Exploratory Data Analysis with Python
Exploratory Data Analysis with Python $100.00
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AZ-500 Microsoft Azure Security Technologies
AZ-500 Microsoft Azure Security Technologies $100.00

Artificial Intelligence for Business

$100.00

Practice how to automate workflows, analyze data, and provide valuable insights using AI for increased productiveness.

  • Free pre-assessment and first 2 lessons
  • 22+ Interactive Lessons | 57+ Exercises
  • Accessible on mobile and tablet too
  • Certificate of completion
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Description

About This Course

Our Artificial Intelligence (AI) for Business course offers an in-depth exploration of AI and its practical applications in modern enterprises. You’ll develop an understanding of machine learning (ML), neural networks, and natural language processing (NLP). Key topics include understanding different AI approaches (supervised, unsupervised, and reinforcement learning), building and implementing ML algorithms (decision trees, k-nearest neighbors, regression analysis), and applying AI to real-world challenges such as data analysis, customer service automation, and predictive analytics.

Skills You’ll Get

  • Understand and implement various ML algorithms 
  • Prepare data for analysis, including cleaning, normalization, and feature engineering 
  • Assess the performance of ML models using appropriate metrics
  • Optimize model parameters to improve accuracy and efficiency
  • Design different types of neural network architectures 
  • Apply backpropagation to train neural networks 
  • Use activation functions like ReLU, sigmoid, and tanh to introduce non-linearity 
  • Employ best practices to avoid overfitting, such as dropout and L1/L2 regularization 
  • Create numerical representations of text data using bag-of-words and TF-IDF 
  • Identify positive, negative, and neutral sentiments expressed in the text 
  • Extract entities like names, organizations, and locations from raw data 
  • Apply statistical methods and discover patterns and trends in large datasets 
  • Develop programming skills in Python and libraries like TensorFlow, PyTorch, Scikit-learn, and NLTK