Home AI Courses Mathematics for ML & Data Science Specialization

Mathematics for ML & Data Science Specialization

(0 reviews)

Master the AI and machine learning toolkit. Mathematics for Machine Learning and Data Science is a Specialization that is accessible to beginners. In this program, you will acquire the basic mathematics tools of machine learning, including calculus, linear algebra, statistics, and probability.

Key AI Functions:Bayesian Statistics,Mathematics,Linear Regression,Calculus,Machine Learning,Probability

Description

Reviews

Alternative Tools

Description for Mathematics for ML & Data Science Specialization

A profound comprehension of the mathematics that enables machine learning algorithms to function.

Statistical methods that enable you to extract more value from your data analysis.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by DeepLearning.AI

Duration: 3 months at 5 hours a week

Schedule: Flexible

Reviews for Mathematics for ML & Data Science Specialization

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Data Engineering Foundations Specialization

Google Cloud Certification: ML Engineer

Linear Regression with NumPy and Python

ML : Algorithms in the Real World Specialization

Programming the IOT Specialization - Intro

Alternative Tools for Mathematics for ML & Data Science Specialization

Akkio

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

Gen AI Assisting Data Scientists

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

GenAI An Introductory Course

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

#Artificial Intelligence (AI) #Python Programming

ML on Google Cloud

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

#Tensorflow #Machine Learning

Gen AI in Marketing Specialization

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

Gen AI - Art of the Possible An Intro

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

Retrieval Augmented Generation (RAG) - Intro

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

Vertex AI - An Introduction

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)

Foundations of Machine Learning

Develop and evaluate machine learning models using regression, trees, and unsupervised techniques to address various business challenges.

#Logistic Regression #Unsupervised Learning

AI and ML Essentials with Python Specialization

Investigate the field of artificial intelligence and machine learning. While investigating the transformative disciplines of artificial intelligence, machine learning, and deep learning, enhance your Python abilities.

#Artificial Intelligence #Python (Programming Language)