ge predix machine learning

}\theta_{j}^2$$Maximum interval (Large Margin intuition)For $y=1$ data, we want $\THETA^TX \ge 1$ and not just $\ge 0$; For $y=0$ data, we want $h_\theta (x) \leq-1$ and not just $Figure 2 Support vector machine optimal hyper-plane and maximum margin (distance between two dashed lines), support vector refers to the point on the two dashed line (in the high-dimens

This blog records "Machine Learning Combat" (machinelearninginaction) learning process, including algorithmic introduction and Python implementation. SVM (Support vector machine) SVM is a classification algorithm, through the analysis of training set data to find the best separation plane, and then use the flat face to

one, factor decomposition machineFMthe Modelfactor decomposition Machine (factorization machine, FM) is bySteffen Rendlea machine learning algorithm based on matrix decomposition is proposed. 1, Factor decomposition machineFMThe advantagesfor factor decomposition machinesFM, the most important feature is that the spars

From http://www.infoq.com/cn/news/2014/07/pycon-2014This year's Pycon was held in Montreal, Canada on April 9, and Python has been widely used in academia thanks to its rapid prototyping capabilities. The recent official website has released videos and slideshows of the General Assembly tutorial section, including a number of (nearly half) content related to data mining and machine learning, as described in

find a relevant job, it is easy to get into the road. Some graduate students engaged in machine learning and scientific computing will encounter many difficulties when they directly go to the python third-party library to write code, it is recommended to supplement basic knowledge. Whether you can write code to solve the problem is to determine whether you have learned programming. We recommend that you n

Machine learning algorithm principle, implementation and practice-three elements of machine learning 1 Model In supervised learning, the model is the conditional probability distribution or decision-making function to be learned. The hypothetical space of the model contains

The problem that machine learning can solve well Recognition mode Identify exceptions Pre-measured Brain work modeHuman beings have a neuron, each of which includes a weight, and the bandwidth is much better than a workstation.Different types of neuronsLinear (linear) neuronsBinary threshold (two-valued) neuronsWatermark/2/text/ahr0cdovl2jsb2cuy3nkbi5uzxqv/font/5a6l5l2t/fontsize/400/fi

Download link:Stanford machine learning notesThis series of notes was organized from November 2013 to July 2014. All content is personal understanding. The reason for taking notes is to quickly remember the relevant methods later. Understanding errors is inevitable. please correct me if it is inappropriate.Notes are organized according to the notes of the Stanford Machi