Machine Learning Expert Hot & new
Become an industry-ready expert in Machine Learning and AI innovation.
By Von wick
Last update 10 Sep. 2019
This course includes
- 48.5 hours on-demand video
- 57 articles
- 12 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
Description
This advanced course focuses on building ML models, tuning algorithms, and implementing AI solutions. Develop expertise in areas like deep learning, NLP, and AI frameworks.
Objective of the Course
- Advance learners’ skills in building complex Machine Learning models.
- Provide in-depth knowledge of frameworks like TensorFlow, PyTorch, and Kera
- Enable learners to tackle industry-relevant problems in areas like Natural Language Processing, computer vision, and AI-powered decision systems.
Machine Learning essentials 04 lectures
Introduction to Machine Learning 04 lectures
- Lecture2.1 Supervised Machine Learning algorithms
- Lecture2.2 K-Nearest Neighbors (KNN) concept and application
- Lecture2.3 Naive Bayes concept and application
- Lecture2.4 Logistic Regression concept and application
- Lecture2.5 Classification Trees concept and application Unsupervised Machine Learning algorithms Clustering with K-means concept and application
Data Processing for Machine Learning 04 lectures
Machine Learning Hands on Project 05 lectures
Job Roles & Placement Details
- High placement rates in AI-driven industries, startups, and tech firms.
- Collaboration with hiring partners to connect with top recruiters.
- Job Roles: Machine Learning Engineer, AI Specialist, Data Scientist
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