ML Models in Science

(0 reviews)

While addressing real-world issues and utilizing scientific datasets, develop a comprehensive understanding of machine learning techniques and tools.

Key AI Functions:random forest,artificial neural network,python programming,machine learning,pca,ai & machine learning

Description

Reviews

Alternative Tools

Description for ML Models in Science

Comprehensive Data Preparation: Acquire the knowledge of fundamental preprocessing techniques, including Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), to effectively clear and transform data.
Fundamental Algorithms: Acquire practical experience with fundamental AI techniques, such as K-means clustering and Support Vector Machines (SVMs), to address classification and clustering issues.
Advanced Model Development: Investigate sophisticated techniques such as random forests and neural networks to address intricate machine learning tasks.
Practical Applications and Final Project: Utilize real-world medical and astronomical datasets to develop a Python-based project that compares and evaluates machine learning models.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by LearnQuest

Duration: 3 weeks at 3 hours a week

Schedule: Flexible

Reviews for ML Models in Science

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

AI and ML on GC an Intro - Espanol

Introduction to LLM Vulnerabilities

Marketing Automation: Automation Secrets for Business Growth

Google AI: Accessible to Anyone

Alternative Tools for ML Models in 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 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 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

Building Gen AI-Powered Applications with Python

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.

#Voice Assistants #Chatbots