Search result for Ai and machine learning Online Courses & Certifications
Get Course Alerts by Email
Big Data, Artificial Intelligence, and Ethics
by Martin Hilbert- 4.6
Approx. 12 hours to complete
As hands-on labs, you will use IBM Watson’s artificial intelligence to extract the personality of people from their digital text traces, and you will experience the power and limitations of machine learning by teaching two teachable machines from Google yourself. Political Data-fusion and No-Sampling (Part 1) Machine Learning Machine Learning Recommender Systems Vision and Machine Learning...
Machine Learning A-Z: Logistic Regression Using Python ©
by AI Sciences- 4.1
8.5 hours on-demand video
This comprehensive course will be your guide to learning how to use the power of Python to train your machine such that your machine starts learning just like human and based on that learning, your machine starts making predictions as well! Learn all terminologies and main concepts of Machine learning theoretically...
$12.99
Optimizing Machine Learning Performance
by Anna Koop- 4.6
Approx. 12 hours to complete
You will understand and define procedures to operationalize and maintain your applied machine learning model. This is the final course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute (Amii). Machine Learning in Production and Planning Review Care and Feeding of your Machine Learning System...
Application of AI, InsurTech, and Real Estate Technology
by Christopher Geczy- 4.6
Approx. 4 hours to complete
In this course, you’ll learn about the emerging technologies in Artificial Intelligence and Machine Learning that are utilized in InsurTech and Real Estate Tech. Through study and analysis of Artificial Intelligence and Machine Learning, you’ll learn how InsurTech is redefining the insurance industry. Emerging Technologies: AI & Machine Learning Machine Learning...
Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership
by Eric Siegel- 4.9
Approx. 14 hours to complete
- Apply ML: Identify the opportunities where machine learning can improve marketing, sales, financial credit scoring, insurance, fraud detection, and much more. - Plan ML: Determine the way in which machine learning will be operationally integrated and deployed, and the staffing and data requirements to get there. Machine learning for government and healthcare...
Innovations in Investment Technology: Artificial Intelligence
by Andrew Wu , Robert Dittmar- 4.7
Approx. 11 hours to complete
Explore the evolution of AI investing and online wealth management. Moving from human-based data-driven investing strategies to neural networks, you’ll assess the ability of artificial intelligence to make investment decisions and discover the role of AI and machine learning in making trading decisions. Fintech Innovations: Series Map and Learning Goals Learning from a Case...
Machine Learning Engineer for Microsoft Azure
by Noah Gift , Alfredo Deza , Erick Galinkin , Soham Chatterjee- 0.0
3 Months
Strengthen your machine learning skills and build practical experience by training, validating, and evaluating models using Azure Machine Learning. Students in the program will learn about machine learning algorithms and crucial deployment techniques, and will be equipped to fill roles at companies seeking machine learning engineers and AI specialists....
$399
Related searches
Build, Train, and Deploy ML Pipelines using BERT
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.7
Approx. 10 hours to complete
Week 2: Train, Debug, and Profile a Machine Learning Model Train and Debug a Custom Machine Learning Model Week 3: Deploy End-To-End Machine Learning pipelines Machine Learning Operations (MLOps) Overview Creating Machine Learning Pipelines Machine Learning Pipelines with Amazon SageMaker Pipelines Store and manage machine learning features using a feature store...
Artificial Intelligence on Microsoft Azure
by Microsoft- 4.7
Approx. 4 hours to complete
In this course, you will learn the key AI concepts of machine learning, anomaly detection, computer vision, natural language processing, and conversational AI. You should be familiar with basic computing concepts and terminology, general technology concepts, including concepts of machine learning and artificial intelligence. Artificial Intelligence workloads and considerations The features of machine learning...
The AI Ladder: A Framework for Deploying AI in your Enterprise
by Mark J Grover , Ray Lopez, Ph.D.- 4.7
Approx. 3 hours to complete
This course is intended for business and technical professionals involved in strategic decision-making focused on bringing AI into their enterprises. Through the use of a conceptual model called “The AI Ladder”, participants in this course will learn the requirements, terms and concepts associated with successfully developing and deploying AI solutions in their enterprises....