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ChatGPT Cheat Sheet for Business (2025).pdf
8 MB
ChatGPT Cheat Sheet for Business - DataCamp
Unlock the full potential of AI with our comprehensive ChatGPT Cheat Sheet for Business! Tailored specifically for professionals and entrepreneurs, this guide offers actionable insights on leveraging ChatGPT to streamline workflows, enhance customer interactions, and drive business growth. Whether you're a marketing specialist, project manager, or CEO, this cheat sheet is your go-to resource for mastering conversational AI.
From crafting compelling content to automating routine tasks, learn how to harness the power of ChatGPT in real-world business scenarios. With clear examples and step-by-step instructions, youβll be able to integrate ChatGPT seamlessly into your operations, improving efficiency and innovation.
Donβt miss out on staying ahead of the competition by embracing the future of AI-driven solutions!
#ChatGPT #AIforBusiness #DataCamp #CheatSheet #ConversationalAI #BusinessGrowth #Automation #CustomerEngagement #ContentCreation #EfficiencyBoost #Innovation #FutureOfWork #TechTrends #AIInnovation #DigitalTransformation #BusinessSuccess
https://t.me/CodeProgrammerβοΈ
Unlock the full potential of AI with our comprehensive ChatGPT Cheat Sheet for Business! Tailored specifically for professionals and entrepreneurs, this guide offers actionable insights on leveraging ChatGPT to streamline workflows, enhance customer interactions, and drive business growth. Whether you're a marketing specialist, project manager, or CEO, this cheat sheet is your go-to resource for mastering conversational AI.
From crafting compelling content to automating routine tasks, learn how to harness the power of ChatGPT in real-world business scenarios. With clear examples and step-by-step instructions, youβll be able to integrate ChatGPT seamlessly into your operations, improving efficiency and innovation.
Donβt miss out on staying ahead of the competition by embracing the future of AI-driven solutions!
#ChatGPT #AIforBusiness #DataCamp #CheatSheet #ConversationalAI #BusinessGrowth #Automation #CustomerEngagement #ContentCreation #EfficiencyBoost #Innovation #FutureOfWork #TechTrends #AIInnovation #DigitalTransformation #BusinessSuccess
https://t.me/CodeProgrammer
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π©π»βπ» I found a GitHub repo full of resources you need to succeed in Data Science and Machine Learning interviews!
#DataScience #MachineLearning #InterviewPrep #CareerGrowth #TechResources #GitHubRepo #CheatSheets #PortfolioProjects #InterviewQuestions #DataScientists #SuccessTips #TechCareer #CodingLife #LearnAndGrow #InterviewReady
https://t.me/CodeProgrammer
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π©π»βπ» Guys , GenAI Community has created a free Python training course where you will learn both Python and its application in generative artificial intelligence!
Here are some suitable hashtags for the description in English, in a single line:
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https://t.me/CodeProgrammer
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Linear Algebra for Data Science.pdf
611.5 KB
π Master Linear Algebra for Data Science with Gilbert Strangβs Essential Guide!
Discover "Linear Algebra for Data Science" β an 80-page powerhouse booklet by MITβs legendary professor Gilbert Strang. Crafted during the Corona era as part of his ZoomNotes series, this concise resource distills practical linear algebra concepts into clear, actionable insights.
π Whatβs Inside?
- Core topics: Matrix Factorizations, Eigenvalues, Vector Spaces, and more!
- Data Science connections: Learn how linear algebra powers ML, statistics, and optimization.
- Perfectly complements Strangβs MIT video lectures for a seamless learning experience.
π‘ Why Choose This Booklet?
- MIT-approved clarity: Strangβs teaching brilliance shines in every page.
- Compact & focused: Skip the fluff β dive straight into key concepts.
- Timeless resource: Ideal for students, professionals, and lifelong learners.
π Grab your copy and unlock the math behind data-driven innovation!
#LinearAlgebra #DataScience #MachineLearning #MachineLearningIT #GilbertStrang #MathForAI #STEMEducation #MatrixMath #Eigenvalues #VectorSpaces #LearnMath #OnlineLearning #MathResources #DataAnalytics #ZoomNotes
Boost your skills with Strangβs genius β where theory meets real-world application!π
https://t.me/CodeProgrammerβοΈ
Discover "Linear Algebra for Data Science" β an 80-page powerhouse booklet by MITβs legendary professor Gilbert Strang. Crafted during the Corona era as part of his ZoomNotes series, this concise resource distills practical linear algebra concepts into clear, actionable insights.
π Whatβs Inside?
- Core topics: Matrix Factorizations, Eigenvalues, Vector Spaces, and more!
- Data Science connections: Learn how linear algebra powers ML, statistics, and optimization.
- Perfectly complements Strangβs MIT video lectures for a seamless learning experience.
π‘ Why Choose This Booklet?
- MIT-approved clarity: Strangβs teaching brilliance shines in every page.
- Compact & focused: Skip the fluff β dive straight into key concepts.
- Timeless resource: Ideal for students, professionals, and lifelong learners.
π Grab your copy and unlock the math behind data-driven innovation!
#LinearAlgebra #DataScience #MachineLearning #MachineLearningIT #GilbertStrang #MathForAI #STEMEducation #MatrixMath #Eigenvalues #VectorSpaces #LearnMath #OnlineLearning #MathResources #DataAnalytics #ZoomNotes
Boost your skills with Strangβs genius β where theory meets real-world application!
https://t.me/CodeProgrammer
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80 Python Interview Questions.pdf
410.4 KB
- Covers frequently asked questions in Python interviews
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https://t.me/CodeProgrammer
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Applied Machine Learning in Python: a Hands-on Guide with Code π§
π Exciting news! free, online e-book has been updated with fresh theory π , detailed illustrations π¨ , well-documented demos π , links to YouTube lectures π₯, and interactive dashboards π !
Each chapter is downloadableπ₯ , making it easy for you to dive in, learn, and complete your #DataScience projects efficiently! π§βπ»
Explore it now: https://geostatsguy.github.io/MachineLearningDemos_Book/intro.html
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https://t.me/CodeProgrammer
Each chapter is downloadable
Explore it now: https://geostatsguy.github.io/MachineLearningDemos_Book/intro.html
#DeepLearning #Python #MachineLearning #AI #DataAnalytics #TechEducation #FreeLearning #Ebook #DataVisualization #Coding #STEM #TechCommunity #LearnToCode
https://t.me/CodeProgrammer
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π Dive into the world of Transformers and Self-Attention with one of YouTube's best-kept secrets! π§ β¨ Nobody breaks down complex AI concepts like Professor Bryce β his passion for teaching and dedication to clarity make every lesson unforgettable. π‘π
Whether you're an AI enthusiast, a machine learning student, or just curious about cutting-edge tech, this video is a *must-watch*. Get ready to level up your understanding of how Transformers work in the most engaging way possible! π
π Watch here: YouTube Video
#AI #MachineLearning #DeepLearning #Transformers #SelfAttention #ArtificialIntelligence #TechEducation #LearnAI
https://t.me/CodeProgrammer
Whether you're an AI enthusiast, a machine learning student, or just curious about cutting-edge tech, this video is a *must-watch*. Get ready to level up your understanding of how Transformers work in the most engaging way possible! π
π Watch here: YouTube Video
#AI #MachineLearning #DeepLearning #Transformers #SelfAttention #ArtificialIntelligence #TechEducation #LearnAI
https://t.me/CodeProgrammer
Free Certification Courses to Learn Data Analytics in 2025:
1. Python
π https://imp.i384100.net/5gmXXo
2. SQL
π https://edx.org/learn/relational-databases/stanford-university-databases-relational-databases-and-sql
3. Statistics and R
π https://edx.org/learn/r-programming/harvard-university-statistics-and-r
4. Data Science: R Basics
πhttps://edx.org/learn/r-programming/harvard-university-data-science-r-basics
5. Excel and PowerBI
π https://learn.microsoft.com/en-gb/training/paths/modern-analytics/
6. Data Science: Visualization
πhttps://edx.org/learn/data-visualization/harvard-university-data-science-visualization
7. Data Science: Machine Learning
πhttps://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning
8. R
πhttps://imp.i384100.net/rQqomy
9. Tableau
πhttps://imp.i384100.net/MmW9b3
10. PowerBI
π https://lnkd.in/dpmnthEA
11. Data Science: Productivity Tools
π https://lnkd.in/dGhPYg6N
12. Data Science: Probability
πhttps://mygreatlearning.com/academy/learn-for-free/courses/probability-for-data-science
13. Mathematics
πhttp://matlabacademy.mathworks.com
14. Statistics
π https://lnkd.in/df6qksMB
15. Data Visualization
πhttps://imp.i384100.net/k0X6vx
16. Machine Learning
π https://imp.i384100.net/nLbkN9
17. Deep Learning
π https://imp.i384100.net/R5aPOR
18. Data Science: Linear Regression
πhttps://pll.harvard.edu/course/data-science-linear-regression/2023-10
19. Data Science: Wrangling
πhttps://edx.org/learn/data-science/harvard-university-data-science-wrangling
20. Linear Algebra
π https://pll.harvard.edu/course/data-analysis-life-sciences-2-introduction-linear-models-and-matrix-algebra
21. Probability
π https://pll.harvard.edu/course/data-science-probability
22. Introduction to Linear Models and Matrix Algebra
πhttps://edx.org/learn/linear-algebra/harvard-university-introduction-to-linear-models-and-matrix-algebra
23. Data Science: Capstone
π https://edx.org/learn/data-science/harvard-university-data-science-capstone
24. Data Analysis
π https://pll.harvard.edu/course/data-analysis-life-sciences-4-high-dimensional-data-analysis
25. IBM Data Science Professional Certificate
https://imp.i384100.net/9gxbbY
26. Neural Networks and Deep Learning
https://imp.i384100.net/DKrLn2
27. Supervised Machine Learning: Regression and Classification
https://imp.i384100.net/g1KJEA
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #SupervisedLearning #IBMDataScience #FreeCourses #Certification #LearnDataScience
https://t.me/CodeProgrammerβοΈ
1. Python
π https://imp.i384100.net/5gmXXo
2. SQL
π https://edx.org/learn/relational-databases/stanford-university-databases-relational-databases-and-sql
3. Statistics and R
π https://edx.org/learn/r-programming/harvard-university-statistics-and-r
4. Data Science: R Basics
πhttps://edx.org/learn/r-programming/harvard-university-data-science-r-basics
5. Excel and PowerBI
π https://learn.microsoft.com/en-gb/training/paths/modern-analytics/
6. Data Science: Visualization
πhttps://edx.org/learn/data-visualization/harvard-university-data-science-visualization
7. Data Science: Machine Learning
πhttps://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning
8. R
πhttps://imp.i384100.net/rQqomy
9. Tableau
πhttps://imp.i384100.net/MmW9b3
10. PowerBI
π https://lnkd.in/dpmnthEA
11. Data Science: Productivity Tools
π https://lnkd.in/dGhPYg6N
12. Data Science: Probability
πhttps://mygreatlearning.com/academy/learn-for-free/courses/probability-for-data-science
13. Mathematics
πhttp://matlabacademy.mathworks.com
14. Statistics
π https://lnkd.in/df6qksMB
15. Data Visualization
πhttps://imp.i384100.net/k0X6vx
16. Machine Learning
π https://imp.i384100.net/nLbkN9
17. Deep Learning
π https://imp.i384100.net/R5aPOR
18. Data Science: Linear Regression
πhttps://pll.harvard.edu/course/data-science-linear-regression/2023-10
19. Data Science: Wrangling
πhttps://edx.org/learn/data-science/harvard-university-data-science-wrangling
20. Linear Algebra
π https://pll.harvard.edu/course/data-analysis-life-sciences-2-introduction-linear-models-and-matrix-algebra
21. Probability
π https://pll.harvard.edu/course/data-science-probability
22. Introduction to Linear Models and Matrix Algebra
πhttps://edx.org/learn/linear-algebra/harvard-university-introduction-to-linear-models-and-matrix-algebra
23. Data Science: Capstone
π https://edx.org/learn/data-science/harvard-university-data-science-capstone
24. Data Analysis
π https://pll.harvard.edu/course/data-analysis-life-sciences-4-high-dimensional-data-analysis
25. IBM Data Science Professional Certificate
https://imp.i384100.net/9gxbbY
26. Neural Networks and Deep Learning
https://imp.i384100.net/DKrLn2
27. Supervised Machine Learning: Regression and Classification
https://imp.i384100.net/g1KJEA
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #SupervisedLearning #IBMDataScience #FreeCourses #Certification #LearnDataScience
https://t.me/CodeProgrammer
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What is the biggest obstacle to your success in your academic and scientific career?
Anonymous Poll
40%
Poverty and lack of money
25%
Poor quality of education
46%
Laziness and procrastination
14%
Social, political and security problems
12%
Excessive desire (lust)
27%
Inability to concentrate
15%
Emotional problems
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Python, Bash and SQL Essentials for Data Engineering Specialization
What you'll learn
Develop #dataengineering solutions with a minimal and essential subset of the Python language and the Linux environment
Design scripts to connect and query a #SQL #database using #Python
Use a #scraping library in Python to read, identify and extract data from websites
Enroll Free: https://www.coursera.org/specializations/python-bash-sql-data-engineering-duke
https://t.me/CodeProgrammer
What you'll learn
Develop #dataengineering solutions with a minimal and essential subset of the Python language and the Linux environment
Design scripts to connect and query a #SQL #database using #Python
Use a #scraping library in Python to read, identify and extract data from websites
Enroll Free: https://www.coursera.org/specializations/python-bash-sql-data-engineering-duke
https://t.me/CodeProgrammer