Executive Development Programme in Data Analysis: Gradient Descent
-- ViewingNowThe Executive Development Programme in Data Analysis, focusing on Gradient Descent, is a vital certificate course designed to empower professionals with in-demand data analysis skills. This programme emphasizes the optimization technique, Gradient Descent, which is essential for minimizing loss functions in machine learning models.
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Dรฉtails du cours
โข Unit 1: Introduction to Data Analysis – Understanding the basics of data analysis, its importance, and the role of data analysis in business decision making.
โข Unit 2: Introduction to Gradient Descent – Understanding the concept of gradient descent, its importance, and how it is used in data analysis.
โข Unit 3: Mathematical Foundations of Gradient Descent – Covering the mathematical concepts and formulas used in gradient descent, including differentiation and optimization.
โข Unit 4: Implementing Gradient Descent – Learning how to implement gradient descent in practice, including choosing the learning rate and handling multiple variables.
โข Unit 5: Stochastic Gradient Descent – Understanding the concept of stochastic gradient descent, its benefits, and how it differs from standard gradient descent.
โข Unit 6: Advanced Gradient Descent Techniques – Covering advanced topics in gradient descent, such as momentum, adaptive learning rates, and regularization.
โข Unit 7: Practical Applications of Gradient Descent – Exploring real-world examples of how gradient descent is used in data analysis, including linear regression and logistic regression.
โข Unit 8: Troubleshooting Gradient Descent – Learning how to identify and solve common problems that can arise when implementing gradient descent, such as vanishing or exploding gradients.
โข Unit 9: Optimization Algorithms – Understanding alternative optimization algorithms, such as conjugate gradient and BFGS, and comparing them to gradient descent.
โข Unit 10: Evaluating Model Performance – Learning how to evaluate the performance of a model trained using gradient descent, including metrics such as mean squared error and accuracy.
Parcours professionnel
Exigences d'admission
- Comprรฉhension de base de la matiรจre
- Maรฎtrise de la langue anglaise
- Accรจs ร l'ordinateur et ร Internet
- Compรฉtences informatiques de base
- Dรฉvouement pour terminer le cours
Aucune qualification formelle prรฉalable requise. Cours conรงu pour l'accessibilitรฉ.
Statut du cours
Ce cours fournit des connaissances et des compรฉtences pratiques pour le dรฉveloppement professionnel. Il est :
- Non accrรฉditรฉ par un organisme reconnu
- Non rรฉglementรฉ par une institution autorisรฉe
- Complรฉmentaire aux qualifications formelles
Vous recevrez un certificat de rรฉussite en terminant avec succรจs le cours.
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Frais de cours
- 3-4 heures par semaine
- Livraison anticipรฉe du certificat
- Inscription ouverte - commencez quand vous voulez
- 2-3 heures par semaine
- Livraison rรฉguliรจre du certificat
- Inscription ouverte - commencez quand vous voulez
- Accรจs complet au cours
- Certificat numรฉrique
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