Home AI Courses Machine Learning - An Introduction

Machine Learning - An Introduction

(0 reviews)

Acquire practical skills in fundamental machine learning models and their applications using PyTorch, as utilized by leading tech companies.

Key AI Functions:Convolutional Neural Network,Python Programming,Machine Learning,pytorch,Natural Language Processing

Description

Reviews

Alternative Tools

Description for Machine Learning - An Introduction

Understand fundamental machine learning models, including logistic regression, multilayer perceptrons, convolutional neural networks, and natural language processing.

Learn to apply these models to solve complex problems in industries such as medical diagnostics, image recognition, and text prediction.

Gain practical expertise through exercises implementing these models on datasets using PyTorch.

Utilize open source libraries used by leading technology companies like Google, NVIDIA, Coca-Cola, eBay, Snapchat, and Uber.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by Duke University

Duration: 25 hours (approximately)

Schedule: Flexible

Reviews for Machine Learning - An Introduction

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Linear Regression with NumPy and Python

Fundamentals of Gen AI : Beginner's Guide

AI Awakening: Implications in Economy & Society

Alternative Tools for Machine Learning - An Introduction

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

Gen AI Supporting Data Engineers

Begin your vocation in generative AI data engineering. Obtain the necessary skills to secure a position as a data engineer by acquiring an understanding of generative AI. No prior experience is required.

#Convolutional Neural Network #Information Engineering

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 Code Generation for Python

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.

#Prompt Engineering #Python Programming Language

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

Functions, Tools and Agents with LangChain

Learn to use the latest LLM APIs, the LangChain Expression Language (LCEL), and develop a conversational agent.

#Python Programming #Langchain

Software Development: Python Code Generation

Master coding basics and create a Hangman game using generative AI tools like Google Bard in a beginner-friendly, 1.5-hour guided project.

#Software Development #Python Programming

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