ML with Python: from Linear Models to Deep Learning.
Understand machine learning ideas and project management strategies in order to effectively develop and analyze different models.
Description for ML with Python: from Linear Models to Deep Learning.
- Machine Learning Principles: Acquire a comprehensive comprehension of machine learning challenges, including clustering, regression, classification, and reinforcement learning.
- Machine Learning Models: Learn to implement and analyze machine learning models, including linear models, kernel machines, neural networks, and graphical models.
- Model Selection for Applications: Comprehend the process of selecting the appropriate model for various machine-learning tasks.
- Machine Learning Project Management: Acquire proficiency in the management of machine learning projects, which encompasses parameter optimization, feature engineering, training, and validation.
Level: Advanced
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by MITx
Duration: 10�14 hours per week approx 15 weeks
Schedule: Instructor-paced
Pricing for ML with Python: from Linear Models to Deep Learning.
Use Cases for ML with Python: from Linear Models to Deep Learning.
FAQs for ML with Python: from Linear Models to Deep Learning.
Reviews for ML with Python: from Linear Models to Deep Learning.
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for ML with Python: from Linear Models to Deep Learning.
Featured Tools
Understand the Naïve Bayesian, Support Vector Machine, Decision Tree algorithms, and clustering, requiring proficiency in Python and basic mathematics.
While adhering to ethical standards and emerging NLP trends, learners will acquire proficiency in the development of AI prompts that are both versatile and effective.
Integrate AI-assisted code into a Python project, optimize and debug with AI, and create detailed documentation using ChatGPT.
An overview of machine learning for business applications is provided in this course, which instructs participants on the development and utilization of ML models with BigQuery.
Investigate the objectives and advantages of Google's Big Data and Machine Learning products, including the use of BigQuery for interactive analysis, Cloud SQL, and Dataproc for migrating MySQL and Hadoop applications, and the selection of a variety of data processing tools on Google Cloud.
Compare & Review AI Tool Directory AI Course Marketplace
AI Tool Categories
AI Productivity ToolsAI Image GeneratorsAI Text GeneratorsAI Video GeneratorsAI Audio GeneratorsAI Art GeneratorsMisc AI ToolsAI Code GeneratorsFree AI ToolsAI Functions
Marketing AI ToolsAI Tools for EducationAI Tools for ResearchAI Tools for FinanceAI Project Management ToolsLegal AI ToolsAI Tools for E-commerceAI Agents For AutomationAI Tools for BusinessAI Tools for Real EstateAI Course Categories
AI & Machine Learning CoursesGenerative AI CoursesData Science CoursesComputer Science CoursesAI Courses for BeginnersContact Us: [email protected]
Aimed Labs