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.

How do I get an internship as a data scientist in India?

Data Science will always remain an integral part of the culture and economy of the world because Data Science is helpful for companies in many ways. As it helps to understand the customer need in an enhancing manner. The findings and results of Data Science can be applied in every sector like hospitality, travel, education, banking etc. So we can understand the power and requirement of Data Science.

It is accessible for every sector so that there are many requirements of Data Science interns. The requirements you can search for job searching websites.

Now comes on how can you train yourself to be Data Science professional. TECHNOGEEKS in Pune helps you get selected for your dream job. TECHNOGEEKS is an institute which provides training for various courses RPA, AWS, Hadoop, Data Science, Python, Java, Informatica, DevOps, and Angular JS etc.

Why TECHNOGEEKS?

· Our Data Science program is a job oriented program.

· Our training program provides basic to advanced knowledge of every topic.

· Our course design is also as per the industry requirement.

· We provide regular workshop sessions for the practising of students.

· We give a chance to students to interact with industry experts for boosting up their confidence.

· Our faculty is the best trained skilled facility in the field of Data Science.

· We provide training with real-time projects.

· Provide 100% placements assistance and guidance in resume preparation.

Contact us at- 8600998107 or Email us at contact@technogeekscs.co.in

Visit our website for details: technogeekscs.com

Syllabus contents of Data Science are:

The modules covered under Data Science course is:

Section 1 – Introduction to Python

Section 2 – Setting up and installations

Section 3 – Python object and data structures operations

Section 4 – Python statements

Section 5 - UDF functions and methods

Milestone Project - 1

Section 6 - File and exception handling

Section 7 - Python modules and packages

Section 8 – Object-oriented programming

Section 9 - Advanced Python Modules

Section 10 – Package installation and parallel processing

Section 11 – Introduction to Machine learning with Python

Milestone Project – 2

Section 12 - Data Analysis with Python

Section 13 – Data analysis using Numpy

Section 14 – Pandas and advanced analysis

Section 15 – Data visualization with Python

Section 16 Machine learning Algorithms

Section 17 – REST APIs with flask and python

During the course we arrange doubt clearing sessions time to time for a better understanding of the students.

After course completion, we provide a final project which students do by their own under an expert’s guidance.

Hope this helps.

Thanks for reading.

All the best for your future!

 

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!

Introduction To Hadoop Ecosystem Technogeeks

Watch Introduction To Hadoop Ecosystem class recording here, by Technogeeks

Hadoop Ecosystem is a conglomeration of different Hadoop components in its overall framework. To learn and understand the entire Hadoop Ecosystem, watch this video, which puts you through to the following topics:



Hadoop Ecosystem

Hadoop Core Components



Technogeeks is a Group of Explorer located in Pune that provides Instructor-Led Live, classroom classes for learners who would prefer a hassle-free and self-paced learning environment, accessible from any part of the world.

The topics related to the ‘Hadoop Eco-system’ are extensively covered in our 'Big data and Hadoop' course.

For more information, please write back to us at contact@technogeekscs.co.in

Call us at US: 860-099-8107



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