Cursos de Machine Learning Concepts for Entrepreneurs and Managers

Código do Curso

mlentre

Duração

21 horas (usualmente 3 dias incluindo pausas)

Requisitos

  1. Should have basic knowledge of business operation, and technical knowledge as well
  2. Must have basic understanding of software and systems
  3. Basic understanding of Statistics (in Excel levels)

Visão geral

Este curso de treinamento é para pessoas que gostariam de aplicar Machine Learning em aplicações práticas para sua equipe. O treinamento não vai mergulhar em tecnicidades e girar em torno de conceitos básicos e aplicações comerciais / operacionais do mesmo.

Público-alvo

  1. Investidores e empresários de IA
  2. Gerentes e Engenheiros cuja empresa está se aventurando no espaço da IA
  3. Analistas de Business e Investidores

Machine Translated

Programa do Curso

Introduction to Neural Networks

Introduction to Applied Machine Learning

  • Statistical learning vs. Machine learning
  • Iteration and evaluation
  • Bias-Variance trade-off

Machine Learning with Python

  • Choice of libraries
  • Add-on tools

Machine learning Concepts and Applications

Regression

  • Linear regression
  • Generalizations and Nonlinearity
  • Use cases

Classification

  • Bayesian refresher
  • Naive Bayes
  • Logistic regression
  • K-Nearest neighbors
  • Use Cases

Cross-validation and Resampling

  • Cross-validation approaches
  • Bootstrap
  • Use Cases

Unsupervised Learning

  • K-means clustering
  • Examples
  • Challenges of unsupervised learning and beyond K-means

Short Introduction to NLP methods

  • word and sentence tokenization
  • text classification
  • sentiment analysis
  • spelling correction
  • information extraction
  • parsing
  • meaning extraction
  • question answering

Artificial Intelligence & Deep Learning

Technical Overview

  • R v/s Python
  • Caffe v/s Tensor Flow
  • Various Machine Learning Libraries

Industry Case Studies

Declaração de Clientes

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