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Machine learning

NEWTONgravity
By NEWTONgravity
in Programming
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I am a mechanical engineer. Recently i have been wanting to learn machine learning. I have basic knowledge of python and c++ and know calculus,  linear algebra and probability pretty well. I want to teach myself and dont want to opt for any courses. Please suggest where to start and which books to start learning from. Thank you. 

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Look into Tensorflow

▓ƆԀ▓ S▓₱▓Ɇ▓c▓s▓: i7 6ʇɥפᴉƎ00K (4.4ghz), Asus DeLuxe X99A II, GT҉X҉1҉0҉8҉0 Zotac Amp ExTrꍟꎭe),Si6F4Gb D???????r PlatinUm, EVGA G2 Sǝʌǝᘉ5ᙣᙍᖇᓎᙎᗅᖶt, Phanteks Enthoo Primo, 3TB WD Black, 500gb 850 Evo, H100iGeeTeeX, Windows 10, K70 R̸̢̡̭͍͕̱̭̟̩̀̀̃́̃͒̈́̈́͑̑́̆͘͜ͅG̶̦̬͊́B̸͈̝̖͗̈́, G502, HyperX Cloud 2s, Asus MX34. פN∩SW∀S 960 EVO

Just keeping this here as a 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Well, I'd recommend learning Scikit-learn first before Tensorflow.

For the main reason being that Scikit-learn, is relatively easier to implement 'basic' machine learning algorithms compared to Tensorflow, not to mention the former is 'much much' easier to run.

Although, if you need something more complicated, Tensorflow, will be your only option, but it is relatively harder to use.

 

PS:

Anyways, I'd recommend installing 'anaconda' to easily access the data science, and scientific libraries of python, not to mention the easy creation of environments.

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A very good AI bundel on offer at the moment for only $15: https://www.humblebundle.com/books/artificial-intelligence-books?hmb_source=navbar&hmb_medium=product_tile&hmb_campaign=tile_index_2


I have brought a few different Humble Bundles before and been very happy in the past.

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On 3/13/2018 at 2:38 PM, NEWTONgravity said:

I am a mechanical engineer. Recently i have been wanting to learn machine learning. I have basic knowledge of python and c++ and know calculus,  linear algebra and probability pretty well. I want to teach myself and dont want to opt for any courses. Please suggest where to start and which books to start learning from. Thank you. 

What kind of machine learning are you interested in?

There are genetic algorithms, neural networks, decision trees, association rules, inductive logic programming, rule learning, and dictionary learning. Atleast, those are the types I can think of off the top of my head. Sometimes these are compounded on top of one another (for example, using a genetic algorithm to determine the best weights/values for a neural network).

I guess my question is: What do you want to do with machine learning?

ENCRYPTION IS NOT A CRIME

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On 14/03/2018 at 1:43 PM, Moon Man said:

Well, I'd recommend learning Scikit-learn first before Tensorflow.

For the main reason being that Scikit-learn, is relatively easier to implement 'basic' machine learning algorithms compared to Tensorflow, not to mention the former is 'much much' easier to run.

Although, if you need something more complicated, Tensorflow, will be your only option, but it is relatively harder to use.

 

PS:

Anyways, I'd recommend installing 'anaconda' to easily access the data science, and scientific libraries of python, not to mention the easy creation of environments.

Keras on Python is also very easy to learn and has support for both Tensorflow and Theano backends. Most components simply slot into the model in a single line without large amounts of configuration.

Example: 

model = Sequential()
model.add(Embedding(src_vocab, n_units, input_length=src_timesteps, mask_zero=True))
model.add(LSTM(n_units))
model.add(RepeatVector(tar_timesteps))
model.add(LSTM(n_units, return_sequences=True))
model.add(TimeDistributed(Dense(tar_vocab, activation='softmax')))
return model

This website provides a number of useful tutorials: https://machinelearningmastery.com/

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