This course by industry experts and academic leaders is designed for the people who want to build careers in this field
What you'll learn
- Data Science
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Types Of Machine Learning
- Supervised Learning
- Unsupervised Learning
- Artificial Neural Networks
- Machine Learning On Google Cloud
- Building a Machine Learning Model Using BigQuery
- Building a Machine Learning Model Using GCP and Tensorboard
- Predicting diabetes using Decision Tree based predictive model
- You will need to have a computer or a mobile handset with an internet connection
- Knowledge of basic statistics will help
Machine Learning, BigQuery, TensorBoard, Google Cloud, TensorFlow, Deep Learning have become key industry drivers in the global job and opportunity market. This course with mix of lectures from industry experts and Ivy League academics will help engineers, MBA students and young managers learn the fundamentals of big data and data science and their applications in business scenarios.
In this course you will learn
1. Data Science
2. Machine Learning
3. BigQuery
4. TensorBoard
5. Google Cloud Machine Learning
6. AI, Machine Learning, Deep Learning Fundamentals
7. Analyzing Data
8. Supervised and Unsupervised Learning
9. Building a Machine Learning Model Using BigQuery
10. Building a Machine Learning Model Using GCP and Tensorboard
11. Building your own model for predicting diabetes using Decision Tree
Who this course is for:
- Anyone who wants to build a solid career in artificial intelligence, machine learning, data science
