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Book: Mastering Feature Engineering

@machinelearnbot

If you understand basic machine learning concepts like supervised and unsupervised learning, you're ready to get started. Alice is a technical leader in the field of Machine Learning. Currently, she is a Senior Manager in Amazon's Ad Platform. She received a Ph.D. in Electrical Engineering and Computer science, and B.A. degrees in Computer Science in Mathematics, all from U.C. Berkeley.


Book: Evaluating Machine Learning Models

@machinelearnbot

Data science today is a lot like the Wild West: there's endless opportunity and excitement, but also a lot of chaos and confusion. If you're new to data science and applied machine learning, evaluating a machine-learning model can seem pretty overwhelming. With this O'Reilly report, machine-learning expert Alice Zheng takes you through the model evaluation basics. In this overview, Zheng first introduces the machine-learning workflow, and then dives into evaluation metrics and model selection. The latter half of the report focuses on hyperparameter tuning and A/B testing, which may benefit more seasoned machine-learning practitioners.


Book: Evaluating Machine Learning Models

@machinelearnbot

Data science today is a lot like the Wild West: there's endless opportunity and excitement, but also a lot of chaos and confusion. If you're new to data science and applied machine learning, evaluating a machine-learning model can seem pretty overwhelming. With this O'Reilly report, machine-learning expert Alice Zheng takes you through the model evaluation basics. The latter half of the report focuses on hyperparameter tuning and A/B testing, which may benefit more seasoned machine-learning practitioners. Get the Free Ebook, here.



Springer released 65 free Computer Science, Machine Learning, Data Science, Web Development books

#artificialintelligence

Well here is the good news for Computer Science, Data Science, and Machine Learning Enthusiasts because Springer has released more than 70 books in Computer Science, Data Science, and Machine Learning domain and that too for free. Personally, I found the book's collection very impressive. Who can read these books? Right from the mathematics needed to kickstart your Machine Learning journey, Machine Learning basics, useful libraries, hands-on code, real-world examples, Programming in R and python, Deep Learning basics, robotics, and programming languages, etc. all are covered in these books.