Data Science and AI Quest

This technical blog is my own collection of notes , articles , implementations and interpretation of referred topics in coding, programming, data analytics , data science , data warehousing , Cloud Applications and Artificial Intelligence . Feel free to explore my blog and articles for reference and downloads . Do subscribe , like , share and comment ---- Vivek Dash

Showing posts with label programming. Show all posts

Showing posts with label programming. Show all posts

Sunday, June 27, 2021

Infographic Conceptual Note on Difference between Coding and Programming - Short Summary for Interview Questions

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, iteration, machine learning, neural networks, programming

Friday, June 18, 2021

Infographic Note on Common Debugging Techniques in Coding and Python - Short Summary for Interview Questions

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, debugging, machine learning, neural networks, programming, techniques

Infographic Note on Importance of Debugging Codes and Programs in Python - Short Summary for Interview Questions

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Labels: ai, algorithms, application, artificial intelligence, coding, computer science, data analytics, data exploration, data science, debugging, machine learning, neural networks, program, programming, software

Concept of InnerClasses in OOPS and Python - Short Summary for Interview Questions

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, inner class, machine learning, neural networks, program, programming

Tuesday, June 15, 2021

Infographic Note on Input Streams and Output Streams in Python Programming Language

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, Input, machine learning, neural networks, Output, programming, python, Streams

Sunday, June 13, 2021

Some Important Questions on Naive bayes Algorithm and their usages in Analytics and Data Science

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Labels: ai, algorithms, amazon, artificial intelligence, aws, cloud, coding, computer science, computing, data analytics, data exploration, data science, evolution, machine learning, programming, reliability, scalability

Infographic Descriptive Note on the concept of Flexibility of Amazon Web Services (AWS) Cloud Computing

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Labels: ai, algorithms, amazon, artificial intelligence, aws, cloud, coding, computer science, computing, data analytics, data exploration, data science, evolution, flexibility, machine learning, programming, reliability

Infographic Descriptive Note on the concept of Cloud Computing , its evolution , usage and revenue models

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Labels: ai, algorithms, artificial intelligence, cloud, coding, computer science, computing, data analytics, data exploration, data science, evolution, machine learning, neural networks, programming

Step-by-Step learning for Effective Data Science Learning - Referred from Mr.Krish Naik , Data Scientist

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, machine learning, neural networks, notes, programming, revision

Friday, June 11, 2021

Infographic Descriptive Note on the concept of Physical Security of Amazon Web Services (AWS) Cloud Computing

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Labels: ai, algorithms, amazon, artificial intelligence, aws, cloud, coding, computer science, computing, data analytics, data exploration, data science, evolution, machine learning, programming, reliability, scalability

Infographic Descriptive Note on the concept of Physical Security of Amazon Web Services (AWS) Cloud Computing System

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Labels: ai, algorithms, artificial intelligence, aws, cloud, coding, computer science, computing, data analytics, data exploration, data science, machine learning, physical, programming, security

Infographic Descriptive Note on the concept of "Cost-Effectiveness" as a feature of Amazon Web Services (AWS) Cloud Computing

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Labels: ai, algorithms, artificial intelligence, cloud, coding, computer science, computing, cost-effectiveness, data analytics, data exploration, data science, machine learning, neural networks, programming

Infographic Descriptive Note on the concept of Flexibility of Amazon Web Services (AWS) Cloud Computing

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Labels: ai, algorithms, artificial intelligence, aws, cloud, coding, computer science, computing, data analytics, data exploration, data science, flexibility, machine learning, neural networks, programming

Infographic Descriptive Note on the concept of Cloud Computing , its beginning and history

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Labels: ai, algorithms, artificial intelligence, beginning, cloud, coding, computer science, computing, data analytics, data exploration, data science, evolution, history, machine learning, neural networks, programming

Infographic Descriptive Note on the concept of Cloud Computing , its evolution , usage and revenue models

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Labels: ai, algorithms, artificial intelligence, cloud, coding, computer science, computing, data analytics, data exploration, data science, evolution, machine learning, neural networks, programming

Thursday, June 10, 2021

Infographic Short Note on Serverless Computing , Serverless Cloud Computing and Function as a Service(FaaS)

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Labels: ai, algorithms, artificial intelligence, cloud, coding, computer science, computing, data analytics, data exploration, data science, FaaS, machine learning, neural networks, notes, programming, revision, server;ess

Infographic Short Note on Serverless Computing and Serverless Cloud Computing Scenario

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Labels: ai, algorithms, artificial intelligence, cloud, coding, computer science, computing, data analytics, data exploration, data science, machine learning, neural networks, notes, programming, revision, serverless

Infographic Descriptive Note on Pursuing a Data Science and Machine Learning career without a degree of course

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, github, kaggle, machine learning, neural networks, notes, programming, revision

Infographic Short Note on Data Pipelines and Data Pipelining in ETL and Data Warehousing

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, machine learning, neural networks, notes, pipeline, pipelining, programming, revision

Infographic Note on difference between a Data Engineer vs Software Engineer's Tasks and nature of job

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, machine learning, neural networks, notes, optimisation, programming, revision

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One Hot Encoding and Dummy Variables Generation upon a dataframe | Scenario - Perform One-Hot Encoding upon Un-Ordered Data in a sample dataframe and generate One-hot encoded feature variables | Conceptual Infographic Note

Data Pre-processing in Machine Learning - All the constituent steps which are part of a Machine Learning Project ( infographic notes )
Example on Permutation and Combination of numbers
One Hot Encoding and Dummy Variables Generation upon a dataframe | Scenario - Perform One-Hot Encoding upon Un-Ordered Data in a sample dataframe and generate One-hot encoded feature variables | Conceptual Infographic Note

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