20. Capital Asset Pricing Model (CAPM).mp452.2 MB
5. Portfolio Optimization and CAPM/20. Capital Asset Pricing Model (CAPM).srt16.0 KB
5. Portfolio Optimization and CAPM/21. Problems with Markowitz Portfolio Theory and Robust Estimation.mp448.1 MB
5. Portfolio Optimization and CAPM/21. Problems with Markowitz Portfolio Theory and Robust Estimation.srt12.2 KB
5. Portfolio Optimization and CAPM/22. Portfolio Optimization Section Conclusion.mp417.5 MB
5. Portfolio Optimization and CAPM/22. Portfolio Optimization Section Conclusion.srt2.9 KB
5. Portfolio Optimization and CAPM/3. What is Risk.mp430.5 MB
5. Portfolio Optimization and CAPM/3. What is Risk.srt9.4 KB
5. Portfolio Optimization and CAPM/4. Why Diversify.mp433.2 MB
5. Portfolio Optimization and CAPM/4. Why Diversify.srt10.5 KB
5. Portfolio Optimization and CAPM/5. Describing a Portfolio (pt 1).mp436.5 MB
5. Portfolio Optimization and CAPM/5. Describing a Portfolio (pt 1).srt12.3 KB
5. Portfolio Optimization and CAPM/6. Describing a Portfolio (pt 2).mp422.8 MB
5. Portfolio Optimization and CAPM/6. Describing a Portfolio (pt 2).srt7.9 KB
5. Portfolio Optimization and CAPM/7. Visualizing Random Portfolios and Monte Carlo Simulation (pt 1).mp473.4 MB
5. Portfolio Optimization and CAPM/7. Visualizing Random Portfolios and Monte Carlo Simulation (pt 1).srt16.2 KB
5. Portfolio Optimization and CAPM/8. Visualizing Random Portfolios and Monte Carlo Simulation (pt 2).mp488.7 MB
5. Portfolio Optimization and CAPM/8. Visualizing Random Portfolios and Monte Carlo Simulation (pt 2).srt18.4 KB
5. Portfolio Optimization and CAPM/9. Maximum and Minimum Portfolio Return.mp432.7 MB
5. Portfolio Optimization and CAPM/9. Maximum and Minimum Portfolio Return.srt12.5 KB
6. VIP Algorithmic Trading/1. Algorithmic Trading Section Introduction.mp414.0 MB
6. VIP Algorithmic Trading/1. Algorithmic Trading Section Introduction.srt3.6 KB
6. VIP Algorithmic Trading/2. Trend-Following Strategy.mp455.9 MB
6. VIP Algorithmic Trading/2. Trend-Following Strategy.srt18.0 KB
6. VIP Algorithmic Trading/3. Trend-Following Strategy in Code (pt 1).mp463.8 MB
6. VIP Algorithmic Trading/3. Trend-Following Strategy in Code (pt 1).srt9.4 KB
6. VIP Algorithmic Trading/4. Trend-Following Strategy in Code (pt 2).mp469.1 MB
6. VIP Algorithmic Trading/4. Trend-Following Strategy in Code (pt 2).srt12.0 KB
6. VIP Algorithmic Trading/5. Machine Learning-Based Trading Strategy.mp433.3 MB
6. VIP Algorithmic Trading/5. Machine Learning-Based Trading Strategy.srt10.3 KB
6. VIP Algorithmic Trading/6. Machine Learning-Based Trading Strategy in Code.mp469.5 MB
6. VIP Algorithmic Trading/6. Machine Learning-Based Trading Strategy in Code.srt10.4 KB
6. VIP Algorithmic Trading/7. Classification-Based Trading Strategy in Code.mp425.1 MB
6. VIP Algorithmic Trading/7. Classification-Based Trading Strategy in Code.srt4.2 KB
6. VIP Algorithmic Trading/8. Using a Random Forest Classifier for Machine Learning-Based Trading.mp433.0 MB
6. VIP Algorithmic Trading/8. Using a Random Forest Classifier for Machine Learning-Based Trading.srt5.5 KB
6. VIP Algorithmic Trading/9. Algorithmic Trading Section Summary.mp429.9 MB
6. VIP Algorithmic Trading/9. Algorithmic Trading Section Summary.srt7.6 KB
7. VIP The Basics of Reinforcement Learning/1. Reinforcement Learning Section Introduction.mp440.9 MB
7. VIP The Basics of Reinforcement Learning/1. Reinforcement Learning Section Introduction.srt8.7 KB
7. VIP The Basics of Reinforcement Learning/10. Epsilon-Greedy.mp441.6 MB
7. VIP The Basics of Reinforcement Learning/10. Epsilon-Greedy.srt7.4 KB
7. VIP The Basics of Reinforcement Learning/11. Q-Learning.mp466.9 MB
7. VIP The Basics of Reinforcement Learning/11. Q-Learning.srt18.0 KB
7. VIP The Basics of Reinforcement Learning/12. How to Learn Reinforcement Learning.mp440.4 MB
7. VIP The Basics of Reinforcement Learning/12. How to Learn Reinforcement Learning.srt7.6 KB
7. VIP The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4105.2 MB
7. VIP The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.srt25.9 KB
7. VIP The Basics of Reinforcement Learning/3. States, Actions, Rewards, Policies.mp444.2 MB
7. VIP The Basics of Reinforcement Learning/3. States, Actions, Rewards, Policies.srt11.7 KB
7. VIP The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).mp450.7 MB
7. VIP The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).srt12.7 KB
7. VIP The Basics of Reinforcement Learning/5. The Return.mp423.6 MB
7. VIP The Basics of Reinforcement Learning/5. The Return.srt6.3 KB
7. VIP The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.mp447.9 MB
7. VIP The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.srt12.6 KB
7. VIP The Basics of Reinforcement Learning/7. What does it mean to “learn”.mp431.8 MB
7. VIP The Basics of Reinforcement Learning/7. What does it mean to “learn”.srt8.9 KB
7. VIP The Basics of Reinforcement Learning/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp446.2 MB
7. VIP The Basics of Reinforcement Learning/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt12.9 KB
7. VIP The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp455.5 MB
7. VIP The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).srt15.5 KB
8. VIP Reinforcement Learning for Algorithmic Trading/1. Trend-Following Strategy with Reinforcement Learning API.mp449.6 MB
8. VIP Reinforcement Learning for Algorithmic Trading/1. Trend-Following Strategy with Reinforcement Learning API.srt15.7 KB
8. VIP Reinforcement Learning for Algorithmic Trading/2. Trend-Following Strategy Revisited (Code).mp455.8 MB
8. VIP Reinforcement Learning for Algorithmic Trading/2. Trend-Following Strategy Revisited (Code).srt10.5 KB
8. VIP Reinforcement Learning for Algorithmic Trading/3. Q-Learning in an Algorithmic Trading Context.mp429.7 MB
8. VIP Reinforcement Learning for Algorithmic Trading/3. Q-Learning in an Algorithmic Trading Context.srt9.3 KB
8. VIP Reinforcement Learning for Algorithmic Trading/4. Representing States.mp432.6 MB
8. VIP Reinforcement Learning for Algorithmic Trading/4. Representing States.srt9.6 KB
8. VIP Reinforcement Learning for Algorithmic Trading/5. Q-Learning for Algorithmic Trading in Code.mp4103.0 MB
8. VIP Reinforcement Learning for Algorithmic Trading/5. Q-Learning for Algorithmic Trading in Code.srt18.5 KB
9. VIP Statistical Factor Models and Unsupervised Machine Learning/1. Statistical Factor Models (Beginner).mp463.4 MB
9. VIP Statistical Factor Models and Unsupervised Machine Learning/1. Statistical Factor Models (Beginner).srt21.2 KB
9. VIP Statistical Factor Models and Unsupervised Machine Learning/2. Statistical Factor Models (Intermediate).mp440.5 MB
9. VIP Statistical Factor Models and Unsupervised Machine Learning/2. Statistical Factor Models (Intermediate).srt13.1 KB
9. VIP Statistical Factor Models and Unsupervised Machine Learning/3. Statistical Factor Models (Advanced).mp473.1 MB
9. VIP Statistical Factor Models and Unsupervised Machine Learning/3. Statistical Factor Models (Advanced).srt25.4 KB
9. VIP Statistical Factor Models and Unsupervised Machine Learning/4. Statistical Factor Models (Code).mp4101.0 MB
9. VIP Statistical Factor Models and Unsupervised Machine Learning/4. Statistical Factor Models (Code).srt18.6 KB

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