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

What qualities should a software engineer have?

 STAY POSITIVE AND PATIENT

A great programmer cares about the end-user and how the product serves them. Their dedication to the user shines through their work. They are positive and patient enough to work through the most boring and difficult problems. They take pride in their code and enjoy polishing it. Cutting corners just isn’t their style. When the occasional urgent deadline occurs, a great programmer will prove their dedication and step up to the challenge. (Although it’s fair to say that frequent unrealistic deadlines will exhaust any engineer)

EXCELLENT COMMUNICATION SKILLS

Good communication skills directly correlate with good development skills. A great developer is able to understand problems clearly, break them down into hypotheses and propose solutions in a coherent manner. They understand concepts quickly, or ask the right questions to understand, and don’t need to have everything written down in a specification document.

GREAT AT TIME AND TASK MANAGEMENT

Great developers are highly reliable and respect deadlines. They understand that humans are terrible at predicting the effort and time required to complete large complex projects, so they use tools and strategies (like Agile Points) to help them.

I find that exceptional developers are great at managing their clients or leaders instead of the other way around. They make life easier for everyone they work with.

QUICK LEARNING ABILITY

The best skill anyone can have knows how to learn, and great developers have mastered the skill of self-learning. This usually comes from a love of knowledge, reading, problem-solving and learning in general. New technologies excite them and they have the ability to pick them up quickly. The way a great programmer will pull disparate bits of information and process information on the fly, always impresses me. While every programmer will experience a situation where he or she doesn’t know the answer. Great programmers will find different resources, talk to the right people and find the solution no matter what.

TECHNICAL PROGRAMMING SKILL AND EXPERIENCE

Great developers are experts in a handful of programming languages and are competent in many others. They have developed the ability to predict and recognize coding problems.

Great software developers follow coding standards and write documentation so their work can be passed on to someone else easily.

Python Institutes in Pune

Technogeeks provide you best Python Institutes in Pune. Python is an interpreted, high-level, general-purpose programming language. It provides constructs that enable clear programming on both small and large scales. Python is Very Easy to Learn. with the help of python, we can create Websites, Games, and Applications. nowadays python is a Trending Programming language and the Best Language for Make a Carrier in the IT Industry.

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What should I learn, AI or blockchain?

Artificial Intelligence is the science and engineering of making computer machines able to perform tasks which normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.

The ultimate effort is to make a computer programs that can solve problems and achieve goals in the world, as well as humans.

There is a scope in developing the machines in game playing, speech recognition machine, language detection machine, computer vision, expert systems, robotics and many more.

70% of the companies in the world believe that they need to adopt Artificial Intelligence, in some way or another, to remain competitive by 2020. While most of them have already started using Artificial Intelligence to automate most of their work-force. The use of Artificial Intelligence has helped companies in being more productive in less time.

The biggest challenge corporates across the globe are facing is the lack of Artificial Intelligence professionals. The rate at which the field of Artificial Intelligence is growing the demand for Artificial Intelligence professionals are growing at the same rate or even faster.

Blockchain has given rise to a new field of development called blockchain development. Blockchain development involves developing and optimizing blockchain protocols and crafting the architecture of blockchain systems. A blockchain developer is responsible for creating integrated smart contracts and web applications using blockchain technology. The two types of blockchain developers are:

·        Core Blockchain Developers: They develop and design the architecture and protocols of a blockchain system and design consensus protocols and high-level development decisions related to blockchain.

·        Blockchain Software Developers: They use the protocols and architecture designed by core blockchain developers to build decentralized applications.

As Blockchain technology continues to evolve, so will its professional opportunities. The Blockchain is here with us to stay which means that Blockchain Expertise is to be in high demand for years and years to come. So, whether you are a techie or not, a career in Blockchain is a new and exciting opportunity worth exploring.

The combination of AI and blockchain holds many exciting potential applications. It’s worth remembering, though, that these technologies are still very young. Most of these hybrid applications will take years to develop or may not even develop at all. They’re certainly powerful ideas, but researchers and developers should take great care when working on such projects. The ethical implications of both blockchain and AI are massive, and the stakes are high for the economy, governance, and society as a whole.

If you are looking to learn these technologies then I would recommend you to enrol in Technogeeks training program under a working IT professional.

Which is Better for Job Opportunities, AWS or Azure?

 Amazon Web Services (AWS) is a cloud service platform from Amazon, which offers services in various domains such as compute, Object storage, content delivery and other functionality which helps the organizations to scale and grow their business.

Hence, AWS offering services are categorized into 3 types such as Infrastructure as a service (IaaS), software as a service (SaaS) and platform as a service (PaaS). Today it becomes the best cloud platform among currently available cloud platforms.

Azure is a cloud service platform by Microsoft, which offers services in various domains such as compute, storage, database, networking, developer tools and other functionality which help businesses to scale and grow.

Azure services are also broadly categorized as the platform as a service (PaaS), software as a service (SaaS) and Infrastructure as a service (IaaS). This can be used by developers and software employees to create, deploy and manage services and applications through the cloud and emerges as one of the biggest commercial cloud service providers.

There are several cloud computing technologies in the market. You will come across an overwhelming number of cloud service providers, hybrid solutions, products, services, features and more. There are two public cloud behemoths that have captured a majority of the market - Microsoft Azure and Amazon AWS. So, if you are planning to grow your career in public cloud computing, you need to choose between these two providers. Making a choice between these two providers is not an easy job! Both of these companies are leaders in their own rights, so none has an unprecedented edge over the other. It is important to understand both these technologies into detail, take into consideration multiple factors before making a decision. Both Amazon AWS and Microsoft Azure offer similar capabilities revolving around storage, security, and networking.

Amazon AWS is an already established leader in cloud computing, while Azure is catching up at a rapid pace. In terms of popularity, both AWS and Azure are competing on the same level. One core difference is that AWS operates more on an Infrastructure-as-a-Service (IaaS) level while Azure operates more on Platform-as-a-Service (PaaS) level.

It is not surprising when people say that the future is in cloud computing. Taking cloud computing at this stage is a great time to get prepared for this evolving industry. Businesses today are moving away from the traditional methods and approaches, so the role and demand of a cloud computing expert are going to rise in coming times. You can build a long and successful career and embrace the new opportunities arising in cloud computing. Both these cloud computing giants have their set of merits, you need to understand your skills and interests before choosing any one of them. It’s the best time for you to move your career in cloud computing and I would suggest you take a look at Technogeeks Cloud Computing programs by working IT professionals.

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NLP is Very Essential in Healthcare and Life Science

Offered by Technogeeks. This course covers a wide range of tasks in Natural Language Processing from basic to advanced: sentiment analysis, summarization, dialogue state tracking, to name a few.

Enroll Now! Instructor-led Training.

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