Thursday, 24 November 2016

Easy Steps to become proficient in Machine Learning:

Easy Steps to become proficient in Machine Learning:

In this post I would like to know you about an easy way of few steps to mastering into machine learning. Before that every one has few basic questions in their mind. Where to start? How to proceed?

Where to start learn ML? 

To understand this post, that is enough to have minimum knowledge on machine learning in Python.The main aim of this post is to know you about the freely available tools to in the market.

I am writing this post by assuming you are not an expert in

1. Machine learning
2. Python
3. Any of Python related machine learning like scientific computing(SCIKIT), or data analysis libraries

Tuesday, 22 November 2016

What machine learning algorithms can be suitable for data and images?

What machine learning algorithms can be suitable for data and images?

In this post I would like to give brief idea about when to use which algorithms on what data.

We have gone through the previous post, Introduction to machine learning.

Machine learning is used to filter spam data, recognizing the face, recommendation engines.When you have a large data set on which you’d like to perform analytical analysis or for example to recognize the patterns.

To avoid explicit programming, we can use machine learning, to train computers which can learn, analyse and act on the data as we specified.These qualities make machine learning more powerful on these days and also all the machine learning softwares are free.We can also implement our application on single machine or massive scale.

We can use machine learning libraries in all languages, environment you prefer (java, c++, python...etc languages, windows, linux...Etc OSs)

Here I am giving brief introduction of 11 machine learning tools, provides functionality for individual apps.

Tuesday, 8 November 2016

Difference between supervised, unsupervised Machine learning

Difference between supervised, unsupervised Machine learning:

As we studied about the introduction of Machine learning in the previous post, I am just refreshing again in two lines below.

Machine learning is a field of computer science, probability theory, and optimization theory; this allows the people complex tasks to be solved for which a logical/procedural approach would not be possible or feasible.

The different categories of machine learning are shown below
  • Supervised learning
  • Unsupervised learning

Supervised learning:

In supervised learning, we have some really complex function from inputs to outputs. we have lots of examples of input/output pairs, but we don't know what that complicated function is. Using supervised learning algorithm we can make it possible.

Monday, 7 November 2016

Introduction to machine learning

Introduction to machine learning:

What is Machine Learning?

Now a days Machine learning is the more weighted and costly topic to learn. In this post I would like to share my knowledge on machine learning. Machine learning is a type of artificial intelligence that provides computers with the ability to learn without being explicitly programmed.

The main target of Machine learning is the development of computer programs that can teach themselves to grow and change when exposed to new data.

The machine learning process is very similar to data mining.The data mining process is also searches through the data which looks for the patterns. Similarly machine learning uses the data to detect the patterns and adjust the programs accordingly.

Tuesday, 2 August 2016

Exceptions handling in python with Examples

What is an exception?
In this post I am trying to explain how the exceptions got
Here I am giving definition to the exception. An event which is got occurred during the execution of a program which disturbs the normal flow of our application is known as exception. When an exception occurs, it causes the current process to stop and passes it to the calling process until it is handled. If we cannot handled it properly, our application will crash. To avoid these types of problems we need to catch them and handle them properly, then our application will not crash and cannot got interrupted in middle.

Tuesday, 26 July 2016

Bit flags, Bit masks and why they are useful?

Bit flags, Bit masks and why they are useful? Explanation with examples.


First of all we want to know what bit flag is and what is bit mask, in this post I would like to give brief knowledge on bit flags and bit masks

Bit Flags: As of we know that we cannot access bits directly, So we have to use the bit-wise operators to set, unset, or query them.

Bit flags are the individual bits that are used to improve the efficiency of the storage.

In storage-intensive cases where we have lots of related Boolean options, it can be useful to “pack” 8 individual Boolean's into a single byte for storage efficiency purposes.

Why are bit flags useful?

Bit flags are used in two cases:

1) It is very much useful when you have many sets of identical bit flags.

Sunday, 24 July 2016

Diff in Conversion ctr and explicit ctr

Diff in Conversion ctr and explicit ctr, explain with examples:


Before going to know about the difference between the implicit and explicit convertions we need to have a little bit knowledge on casting

Casting


Casting means converting form one data type to another. We have two types of castings
·        Implicit casting
·        Explicit casting


Implicit casting


The Implicit casting doesn't require any casting operator. This casting is normally used when converting data from smaller integral types to larger or derived types to the base type.