eBook Details: Paperback: 322 pages Publisher: WOW! eBook (November 30, 2018) Language: English ISBN-10: 1789132215 ISBN-13: 978-1789132212 eBook Description: TensorFlow Machine Learning Projects: Implement TensorFlow’s offerings such as TensorBoard, TensorFlow.js, TensorFlow Probability, and TensorFlow Lite to build smart automation projects TensorFlow has transformed the way machine learning is perceived. TensorFlow Machine Learning Projects teaches...
eBook Details: Paperback: 366 pages Publisher: WOW! eBook (October 18, 2019) Language: English ISBN-10: 1789131111 ISBN-13: 978-1789131116 eBook Description: Reinforcement Learning Algorithms with Python: Develop self-learning algorithms and agents using TensorFlow and other Python tools, frameworks, and libraries Reinforcement Learning (RL) is a popular and promising branch of AI that involves making smarter models...
eBook Details: Paperback: 340 pages Publisher: WOW! eBook (October 31, 2019) Language: English ISBN-10: 1838551964 ISBN-13: 978-1838551964 eBook Description: PyTorch 1.x Reinforcement Learning Cookbook: Implement reinforcement learning techniques and algorithms with the help of real-world examples and recipes Reinforcement Learning (RL) is a branch of machine learning that has gained popularity in recent times....
eBook Details: Paperback: 674 pages Publisher: WOW! eBook (October 25, 2019) Language: English ISBN-10: 1789343232 ISBN-13: 978-1789343236 eBook Description: Mastering pandas, 2nd Edition: Perform advanced data manipulation tasks using pandas and become an expert data analyst pandas is a popular Python library used by data scientists and analysts worldwide to manipulate and analyze their...
eBook Details: Paperback: 374 pages Publisher: WOW! eBook (April 30, 2019) Language: English ISBN-10: 1838551026 ISBN-13: 978-1838551025 eBook Description: Data Science Projects with Python: Gain hands-on experience with industry-standard data analysis and machine learning tools in Python Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and...
