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ACADEMY - TRADING COURSES BUNDLE
Joe DiNapoli – The Practical Application of Fibonacci Analysis to Investment Markets
Eric Zivot – Modeling Financial Time Series with S-Plus
Brian Kettell – Valuation of Internet & Technology Stocks
Robert A.Haugen – The Inefficient Stock Market
Dr. Mircea Dologa – Integrated Pithfork Analysis (Volume 2 & 3)
Raymond Merriman – The Ultimate Book on Stock Market Timing (VOL II) – Geocosmic Correlations to Investment Cycles
Russel Rhoads – Candlestick Charting for Dummies
Philippe Jorion – Financial Risk Manager Handbook (2nd Ed.)
Carol Alexander – Market Risk Analysis Vol. III. Pricing, Hedging & Trading Financial Instruments
M.Hazewinkel – HandBook of Algebra (Vol I & II)
Y.C.Jao – The Asian Financial Crisis & the Ordeal of Hong Kong
Ruth Miller & Iam Williams – The Solar Guidance System
J.Dupacova – Stochastic Modeling in Economics and Finance
Thecommercialinvestor - Private Mortgage Pool Financial Modeler™ – Preferred Equity
Thomas Dorsey - Using Point and Figure Charts to Analyze Markets
Todd Mitchell - Learning How to Successfully Trade the E-mini & S&P 500 Markets
John Geweke – Contemporary Bayesian Econometrics and Statistics
Tom Bierovic – ABCs of Trading and Tech Analysis (Online Investor Expo, Las Vegas 2000)
Wayne Gorman - How to Identify Turning Points Using Fibonacci
Basecamptrading - Impulse Trading System
OTC Oracle Course - Penny Whale - Simple Trade
Vijay Gupta – SPSS for Beginners
Description
Christopher M.Bishop – Neural Networks for Pattern Recognition
This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, the book examines techniques for modeling probability density functions and the properties and merits of the multi-layer perceptron and radial basis function network models. Also covered are various forms of error functions, principal algorithms for error function minimalization, learning and generalization in neural networks, and Bayesian techniques and their applications. Designed as a text, with over 100 exercises, this fully up-to-date work will benefit anyone involved in the fields of neural computation and pattern recognition.
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