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deep learning
Neeraj Dana
02.Jul.2020
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Statistics | Population, and sample | Machine Learning Prerequisite
Statisticsin very simple words . the process of Gathering describing and analysing the data is known as statistics PopulationPopulation is basically the collection of any item (humans ,students ,males ,females ,animals,plants ..etc) in a boundry or limits for example Populations of humans in India = All (total numbers of ) humans in
Neeraj Dana
19.Jun.2020
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Machine Learning Prerequisite | Python Basics: Variables and Datatypes
Prerequisit Google Colab SetupThe Colab Notebook for this article can be found here Variables and datatypes Someof this Might seems very basic to you but it may help someone so please free to skip when required In the last article we had setup our colab notebook . This is the very
Neeraj Dana
18.Jun.2020
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Machine Learning From scratch | Part 4. Setup Google Colaboratory
Ok so in this article we will see how you can quicky setup your dev env to gett your hands dirty with some coding Requirment to start machine learning is just a web browser with a google account with good internet speed thats it yes We will be using Google
Neeraj Dana
17.Jun.2020
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Machine Learning From scratch | Part 3. Matrices and matrices Dot Product
Prerequisit : Vector Dot ProductsMatrices are grid of numbers or arrangment of numbers . In programming it can be an array of array a real example can be marks of students (A,B,C) in subjects (S1,S2,S3) can be shown as Student A have scored 20 in S1 , 25 in
Neeraj Dana
17.Jun.2020
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Machine Learning From scratch | Part 2. Vector Dot Product
Prerequisit : https://blog.smartcodehub.com/machine-learning-from-scratch/Please watch the video of Scalar and vector Vector Additionvectror addition is component wise a = (1,2,3) and b =(4,-5,6) a+b = (4,-3,9)Vector Scalling a = (1,2,3) 2a = (2,4,6) 3a = (3,6,9) (1/2)
Neeraj Dana
17.Jun.2020
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Machine Learning From scratch | Part 1. Scaler, And Vector
Hello Every One Lets start with the very basic prerequisit of machine learning I wont be taelling you the why and what of machine learning rather lets see some simple maths which can be usefull in our journey of ml Scaler And VectorTwo Statments I have Travelled 50Km I have
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