Some of the best and freely available resources are:

• Hastie, Friedman et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
• David Barber. Bayesian Reasoning and Machine Learning
• David MacKay. Information Theory, Inference and Learning Algorithms (http://www.inference.phy.cam.ac.uk/mackay/itila/)

As to the author's question I haven't met "All in one page" solution

Some of the best and freely available resources are:

• Hastie, Friedman et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
• David Barber. Bayesian Reasoning and Machine Learning
• David MacKay. Information Theory, Inference and Learning Algorithms (http://www.inference.phy.cam.ac.uk/mackay/itila/)

As to the author's question I haven't met "All in one page" solution

Some of the best and freely available resources are:

• Hastie, Friedman et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
• David Barber. Bayesian Reasoning and Machine Learning
• David MacKay. Information Theory, Inference and Learning Algorithms (http://www.inference.phy.cam.ac.uk/mackay/itila/)

Some of the best and freely available resources are:

• Hastie, Friedman et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
• David Barber. Bayesian Reasoning and Machine Learning
• David MacKay. Information Theory, Inference and Learning Algorithms (http://www.inference.phy.cam.ac.uk/mackay/itila/)

As to the author's question I haven't met "All in one page" solution