Data Mining Practical Machine Learning

Data Mining: Practical Machine Learning

📁 Data Mining: Practical Machine Learning Tools and Techniques

✍ Ian H. Witten, Eibe Frank 📂 Library 📅 2005 🏛 Morgan Kaufmann 🌐 English

As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no al

Data Mining: Practical Machine Learning

📁 Data Mining: Practical Machine Learning Tools and Techniques

✍ Ian H. Witten, Eibe Frank 📂 Library 📅 2005 🏛 Morgan Kaufmann 🌐 English

As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no al

Data Mining: Practical Machine Learning

📁 Data Mining: Practical Machine Learning Tools and Techniques

✍ Ian H. Witten, Eibe Frank 📂 Library 📅 2005 🏛 Morgan Kaufmann 🌐 English

As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no al

Data Mining: Practical Machine Learning

📁 Data Mining: Practical Machine Learning Tools and Techniques

✍ Ian H. Witten, Eibe Frank 📂 Library 📅 2005 🏛 Morgan Kaufmann 🌐 English

As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no al

Data Mining: Practical Machine Learning

📁 Data Mining: Practical Machine Learning Tools and Techniques

✍ Ian H. Witten, Eibe Frank 📂 Library 📅 2005 🏛 Morgan Kaufmann 🌐 English

As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no al

Data Mining: Practical Machine Learning

📁 Data Mining: Practical Machine Learning Tools and Techniques

✍ Ian H. Witten, Eibe Frank 📂 Library 📅 2005 🏛 Morgan Kaufmann 🌐 English

I found many new interesting subjects reading this book. It helps me to look for other sources for information. It was really useful!