It takes the average reader 1 hour and 32 minutes to read Applying Reinforcement Learning on Real-World Data with Practical Examples in Python by Philip Osborne
Assuming a reading speed of 250 words per minute. Learn more
Reinforcement learning is a powerful tool in artificial intelligence in which virtual or physical agents learn to optimize their decision making to achieve long-term goals. In some cases, this machine learning approach can save programmers time, outperform existing controllers, reach super-human performance, and continually adapt to changing conditions. This book argues that these successes show reinforcement learning can be adopted successfully in many different situations, including robot control, stock trading, supply chain optimization, and plant control. However, reinforcement learning...
Applying Reinforcement Learning on Real-World Data with Practical Examples in Python by Philip Osborne is 92 pages long, and a total of 23,184 words.
This makes it 31% the length of the average book. It also has 28% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 2 hours and 6 minutes to read Applying Reinforcement Learning on Real-World Data with Practical Examples in Python aloud.
Applying Reinforcement Learning on Real-World Data with Practical Examples in Python is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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