Computer Science

Math: ML with Python

(0 reviews)
Share icon
eDX

Develop an expertise in fundamental mathematical concepts, such as vectors, matrices, statistics, differentiation, and equations, to facilitate your quantitative pursuits.

Key AI Functions:

python,machine learning,math

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

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

icon
Paid

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.

#research #marketing
Visit icon

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.

#Artificial Intelligence (AI) #Data Science
Visit icon

Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.

#Artificial Intelligence (AI) #Python Programming
Visit icon

Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world

#Tensorflow #Machine Learning
Visit icon

Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.

#Generative AI #Large Language Models
Visit icon

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.

#Generative AI #Amazon Web Services
Visit icon

Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.

#Python Programming #Machine Learning
Visit icon

The "Introduction to Vertex AI" course provides a four-hour, practical, and fundamental overview of Vertex AI, ideal for professionals and enthusiasts aiming to leverage AI effectively.

#Critical Thinking #MLOps (Machine Learning Operations)
Visit icon

Learn to describe and implement various machine learning algorithms in Python, including classification and regression techniques, and evaluate their performance using appropriate metrics.

#Machine Learning #regression
Visit icon

Develop applications that are intelligent. In four practical courses, acquire a comprehensive understanding of the fundamentals of machine learning.

#Data Clustering Algorithms #Machine Learning
Visit icon