Eli Brookner – Tracking & Kalman Filtering Made Easy
Taylor Lane – The No Bullshit Road to Remote Work
Fabrizio Saccomanni – Managing International Financial Instability
Ellman Alan - Cashing in on Covered Calls Cash DVD
Jack Bernstein – 6-2-4 Winning Strategies & Systems (trade-futures.com)
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Blandine Laperche – John Kenneth Galbraith & The Future of Economics
Juan R.Rabunal – Artificial Neural Networks in Real-File Applications
Jack Schwager – A Complete Guide to the Futures Markets
Wall Street Prep – Real Estate (REIT) Modeling
Tamraparni Dasu, Theodore Johnson – Exploratory Data Mining & Data Cleaning
Raymond Merriman – The Ultimate Book on Stock Market Timing (VOL III) – Geocosmic Correlations to Trading Cycles
Alex and Lauren – Pro Blogger Bundle
Arnold Zellner – The Structural Econometric Time Series Analysis Approach
Jae k.Shim - Encyclopedic Dictionary of International Finance & Banking
Richard Katz – Japan. The System That Soured
Michael Parsons – Channel Surfing. Riding the Waves of Channels to Profitable Trading
Ruey S.Tsay – Analysis of Financial Time Series
Roger and Barry – Fast Zone
Joe Ross – Future DayTrading (German)
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Description
The tools and techniques that you need to get really good at applied machine learning, really fast.
Here is everything you get in this 28-book set:
- Machine Learning Mastery With R
- Deep Learning With Python
- XGBoost With Python
- Master Machine Learning Algorithms
- ML Algorithms From Scratch
- Machine Learning Mastery With Weka
- Machine Learning Mastery With Python
- Time Series Forecasting With Python
- LSTM Networks With Python
- Deep Learning for NLP
- Linear Algebra for Machine Learning
- Statistical Methods for Machine Learning
- Deep Learning for Time Series
- Better Deep Learning
- Deep Learning for Computer Vision
- GANs with Python
- Probability for Machine Learning
- Imbalanced Classification with Python
- Data Preparation for Machine Learning
- Ensemble Learning Algorithms
- Optimization for Machine Learning
- Calculus for Machine Learning
- Python for Machine Learning
- Building Transformer Models with Attention
- Deep Learning with PyTorch
- Maximizing Productivity with ChatGPT
- Machine Learning in OpenCV
- The Beginner’s Guide to Data Science
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