Home AI Courses AI and ML Essentials with Python Specialization

AI and ML Essentials with Python Specialization

(0 reviews)

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.

Key AI Functions:Artificial Intelligence,Python (Programming Language),Logistic Regression,Linear Regression,Machine Learning Methods,Probability And Statistics,Confidence Intervals

Description

Reviews

Alternative Tools

Description for AI and ML Essentials with Python Specialization

Gain an understanding of the historical, scientific, and philosophical underpinnings of machine learning and artificial intelligence.

Utilize Python programming concepts to develop AI algorithms, machine learning models, and deep learning architectures.

Utilize fundamental statistics concepts, including linear algebra, probability, and statistical learning theory, to create and evaluate machine learning models.

Compare and implement machine learning algorithms, including linear regression and logistic regression, for both classification and regression tasks.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by University of Pennsylvania

Duration: 4 months at 8 hours a week

Schedule: Flexible

Reviews for AI and ML Essentials with Python Specialization

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Gen AI Assistants

Microsoft Azure AI Fundamentals AI-900 Exam Prep Specialization

Beginning Llamafile

ML in the Enterprise

Probabilistic Graphical Models 3: Learning

Alternative Tools for AI and ML Essentials with Python Specialization

Gen AI Assisting Software Developers

Enhance your software development career with Gen AI. Develop hands-on, in-demand Generative AI skills to elevate your software engineering game in one month or less.

#Software Engineering #Artificial Intelligence(AI)

AI Engineering

Achieve a professional status as an AI Engineer. Acquire the knowledge necessary to develop next-generation applications that are propelled by generative AI, a skill that is indispensable for startups, agencies, and large corporations.

#Vector databases #RAG

Gen AI Guiding Product Managers

Enhance your Product Manager career with Gen AI. Boost your Product Manager career in under two months by developing hands-on, in-demand generative AI skills. No prior experience is required to initiate the process.

#Artificial Intelligence (AI) #ChatGPT

AI in Business

Delve into the historical evolution of Generative AI and AI, exploring diverse models and their applications in business contexts for optimized decision-making and innovation.

#Business AI #Generation AI

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

IBM AI Product Manager

Begin your professional journey as an AI Product Manager. Develop generative AI and product management skills that are in high demand to be job-ready in six months or less.

#Artificial Intelligence #Product Management

Gen AI Architecture and Application Development

Gain expertise in Large Language Models (LLMs), apply generative AI to diverse tasks, ensure ethical alignment, and access the course regardless of prior AI or programming knowledge.

#Python (Programming Language) #Langchain

Deep Learning for Computer Vision Specialization

Use AI skills to advance your engineering career. Acquire practical knowledge regarding deep learning methodologies for computer vision.

#Anomaly Detection #Artificial Intelligence (AI)

AI in Efficient Programming: Harnessing the Power of LLMs

Gain a comprehensive understanding of AI's potential, ethical considerations, and applications in efficient programming and common coding tasks using various LLMs.

#Ethics Of Artificial Intelligence #Data Science