Home AI Courses Calculus for ML & Data Science

Calculus for ML & Data Science

(0 reviews)

Optimize and interpret machine learning functions using gradients, derivatives, and gradient descent in neural networks.

Key AI Functions:Calculus,Machine Learning,Newton's Method,Gradient Descent,Mathematical Optimization

Description

Reviews

Alternative Tools

Description for Calculus for ML & Data Science

Features of Course

Utilize the properties of gradients and derivatives to analytically optimize various types of functions that are frequently employed in machine learning.

Approximately optimize various types of functions that are frequently employed in machine learning.

Visually interpret the differentiation of various types of functions that are frequently employed in machine learning.

Implement gradient descent in neural networks that utilize distinct activation and cost functions.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by DeepLearning.AI

Duration: 26 hours (approximately)

Schedule: Flexible

Reviews for Calculus for ML & Data Science

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Functions, Tools and Agents with LangChain

IBM AI Engineering Professional Certificate

Build a ML Image Classifier with Python

Alternative Tools for Calculus for ML & Data Science

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 for 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

Intro to Gen AI

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

Intro to Gen AI - Art of the Possible

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

Intro to Retrieval Augmented Generation (RAG)

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

Intro to Vertex AI

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)

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)

Machine Learning with Python

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