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UNIT I
UNIT I : Learn Python
1. Learn Basics of Python in 2 hr | Click Here
It contains 16 basic programs in python that help to understand the syntax, loops, conditional checking, data structures, file handling in python.
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3. Python Libraries: NumPy, Scipy, Matplotlib, Pandas, OpenCV
Specialized libraries for python for various operations such as interpolation, optimization, linear algebra, signal processing, Fourier transformation, etc
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4. Basic plotting and visualization using Python
Specialized libraries for python for various operations such as interpolation, optimization, linear algebra, signal processing, Fourier transformation, etc.
Click Here
 
5. Basic of Pandas
Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.
Tutorial1    Tutorial2
 
6. Python packages for research
For research on Scientific/Engineering problems such as AI, Bioinformatics, Chemistry, Electronics Design, GIS, Human Machine Interface, Image Recognition, NPL, etc.
Click Here
 
 
UNIT II
UNIT II : Python for Machine Learning, Optimization & Multi-threading
1. Machine Learning using Python
http://scikit-learn.org
 
2. Python Code for Optimization
Genetic Algorithm, PSO and DE code in python.
Click Here to download
 
3. Multi-threading using Python
Convert 100 text files to upper case using multi-threading.
Click Here to download

​4. Graph Theory using Python
​Algorithm and Problems
Graph Tools   → Click Here | Tutorial
iGraph           → Click Here | Tutorial
NetworkX       → Click Here | Tutorial
 
UNIT III
UNIT III : Learn R
1. Download & Install R and R-Studio
R           → Click Here to download
RStudio → Click Here to download
 
2. Learn Basics of R in 2 hr
It contains 17 basic programs in R that help to understand the syntax, loops, conditional checking, file handling and basic plotting.
Click Here to download.
 
3. Basic plotting and visualization using R
Specialized libraries for python for various operations such as interpolation, optimization, linear algebra, signal processing, Fourier transformation, etc
Click Here
 
4. [Book] R for Everyone - Advanced Analytics and Graphics
Specialized libraries for python for various operations such as interpolation, optimization, linear algebra, signal processing, Fourier transformation, etc
Click Here
 
5. R For Computer Networks

Those who are interested in Computer Networks (Security, Modelling, Analysis, Simulation, and many more). Kindly explore the following books.

 
6. R Packages for research
For research on Scientific/Engineering problems such as AI, Bioinformatics, Chemistry, Electronics Design, GIS, Human Machine Interface, Image Recognition, NPL, etc.
Click Here
UNIT IV
UNIT IV : R for Machine Learning

 

1. Books
Books on R, Python, Machine Click Here to exploreLeaning, Big Data Analytics.
  • 01 - The Machine Learning - Starter Kit
  • 02 - Data Mining with Rattle and R
  • 03 - Elements of Statistical Learning- data mining, inference and prediction
  • 04 - An Introduction to Statistical Learning with Applications in R
  • 05 - Applied Predictive Modeling
  • 07 - R for Everyone Advanced Analytics and Graphics
  • 08 - Reproducible Research with R and RStudio
  • Explore "Others Books on Machine Learning"
  • Explore "Books-Maths-Linear Lagebra-Probalility"
  • Explore "Books-Softcomputing"
 
2. Sample Datset
It contains Data set for Machine Learning practical.
Click Here to download
 
3. Machine Learning Models Code in R
Machine Learning Models using R Coding + Hands on R programming.
Click Here to download
 
4. Machine Learning Models in R
Click Here to explore
 
5. Rattle Videos
Videos on Rattle, R Studio, Create R Package
Click Here to explore
UNIT V
UNIT V : Important Resources for Machine Learning
 
1.  Machine Learning MOOCs on Coursera.org
     Recommeded courses from University of Washington.
     Click Here to explore
 
2.  Expert Talks (Videos) on Big Data
     Learn Big Data Analytics using Top YouTube Videos, TED Talks & other resources
     Click Here to explore
 
3.  The Talking Machines
     Discussion on latest topics on Machine learning people from Academics / Industry.
     Click Here to explore
 
4.  Blog @ Machine Learning Mastery.
     Great Blogs.
     Click Here to explore
 
5.  Data Set for Machine Learning
     Link1: Quora
     Link2: Google DataSet toolbox
     Link3: Sample Dataset
 
6.  Machine Learning Competitions (Crowd Analytics)
     Helpful in selecting research topics.
 
7. Join Mailing Group
 
8.  Mathematics for Machine Learning
UNIT VI
UNIT VI: Gold Mine for Researchers (Free Books, Papers, Thesis)
1. For Research Papers

Search using DOI (Digital Object Identifier).

Example (Search for): 10.1016/j.bbapap.2014.07.010

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2. For Books
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3. For Thesis | ProQuest

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4. Paper with Code | Click Here | Most Important
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5. Two Minutes Papers | Click Here​    
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​6. Explore
  • Google Dataset Search | Click Here
  • Explore Kaggle (Compete, Datasets, Notebooks, Jobs, more) | Click Here
  • UCI dataset for Regression, Classification, Clustering, etc | Click Here
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Most Important ............
"If you give 100 hours per week, you can complete your PhD in three years" - Prof. Bhim Singh, IIT Delhi.


Finally

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  1. "Mathematics is the queen of all the sciences" - Anonymous
     

  2. Whenever you have time, solve/explore maths problems, solve/explore graph problems, do maths using R/Python/Matlab/Octave, explore competitions, explore dataset.
     

  3. "Great minds discuss ideas, Average minds discuss events, Small minds discuss people"
     

  4. "Success is a journey...not a Destination!!!!"

 

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