First 9 chapters in correct format

[fatimajshah]

Chapter 1:
Figure breakdown:

mlprojectlifecycle.png
Source: Medium
URL: https://ihsanulpro.medium.com/complete-machine-learning-project-flowchart-explained-0f55e52b9381
Placement: 1.4.7
Caption: Machine Learning Project Life Cycle

mlapplications.png
Source: Educba
URL: https://www.educba.com/applications-of-machine-learning/
Placement: 1.1
Caption: Common applications of Machine Learning

Chapter 2:
Figure breakdown

cloudml.png
Source: Original illustration
Placement: 2.2.4
Caption: Section summary - Cloud ML

edgeml.png
Source: Original illustration
Placement: 2.3.4
Caption: Section Summary - Edge ML

tinyml.png
Source: Original illustration
Placement: 2.4.4
Caption: Section Summary - Tiny ML

venndiagram.png
Source: arxiv
URL: https://arxiv.org/html/2403.19076v1
Placement: 2.5
Caption: ML Venn diagram

Chapter 3:

Figure Breakdown:

deeplearning.png
URL: https://www.leewayhertz.com/what-is-deep-learning/
Source: Leeway Hertz
Placement: Section 3.1.3
Caption: Deep learning applications, benefits and implementations.

mlvsdl.png
URL: https://aoyilmaz.medium.com/understanding-the-differences-between-deep-learning-and-machine-learning-eb41d64f1732
Source: Medium
Placement: Section 3.2.4
Caption: Comparing Machine Learning and Deep Learning.

forwardpropagation.png
URL: https://www.linkedin.com/pulse/lecture2-unveiling-theoretical-foundations-ai-machine-underdown-phd-oqsuc/
Source: Linkedin
Placement: Section 3.2
Caption: Neural networks - forward and backward propagation.

Chapter 4:
Figure Breakdown:

comparingdlandml.png
URL: https://www.bbntimes.com/technology/to-leverage-deep-learning-you-must-know-this-first
Source: BBN Times
Proposed placement: Section 4.2
Caption: Comparing Traditional Machine Learning and Deep Learning.

embeddedai.png
URL: https://www.rinf.tech/what-is-embedded-intelligence-and-how-can-tech-leaders-embrace-it/
Source: Rinf.tech
Proposed placement: Section 4.2
Caption: Embedded AI applications

Chapter 5:

datacollection.png
URL: https://www.altexsoft.com/blog/data-collection-machine-learning/
Placement: 5.4
Source: Alexsoft
Caption: Pillars of data collection.

Chapter 6:

staticvsdynamic.png
https://www.google.com/url?sa=i&url=https%3A%2F%2Fdev-jm.tistory.com%2F4&psig=AOvVaw0r1cZbZa6iImYP-fesrN7H&ust=1722533107591000&source=images&cd=vfe&opi=89978449&ved=0CBQQjhxqFwoTCLC8nYHm0YcDFQAAAAAdAAAAABAY
Caption: Comparing Static and Dynamic graphs.
Source: Dev
Placement: 6.4.2

overfittingunderfitting.png:
URL: https://www.google.com/url?sa=i&url=https%3A%2F%2Fwww.aquariumlearning.com%2Fblog-posts%2Fto-make-your-model-better-first-figure-out-whats-wrong&psig=AOvVaw3FodMJATpeLeeSsuQZBD51&ust=1722534629114000&source=images&cd=vfe&opi=89978449&ved=0CBEQjRxqGAoTCNiU49br0YcDFQAAAAAdAAAAABCoAQ
Caption: Overfitting vs. Underfitting
Source: Aquarium Learning
Placement: 6.4.7

tensorflowpytorch.png:
URL: https://www.google.com/url?sa=i&url=https%3A%2F%2Fkruschecompany.com%2Fpytorch-vs-tensorflow%2F&psig=AOvVaw1-DSFxXYprQmYH7Z4Nk6Tk&ust=1722533288351000&source=images&cd=vfe&opi=89978449&ved=0CBEQjRxqFwoTCPDhst7m0YcDFQAAAAAdAAAAABAg
Caption: PyTorch vs TensorFlow: Features and Functions
Source: K&C
Placement: 6.4.2

transferlearning.png:
URL: https://www.google.com/url?sa=i&url=https%3A%2F%2Fanalyticsindiamag.com%2Fdevelopers-corner%2Fcomplete-guide-to-understanding-precision-and-recall-curves%2F&psig=AOvVaw3MosZItazJt2eermLTArjj&ust=1722534897757000&source=images&cd=vfe&opi=89978449&ved=0CBEQjRxqFwoTCIi389bs0YcDFQAAAAAdAAAAABAw
Caption: Transfer learning.
Source: Tech Target
Placement: 6.5.4

precisionrecall.png:
URL: https://www.google.com/url?sa=i&url=https%3A%2F%2Fwww.techtarget.com%2Fsearchcio%2Fdefinition%2Ftransfer-learning&psig=AOvVaw0Cbiewbu_6NsNVf314C9Q8&ust=1722534991962000&source=images&cd=vfe&opi=89978449&ved=0CBEQjRxqFwoTCPj5jITt0YcDFQAAAAAdAAAAABAE
Caption: Reading a precision-recall curve.
Source: AIM
Placement: 6.4.7

Chapter 7: No new additions

Chapter 8:
knowledgedistillation.png:
URL:https://chukwubuikexo.medium.com/knowledge-distillation-approaches-in-machine-learning-5841a41a346a
Caption: The tutor-student framework for knowledge distillation
Source: Medium
Placement: 8.4

Chapter 9:
kdistillation.png:
URL: https://www.google.com/url?sa=i&url=https%3A%2F%2Fwww.deepset.ai%2Fblog%2Fknowledge-distillation-with-haystack&psig=AOvVaw1RZjiPK5FwkUtV1rzB_7Qv&ust=1724685648666000&source=images&cd=vfe&opi=89978449&ved=0CBQQjRxqFwoTCMDi5ey4kIgDFQAAAAAdAAAAABAE
Caption: Knowledge Distillation.
Source: Haystack
Placement: 9.2.2