#SwiftLearn

[sethiswiftlearn]

Class 11 Math | TRIGNOMETRIC FUNCTIONS (2) | JEE Main PYQs | JEE, CUET, BITSAT, WBJEE Prep

I'm revisiting key concepts from Class 11 Maths, particularly Trigonometric Functions, and analyzing how they appear in previous year questions (PYQs) of JEE Main, CUET, BITSAT, and WBJEE.

I recently worked through a few such questions that mix identities, transformations, and application-based logic. It’s interesting how even basic formulas get tested in tricky ways.

Here's a session I followed that walks through a few of these problems and the reasoning behind solving them: 🔗 https://youtu.be/yArGp-1VThU?si=0neZINy4FXHxqUr3

[educarty121-blog]

Hello World! Build Your First App in Swift.  Hello World is a program for the first-time programmer to create. It's a very simple program that outputs "Hello, World" on the screen of a device. It's a tradition in the programming world.

For more information :http://educarty.in/swift-programming/hello-world

[nisbieee]

Machine Learning beyond Python and R !

Author : Chawat

Machine Learning , AI and Big Data are the top technologies today evolving with a rapid pace and almost all of these are implemented in Python or R.

Python is the most popular choice because of it’s simple syntax and large number of Libraries but Python isn’t the best choice because it is dynamically typed which slows it down.

So , what are the other languages available ?

1. Golang

Go was created at Google in 2009. Go is known for it’s Fast-Compilation , Multi Core functionality , Concurrency , C like syntax and Strong typing .

A number of Libraries are available :

These are some of the most popular libraries for general ML and Neural Nets:

     golearn  – https://github.com/sjwhitworth/golearn

     gago        – https://github.com/MaxHalford/gago

     GoNN      – https://github.com/fxsjy/gonn

Popular libraries for Natural Language Processing and Decision Forests:

     Word Embedding – https://github.com/ynqa/word-embedding

     CloudForest  – https://github.com/ryanbressler/CloudForest

     RF  – https://github.com/fxsjy/RF.go

Libraries for Image Processing and Data Visualisation:

     bimg            – https://github.com/h2non/bimg

     go-graph  – https://github.com/StepLg/go-graph

2. Scala

Libraries for general ML and Decision Trees:

   Conjecture         – https://github.com/etsy/Conjecture

   SwiftLearner  – https://github.com/valdanylchuk/swiftlearner/

   ganitha                – https://github.com/tresata/ganitha

   brushfire            – https://github.com/stripe/brushfire

Popular libraries for Data Visualisation:

   MLlib in Apache Spark  – http://spark.apache.org/docs/latest/mllib-guide.html

    Hydrosphere Mist  – https://github.com/Hydrospheredata/mist

    PredictionIO              – https://github.com/apache/incubator-predictionio

    Flink                                –  http://flink.apache.org/

    Spark Notebook     –  http://spark-notebook.io/

Natural Language Processing:

    Breeze          – https://github.com/scalanlp/breeze

    FACTORIE  –  https://github.com/factorie/factorie

    Chalk             – https://github.com/scalanlp/chalk

Just two ?

No , the above two are my favourite choice. There are other languages like Julia , Lua , Java & C++ which have some great ML libraries. So , you might check them as well.

My views on Python

Python is a very powerful language with a lot of libraries and it’s simple syntax. It is thus  very Addictive but it is that simple and easy syntax of the language that makes it slow (dynamic typing).

It’s time to move onto newer technologies.

Disclaimer: I don’t mean to hurt anyone , I have just conveyed my views here.