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[FreeCoursesOnline.Me] [Packt] Hands-On Artificial Intelligence For Small Businesses [FCO]
TORRENT SUMMARY
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• Getting Started with Artificial Intelligence with Python
• Predicting Sales with Supervised Learning
• Understanding Your Customer Base Using Unsupervised Learning
• Product Recommendations Using Semi-Supervised Learning
• Optimizing Page Layouts and Advertisements Using Reinforcement Learning
Learn
• Build neural networks for Business solutions
• Understand AI and different areas of application in business to manage workflow, optimise operations & predict trends
• Create machine-learning models using supervised and unsupervised machine learning techniques
• Build smart systems to analyze data for enhanced customer experience
• Optimize machine learning models for better performance and accuracy.
• Design intelligent agents to solve real-world problems.
About
Artificial Intelligence has become an important and integral part of many industries, revolutionizing sectors such as Banking, Medicine, Transportation, etc. Recently, small businesses have been leveraging AI to scale up and be more efficient. This course is your stepping stone to mastering the power of AI for your own business.
This course will teach you to approach AI from a leader’s perspective using practical, data-driven methods to identify and quantify business opportunities. You will learn to use several varieties of machine learning techniques, improving the capability of your business to deliver better and faster solutions to its customers and clients.
By the end of the course, you will have the skills to improve and innovate the services of any business using the power of AI.
The code bundle for this video course is available at - https://github.com/PacktPublishing/Hands-on-Artificial-Intelligence-for-Small-Businesses
Style and Approach
This course adopts a hands-on approach to teach you the skills required to develop Artificial Intelligence models for common processes in a small business.
Features:
• Apply AI to predicting sales, understanding your customers, making recommendations, optimizing business and design decisions, and processing user comments.
• Explore widely used Python packages and tools to perform intelligence tasks.
• Adapt prewritten example code to your own datasets and challenges.
Author
Sam Saarinen
Sam Saarinen is is an artificial intelligence researcher with a graduate degree from Brown University. He also has a passion for teaching and plans to use AI to improve education worldwide. When he’s not making video games, freestyle rapping, or telling bad jokes – and even when he is – he enjoys spending time with his wife. Sam’s website and a partial list of projects can be found here: sam-saarinen.github.io
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FILE LIST
Filename
Size
0. Websites you may like/How you can help Team-FTU.txt
237 B
01. Getting Started with Artificial Intelligence with Python/0101.The Course Overview.mp4
43.1 MB
01. Getting Started with Artificial Intelligence with Python/0102.What Can AI Do for Businesses.mp4
31.9 MB
01. Getting Started with Artificial Intelligence with Python/0103.Set Up and Installation – Anaconda and PyTorch.mp4
9.2 MB
01. Getting Started with Artificial Intelligence with Python/0104.Notebooks and Debugging.mp4
9.4 MB
01. Getting Started with Artificial Intelligence with Python/0105.Working with Lambdas and Functional Programming Tools.mp4
21.7 MB
01. Getting Started with Artificial Intelligence with Python/0106.Understanding NumPy and Matplotlib.mp4
33.1 MB
02.Predicting Sales with Supervised Learning/0201.Classification versus Regression.mp4
26.8 MB
02.Predicting Sales with Supervised Learning/0202.Training, Testing, and Validation.mp4
25.9 MB
02.Predicting Sales with Supervised Learning/0203.Boosting and Ensembles.mp4
18.8 MB
02.Predicting Sales with Supervised Learning/0204.Small Data and Cross Validation.mp4
6.3 MB
02.Predicting Sales with Supervised Learning/0205.Building Artificial Neural Networks.mp4
43.9 MB
03. Understanding Your Customer Base Using Unsupervised Learning/0301.Understanding Unsupervised Learning.mp4
25.2 MB
03. Understanding Your Customer Base Using Unsupervised Learning/0302.Using Bayesian Inference.mp4
5.6 MB
03. Understanding Your Customer Base Using Unsupervised Learning/0303.Expectation Maximization.mp4
20 MB
03. Understanding Your Customer Base Using Unsupervised Learning/0304.Notions of Distance.mp4
28.1 MB
03. Understanding Your Customer Base Using Unsupervised Learning/0305.Hierarchical Clustering Methods.mp4
10.9 MB
04. Product Recommendations Using Semi-Supervised Learning/0401.Understanding Semi-Supervised Learning.mp4
11.8 MB
04. Product Recommendations Using Semi-Supervised Learning/0402.Nearest Neighbor Search and Collaborative Filtering.mp4
28.8 MB
04. Product Recommendations Using Semi-Supervised Learning/0403.Building a Recommendation Engine.mp4
8.4 MB
04. Product Recommendations Using Semi-Supervised Learning/0404.Extracting Features from Natural Language.mp4
13.9 MB
04. Product Recommendations Using Semi-Supervised Learning/0405.Recommendation Objectives and Clustering.mp4
23.6 MB
04. Product Recommendations Using Semi-Supervised Learning/0406.Active Learning.mp4
16.1 MB
05. Optimizing Page Layouts and Advertisements Using Reinforcement Learning/0501.Understanding Reinforcement Learning.mp4
15.6 MB
05. Optimizing Page Layouts and Advertisements Using Reinforcement Learning/0502.Continual AB Testing.mp4
38.2 MB
05. Optimizing Page Layouts and Advertisements Using Reinforcement Learning/0503.Infinite AB Testing.mp4
22.6 MB
05. Optimizing Page Layouts and Advertisements Using Reinforcement Learning/0504.Using Context.mp4
124.5 MB
05. Optimizing Page Layouts and Advertisements Using Reinforcement Learning/0505.Learning Across Time.mp4
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