Deep Learning with Python “Data Science Training in Pune”

 Deep learning is also known as deep structured learning. It is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, semi-supervised or unsupervised.

Deep learning architectures such as deep neural networks, deep belief networks and recurrent neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics and drug design, where they have produced results comparable to and in some cases superior to human experts. Data Science Training in Pune is providing advanced training in Data Science.

Deep learning models are vaguely inspired by information processing and communication patterns in biological nervous systems yet have various differences from the structural and functional properties of biological brains, which make them incompatible with neuroscience evidence.

The term Deep Learning was introduced to the machine learning community by Rina Dechter in 1986. Deep learning is closely related to a class of theories of brain development. Deep Learning or Machine learning we can do by any one of the programming languages Like by Python, by R Programming Language or by Spark and Scala. People can create Deep Learning algorithms by using python.

Deep learning is the most interesting and powerful machine learning technique right now. Top deep learning libraries are available on the Python ecosystem like Theano and TensorFlow.

Python Training in Pune:

Python is an interpreted high-level programming language for general-purpose programming. Created by Guido van Rossum and first released in 1991, Python has a design philosophy that emphasizes code readability, notably using significant whitespace. It provides constructs that enable clear programming on both small and large scales.

In Python Institutes in Pune, Lot of modules are there in the market like Core Python, Python Scripting, Python with Data Science, Python in Data Visualization, Python in Machine learning, Python in Deep Learning. Python is the future of the IT Industry. In Python, Technogeeks offers every module of Python like Core python.

Some topics of Core Python which Technogeeks is going to cover are:

• Core Objects and Built-in Functions
• Conditional Statements and Loops
• UDF Functions and Object Functions
• Debugging, Framework & Regular expression
• Exceptional Handing and Object-Oriented
• Python Built-in Library
• File Handling with Python
• Database interaction with Python
• Package Installation, Windows spreadsheet
• Parsing and webpage scrapping

Data Science with Python:

Data science is an interdisciplinary field of scientific methods, processes, algorithms and systems to extract knowledge or insights from data in various forms, structured or unstructured, similar to data mining.

Data Science Technogeeks offers Machine Learning, Deep Learning, NLP (Natural language processing), Data visualization these concepts Technogeeks providing by Python, R programming language and by Spark & Scala also.

For learning data science any one programming language is required. Python is one of the vast programming languages to learn data science because there is a lot of libraries or you can say bundle of libraries in python. Technogeeks offers Python Training in Pune with 2 Real-time projects and POCs in that Data Science Course total course which Technogeeks offers is provided by Data Scientists only.

Functions in Python

A function is a block of statements in which instruction is given to perform a particular task. It provides code reusability. They provide better modularity of the program. Python has a number of built-in functions and we can have a user-defined function also in it. Functions in Python, we have three parts:

1) Function Declaration

2) Definition

3) Calling

Functions in Python

A function declaration is done first before giving the code to be performed. There is some rule for function definition

1) There is a keyword def followed by the function name and ()

2) The argument and parameter are given in ()

3) Colon: will be used for indentation

4) The first statement of the function is an optional statement in which the documentation string or the docstring

5) The return statement exit the function and the return without argument will be similar to return none

Function definition in Python Programming will be code which we have to run to get the required output. Function calls can be done in two ways

1) Call by value

2) Call by reference

TYPES OF FUNCTION with Few Functions Example:

1) Function with no argument and no return value

2) Function with no argument and with return value

3) Function with argument and no return value

4) Function with argument and with return value

Function Argument:

1) Keyworded

2) Default

3) Variable-length argument

4) Required Argument

The Anonymous Functions:

These functions are called anonymous because they are not declared in the standard manner by using the def keyword. You can use the lambda keyword to create small anonymous functions. For more details visit Python Training Institutes in Pune.

Lambda forms can take any number of arguments but return just one value in the form of an expression. They cannot contain commands or multiple expressions.

An anonymous function cannot be a direct call to print because lambda requires an expression. Lambda functions have their own local namespace and cannot access variables other than those in their parameter list and those in the global namespace.

Although it appears that lambdas are a one-line version of a function, they are not equivalent to inline statements in C or C++, whose purpose is bypassing function stack allocation during invocation for performance reasons.

Built-In Function in Python:

1) Print()-to print any value or anything on the screen

2) Abs()-Return the absolute value of a numeric value

3) Round()-Return the rounded value of a numeric value

4) Max()-return the largest item

5) Sorted()-it will sort in ascending order

6) Len()-give the number of elements in the list or number of characters of the string

7) Type()-give the type of variable

8) Zip()-create the tuples of variable

9) Chr()-return the string representing the character whose Unicode point is the integer given in ()

10) Filter()-Give an iterator for the element of inerrable for which the function give true

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