Exercises in Machine Learning
This book contains 75+ exercises
Download, read, and practice:
arxiv.org/pdf/2206.13446
GitHub Repo: https://github.com/michaelgutmann/ml-pen-and-paper-exercises
This book contains 75+ exercises
Download, read, and practice:
arxiv.org/pdf/2206.13446
GitHub Repo: https://github.com/michaelgutmann/ml-pen-and-paper-exercises
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https://t.me/CodeProgrammer ✅
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Linear Algebra
The 2nd best book on linear algebra with ~1000 practice problems. A MUST for AI & Machine Learning.
Completely FREE.
Download it: https://www.cs.ox.ac.uk/files/12921/book.pdf
The 2nd best book on linear algebra with ~1000 practice problems. A MUST for AI & Machine Learning.
Completely FREE.
Download it: https://www.cs.ox.ac.uk/files/12921/book.pdf
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras
https://t.me/CodeProgrammer✅
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Forwarded from Data Science Machine Learning Data Analysis
#MachineLearning Systems — Principles and Practices of Engineering Artificially Intelligent Systems: https://mlsysbook.ai/
open-source textbook focuses on how to design and implement AI systems effectively
open-source textbook focuses on how to design and implement AI systems effectively
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https://t.me/DataScienceM✅
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Introduction to Machine Learning Class Notes by Huy Nguyen
https://www.cs.cmu.edu/~hn1/documents/machine-learning/notes.pdf
https://www.cs.cmu.edu/~hn1/documents/machine-learning/notes.pdf
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https://t.me/CodeProgrammer✅
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This book is for readers looking to learn new #machinelearning algorithms or understand algorithms at a deeper level. Specifically, it is intended for readers interested in seeing machine learning algorithms derived from start to finish. Seeing these derivations might help a reader previously unfamiliar with common algorithms understand how they work intuitively. Or, seeing these derivations might help a reader experienced in modeling understand how different #algorithms create the models they do and the advantages and disadvantages of each one.
This book will be most helpful for those with practice in basic modeling. It does not review best practices—such as feature engineering or balancing response variables—or discuss in depth when certain models are more appropriate than others. Instead, it focuses on the elements of those models.
https://dafriedman97.github.io/mlbook/content/introduction.html
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Stanford’s Machine Learning - by Andrew Ng
A complete lecture notes of 227 pages. Available Free.
Download the notes:
cs229.stanford.edu/main_notes.pdf
A complete lecture notes of 227 pages. Available Free.
Download the notes:
cs229.stanford.edu/main_notes.pdf
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras
https://t.me/CodeProgrammer✅
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"Machine Learning & LLMs for Beginners"
Don't miss these 2 books of 100-pages. Both are #FREE to read.
🌟 The Hundred-Page Machine Learning Book:
themlbook.com/wiki/doku.php
🌟 The Hundred-Page Language Model Book:
thelmbook.com
Don't miss these 2 books of 100-pages. Both are #FREE to read.
themlbook.com/wiki/doku.php
thelmbook.com
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https://t.me/CodeProgrammer🌟
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Stanford's "Design and Analysis of Algorithms" Winter 2025
Lecture Notes & Slides: https://stanford-cs161.github.io/winter2025/lectures/
Lecture Notes & Slides: https://stanford-cs161.github.io/winter2025/lectures/
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https://t.me/CodeProgrammer✅
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"Introduction to Probability for Data Science"
One of the best books on #Probability. Available FREE.
Download the book:
probability4datascience.com/download.html
One of the best books on #Probability. Available FREE.
Download the book:
probability4datascience.com/download.html
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras
https://t.me/CodeProgrammer✅
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@codeprogrammer machine learning notes.pdf
21 MB
Best Machine Learning Notes
Join to our WhatsApp📱 channel:
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Forwarded from Python Data Science Jobs & Interviews
1. What is the output of the following code?
2. Which of the following data types is immutable in Python?
A) List
B) Dictionary
C) Set
D) Tuple
3. Write a Python program to reverse a string without using built-in functions.
4. What will be printed by this code?
5. Explain the difference between
6. How do you handle exceptions in Python? Provide an example.
7. What is the output of:
8. Which keyword is used to define a function in Python?
A) def
B) function
C) func
D) define
9. Write a program to find the factorial of a number using recursion.
10. What does the
11. What will be the output of:
12. Explain the concept of list comprehension with an example.
13. What is the purpose of the
14. Write a program to check if a given string is a palindrome.
15. What is the output of:
16. Describe how Python manages memory (garbage collection).
17. What will be printed by:
18. Write a Python program to generate the first n Fibonacci numbers.
19. What is the difference between
20. What is the use of the
#PythonQuiz #CodingTest #ProgrammingExam #MultipleChoice #CodeOutput #PythonBasics #InterviewPrep #CodingChallenge #BeginnerPython #TechAssessment #PythonQuestions #SkillCheck #ProgrammingSkills #CodePractice #PythonLearning #MCQ #ShortAnswer #TechnicalTest #PythonSyntax #Algorithm #DataStructures #PythonProgramming
By: @DataScienceQ 🚀
x = [1, 2, 3]
y = x
y.append(4)
print(x)
2. Which of the following data types is immutable in Python?
A) List
B) Dictionary
C) Set
D) Tuple
3. Write a Python program to reverse a string without using built-in functions.
4. What will be printed by this code?
def func(a, b=[]):
b.append(a)
return b
print(func(1))
print(func(2))
5. Explain the difference between
==
and is
operators in Python.6. How do you handle exceptions in Python? Provide an example.
7. What is the output of:
print(2 ** 3 ** 2)
8. Which keyword is used to define a function in Python?
A) def
B) function
C) func
D) define
9. Write a program to find the factorial of a number using recursion.
10. What does the
*args
parameter do in a function?11. What will be the output of:
list1 = [1, 2, 3]
list2 = list1.copy()
list2[0] = 10
print(list1)
12. Explain the concept of list comprehension with an example.
13. What is the purpose of the
__init__
method in a Python class?14. Write a program to check if a given string is a palindrome.
15. What is the output of:
a = [1, 2, 3]
b = a[:]
b[0] = 10
print(a)
16. Describe how Python manages memory (garbage collection).
17. What will be printed by:
x = "hello"
y = "world"
print(x + y)
18. Write a Python program to generate the first n Fibonacci numbers.
19. What is the difference between
range()
and xrange()
in Python 2?20. What is the use of the
lambda
function in Python? Give an example. #PythonQuiz #CodingTest #ProgrammingExam #MultipleChoice #CodeOutput #PythonBasics #InterviewPrep #CodingChallenge #BeginnerPython #TechAssessment #PythonQuestions #SkillCheck #ProgrammingSkills #CodePractice #PythonLearning #MCQ #ShortAnswer #TechnicalTest #PythonSyntax #Algorithm #DataStructures #PythonProgramming
By: @DataScienceQ 🚀
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