Use of Coding in Machine Learning and AI

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PROGRAMMING LANGUAGES

• EMPOWERING MACHINE LEARNING AND AI

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Programming, AI and Machine Learning

• Programming refers to the process of writing
  instructions or code that can be executed by a
  computer to perform specific tasks. It involves
  using a programming language to communicate with
  the computer and provide it with step-by-step
  instructions to carry out desired operations.
  Learning Programming from top coding courses in
  Delhi has become easy. This presentation explores
  the role of programming in AI and Machine
  Learning and popular languages used in the field.

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What is Programming?

• It involves using a programming language to
  communicate with the computer and provide
  step-by-step instructions

• Programming is the process of writing
  instructions or code that can be executed by a
  computer to perform specific tasks

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Role of Programming in AI and ML

• It is used for Algorithm Implementation, Data
  Preprocessing, Model Development, Training and
  Optimization, Evaluation and Testing, Deployment
  and Integration, Maintenance, and Updates

• Programming serves as the foundation for
  developing, implementing, and deploying
  intelligent systems in AI and ML

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Popular Languages for ML and AI

• The choice of programming language depends on
  factors like the specific task, available
  libraries and frameworks, community support, and
  personal preference

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Python

• It offers simplicity, readability, and a vast
  ecosystem of libraries and frameworks, such as
  TensorFlow, PyTorch, scikit-learn, and Keras

• Python is the most widely used programming
  language in the ML and AI communities

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R

• It has a rich set of libraries for ML and AI,
  such as caret, mlr, and randomForest

• R is another popular language, particularly in
  statistical analysis and data science

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Java

• While it may not be as commonly used as Python or
  R in ML and AI, it has libraries like
  Deeplearning4j and Weka that facilitate ML tasks

• Java is a general-purpose language with robust
  support for building large-scale applications

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C

• C is a highperformance language often used in
  ML and AI when efficiency is crucial, such as in
  computer vision or robotics
• Libraries like TensorFlow and OpenCV provide C
  interfaces, allowing developers to leverage the
  power of C in performancecritical areas

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Julia

• It is gaining popularity in the ML and AI
  community due to its high-level syntax, speed,
  and excellent support for numerical computing

• Julia is a relatively new language that combines
  the ease of use of Python with the performance of
  languages like C

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Scala

• It has gained traction in ML and AI through
  libraries like Apache Spark, which provides
  distributed computing capabilities

• Scala is a language that runs on the Java Virtual
  Machine (JVM) and integrates well with Java

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Conclusion

• Python, R, Java, C, Julia, and Scala are
  popular programming languages for ML and AI, each
  with their strengths and areas of expertise

• Programming plays a crucial role in AI and ML,
  providing the foundation for developing and
  implementing intelligent systems

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ARTIFICIAL INTELLIGENCE
AND
MACHINE LEARNING
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