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The Basics of Data Literacy: Helping Your Students (and You!) Make Sense of Data by Michael Bowen

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Meet Me in the Middle: Becoming an Accomplished Middle Level Teacher

Rick Wormeli - 2001

Rick Wormeli is the teacher you would like to have on your team or in the room next door.from the Foreword by Ed BrazeeDrawing on the wisdom of educators, researchers, and twenty years of personal experience in the middle school classroom, Rick Wormeli lays out a clear vision of what responsive middle-level teaching can be in Meet Me in the Middle: Becoming an Accomplished Middle-Level Teacher.Both a "how-to" book and a thoughtful narrative on important topics, Meet Me in the Middle gives you successful strategies for addressing key middle-level teaching challenges, including:differentiating instruction;motivating early adolescents;teaming;teaching in block-length classes;using authentic and alternative assessment effectively;writing in all subjects;holding students and teachers accountable;involving parents;mentoring teachers;using games in the classroom;applying the latest in brain research;the National Board Certification process;understanding the young adolescent.Rick ignites the imagination and commitment of pre-service and beginning teachers and rekindles the motivation of veteran teachers who want to create a high-performance classroom.

He effectively demonstrates theory with rich examples from his own teaching. Teacher educators and staff developers will find Meet Me in the Middle to be a wonderful handbook of best practices and insights to share with new teachers, including second-career individuals coming from other professions.

Data Mining: Practical Machine Learning Tools and Techniques

Ian H. Witten - 1999

Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations.

This highly anticipated fourth edition of the most ...Download Link : readmeaway.com/download?i=0128042915 0128042915 Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF by Ian H. WittenRead Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF from Morgan Kaufmann,Ian H. WittenDownload Ian H. Witten's PDF E-book Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

Deep Learning with Python

François Chollet - 2017

Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech, and optical character recognition.

It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

Book picks similar toThe Basics of Data Literacy: Helping Your Students (and You!) Make Sense of Data by Michael Bowen

Meet Me in the Middle: Becoming an Accomplished Middle Level Teacher

Data Mining: Practical Machine Learning Tools and Techniques

Deep Learning with Python

Book picks similar to
The Basics of Data Literacy: Helping Your Students (and You!) Make Sense of Data by Michael Bowen