Deep Dive into Artificial Intelligence - The Master Program
Duration: 11h 32m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.84 GB
Genre: eLearning | Language: English
Duration: 11h 32m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.84 GB
Genre: eLearning | Language: English
Artificial Intelligence | Data Science with Python | Machine Learning | Deep Learning with Keras and TensorFlow
What you'll learn:
Understand Artificial Intelligence in detail
Work on Data Science with python
Deep dive into Machine Learning
Understand Deep Learning with Keras and TensorFlow
Requirements:
No prerequisites are required, as the course covers the concepts from the scratch. However, basic knowledge of Python would help.
Description:
About the Course:
The “Deep Dive into Artificial Intelligence - The Master Program” course is an intermediate level course, curated exclusively for both beginners and professionals.
The course covers the basics as well as the advanced level concepts. The course contains content based videos along with practical demonstrations, that performs and explains each step required to complete the task.
Learning Objectives:
By the end of the course, you will be able to learn about:
Introduction to Artificial Intelligence
Fundamentals of Machine Learning and Deep Learning
Machine Learning Workflow
Performance Metrics
Overview of Data Science
Overview of Data Analytics
Statistical Analysis and Business
Python Environment Setup and Essentials
Mathematical Computing with Python
Scientific Computing with Python
Data Manipulation with Pandas
Machine Learning with Scikit-Learn
Natural Language Processing with Scikit Learn
Data Visualization in Python using matplotlib
Web Scraping with BeautifulSoup
Python Integration with Hadoop MapReduce and Spark
Introduction to AI and Machine Learning
Data Preprocessing
Supervised Learning
Feature Engineering
Supervised Learning Classification
Unsupervised Learning
Time Series Modeling
Ensemble Learning
Recommender Systems
Text Mining
Introduction to TensorFlow
Convolutional Network
Recurrent Neural Network
Restricted Boltzmann Machine (RBM)
Autoencoders
…and much more! There are separate sections for Artificial Intelligence, Data Science with Python, Machine Learning, and Deep Learning with Keras and TensorFlow which lets you scale up these techniques.
Don't worry if you've never used Python before; the course covers the topics from the basics. You should be able to pick it up fast if you have experience with programming.
This course will teach you the fundamental methods employed by data scientists in the actual world of business, which is ideal if you are a programmer wishing to transition into a fascinating new career path. What are you waiting for? These are things that any successful technologist must be aware of. Enroll now!
Who this course is for:
Candidates who are willing to learn AI in detail
IT professional willing to upskill themselves in Data Science, ML, or AI
Freshers/ Beginners who are willing to make a career in Data Science, ML, or AI
Python developers willing to upskill themselves
More Info