Description for Math: ML with Python
Functions, Equations, and Graphs: Acquire a comprehensive understanding of the fundamental concepts of functions, equations, and how to graph them for analytical purposes.
Differentiation and Optimization: Comprehend the fundamental concepts of differentiation and optimization in order to resolve issues that involve change and maximization/minimization.
Vectors and Matrices: Acquire a comprehensive understanding of vectors and matrices, which are essential for the representation and resolution of multidimensional problems.
Statistics and Probability: Acquire a comprehensive understanding of the fundamental concepts of statistics and probability, which are necessary for the analysis and interpretation of data.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX
Duration: 6�8 hours per week approx 6 week
Schedule: Flexible
Pricing for Math: ML with Python
Use Cases for Math: ML with Python
FAQs for Math: ML with Python
Reviews for Math: ML with Python
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Math: ML with Python
The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.
Mathly is an AI-powered tool for math assignments, offering photo-based problem resolution, individualized explanations, comprehensive query response, generation of analogous problems, and efficient learning methods.
Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.
Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.
Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world
Welcome to the 'Gen AI for Code Generation for Python' course, where you will begin a journey to hone and expand your abilities in the field of code generation using Generative AI.
Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.
Master coding basics and create a Hangman game using generative AI tools like Google Bard in a beginner-friendly, 1.5-hour guided project.
Learn the significance, use cases, history, and pros and cons of generative AI in a business context, with a focus on its relationship to machine learning and services at Amazon.
Learn about AI principles and platforms like IBM Watson and Hugging Face, integrate RAG technology for chatbot intelligence, create web apps using Python libraries, and develop interfaces with generative AI models and Python frameworks.
Featured Tools
Develop expertise in the exposure and deployment of large language models via application programming interfaces (APIs), configure server environments, and incorporate natural language processing (NLP) functionalities into applications.
Learn to train and develop image classification and object detection systems using machine learning, and deploy these models to microcontrollers.
The course outlines techniques for establishing a data science environment on Azure and conducting predictive model training and data experimentation.
Gain expertise in Bayesian statistics, Bayesian inference, and R programming through comprehensive courses, active learning, and a culminating real-world data analysis project.
Gain a comprehensive understanding of AI applications, concepts, technological progression, software architecture, and deployment considerations across various environments.