Book description
Since the first edition of “Data Science and Analytics with Python” we have witnessed an unprecedented explosion in the interest and development within the fields of Artificial Intelligence and Machine Learning. This surge has led to the widespread adoption of the book, not just among business practitioners, but also by universities as a key textbook. In response to this growth, this new edition builds upon the success of its predecessor, expanding several sections, updating the code to reflect the latest advancements in Python libraries and modules, and addressing the ever-evolving landscape of generative AI (GenAI).This updated edition ensures that the examples and exercises remain relevant by incorporating the latest features of popular libraries such as Scikit-learn, pandas, and Numpy. Additionally, new sections delve into cutting-edge topics like generative AI, reflecting the advancements and the expanding role these technologies play. This edition also addresses crucial issues of explainability, transparency, and fairness in AI. These topics have rightly gained significant attention in recent years. As AI integrates more deeply into various aspects of our lives, understanding and mitigating biases, ensuring fairness, and maintaining transparency become paramount. This book provides comprehensive coverage of these topics, offering practical insights and guidance for data scientists and analysts.Designed as a practical companion for data analysts and budding data scientists, this book assumes a working knowledge of programming and statistical modelling but aims to guide readers deeper into the wonders of data analytics and machine learning. Maintaining the book's structure, each chapter stands alone as much as possible, allowing readers to use it as a reference as well as a textbook. Whether revisiting fundamental concepts or diving into new, advanced topics, this book offers something valuable for every reader.
Undergrad
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Moon Radar
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Red Hot Kevorkian
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Despair
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Mud Eye
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Knuckles
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Mad Kid
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Lord Pistachio
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Night Magnet
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Star Sword
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Mad Jack
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Marine Dre
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Pompeii Unicorn
The vast selection of titles on this app is a book lover's dream come true. Automatic metadata retrieval adds a professional touch to my audiobook collection.
MysticMingle
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Romance Guppy
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NexusNomad
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Plum Moon
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Black Walnut
From MP3 to FLAC, this app plays them all flawlessly. Say goodbye to compatibility issues! The app never crashes. It’s reliable and stable.
Palomino
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Pockets
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Playing a wide variety of audio formats
Works on all devices with iOS 13 and newer
Huge amount of features for a small price
Frequent updates to add new features and improve existing ones
Advanced playback controls
Live sound processing
Changing the timbre of the reader's voice and noise reduction
Translated into more than 20 languages
If you love listening to fiction audiobooks, ListenBook has features to make the process easier.
Edit book data: title, author, cover
Use equalizer to make the sound comfortable for you
Adjust the playback speed
Enjoy dark and light app themes
Supported formats: MP3, M4B, AWB, FLAC, OGG audio files and many more (must be DRM free)
Auto-Bookmarks make it easy to find your place
AirPlay support allows redirection of audio output.
VoiceOver support
Dark mode for night owls
Convenient bookmarking system helps you mark the most important places.
Unlimited bookmarks for each audiobook
Put your own cover on the wager
Share your audiobook with friends
Lock-screen control
Customise app with extensive options
Sleep timer with shake to reset, set custom notification sounds, and a few unique options
Auto rewind depending on paused time, customize rewind times to your liking
Removing background noise from recordings made in classrooms and meetings
Changing the timbre of the reader's voice for a better listening experience