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Machine Theory
MACHINE LEARNING WITH PYTHON: Step by Step methods to master Machine Learning with Python by Cane Alexander
epub |eng | 2020-01-12 | Author:Cane, Alexander [Cane, Alexander]

The attribute mean technique is used for replacing missing values with a mean/median value, so long as it is discrete, for specified database attributes. For example, in a database containing ...
( Category: Machine Theory July 30,2020 )
Deep Learning with PyTorch by Eli Stevens Luca Antiga & Thomas Viehmann
epub |eng | 0101-01-01 | Author:Eli Stevens, Luca Antiga & Thomas Viehmann [Eli Stevens, Luca Antiga & Viehmann, Thomas]

Figure 9.5 A CT scan with approximately 1,000 structures that look like tumors to the untrained eye. Exactly one has been identified as a nodule when reviewed by a human ...
( Category: Machine Theory July 26,2020 )
Distributed Algorithms for Message-Passing Systems by Michel Raynal
epub |eng | | Author:Michel Raynal

Let us now consider (R1) to eliminate τ i and τ j and obtain conditions on ρ, η, and ϵ, which implies simultaneously (R6′) and (R7′). Taking τ i −τ ...
( Category: Machine Theory July 21,2020 )
The Hundred-Page Machine Learning Book by Adriy Burkov
mobi |eng | 2019-07-04 | Author:Adriy Burkov

6.2.2 Recurrent Neural Network Recurrent neural networks (RNNs) are used to label, classify, or generate sequences. A sequence is a matrix, each row of which is a feature vector and ...
( Category: Intelligence & Semantics July 20,2020 )
Imaginary Mathematics for Computer Science by John Vince
epub, pdf |eng | | Author:John Vince

2. Cheng H, Gupta KC (1989) An historical note on finite rotations. Trans ASME J Appl Mech 56(1):139–145MathSciNetCrossref 3. Altmann SL (1986) Rotations, quaternions and double groups. Dover Publications, New ...
( Category: Machine Theory July 10,2020 )
Deep Learning for Coders with fastai and PyTorch by Jeremy Howard
epub |eng | 2020-06-25 | Author:Jeremy Howard

( Category: Machine Theory July 10,2020 )
TensorFlow: Deep Learning and Artificial Intelligence (Machine Learning) by ANSARI HASANRAZA
epub |eng | 2020-07-05 | Author:ANSARI, HASANRAZA [ANSARI, HASANRAZA]

Single Layer Perceptron For understanding single layer perceptron, it is important to understand Artificial Neural Networks (ANN). Artificial neural networks is the information processing system the mechanism of which is ...
( Category: Machine Theory July 9,2020 )
Machine Learning with scikit-learn Quick Start Guide by Kevin Jolly
epub |eng | 2018-11-12 | Author:Kevin Jolly [Kevin Jolly]

Classification and Regression with Trees Tree based algorithms are very popular for two reasons: they are interpretable, and they make sound predictions that have won many machine learning competitions on ...
( Category: Machine Theory July 8,2020 )
Computability and Complexity Theory by Steven Homer & Alan L. Selman
epub |eng | | Author:Steven Homer & Alan L. Selman

In this chapter we expand more broadly on the idea of using a subroutine for one problem in order to efficiently solve another problem. By doing so, we make precise ...
( Category: Machine Theory July 5,2020 )
Proofs and Algorithms by Gilles Dowek
epub |eng | | Author:Gilles Dowek

Proof By induction over the definition of f. If f is a projection F(u 1,…,u n ) reduces to ((((u i &u 1)&…&u i−1)&u i+1)&…&u n ) which under call ...
( Category: Logic July 5,2020 )
Deep Learning for Coders with fastai and PyTorch by Jeremy Howard & Sylvain Gugger
epub |eng | 2020-07-21 | Author:Jeremy Howard & Sylvain Gugger [Jeremy Howard]

( Category: Machine Theory July 4,2020 )
Python Programming : A Comprehensive Crash Course in Python for Absolute Beginners by Peter van Dijk
epub |eng | 2020-05-05 | Author:Peter van Dijk

Remember that the elif simply refers to else if and is intended to allow for checking of multiple expressions. The if the block is evaluated first, then elif block(s), before ...
( Category: Coding Theory June 30,2020 )
Python Programming: A Smarter And Faster Way To Learn Python In 7 Days: With Practical Exercises, Interview Questions, Tips And Tricks by Chris Harvard
azw3 |eng | 2019-07-17 | Author:Chris Harvard [Harvard, Chris]

But a simpler and intelligent approach could be: Program 2 Built-in functions A built-in function is a function that is already created by Python interpreter. We can’t modify it. We ...
( Category: Machine Theory June 29,2020 )
Hands-on Deep Learning with R by Michael Pawlus
epub |eng | 2020-04-24 | Author:Michael Pawlus [Michael Pawlus]

ohe <- caret::dummyVars(" ~ .", data = train_chars) train_ohe <- data.frame(predict(ohe, newdata = train_chars)) After running the preceding code, we will have two new data objects in our Environment pane. ...
( Category: Machine Theory June 29,2020 )
Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining by Hack Samuel
epub |eng | 2020-04-24 | Author:Hack, Samuel [Hack, Samuel]

Another approach would be to duplicate the training dataset, i.e. the dataset can be divided and each data set will contain a replica of the model. This approach is favored ...
( Category: Combinatorics June 28,2020 )

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