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.

Which is the best data science training institute in Pune which can also provide job assistance or placement assistance to candidates?

In general, Data Science covers many topics within its network, including AI, deep learning, IoT, and many others. The action of the data interface and calculation in the algorithm to solve many problems of the enterprise. With the growth of data science and the latest technological advancements, the benefits of data science have multiplied. This will be the scope of data science in 2019.

The Continuing Future of Data Science Considers this type of trend for the coming year. The future of innovation and business can be considered as a large database. Data Science will bring just as much ease of use and development in the coming year. The digital world has increased dramatically.

Technogeeks is the best institution offering Data Science Training in Pune for fresh graduates as well as Working Professional. Technogeeks offers well managed Data Science Course in Pune and also provide 100% placement assistance through its industrial Training division that interfaces with the global giants hiring cloud professionals.

Digital experiences will fully relate to human experiences. This type of trend should be revealed and updated immeasurably. One type of big data analysis focuses on updating business operations. Essentially, they need to understand all of the company's work processes and transfer data to companies. Finally, all of the above concepts will explain the scope of data science in 2019.

Is data science really a rising career?

A huge amount of data is generated every day by companies. This means every company is now sitting with a pile of data and does not really know what to do with that data. So, to organize this volume of data and draw meaningful insights from it, they require people who are experts in Data Science.

Organizations (irrespective of their size) are on the lookout of those employees who can fathom as well as synthesize data and then, in turn, communicate those very outcomes in a method that serves advantageous to the organization and assists the management in making decisions.

A data scientist can work in any global location. In addition, along with the technology industry, a data scientist can work in different industries as well as domains, ranging from pharma/healthcare to sales/marketing. They can also work in domains like consulting, financial services, CPG industries, and retail.

Apart from the above-mentioned uses, data science has proven to solve many complex real-time problems. A few examples of the real-world problems which have found peace in the modern-day data-driven solutions are:

· Advancement in the field of data science has made it easier to detect fraud and abuse in insurance firms now. The credit card fraud detection system works on similar grounds. It protects the security of customers, thus, minimizing losses due to fraud.

· Automated piloting: The concept behind self-driven vehicles runs on data science. Still, in its nascent stage, this will change the functioning of the automobile industry entirely.

· Prediction of short term (local) and long term (global) weather.

The demand for professionals in data is increasing due to the rise in the popularity of data-driven decision making. Where people used Excel to work on data earlier, tools like Hadoop have nowadays secured a place for managing Big Data. With frequent advancement in technology, several other tools find a meaningful use for organizations to make impactful decisions. The usage of a few is listed below:

· Tools like Python and R have witnessed exceptional improvements in their codes. These allow users to solve complex problems with only a few lines of codes.

· Google Analytics is another effective tool for the marketing department.

· Tools like Tableau, Microsoft Power BI and Sisense have found relevance in the business intelligence departments for the purpose of data visualization.

Nowadays, there are plenty of options for data science training that one can opt for. There are many institutes offering data science courses and I would recommend you to enrol in Technogeeks data science program, they offer the best combination of data science courses which are in demand and the course which they offer is provided by working IT professionals.

How Does AI Learn Things?

Unlike humans, AI has computational power that allows it to process copious amounts of data. As AI’s tasks continue to become more advanced, there’s also an increase in computational power necessary-which can become expensive. In order to avoid this need, AI was made to be a specific purpose learner. If AI gains the ability to relate data that is similar, it should be able to more efficiently process the data and understand it with a lower amount of power.

AI makes you look better in selfies, prevents blindness, and can even turn water into tastier beer. Tech giants and governments say we’re living in a golden age of AI. Roll out the self-driving cars!

AI is already used in multiple disciplines and industries. These devices are capable of reading, writing, speaking, seeing, and understanding. They are able to recognize emotions, play games, and even debate. Due to these capabilities, AI is often leveraged as a virtual assistant that can help plan meetings; as a tool to simplify the job hunting and hiring processes; and much more.

However, in order for this technology to be able to advance, it needs to be able to learn.

AI systems rely on artificial neural networks (ANNs), which try to simulate the way the brain works in order to learn.

ANNs can be trained to recognise patterns in information - including speech, text data, or visual images - and are the basis for a large number of the developments in AI over recent years.

Conventional AI uses input to 'teach' an algorithm about a particular subject by feeding it massive amounts of information.  

Practical applications include Google's language translation services, Facebook's facial recognition software and Snapchat's image altering live filters.

The process of inputting this data can be extremely time consuming and is limited to one type of knowledge.

A new breed of ANNs called Adversarial Neural Networks pits the wits of two AI bots against each other, which allows them to learn from each other.

This approach is designed to speed up the process of learning, as well as refining the output created by AI systems.

If you want to learn artificial intelligence then you can enrol for one of the best resources i.e. Artificial Intelligence Course Technogeeks. This training is led by trainers who are AI experts. Besides, at the end of the training, they also awarded me an AI course completion certificate.

Why is Python considered a good language for AI and Machine Learning?

Python has enjoyed a steady rise to fame over recent years and is now jostling for the position of one of the most popular programming languages in the world. Favoured for applications ranging from web development to scripting and process automation, Python is quickly becoming the top choice among developers for artificial intelligence (AI), machine learning, and deep learning projects.

The high-level, robust programming language focuses on rapid application development. The core functionality has helped Python become one of the fastest-growing programming languages. Here are top reasons why developers and companies working on emerging technologies including AI, and ML tend to choose Python.

Simple code structure:

Python focuses on reducing the number of lines of code that you write to execute a function. The language simplifies the code and makes it readable. The combination of Python and AI will help in reducing the size of code that developers write. The language, if used with AI and ML algorithms, will make it easier to reduce the quantity of code.

Vast Community:

Python is well-known for its extremely vast community. Since its release, the community is contributing largely and which is the reason a Python user never feels abandoned with sudden changes. The constant upgrade by the developer community support makes Python one of the most suitable languages for machine learning applications. Large organisations such as Google, Amazon, Facebook, etc. are using this language.

Frameworks & Libraries:

One thing the developers like most about Python is the abundance of open source libraries and frameworks. The language has a great number of machine learning libraries and some of the prominent libraries are such as TensorFlow, Pytorch, Matplotlib, SciKit Learn, etc. Python has a collection as well as code stack of various open-source repositories in almost every domain such as Django for integrating web applications, pandas for machine learning, SciPy for scientific computing, Librosa for audio, OpenCV for images, NumPy for text, etc. Other commonly used libraries for artificial intelligence and machine learning are such as pyDatalog (Logic Programming engine in Python), PyML (the bilateral framework is written in Python that focuses on SVMs and other kernels methods), EasyAI (Simple Python engine for two-players games with AI), PyBrain (simple and effective algorithm for ML tasks), AIMA (Python implementation of algorithms), simple, etc.

If you are interested in learning AI with Python then I would recommend you to enrol in Tehcnogeeks Artificial Intelligence with Python the program under a working IT professional with hands-on projects.

What is The Hot Research Topics in Data Science?

 The hot research topics in data science: -

Artificial Intelligence:

AI has become the mainstream technology for both small and large businesses, and it will bloom in the next few years. At present, we are at the initial stage of using artificial intelligence, but in 2021, we will see more advanced applications of AI in all fields. The reason AI is growing rapidly is that it allows enterprises to improve their overall business processes, and provides a better way of handling both customer and client’s data.

Though utilizing AI will still remain a challenge for many, as exploring the advancement of this technology is not that simple. In 2021, we will find more advanced apps developed with AI, Machine learning, and other technologies that can improve the way we work. Another trend that will take over the market is automated machine learning that will be helpful in transforming data science with better data management. So, you might need specialized training for executing deep learning.

Natural Language Processing:

Natural Language Processing (NLP) has made its way firmly into Data Science after huge breakthroughs in Deep Learning research.

Data Science first began as an analysis of purely raw numbers since this was the easiest way to handle it and collect it in spreadsheets. If you needed to process any kind of text, it would usually need to be categorized or somehow converted into numbers.

Yet it’s quite challenging to compress a paragraph of text into a single number. Natural language and text contain so much rich data and information - we used to be missing out on it since we lacked the ability to represent that information as numbers.

Huge advancements in NLP through Deep Learning are fuelling the full-on integration of NLP into our regular Data Analysis. Neural Networks can now extract information from large bodies of text incredibly quickly. They’re able to classify text into different categories, determine sentiment about a text, and perform analysis on the similarity of text data. In the end, all of that information can be stored in a single feature vector of numbers.

As a result, NLP becomes a powerful tool in Data Science. Huge datastores of text, not just one-word answers but full-on paragraphs, can be transformed into numerical data for standard analysis. We’re now able to explore datasets that are far more complex.

Data Science has become one of the growing fields in all industries, especially the IT industry. Thus, businesses adopting data science techniques and technologies must stay up-to-date with the latest trends. If you are looking to learn data science and want to work on data science trends then I would recommend you to take a look in Technogeeks Data Science program by working IT professionals.

Is it Worth Learning Data Science in 2021?

Yes, it is worth learning, in recent times, Data Science, an emerging technology, has perhaps been the most discussed term in the Information and Technology industry. Data Science, Machine Learning, and Analytics is considered to be among the hottest career paths. The demand for skilled data science practitioners in industry, academia, and the government is rapidly growing. The ongoing “data rush” is therefore attracting so many professionals with diverse backgrounds such as physics, mathematics, statistics, economics, and engineering.

With the amount of data that is being generated and the evolution in the field of Analytics, Data Science has turned out to be a necessity for companies. Today, more and more organizations, ranging from small scale to large enterprises, have realized the importance of Data Science and are implementing its capabilities to successfully scale up their business to new heights. There is an intense lack of more than 1 million Data Scientists in the approach to 2020. Some of the roles associated with Data Science are as follows:

·        Data Scientist

·        Data Engineer

·        Data Analyst

·        Machine Learning Engineer

·        Statistician.

Data science is the amalgamation of your specialized aptitudes, analytical bent of mind and sharp business keenness making it the job role for the exceptionally skilled and driven having enormous growth opportunities.

We live in a digital world, everything is data-driven. There is data science in business, accounting, education, science, engineering, healthcare, technology, energy sector, government, and so on. So, having the ability to work with data is an essential skill.

You will lead a various group of tech talent, business managers, chiefs, and settle on significant level executive decisions that will legitimately influence the fortunes of the organization putting you directly in the driver’s seat.

By learning the foundations of data science, you can increase your odds of getting a job in the data science field. The question to ask yourself is this: When the opportunity in data science comes knocking at your door, will you be ready? If you have been putting data science off, this is the time to start your journey, do not delay.

There are web-based training institutes that give quality training, profoundly experienced mentors, educational programs in a state of harmony with the industry goals, real industry projects, certifications, and job assistance. And I would suggest you take a look in Technogeeks Data Science program which has well-designed courses which are taught by industry experts and provide complete knowledge about this field.

Best Training Courses For Learning RPA, Salesforce, And Data Science

 If you live in Pune and want to learn Robotic Process Automation or RPA, you should find an
institute that offers this course and join the best RPA training in Pune. Top technical training
centres and institutions offer the RPA certification courses to learners and students who want to
gain knowledge on RPA concepts and the tools associated with it. Apart from theory classes, the
training centres also impart real-life practical training to students. The learners get an RPA
certificate on completion of the course and the institutes from where they do the course helps
them in getting a job with a good salary. The top training centres offer the facility of flexible
learning so the students can join the classes as per a schedule that suits them.

Learning Salesforce can be beneficial for students who want a career with a good scope in the
future. The institutes of Salesforce training in Pune teach the basic and advanced concepts of
Salesforce with practical knowledge that helps students after they complete the course and start
working. The Salesforce courses are job oriented and there is no shortage of job opportunities for
people who join this course. The course would benefit both beginners and advanced learners.
Employees of IT companies and people who work in MNCs can also benefit by learning
Salesforce. Working professionals can attend Salesforce classes easily as the training centres
organize separate sessions for them.

Data Science is another popular course that attracts a large number of students. The data science
Pune institutions have a policy of flexible timing. The fee for this course is affordable and most
courses of data science have no special condition on the qualification of a student who wants to
learn the subject. Thus, the course is open to all, and it offers a very good opportunity to know
more about the fascinating topic of data science and develop a career in this field. Joining this
course can be beneficial for automation engineers, robotics engineers, data analysts, hardware
developers, quality analysts, and other professionals whose work involve data science in some or
other way.

Can a non-engineering student become data analyst/ scientist?

 If you are from technical, mathematics, statistics background it is good news. It will be easy for you to learn Data Science comparatively with a non-technical person. But if you are not from that background, you must start from scratch. Firstly you must clear mathematics and statistical concepts. You must understand the basics first before learning DataScience.

After equipped yourself with mathematics and statistical concepts you can learn Data Science with a reputed institute like TECHNOGEEKS.

TECHNOGEEKS is a reputed institute in Pune that provides training for Data Science, Machine learning, Selenium, Informatica, Hadoop Big Data, DevOps, RPA, Angular JS, Java, AWS, Cloud computing, Spark, Scala and many more.

TECHNOGEEKS focuses on teaching Data Science at an intensive level with 100% placement assistance. You can go for 2 months (weekends) or 3 months (weekdays) training program offered by TECHNOGEEKS.

TECHNOGEEKS experts are industry professionals with an experience of +10 years. They are having depth knowledge about the course and well trained to teach the students. Even after completion of the course, you will get a chance to work on a live project. My suggestion is if you are searching for a Data Science institute, check TECHNOGEEKS, you can reach them at 8600998107 or at email- contact@technogeekscs.co.in

If you will join TECHNOGEEKS, you will get

70% practical sessions, 30% theoretical sessions

Live scenarios

Case studies

Chance to work on real-time projects

Guidance in resume modification

100% placement assistance

More learning from Data Science certified professional

Visit https://bit.ly/30Hy0Hy

for more details

The Data Science course is start with equipping basic concepts like an introduction to Python, setting up and installations, Python object and data structures operations, Python statements, UDF functions and methods, Milestone Project – 1, File and exception handling, Python modules and packages, Object-oriented programming, Advanced Python Modules, Package installation and parallel processing, Introduction to Machine learning with Python, Milestone Project – 2, Data Analysis with Python, Data analysis using Numpy, Pandas and advanced analysis, Data visualization with Python, Machine learning Algorithms, REST APIs with flask and python

Apart from subject training their trainers help you to achieve your career goals as they provide you the better career counselling. The fee is also very nominal at TECHNOGEEKS.

You can join their free demo sessions every weekend so that you will get in touch with a trainer and also aware of their teaching methodology. So make a call to their academic counsellor and register yourself for the demo session. Click on the below link to get more details about the course.

So don’t wait and get trained yourself with TECHNOGEEKS

Thanks for reading!

Good Luck!

Learn Differences Between Data Science and Machine Learning

Study machine learning concepts and methods, test your skills and reveal insights from your cloud data using Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

For Instant Registration call now +91 860-099-8107 / 7028710777

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AngularJS Course in Pune

AngularJS Training and Master Plus Course in Pune

Technogeeks Best Software Training Institute for AngularJS Online Training, Provides AngularJS Online Training Course, Classes by Real-Time expert.




Best angular and mean stack combination training classes in Pune with Placement assistance

Course Highlights

• HTML, CSS, Bootstrap, JavaScript basics fundamental ( prerequisite level)
• TypeScript language
• Reusable components designing
• Directives
• Bindings
• Dependency Injection
• HTTP web services
• Routing
• Animations
• Angular materials
• Forms validation
• Interview preparation
• Profile update
• Job Assistance
• Authentication and Authorization
• 2 Mini projects
• 1 major Ecommerce Website based Project Implementation

Module-1 Fundamental and prerequisite for Angular

• Foundation level practical’s
• HTML 5
• CSS 3
• JavaScript
• DOM Modification With JS
• Bootstrap 4
• Hands-on project (JS Game)
• Versions History of Angular

Module-2 TypeScript language Introduction and features:

• Types and Type Assertion
• Interface
• Class and Object
• Arrow Function
• Access Modifier
• Access Modifier in the constructor
• Constructor
• Properties and Module

Module-3 Fundamentals of Angular

• Components
• Building Reusable Components
• Templates
• Directives
• services
• Dependency Injection
• CLI (Generation Components and Services)

Module-4 Binding and Displaying Data

• Property Binding
• Attribute Binding
• Class Binding
• Style Binding
• Event Binding
• Two-way binding
• Pipe
• Custom Pipe
• Title Case

Module-5 Reusable Component

• Component API
• Output property
• Passing event data
• View encapsulation
• ngContent
• ngContainer

Module-6 Directives

• ngIF
• ngSwitchCase
• ngFor
• Change detection
• TrackBack
• ngClass
• ngStyle

Module-7 Forms And Validation

• Bootstrap Form
• ngModel
• ngForm
• Validations

Module-8 Consuming Web Services

• JSONPlaceHolder
• GET Data
• Create ,Update,Delete Data
• Exception handling
• Map Operator
• Observable and promises
• Optimistic and Pessimistic Update

Module-9 Routing and Navigation

• Routing in a NutShell
• Configure Route
• Router Outlet
• Router Link & Link Active
• Getting the route Parameter
• Route With Multiple Parameter
• Query Parameter
• Switch Map Operator
• Form(template driven and Reactive)
• Consuming Http Services
• Routing and Navigation
• Authentication and Authorization

Module-10 Advance Angular Material

• Animation
• Angular Material
• Authentication and Authorization

Module-11 Project Implementation

• Ecommerce Website based Project Implementation
• Customer Profile page
• Product page, Maintaining Cart
• Using Session and local storage of Browser
• Creating Admin page
• Checkout page

Which Is The Best Tableau Training Near Pimple Saudagar Pune?

Tableau is one of the fastest-growing tools in data visualization and it is used in the BI industry. It shows the data into an easily understandable format without any coding or technical skills. It helps to understand the data in a better way in the form of charts, graphics, etc. Tableau is also used to manage metadata. It can import the data of many ranges and all sizes.

It is now and for always in increasing demand. Many organizations like Accenture, Amazon, flip kart, Walmart, etc. are using tableau. So that you can understand that what are the career opportunities you may get if you are an expert in tableau.

Which institute is best to learn Tableau?

TECHNOGEEKS is the Best Tableau Training Institute in Pune. Here we are mentioning our few qualities.

• Our trainers are real-time expert trainers in the industry.
• We provide training of the latest training curriculum.
• We equally focus on each student as we keep the limited seats in a single batch.
• We explain the projects in real-time so that students get hands-on experience on that.
• Our sessions are real-time sessions and we teach every topic practically.
• We provide 24*7 support to the students.

After the completion, we assist the students in resume preparation and interview preparation.

We discuss interview questions with the students so that they get aware of it.

We also provide 100% placement assistance to our students and assists them till they don’t get placed for the job.

We provide the free demo sessions on every weekend.

Email us at contact@technogeekscs.co.in

Or find us at https://technogeekscs.com

Benefits of Tableau:

We can work on a lot of data and out of it can create a variety of visualizations. There are many inbuilt features of Tableau that are helpful to get beneficial output by creating visualizations. Tableau helps the organizations to analyze the data without any specific approach. We can look at the same data in different ways. It can be useful for those people too who don’t have the technical skills, which means this is very helpful for ground-level people. We can also switch among various visualizations to get a greater context. The most beneficial features of the tableau are real-time analysis, data blending, collaboration of data and the other one is a non-technical person can work on it. Tableau works by extracting data from various places. The data can be pulled out using tableau from any platform. The data can be extract by any database, PDF, word, excel, Oracle, SAP, etc. Even the data can be pulled from Amazon Web Services. So, don’t wait to join our free demo session (Contact: 8600998107) and get enroll yourself with TECHNOGEEKS to opt for the best future opportunities. Thanks!