This document provides an introduction and overview of operating systems including their structure, types, functions, and objectives. It was created by 5 students as a micro-project. The document includes an acknowledgement, table of contents, sections on the functions and role of operating systems, types of operating systems, objectives of operating systems, and some popular operating systems.
This is a deep learning presentation based on Deep Neural Network. It reviews the deep learning concept, related works and specific application areas.It describes a use case scenario of deep learning and highlights the current trends and research issues of deep learning
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete DeckSlideTeam
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck is loaded with easy-to-follow content, and intuitive design. Introduce the types and levels of artificial intelligence using the highly-effective visuals featured in this PPT slide deck. Showcase the AI-subfield of machine learning, as well as deep learning through our comprehensive PowerPoint theme. Represent the differences, and interrelationship between AI, ML, and DL. Elaborate on the scope and use case of machine intelligence in healthcare, HR, banking, supply chain, or any other industry. Take advantage of the infographic-style layout to describe why AI is flourishing in today’s day and age. Elucidate AI trends such as robotic process automation, advanced cybersecurity, AI-powered chatbots, and more. Cover all the essentials of machine learning and deep learning with the help of this PPT slideshow. Outline the application, algorithms, use cases, significance, and selection criteria for machine learning. Highlight the deep learning process, types, limitations, and significance. Describe reinforcement training, neural network classifications, and a lot more. Hit download and begin personalization. Our AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck are topically designed to provide an attractive backdrop to any subject. Use them to look like a presentation pro. https://bit.ly/3ngJCKf
Introduction to Cyber Crime Investigation Keyloggers and Spyware, Virus and Warms, Trojan and backdoors, Steganography, DOS and DDOS attack, SQL injection, Buffer Overflow, Attack on wireless Networks.
• Extracted 518 features from 100,000 audio tracks using libROSA python package and collected data using FMA’s Dataset and Echonest API
• Classified over 100,000 tracks into 16 genres using various machine learning and data mining algorithms i.e. SVM kernel, Naïve Bayes, Logistic Regression, KNN, Random Forest and Decision Tree
• Used TensorFlow and achieved an accuracy of 60.98% using SVM kernel
This is a deep learning presentation based on Deep Neural Network. It reviews the deep learning concept, related works and specific application areas.It describes a use case scenario of deep learning and highlights the current trends and research issues of deep learning
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete DeckSlideTeam
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck is loaded with easy-to-follow content, and intuitive design. Introduce the types and levels of artificial intelligence using the highly-effective visuals featured in this PPT slide deck. Showcase the AI-subfield of machine learning, as well as deep learning through our comprehensive PowerPoint theme. Represent the differences, and interrelationship between AI, ML, and DL. Elaborate on the scope and use case of machine intelligence in healthcare, HR, banking, supply chain, or any other industry. Take advantage of the infographic-style layout to describe why AI is flourishing in today’s day and age. Elucidate AI trends such as robotic process automation, advanced cybersecurity, AI-powered chatbots, and more. Cover all the essentials of machine learning and deep learning with the help of this PPT slideshow. Outline the application, algorithms, use cases, significance, and selection criteria for machine learning. Highlight the deep learning process, types, limitations, and significance. Describe reinforcement training, neural network classifications, and a lot more. Hit download and begin personalization. Our AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck are topically designed to provide an attractive backdrop to any subject. Use them to look like a presentation pro. https://bit.ly/3ngJCKf
Introduction to Cyber Crime Investigation Keyloggers and Spyware, Virus and Warms, Trojan and backdoors, Steganography, DOS and DDOS attack, SQL injection, Buffer Overflow, Attack on wireless Networks.
• Extracted 518 features from 100,000 audio tracks using libROSA python package and collected data using FMA’s Dataset and Echonest API
• Classified over 100,000 tracks into 16 genres using various machine learning and data mining algorithms i.e. SVM kernel, Naïve Bayes, Logistic Regression, KNN, Random Forest and Decision Tree
• Used TensorFlow and achieved an accuracy of 60.98% using SVM kernel
Fake news has a negative impact on individuals and society, hence the detection of fake news is becoming a bigger field of interest for data scientists. Attempts to leverage artificial intelligence technologies particularly machine/deep learning techniques and natural language processing (NLP) to automatically detect fake news and prevent its viral spread have recently been actively discussed.
Large technology companies have begun to take steps to address this trend. For example, Google has adjusted its news rankings to prioritize well-known sites and has banned sites with a history of spreading fake news. Facebook has integrated fact checking organizations into its platform.
This SlideShare explores the concept of NLP for detecting fake news in brief.
Since its launch in mid-January, the Data Science Bowl Lung Cancer Detection Competition has attracted more than 1,000 submissions. To be successful in this competition, data scientists need to be able to get started quickly and make rapid iterative changes. In this talk, we show how to compute features of the scanned images in the competition with a pre-trained Convolutional Neural Network (CNN) with Cognitive Toolkit (previously named CNTK), and use these features to classify the scans into cancerous or not cancerous, using a boosted tree with Light-GBM library, all in one hour.
Blog post: https://blogs.technet.microsoft.com/machinelearning/2017/02/17/quick-start-guide-to-the-data-science-bowl-lung-cancer-detection-challenge-using-deep-learning-microsoft-cognitive-toolkit-and-azure-gpu-vms/
Impact of Artificial Intelligence in IT IndustryAnand SFJ
https://sfjbstraining.com/product/artificial-intelligence-course
Artificial Intelligence transforms traditional computer methods but also has an impact on various industries. Software which makes Artificial Intelligence relatively more important in this sector.
Cloud computing and artificial intelligenceFurqan Haider
Hi friends, I have created this simple yet helpful slide about application of AI in cloud computing for a presentation held at my class. i hope it would help those who looking for this topic since Its a rare topic and hardly anyone else ever made ppt about this topic. thanks
Have a nice day :)
Evolution of computer Technology, emergence of cyber space. Cyber Jurisprudence, Jurisprudence and law, Doctrinal approach, Consensual approach, Real Approach, Cyber Ethics, Cyber Jurisdiction, Hierarchy of courts, Civil and criminal jurisdictions, Cyberspace-Web space, Web hosting and web Development agreement, Legal and Technological Significance of domain Names, Internet as a tool for global access.
A Theory of Knowledge Lecture given by Mark Steed, Director of JESS Dubai on Monday 4th March 2019
The lecture explains how AI works and then looks at some of the ethical implications
This Machine Learning With Python presentation gives an introduction to Machine Learning and how to implement machine learning algorithms in Python. By the end of this presentation you will be able to understand Machine Learning workflow, steps to download Anaconda, types of Machine Learning and application of these in a demo showcasing Linear Regression and K-Means clustering. Below are the topics covered in this Machine Learning presentation:
1. Why Machine Learning?
2. Applications of Machine Learning
3. How does Machine Learning work?
4. Machine Learning Workflow
5. Steps to download Anaconda
6. Types of Machine Learning
7. Linear Regression Demo
8. K-Means Clustering Demo
9. Use Case - Weather Analysis
- - - - - - - -
About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.
- - - - - - -
Why learn Machine Learning?
Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.
- - - - - -
Who should take this Machine Learning Training Course?
We recommend this Machine Learning training course for the following professionals in particular:
1. Developers aspiring to be a data scientist or Machine Learning engineer
2. Information architects who want to gain expertise in Machine Learning algorithms
3. Analytics professionals who want to work in Machine Learning or artificial intelligence
4. Graduates looking to build a career in data science and Machine Learning
- - - - - -
Machine Learning. What is machine learning. Normal computer vs ML. Types of Machine Learning. Some ML Object detection methods. Faster CNN, RCNN, YOLO, SSD. Real Life ML Applications. Best Programming Languages for ML. Difference Between Machine Learning And Artificial Intelligence. Advantages of Machine Learning. Disadvantages of Machine Learning
Fake news has a negative impact on individuals and society, hence the detection of fake news is becoming a bigger field of interest for data scientists. Attempts to leverage artificial intelligence technologies particularly machine/deep learning techniques and natural language processing (NLP) to automatically detect fake news and prevent its viral spread have recently been actively discussed.
Large technology companies have begun to take steps to address this trend. For example, Google has adjusted its news rankings to prioritize well-known sites and has banned sites with a history of spreading fake news. Facebook has integrated fact checking organizations into its platform.
This SlideShare explores the concept of NLP for detecting fake news in brief.
Since its launch in mid-January, the Data Science Bowl Lung Cancer Detection Competition has attracted more than 1,000 submissions. To be successful in this competition, data scientists need to be able to get started quickly and make rapid iterative changes. In this talk, we show how to compute features of the scanned images in the competition with a pre-trained Convolutional Neural Network (CNN) with Cognitive Toolkit (previously named CNTK), and use these features to classify the scans into cancerous or not cancerous, using a boosted tree with Light-GBM library, all in one hour.
Blog post: https://blogs.technet.microsoft.com/machinelearning/2017/02/17/quick-start-guide-to-the-data-science-bowl-lung-cancer-detection-challenge-using-deep-learning-microsoft-cognitive-toolkit-and-azure-gpu-vms/
Impact of Artificial Intelligence in IT IndustryAnand SFJ
https://sfjbstraining.com/product/artificial-intelligence-course
Artificial Intelligence transforms traditional computer methods but also has an impact on various industries. Software which makes Artificial Intelligence relatively more important in this sector.
Cloud computing and artificial intelligenceFurqan Haider
Hi friends, I have created this simple yet helpful slide about application of AI in cloud computing for a presentation held at my class. i hope it would help those who looking for this topic since Its a rare topic and hardly anyone else ever made ppt about this topic. thanks
Have a nice day :)
Evolution of computer Technology, emergence of cyber space. Cyber Jurisprudence, Jurisprudence and law, Doctrinal approach, Consensual approach, Real Approach, Cyber Ethics, Cyber Jurisdiction, Hierarchy of courts, Civil and criminal jurisdictions, Cyberspace-Web space, Web hosting and web Development agreement, Legal and Technological Significance of domain Names, Internet as a tool for global access.
A Theory of Knowledge Lecture given by Mark Steed, Director of JESS Dubai on Monday 4th March 2019
The lecture explains how AI works and then looks at some of the ethical implications
This Machine Learning With Python presentation gives an introduction to Machine Learning and how to implement machine learning algorithms in Python. By the end of this presentation you will be able to understand Machine Learning workflow, steps to download Anaconda, types of Machine Learning and application of these in a demo showcasing Linear Regression and K-Means clustering. Below are the topics covered in this Machine Learning presentation:
1. Why Machine Learning?
2. Applications of Machine Learning
3. How does Machine Learning work?
4. Machine Learning Workflow
5. Steps to download Anaconda
6. Types of Machine Learning
7. Linear Regression Demo
8. K-Means Clustering Demo
9. Use Case - Weather Analysis
- - - - - - - -
About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.
- - - - - - -
Why learn Machine Learning?
Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.
- - - - - -
Who should take this Machine Learning Training Course?
We recommend this Machine Learning training course for the following professionals in particular:
1. Developers aspiring to be a data scientist or Machine Learning engineer
2. Information architects who want to gain expertise in Machine Learning algorithms
3. Analytics professionals who want to work in Machine Learning or artificial intelligence
4. Graduates looking to build a career in data science and Machine Learning
- - - - - -
Machine Learning. What is machine learning. Normal computer vs ML. Types of Machine Learning. Some ML Object detection methods. Faster CNN, RCNN, YOLO, SSD. Real Life ML Applications. Best Programming Languages for ML. Difference Between Machine Learning And Artificial Intelligence. Advantages of Machine Learning. Disadvantages of Machine Learning
Data Science Company Profile by Slidesgo.pptxCricketbetting
Here is our Data Science & Machine Learning Course curriculum. Our course will walk you through all the essential topics in Data Science step by step so you can absorb each lesson without any hassle. Industry Relevant Curriculum, Top Faculty, Network with Domain Experts, Hands on Learning. Learn Python, SQL, Tableau and more from Industry Leaders and Top Faculty.
Data Science Company Profile by Slidesgo.pptxCricketbetting
Here is our Data Science & Machine Learning Course curriculum. Our course will walk you through all the essential topics in Data Science step by step so you can absorb each lesson without any hassle. Industry Relevant Curriculum, Top Faculty, Network with Domain Experts, Hands on Learning. Learn Python, SQL, Tableau and more from Industry Leaders and Top Faculty.
diapositivas que puedes usar para presentar tus trabajos de una forma creativa y con colores divertidos, puedes utilizarlo a tu gusto y de la forma que prefieras
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
2. A MICRO-PROJECT BY
Serial No. Name Roll No.
1. SWAPNIL GAIKWAD Y-1216
2. RUSHIKESH GAWALE Y-1217
3. SHWETA GORE Y-1218
4. SAINATH HARDADE Y-1219
5. TANVI INGALE Y-1220
3. ACKNOWLEDGEMENT
We would like to express our special thanks of gratitude to our
teacher Prof. Vidya Patil who gave us the golden opportunity to do
this wonderful project on the topic, report on Stucture, Types,
Functions & Objectives of operating system of computer. which
also helped us in doing a lot of Research and we came to know
about so many new things we are really thankful to them. Secondly
we would also like to thank our friends who helped us a lot in
finalizing this project within the limited time frame.
4. TABLE OF CONTENTS
FUNCTIO
NS OF
OS
03
Role of
OS IN
DEVICES
02
What is
operating
system?
Introductio
n of os
01
Why use an
operating
system ?
What does
operating system
do?
5. TABLE OF CONTENTS
What are the
types of operating
sytem ?
Types
of os
04
Objectiv
es of os
05
What’s the purpose
to have an
operating system ?
Some
popular
os
06
What are some
famous operating
systems?
6. OUR COMPANY
Mercury is the closest planet to the
Sun and the smallest one in the Solar
System—it’s only a bit larger than the
Moon. The planet’s name has nothing
to do with the liquid metal
7. WHAT ARE WE WORKING ON?
Despite being red,
it’s a cold place full
of iron oxide dust
MARS
Yes, Saturn is the
ringed planet. It’s a
also gas giant
SATURN
It’s a gas giant and
the biggest planet
in the Solar
System
JUPITER
It’s the closest
planet to the Sun
and the smallest
MERCURY
8. ABOUT THE
PROJECT
Mercury is the closest planet to the
Sun and the smallest one in the Solar
System—it’s only a bit larger than the
Moon. The planet’s name has nothing
to do with the liquid metal
9. “This is a quote, words full of wisdom
that someone important said and can
make the reader get inspired.”
—SOMEONE FAMOUS
10. NOW
Mercury is terribly hot—even
hotter than Mercury—and its
atmosphere is poisonous. It’s the
second-brightest natural object in
the night sky after the Moon
11. FUTURE
Jupiter is a gas giant, the biggest
planet in the Solar System and the
fourth-brightest object in the night
sky. It’s named after the Roman
god of the sky and lightning
12. MAJOR REQUIREMENTS
Mercury is the closest
planet to the Sun
MERCURY
Venus is the second
planet from the Sun
VENUS
It’s a gas giant and the
biggest planet
JUPITER
Saturn is the only
planet with rings
SATURN
Despite being red, Mars
is a cold place
MARS
It’s the farthest planet
from the Sun
NEPTUNE
14. BUDGET
To modify this graph, click on it, follow the link, change
the data and paste the new graph here
MERC
URY
VENU
S $50,000,000
Social
Media
Social
Media
TV
TV
Shop Shop
15. PROJECT GOALS
It’s the closest planet to the
Sun and the smallest one in
the Solar System—it’s only a
bit larger than the Moon
It has a beautiful name and is
the second planet from the
Sun. It’s terribly hot, even
hotter than Mercury
MERCURY VENUS
16. PREDICTED RESULTS
To modify this graph, click on it, follow the link, change
the data and paste the new graph here
Expected income for 2020
$20,000,000
New employees next year
100
17. The planet’s name has nothing to
do with the liquid metal since it
was named after the Roman
messenger god, Mercury
SNEAK PEEK
18. PROJECT STAGES
Despite being red,
Mars is a very
cold place
MARS
Saturn is a gas
giant and the
biggest planet
SATURN
It’s a gas giant and
the biggest planet
in the Solar
System
JUPITER
It’s the closest
planet to the Sun
and the smallest
MERCURY
20. TIMELINE
Venus is the second
planet from the Sun
2019
Mercury is the
smallest planet
2017
Jupiter is a gas giant
and the biggest planet
2020
Despite being red,
Mars is a cold place
2018
22. THIS IS A TABLE
MERCURY MARS JUPITER
2018 647 984 268
2019 752 546 875
2020 455 856 340
23. THIS IS A MAP
Mercury is the
smallest planet
60%
Venus has very
high temperatures
78%
24. OUR PARTNERS
Venus is the second
planet from the Sun
VENUS
Saturn is the only
planet with rings
SATURN
It’s the farthest planet
from the Sun
NEPTUNE
25. OUR TEAM
You can talk about this
person here
RICHARD ROE
You can talk about this
person here
JENNA DOE
You can talk about this
person here
JOHN SMITH
26. MOCKUP
You can replace the image on the
screen with your own work. Just
delete this one, add yours and
center it properly
27. DON’T FORGET WHAT’S
IMPORTANT
● Write your recommendations here
● Write your recommendations here
● Write your recommendations here
● Write your recommendations here
● Write your recommendations here
● Write your recommendations here
● Write your recommendations here
28. CREDITS: This presentation template was created by
Slidesgo, including icons by Flaticon, and infographics &
images by Freepik
THANKS!
Do you have any
questions?
addyouremail@freepik.
com +91 620 421 838
yourcompany.com
Please keep this slide for attribution
30. RESOURCES
VECTORS
● Flat artificial intelligence background
● Flat artificial intelligence background
● Flat artificial intelligence background
PHOTOS
● Close-up of humans handshake with tech background
● Futuristic technology screen interface
● Group of people with laptops
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34. Create your Story with our illustrated concepts. Choose the style you like the most, edit its colors, pick
the background and layers you want to show and bring them to life with the animator panel! It will boost
your presentation. Check out How it works.
Pana Amico Bro Rafiki Cuate
Storyset
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36.
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38. JANUARY FEBRUARY MARCH APRIL
PHASE 1
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JANUARY FEBRUARY MARCH APRIL MAY JUNE
PHASE 1
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Task 1
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48. Add the title here
Text 1 Text 2 Text 3
Text 4 Text 5 Text 6
2016 2017 2018 2019 2020
“Despite being red,
Mars is actually a
very cold place”
“Mercury is closest
planet to the Sun
and the smallest”
“Neptune is the
farthest-known
planet from the Sun”
“Saturn is a gas
giant and has
several rings”
“Venus is the
second planet from
the Sun and is
terribly hot”
Premium infographics
49. “Mercury is closest
planet to the Sun
and the smallest”
TITLE 1
75% “Mercury is closest
planet to the Sun
and the smallest”
“Mercury is closest
planet to the Sun
and the smallest”
“Mercury is closest
planet to the Sun
and the smallest”
75%
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