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Dubin MonySoftware Engineer with 12 years experience, India
$25 /hr
12 Years Exp.
I am a software engineer with 12 years experience. My areas of specialization includes Machine Learning and Artificial Intelligence. I also run a star...Read More
Business Analyst/Data Analytics professional with 10+ years of relevant work experience in the arena of Business Analysis, Data Visualization, Data An...Read More
Business Intelligence Business Card Design Business Planning Business Continuity Planning Business Analysts Business Cards Business Valuation Business Management Business Process Reengineering Business Coaches Business Mathematics Business Analysis Business Proposal Writing Business Planning Analysts Business Activity Monitoring Business Development Analysts Pharmaceutical Industry Financial Reporting Email Design Call Center Management Technical Documentation Project Finance Investment Banking Budgeting & Forecasting Business Process Management (BPM) Website Wireframing Financial Analysis Call Handling Microsoft Office SharePoint Server HRsoft Talent Management Product Design Insurance Agency Operations Email Deliverability Investigative Reporting Proposal Writing Document version control Evolus Pencil Health Technology Email Technical Support Visual Basic Personal Budgeting Data Science & Analytics Sales Writing Human Resource Information Systems Email Campaign Setup Report Writing Custom Insight Employee Engagement Survey Healthcare Information Technology Email Marketing Consultants General Office Skills Budget Management Product Sourcing Email Tech Support Agents Web Scraping CallTools Call Center Software Sales Copywriting MS Office 365 Insurance Consulting Outbound Sales Microsoft Office 365 BPO IT Services Data Warehousing Employee Training Insurance Policy Analysis Web Search Product Management Expense Reporting Microsoft Excel PowerPivot Automation Product Development Online Transaction Processing (OLTP) Visualization Stakeholder Management Sales Healthcare Management Data Logistics iReport Format & Layout SendGrid Google Analytics ActiveX Data Objects (ADO) Google Spreadsheets Product Descriptions Custom CMS Flowcharts Google Search Lucid Software Lucidchart Microsoft Power BI Data Visualization Chat Support Email Support HTML Microsoft Outlook Report Microsoft Power BI Macros Reports Word-of-Mouth VBA HRM Google Docs 
I am a City and Guilds certified telecommunications Engineer and I have two years experience on computer repair and software maintenance. I also do mu...Read More
Odyssey Studiosoftware development and sites managing , Albania
$20 /hr
26 Years Exp.
I'm a professional Web developer and graphic designer 4 years work experience
Soumaya Odoo python developper , Tunisia
$20 /hr
4 Years Exp.
I am a odoo python developer and have 4 years of experience
Ritika Raideveloper, India
$16 /hr
0 Years Exp.
I am a developer and my area of interest is machine learning , artificial intelligence and app development and also have working experience in that
Reshma ShyleshkumarSoftware Developer, India
$14 /hr
3 Years Exp.
I am a certified python developer with 3 yrs of Experience covering c++ and added other languages like perl, java etc. Interested to work with new tec...Read More
Kaustav MalakarTechnical Project Manager, India
$9 /hr
13 Years Exp.
I'm a certified project manager (PMP) with more than 13 years of experience in IT industry in primarily data warehousing projects. I'm worke...Read More
Shail SsFull Stack Developer, India
$12 /hr
5 Years Exp.
I have got Highly Appreciated 5+ years of experience as an IT consultant. Experienced with Responsive Dynamic, high-trafficked sites with data/code to...Read More
Karthik VenkatTableau and Power BI Developer, India
$20 /hr
4 Years Exp.
I have 4 years of experience in working on Tableau and Power BI. Extensive experience in using BI tools like Tableau 8.x, 9x, 10.x, 2018.x Versions.
Sairam PotuBusiness Development Associate, India
$30 /hr
15 Years Exp.
Myself Sairam Potu working as Business Development Associate in Soulpage IT Solutions from India. I would like to introduce myself as a highly motivat...Read More
Srinivas Naredlaai engineer, India
$25 /hr
6 Years Exp.
I have deep expertise with strong mathematical foundation in artificial intelligence especially deep learning. I code in Python. I have experience...Read More
Abhishek SaxenaDeep Learning Practitioner, India
$1 /hr
0 Years Exp.
I am a computer science student with a deep interest towards Machine Learning and Deep Learning
I come with 10 years of extensive experience in Microsoft Business Intelligence development including SSRS/SSIS and Tableau BI. I am Certified PMP, ha...Read More
Aditya PandeyData Analyst, India
$50 /hr
8 Years Exp.
I am working with Genpact(Gurgaon) as Data Analyst since 5 years. I maintain weekly/monthly reports depending upon the client's requirement. Tool...Read More
Fast, reliable and professional. I am a brazilian professional software developer and data analyst. More than 20 years of experience. I am exper...Read More
Vikram Data Scientist, India
$3 /hr
3 Years Exp.
Data Science enthusiast proficient in analysing and exploring data using statistics ,who worked on Computer vision and data science projects
Nishank ChauhanDeveloper, India
$14 /hr
7 Years Exp.
Hey we are a startup and had done various projects in past and would like to offer our services at a very affordable rate. We had experience in delive...Read More
Maulik RavalSoftware Engineer, India
$15 /hr
4 Years Exp.
I am having 4+ years of experience in Odoo domain to serve ERP solutions and support. Also have experience for developing AI chatboat with Google API....Read More
Sumit MaanData Scientist, India
$20 /hr
1 Years Exp.
IIT Bombay graduate, data scientist with hands on experience in machine learning and data analytics. Can excel on tasks as mentioned below: -Image...Read More
Shivam GuptaSr Data Analyst, India
$10 /hr
4 Years Exp.
A jack of multiple trades with experience in EPC industry project team looking after Planning/ Cost Control /Project SCM/ Production Planning/ Domesti...Read More
Shailesh SardaJr. Data Scientist, India
$4 /hr
1 Years Exp.
1. Expert in building customized Machine Learning algorithms leveraging statistical concepts and Machine Learning tools. 2. Used machine learning...Read More
Samar MohapatraArtificial intelligence developer, India
$72 /hr
1 Years Exp.
I am a passionate artificial intelligence developer looking for exciting projects since my IIT days
I am data science enthusiast currently working in image processing and computer vision. I have done a course in machine learning and Post Graduation i...Read More
Mohamed khedher, XR (extended reality) developer working at the intersection of technology and storytelling, combining computer graphics, immersive ex...Read More
Shweta Data Scientist, India
$25 /hr
2 Years Exp.
I am Data Scientist having 2 years of experience. Qualification : Masters in Statistics Have a strong hands on machine learning, Statistics, Predi...Read More
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Skills related to Artificial Intelligence

Articles Related To Artificial Intelligence

Python is one of the fastest growing programming languages. It has undergone more than 28 years of the successful span. Python itself reveals its success story and a promising future ahead. Python programming language is presently being used by a number of high traffic websites including Google, Yahoo Groups, Yahoo Maps, Shopzilla, Web Therapy, Facebook, NASA, Nokia, IBM, SGI Inc, Quora, Dropbox, Instagram and Youtube. Similarly, Python also discovers a countless use for creating gaming, financial, scientific and instructive applications.


Python is a fast, flexible, and powerful programing language that's freely available and used in many application domains. Python is known for its clear syntax, concise code, fast process, and cross-platform compatibility.


Python is considered to be in the first place in the list of all AI and machine learning development languages due to the simplicity. The syntaxes belonging to python are terribly easy and can be easily learn. Therefore, several AI algorithms will be easily implemented in it. Python takes short development time as compared to different languages like Java, C++ or Ruby. Python supports object oriented, functional as well as procedure oriented styles of programming. There are lots of libraries in python that make our tasks easier.


Some technologies relying on python:

Python has become the core language as far as the success of following technologies is concerned. Let’s dive into the technologies which use python as a core element for research, production and further developments.


  1. Networking: Networking is another field in which python has a brighter scope in the future. Python programming language is used to read, write and configure routers and switches and perform other networking automation tasks in a cost-effective and secure manner.
  2. Big Data: The future scope of python programming language can also be predicted by the way it has helped big data technology to grow. Python has been successfully contributing in analyzing a large number of data sets across computer clusters through its high-performance toolkits and libraries.
  3. Artificial Intelligence (AI): There are plenty of python frameworks, libraries, and tools that are specifically developed to direct Artificial Intelligence to reduce human efforts with increased accuracy and efficiency for various development purposes. It is only the Artificial Intelligence that has made it possible to develop speech recognition system, interpreting data like images, videos etc.


Why Choose Python for Artificial Intelligence and Machine Learning?

Whether a startup or associate MNC, Python provides a large list of benefits to all. The usage of Python is specified it cannot be restricted to only one activity. Its growing popularity has allowed it to enter into some of the most popular and complicated processes like artificial intelligence (AI), Machine Learning (ML), natural language process, data science etc. The question is why Python is gaining such momentum in AI? And therefore the answer lies below:


Flexibility: Flexibility is one of the core advantages of Python. With the option to choose between OOPs approach and scripting, Python is suitable for every purpose. It works as a perfect backend and it also suitable for linking different data structures together.


Platform agnostic: Python provides developer with the flexibility to provide an API from the existing programming language. Python is also platform independent, with just minor changes in the source codes, you can get your project or application up and running on different operating systems.


Support: Python is a completely open source with a great community. There is a host of resources available which can get any developer up to speed in no time. Not to forget, there is a huge community of active coders willing to help programmers in every stage of developing cycle.


Prebuilt Libraries: Python has a lot of libraries for every need of your AI project. Few names include Numpy for scientific computation, Scipy for advanced computing and Pybrain for machine learning.


Less Code: Python provides ease of testing - one of the best among competitors. Python helps in easy writing and execution of codes. Python can implement the same logic with as much as 1/5th code as compared to other OOPs languages.


Applications of Python:

There are so many applications of Python in the real world. But over time we’ve seen that there are three main applications for Python

Web Development: Web frameworks that are based on Python like Django and Flask have recently become very popular for web development.

Data Science (including Machine Learning): Machine Learning with Python has made it possible to recognize images, videos, speech recognition and much more.

Data Analysis/Visualization: Python is also better for data manipulation and repeated tasks. Python helps in the analysis of a large amount of data through its high-performance libraries and tools. One of the most popular Python libraries for the data visualization is Matplotlib.


The global demand for data Science professionals is extremely high because of increasing relevance across various sectors. Data Science has become the most-sought skill because the data is piling along with a surge in different tech fields like Artificial Intelligence, machine learning and data Analytics. Hiring data scientist is being carried across numerous domains like e-commerce, education, retail, telecommunication and much more.


In the past years, analysts used excel tools to analyze data. Things are changing now! In this modern world, data-driven decision making is sparkling and technology is advanced in the data industry. The tools and technologies that modern Data Scientists employ are a combination of statistical and Machine Learning algorithms. They are used to discover patterns using predictive models. The future of Data Science is bright and the options for its implementation are extensive.


Data Scientists must consistently evolve at the edge of innovation and creativity. They must be aware of the types of models they create. These innovations will allow them to spend time discovering new things that may be of value. Subsequently, the advances in Data Science tools will help leverage existing Data Science talent to a greater extent.


So what does a Data Scientist do?

Data Scientists influence a pile of data in an innovative way to discover valuable trends and insights. This approach helps to identify opportunities by implementing research and management tools to optimize business processes by reducing the risks. Data Scientists are also responsible for designing and implementing processes for data mining, research and modeling purposes.


Data scientist performs research and analyses data and help companies flourish by predicting growth, trends and business insights based on a large amount of data. Basically, data scientists are massive data wranglers. They take a vast data and use their skills in mathematics, statistics and programming to scrub and organize the information. All their analysis combined with industrial knowledge helps to uncover hidden solutions to business challenges.


Generally, a data scientist needs to know what could be the output of the big data he/she is analyzing. He/she also needs to have a clearly defined plan on how the output can be achieved with the available resources and time. Most of all the data scientists must know the reason behind his attempt to analyze the big data.


To achieve all of the above, a data scientist may be required to:


Every organization has unique data problems with its own complexities. Solving different Data Science problems requires different skill sets. Data Science teams are groups of professionals with varied skill sets. They, as a team, solve some of the hardest data problems an organization might face. Each member contributes distinctive skill set required to complete a Data Science project from start to finish.


The Career Opportunities:

The careers associated with data science are generally categorized into five.


  1. Statisticians: Statisticians work usually for national governments, marketing research firms and research institutes. Extracting information from massive databases through numerous statistical procedures is what they do.
  2. Data Analyst: Telecommunication companies, manufacturing companies, financial companies etc. hire data scientists to analyze their data. A data analyst keeps track of various factors affecting company operation and make visual graphics.
  3. Big Data and Data Mining Engineer: Tech companies, retail companies and recreation companies use data scientists as data mining engineers. They have to gather and analyze huge amounts of data, typically from unstructured information.
  4. Business Intelligence Reporting Professional: They work for tech companies, financial companies, and consulting companies etc. Market research is the primary objective of this job. They also generate various reports from the structured data to improve the business.
  5. Project Manager: A project manager evaluates data and insights fetched from the operational departments and influences the business decisions. They have to plan the work and make sure everything goes in accordance with the plan.

A chatbot is an artificial intelligence powered piece of software in a device, application, web site or alternative networks that try to complete consumer’s needs and then assist them to perform a selected task. Now a days almost every company has a chatbot deployed to interact with the users.


Chatbots are often used in many departments, businesses and every environment. They are artificial narrow intelligence (ANI). Chatbots only do a restricted quantity of task i.e. as per their design. However, these Chatbots make our lives easier and convenient. The trend of Chatbots is growing rapidly between businesses and entrepreneurs, and are willing to bring chatbots to their sites. You might also produce it yourself using Python.


How do chatbots work?

There are broadly two variants of chatbotsRule-Based and Self learning.

  1. In a Rule-based approach, a bot answers questions based on some rules on that it is trained on. The rules outlined could be very easy to very complicated. The bots will handle easy queries but fail to manage complicated ones.
  2. The Self learning bots are those that use some Machine Learning-based approaches and are positively a lot of economical than rule-based bots. These bots may be of additional two types: Retrieval based or Generative.
    1. In retrieval-based models, Chatbot uses the message and context of conversation for selecting the best response from a predefined list of bot messages.
    2. Generative bots can generate the answers and not always reply with one of the answers from a set of answers. This makes them more intelligent as they take word by word from the query and generates the answers.


Building a chatbot using Python


The field of study that focuses on the interactions between human language and computers is called Natural Language Processing. NLP is a way for computers to analyze, understand, and derive meaning from human language in a smart and useful way. However, if you are new to NLP, you can read Natural Language Processing in Python.



NLTK (Natural Language Toolkit) is a leading platform for building Python programs to work with human language data. It provides easy-to-use lexical resources such as WordNet, along with a suite of text processing libraries.


Importing necessary libraries

import nltk 

import numpy as np 

import random 

import string # to process standard python strings


Copy the content in text file named ‘chatbot.txt’, read in the text file and convert the entire file content into a list of sentences and a list of words for further pre-processing.


f=open('chatbot.txt','r',errors = 'ignore')


raw=raw.lower()# converts to lowercase

nltk.download('punkt') # first-time use only

nltk.download('wordnet') # first-time use only

sent_tokens = nltk.sent_tokenize(raw)# converts to list of sentences 

word_tokens = nltk.word_tokenize(raw)# converts to list of words


Pre-processing the raw text

We shall now define a function called LemTokens which will take as input the tokens and return normalized tokens.


lemmer = nltk.stem.WordNetLemmatizer()

#WordNet is a semantically-oriented dictionary of English included in NLTK.

def LemTokens(tokens):     

return [lemmer.lemmatize(token) for token in tokens]

remove_punct_dict = dict((ord(punct), None) for punct in string.punctuation) 

def LemNormalize(text):     

return LemTokens(nltk.word_tokenize(text.lower().translate(remove_punct_dict)))


Keyword matching

Define a function for greeting by bot i.e. if user’s input is greeting, the bot shall return a greeting response.

GREETING_INPUTS = ("hello", "hi", "greetings", "sup", "what's up","hey",)

GREETING_RESPONSES = ["hi", "hey", "*nods*", "hi there", "hello", "I am glad! You are talking to me"]

def greeting(sentence):

for word in sentence.split():

if word.lower() in GREETING_INPUTS:

return random.choice(GREETING_RESPONSES)


Generate responses

To generate a response from our bot for input queries, the concept of document similarity is used. Therefore, we start by importing necessary modules.

From scikit learn library, import the TFidf vector to convert a collection of raw documents to a matrix of TF-IDF features

from sklearn.feature_extraction.text import TfidfVectorizer

Also, import cosine similarity module from scikit learn library

from sklearn.metrics.pairwise import cosine_similarity

This will be used to find the similarity between words entered by the user and therefore the words within the corpus. This can be the simplest possible implementation of a chatbot.

Define a function response that searches the user’s vocalization for one or more known keywords and returns one of several possible responses. If it doesn’t find the input matching any of the keywords, it returns a response: “I’m sorry! I don’t understand you”


def response(user_response):



TfidfVec = TfidfVectorizer(tokenizer=LemNormalize, stop_words='english')

tfidf = TfidfVec.fit_transform(sent_tokens)

vals = cosine_similarity(tfidf[-1], tfidf)


flat = vals.flatten()


req_tfidf = flat[-2]


robo_response=robo_response+"I am sorry! I don't understand you"

return robo_response

else:  robo_response = robo_response+sent_tokens[idx]

return robo_response


I have tried to explain in simple steps how you can build your own chatbot using NLTK and of course it’s not an intelligent one.

I hope you guys have enjoyed reading.

Happy Learning!!!

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