ΩΩ
ΩΩΩ Ψ§Ψ¨Ψ²Ψ§Ψ± ΩΨ§Ϋ ΩΩ
Ψ§ΫΨ΄ Ω
ΨΉΩ
Ψ§Ψ±Ϋ Ψ΄Ψ¨Ϊ©Ω ΩΨ§Ϋ ΨΉΨ΅Ψ¨Ϋ Ω Ω
Ψ―Ω ΩΨ§Ϋ Ψ―ΫΩΎ ΩΨ±ΩΫΩΪ―:
β https://texample.net/tikz/examples/neural-network/
β https://github.com/HarisIqbal88/PlotNeuralNet
β https://github.com/lutzroeder/netron
β https://math.mit.edu/ennui/
β https://tikz.net/neural_networks/
β https://alexlenail.me/NN-SVG/LeNet.html
β https://github.com/martisak/dotnets
β https://github.com/gwding/draw_convnet
β https://github.com/szagoruyko/pytorchviz
β https://github.com/mert-kurttutan/torchview
β https://keras.io/api/utils/model_plotting_utils/
β https://github.com/viscom-ulm/Net2Vis
β https://github.com/mlajtos/moniel
Ψ§Ϊ―Ψ± Ψ§Ψ¨Ψ²Ψ§Ψ±ΩΨ§Ϋ Ψ―ΫΪ―Ω Ψ§Ϋ ΩΩ Ψ¨Ψ±Ψ§Ϋ ΩΩ Ψ§ΫΨ΄ Ω ΨΉΩ Ψ§Ψ±Ϋ Ψ΄Ψ¨Ϊ©Ω ΩΨ§Ϋ ΨΉΨ΅Ψ¨Ϋ Ω ΫΨ΄ΩΨ§Ψ³ΫΨ― ΩΨ·ΩΨ§ Ψ²ΫΨ± ΩΩ ΫΩ ΩΎΨ³Ψͺ Ϊ©Ψ§Ω ΩΨͺ Ϊ©ΩΫΨ―.
#Deep_learning #Neural_Network #DL
#ML #DeepLearning #Data_Analytics #Machine_Learning #DataAnalytics #MachineLearning #DataScience #Data_Science #Model #Algorithm
βββββββββββ
β‘β γβ ββ β²β£
ΚΙͺα΄α΄ α΄α΄α΄α΄α΄Ι΄α΄ sα΄α΄ α΄ sΚα΄Κα΄
βΌββ«βββ βΈ¦πΉπΎπΈπ½ πΈπ½ βΈ§Ν βΌκ―βΜΆ β€
@Technical_coding π»
β https://texample.net/tikz/examples/neural-network/
β https://github.com/HarisIqbal88/PlotNeuralNet
β https://github.com/lutzroeder/netron
β https://math.mit.edu/ennui/
β https://tikz.net/neural_networks/
β https://alexlenail.me/NN-SVG/LeNet.html
β https://github.com/martisak/dotnets
β https://github.com/gwding/draw_convnet
β https://github.com/szagoruyko/pytorchviz
β https://github.com/mert-kurttutan/torchview
β https://keras.io/api/utils/model_plotting_utils/
β https://github.com/viscom-ulm/Net2Vis
β https://github.com/mlajtos/moniel
Ψ§Ϊ―Ψ± Ψ§Ψ¨Ψ²Ψ§Ψ±ΩΨ§Ϋ Ψ―ΫΪ―Ω Ψ§Ϋ ΩΩ Ψ¨Ψ±Ψ§Ϋ ΩΩ Ψ§ΫΨ΄ Ω ΨΉΩ Ψ§Ψ±Ϋ Ψ΄Ψ¨Ϊ©Ω ΩΨ§Ϋ ΨΉΨ΅Ψ¨Ϋ Ω ΫΨ΄ΩΨ§Ψ³ΫΨ― ΩΨ·ΩΨ§ Ψ²ΫΨ± ΩΩ ΫΩ ΩΎΨ³Ψͺ Ϊ©Ψ§Ω ΩΨͺ Ϊ©ΩΫΨ―.
#Deep_learning #Neural_Network #DL
#ML #DeepLearning #Data_Analytics #Machine_Learning #DataAnalytics #MachineLearning #DataScience #Data_Science #Model #Algorithm
βββββββββββ
β‘β γβ ββ β²β£
ΚΙͺα΄α΄ α΄α΄α΄α΄α΄Ι΄α΄ sα΄α΄ α΄ sΚα΄Κα΄
βΌββ«βββ βΈ¦πΉπΎπΈπ½ πΈπ½ βΈ§Ν βΌκ―βΜΆ β€
@Technical_coding π»
π1
6 FREE Books : Data Science using Python
1. Python Data Science Handbook
Publisher: O'Reilly
π HTML: https://jakevdp.github.io/PythonDataScienceHandbook/
π PDF:
https://github.com/terencetachiona/Python-Data-Science-Handbook/blob/master/Python%20Data%20Science%20Handbook%20-%20Jake%20VanderPlas.pdf
2. Python for Data Analysis
Publisher: O'Reilly
π https://wesmckinney.com/book/
3. Data Science Workshop
Publisher: Packt
π https://packtpub.com/free-ebook/the-data-science-workshop-second-edition/9781800566927
4. Elements of Data Science
π https://allendowney.github.io/ElementsOfDataScience/
5. Think Bayes
Publisher: O'Reilly
π https://allendowney.github.io/ThinkBayes2/
6. Think Stats
Publisher: O'Reilly
β― v3 (HTML)
https://allendowney.github.io/ThinkStats/
β― v2 (PDF)
https://greenteapress.com/thinkstats2/thinkstats2.pdf
#ΩΩΨ΄_Ω Ψ΅ΩΩΨΉΫ #ΨΉΩΩ _Ψ―Ψ§Ψ―
#DataScience #Machine_Learning
βββββββββββ
β‘β γβ ββ β²β£
ΚΙͺα΄α΄ α΄α΄α΄α΄α΄Ι΄α΄ sα΄α΄ α΄ sΚα΄Κα΄
βΌββ«βββ βΈ¦πΉπΎπΈπ½ πΈπ½ βΈ§Ν βΌκ―βΜΆ β€
@Technical_coding π»
1. Python Data Science Handbook
Publisher: O'Reilly
π HTML: https://jakevdp.github.io/PythonDataScienceHandbook/
π PDF:
https://github.com/terencetachiona/Python-Data-Science-Handbook/blob/master/Python%20Data%20Science%20Handbook%20-%20Jake%20VanderPlas.pdf
2. Python for Data Analysis
Publisher: O'Reilly
π https://wesmckinney.com/book/
3. Data Science Workshop
Publisher: Packt
π https://packtpub.com/free-ebook/the-data-science-workshop-second-edition/9781800566927
4. Elements of Data Science
π https://allendowney.github.io/ElementsOfDataScience/
5. Think Bayes
Publisher: O'Reilly
π https://allendowney.github.io/ThinkBayes2/
6. Think Stats
Publisher: O'Reilly
β― v3 (HTML)
https://allendowney.github.io/ThinkStats/
β― v2 (PDF)
https://greenteapress.com/thinkstats2/thinkstats2.pdf
#ΩΩΨ΄_Ω Ψ΅ΩΩΨΉΫ #ΨΉΩΩ _Ψ―Ψ§Ψ―
#DataScience #Machine_Learning
βββββββββββ
β‘β γβ ββ β²β£
ΚΙͺα΄α΄ α΄α΄α΄α΄α΄Ι΄α΄ sα΄α΄ α΄ sΚα΄Κα΄
βΌββ«βββ βΈ¦πΉπΎπΈπ½ πΈπ½ βΈ§Ν βΌκ―βΜΆ β€
@Technical_coding π»
Ϋ±Ϋ±Ϋ΅Ϋ° Ψ³ΩΨ§Ω Ω
Ψ΅Ψ§ΨΨ¨ΩβΩΨ§Ϋ Ω
Ψ§Ψ΄ΫΩ ΩΨ±ΩΫΩΪ―
https://mkareshk.github.io/ml-interview
#ΫΨ§Ψ―Ϊ―ΫΨ±Ϋ_Ω Ψ§Ψ΄ΫΩ #ΫΨ§Ψ―Ϊ―ΫΨ±Ϋ_ΨΉΩ ΫΩ #Ω Ψ΅Ψ§ΨΨ¨Ω
#Machine_Learning #interview #ML
βββββββββββ
β‘β γβ ββ β²β£
ΚΙͺα΄α΄ α΄α΄α΄α΄α΄Ι΄α΄ sα΄α΄ α΄ sΚα΄Κα΄
βΌββ«βββ βΈ¦πΉπΎπΈπ½ πΈπ½ βΈ§Ν βΌκ―βΜΆ β€
@Technical_coding π»
https://mkareshk.github.io/ml-interview
#ΫΨ§Ψ―Ϊ―ΫΨ±Ϋ_Ω Ψ§Ψ΄ΫΩ #ΫΨ§Ψ―Ϊ―ΫΨ±Ϋ_ΨΉΩ ΫΩ #Ω Ψ΅Ψ§ΨΨ¨Ω
#Machine_Learning #interview #ML
βββββββββββ
β‘β γβ ββ β²β£
ΚΙͺα΄α΄ α΄α΄α΄α΄α΄Ι΄α΄ sα΄α΄ α΄ sΚα΄Κα΄
βΌββ«βββ βΈ¦πΉπΎπΈπ½ πΈπ½ βΈ§Ν βΌκ―βΜΆ β€
@Technical_coding π»
MIT's "Machine Learning" lecture notes
PDF: https://introml.mit.edu/_static/spring24/LectureNotes/6_390_lecture_notes_spring24.pdf
#ΫΨ§Ψ―Ϊ―ΫΨ±Ϋ_Ω Ψ§Ψ΄ΫΩ #Machine_Learning
βββββββββββ
β‘β γβ ββ β²β£
ΚΙͺα΄α΄ α΄α΄α΄α΄α΄Ι΄α΄ sα΄α΄ α΄ sΚα΄Κα΄
βΌββ«βββ βΈ¦πΉπΎπΈπ½ πΈπ½ βΈ§Ν βΌκ―βΜΆ β€
@Technical_coding π»
PDF: https://introml.mit.edu/_static/spring24/LectureNotes/6_390_lecture_notes_spring24.pdf
#ΫΨ§Ψ―Ϊ―ΫΨ±Ϋ_Ω Ψ§Ψ΄ΫΩ #Machine_Learning
βββββββββββ
β‘β γβ ββ β²β£
ΚΙͺα΄α΄ α΄α΄α΄α΄α΄Ι΄α΄ sα΄α΄ α΄ sΚα΄Κα΄
βΌββ«βββ βΈ¦πΉπΎπΈπ½ πΈπ½ βΈ§Ν βΌκ―βΜΆ β€
@Technical_coding π»