MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 74 lectures (10h 4m) | Size: 3.5 GB
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
Requirements
You will need to have a computer or a mobile handset with an internet connection
Knowledge of basic statistics will help
Description
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.
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