I ran into a problem in section 2.4.1 namely "Maximum likelihood and sufficient statistics" under "Exponential Distribution Family" of Bishop's Pattern Recognition and Machine Learning. excerpt
How to derive from (2.195) to (2.224)?What am I missing?