Author: John Hearty
Title: Mastering Python Machine Learning
Print Length: 266
Language: English, Francais, Italiano, Espanol, Deutsch
Format: PDF, ePub, mobi, azw, kf8, txt, ibook, Kindle
Solve challenging data science problems by mastering cutting-edge machine learning techniques in PythonAbout This BookResolve complex machine learning techniques and explore deep learningLearn to use python codes for a range of algorithms and techniquesA practical tutorial that tackles real-world problems through a rigorous and effective approachWho This Book Is ForThis title is for both Python developers and analysts or data scientists who are looking to add to their existing skills by accessing some of the most powerful recent trends in data science. If you’ve ever considered building your own image or text-tagging solution, or of entering a Kaggle contest for instance, this book is for you!Prior experience of Python and grounding in some of the core concepts of machine learning would be helpful, but no prior experience of deep learning is required.What You Will LearnCompete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithmsApply your new found skills to solve real problems, through clearly-explained code for every technique and testAutomate large sets of complex data and overcome time-consuming practical challengesImprove the accuracy of models and your existing input data using powerful feature engineering techniquesUse multiple learning techniques together to improve the consistency of resultsUnderstand the hidden structure of datasets using a range of unsupervised techniquesGain insight into how the experts solve challenging data problems with an effective, iterative, and validation-focused approachImprove the effectiveness of your deep learning models further by using powerful ensembling techniques to strap multiple models togetherIn DetailThe machine learning techniques covered in this book are at the forefront of commercial practice, applicable now for the first time in contexts such as image recognition, NLP and web search, computational creativity, and commercial/financial data modeling. Deep Learning algorithms and ensembles of models are in use by data scientists at top tech and digital companies, but the skills needed to apply them successfully, while in high demand, are still scarce.Mastering Python Machine Learning is designed to take you on a guided tour of the most relevant and powerful machine learning techniques in use today by top data scientists. Clear descriptions of how techniques work and detailed code examples demonstrate deep learning techniques, semi-supervised learning, and more, in real-world applications that include image, music, text, and financial data.