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Software Developer (AI/ML)

A Software Developer specializing in AI/ML (Artificial Intelligence/Machine Learning) is a professional who designs, develops, and implements software applications that incorporate AI and ML technologies. They combine their programming skills with an understanding of AI and ML algorithms to create intelligent systems that can learn, adapt, and make data-driven decisions.

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More About Software Developer (Ai/Ml) Path

A Software Developer specializing in AI/ML (Artificial Intelligence/Machine Learning) is a professional who designs, develops, and implements software applications that incorporate AI and ML technologies. They combine their programming skills with an understanding of AI and ML algorithms to create intelligent systems that can learn, adapt, and make data-driven decisions.

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Begin your learning experience and become a software developer (ai/ml) with certificate courses curated to land your dream job.

Skills Covered in this Path

  • Programming Concepts
  • Python Basics
  • Variables and Data types in Python
  • Operators and Strings in Python
  • Python Data Structures
  • Control Flow Statements and Functions
  • OOPs
  • NumPy
  • Pandas
  • Probability
  • Statistics
  • Normal Distribution
  • Sampling Distribution
  • Hypothesis
  • Central Limit Theorem
  • Advanced Statistics
  • Hypothesis testing
  • Type-I and Type-II error
  • Python
  • Statistics
  • Reinforcement learning
  • Machine learning
  • Forecasting using Python
  • Exponential Smoothing
  • ARIMA
  • Time Series in R
  • Introduction to Machine Learning
  • Understanding the ML Pipeline
  • Data Preparation
  • Formatting Data
  • Data Transformation
  • Building ML models
  • Analyzing ML models
  • Types of Linear Regression
  • Regression analysis
  • Missing Value Detection
  • Data handling and prediction
  • Scikit Learn Library
  • Logistic Regression
  • Naïve Bayes
  • Entropy
  • Heterogeneity
  • Shannon's Entropy
  • Preventing Overfitting
  • Random Forest
  • Random Forest Regression
  • Hands-on
  • Logistic Regression vs Random Forest
  • Linear Regression vs Random Forest
  • Unsupervised Learning
  • Clustering
  • k-means Clustering
  • Introduction to Hierarchical Clustering
  • Agglomerative Hierarchical Clustering
  • Euclidean Distance
  • Manhattan Distance
  • Minkowski Distance
  • Jaccard Index
  • Cosine Similarity
  • Optimal Number of Clusters

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Industry relevant skills
Upskill yourself with 1000+ courses across different domains and earn a certificate.
Stand out to recruiters
Earn certificates for each course you complete and share it online to get noticed by recruiters.

Earn a certificate

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