Description for ML With Big Data
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by University of California San Diego
Duration: 21 hours (approximately)
Schedule: Flexible
Pricing for ML With Big Data
Use Cases for ML With Big Data
FAQs for ML With Big Data
Reviews for ML With Big Data
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for ML With Big Data
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.
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.
Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.
Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world
Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.
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.
Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.
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.
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.
Learn to describe and implement various machine learning algorithms in Python, including classification and regression techniques, and evaluate their performance using appropriate metrics.
Featured Tools
Acquire the ability to utilize AI tools and concepts to implement innovative, ethical, and efficient project management practices.
Start your Machine Learning career. Prepare for AWS Certified Machine Learning Specialty Certification by learning AWS ML basics.
Understanding generative AI, executing projects effectively, and exploring its societal impacts, risks, and opportunities.
Learn to identify suitable applications for machine learning, integrate human-centered design principles for privacy and ethical considerations in AI product development, and lead machine learning projects following data science methodology and industry standards.
Learn to perform inferential statistical analysis, assess and improve data visualizations, integrate machine learning into data analysis, and analyze social network connectivity.