AI adalah sains dan kejuruteraan membuat mesin pintar, terutamanya program komputer pintar. Bentuk AI yang lengkap adalah Kecerdasan Buatan. Kecerdasan buatan wujud apabila mesin mempunyai kemampuan kognitif. Tanda aras untuk AI adalah tahap manusia mengenai penalaran, pertuturan, dan visi.
Berikut adalah senarai Buku AI Terpopulasi yang seharusnya menjadi sebahagian daripada pemula hingga perpustakaan Pelajar Sains Data maju.
1) Kecerdasan Buatan Untuk Dummies
Artificial Intelligence adalah sebuah buku yang ditulis oleh John Paul Mueller dan Luca Massaron. Buku ini memberikan pengenalan yang jelas mengenai AI dan bagaimana ia digunakan hari ini.
Di dalam buku ini, anda akan mendapat gambaran keseluruhan mengenai teknologi. Ia juga membincangkan mengenai kesalahpahaman umum di sekitarnya. Buku ini meneroka penggunaan AI dalam aplikasi komputer, skop, dan sejarah AI.
Periksa Harga Terkini dan Ulasan Pengguna di Amazon2) Buat Rangkaian Neural Anda Sendiri
Buku rujukan Kecerdasan Buatan ini adalah perjalanan langkah demi langkah melalui matematik rangkaian saraf dan membuat sendiri menggunakan bahasa komputer Python.
Buku rujukan ini membawa anda dalam perjalanan yang menyeronokkan dan tidak tergesa-gesa. Buku ini dimulakan dengan idea yang sangat sederhana, dan secara beransur-ansur membina pemahaman tentang bagaimana rangkaian saraf berfungsi. Dalam buku ini, anda juga akan belajar membuat kod di Python dan menjadikan rangkaian saraf anda untuk menawarkan rangkaian yang dikembangkan secara profesional.
Periksa Harga Terkini dan Ulasan Pengguna di Amazon3) Kepintaran
Superintelligence adalah buku rujukan ideal yang ditulis oleh Stuart Russell dan Peter Norvig. Buku ini adalah pengenalan teori dan praktik subjek AI yang paling komprehensif dan terkini.
Buku AI ini membawa pembaca mengetahui teknologi terkini, mengemukakan konsep dengan cara yang lebih bersatu. Buku ini juga menawarkan pembelajaran mesin, pembelajaran mendalam, sistem pemindahan pelbagai agen, robotik, dll.
Periksa Harga Terkini dan Ulasan Pengguna di Amazon4) Kecerdasan Buatan: Pendekatan Moden
Buku ini menawarkan teori konsep asas kecerdasan buatan. Ia berfungsi sebagai bahan rujukan lengkap untuk pemula. Ia membantu pelajar dalam kursus peringkat sarjana atau siswazah dalam Artificial Intelligence.
Edisi ini memberi anda maklumat terperinci mengenai perubahan yang telah berlaku dalam bidang kecerdasan buatan dari edisi terakhirnya. Terdapat banyak aplikasi penting teknologi AI seperti penggunaan pengenalan ucapan praktikal, terjemahan mesin, robot isi rumah yang dijelaskan secara terperinci.
Periksa Harga Terkini dan Ulasan Pengguna di Amazon5) Mesin Kecerdasan Buatan: Tutorial Pengenalan Matematik Pembelajaran Dalam
Artificial Intelligence Engines adalah sebuah buku yang ditulis oleh James V Stone. Buku ini menerangkan bagaimana algoritma AI, dalam bentuk rangkaian saraf dalam. Ini dengan cepat menghilangkan kelebihan itu. Jaringan neural dalam digunakan untuk banyak aplikasi perniagaan seperti diagnosis barah, pengenalan objek, pengecaman pertuturan, kawalan robot, catur, poker, dll.
Dalam buku ini, algoritma pembelajaran rangkaian neural utama dijelaskan, diikuti dengan analisis matematik terperinci.
Periksa Harga Terkini dan Ulasan Pengguna di Amazon6) Kehidupan 3.0: Menjadi Manusia pada Zaman Kecerdasan Buatan
Kehidupan 3.0: Menjadi Manusia pada Zaman Kecerdasan Buatan adalah sebuah buku yang ditulis oleh Max Tegmark. Buku ini membincangkan mengenai peningkatan AI bagaimana ia berpotensi mengubah masa depan kita lebih daripada teknologi lain.
Buku ini juga merangkumi pelbagai sudut pandangan atau isu yang paling kontroversial. Ia membicarakan makna, kesedaran, dan had fizikal akhir hidup di alam semesta.
Periksa Harga Terkini dan Ulasan Pengguna di Amazon7) Pembelajaran Mesin Untuk Pemula Mutlak
Pembelajaran Mesin Untuk Pemula Mutlak adalah buku yang ditulis oleh Oliver Theobald. Buku ini merangkumi bab seperti Apa itu pembelajaran mesin, jenis pembelajaran mesin, kotak alat pembelajaran mesin, penyusunan data yang menyiapkan data anda, analisis regresi. Buku ini juga merangkumi pengelompokan, mesin vektor sokongan, rangkaian saraf tiruan, Membangun model di Python, dll. Ia merangkumi algoritma seperti Pengesahan Silang, Pemodelan Ensemble, Pencarian Grid, Kejuruteraan Ciri, dan Pengekodan Satu Panas.
Periksa Harga Terkini dan Ulasan Pengguna di Amazon8) Pembelajaran mendalam digambarkan
Deep Learning Illustrated adalah buku AI yang ditulis oleh Jon Kohn, Grant Beyleveld, dan Aglae Basens. Buku ini membincangkan banyak kemampuan kecerdasan buatan baru dan prestasi algoritma. Pembelajaran mendalam digambarkan dan menawarkan pengenalan lengkap mengenai teknik disiplin.
Buku ini dapat berfungsi sebagai panduan rujukan praktikal untuk pembangun, penyelidik, penganalisis, dan pelajar yang ingin menerapkannya.
Periksa Harga Terkini dan Ulasan Pengguna di Amazon9) Analisis Ramalan Untuk Dummies
Predictive Analytics For Dummies adalah buku yang ditulis oleh Anasse Bari, Mohamed Chaouchi, dan Tommy Jung. Dengan bantuan buku rujukan ini, anda akan belajar mengenai inti analitik ramalan.
The book offers some common use cases to help you get started. It also covers details on modeling, k-means clustering. The book also provides tips on business goals and approaches.
Check Latest Price and User Reviews on Amazon10) Data Science from Scratch: First Principles with Python
Data Science from Scratch is a book written by Joel Gurus. This book helps you to learn math and statistics that is at the core of data science. You will also learn hacking skills you need to get started as a data scientist.
The books include topics like implement k-nearest neighbors, naïve bayes, linear and logistic regression, decision trees, and clustering models. You will also able to explore natural language processing, network analysis, etc.
Check Latest Price and User Reviews on Amazon11) Hands-On Machine Learning
Hands-On Machine Learning is a book written by Aurélien Géron. The book helps you gain an intuitive understanding of the concepts and tools for building intelligent systems.
This reference material also teaches you techniques, starting with simple linear regression and progressing to deep neural networks. In this book, you will also explore several training models, including support vector machines, decision trees, random forests, and ensemble methods. You can also learn techniques for training and scaling deep neural networks.
Check Latest Price and User Reviews on Amazon12) Applied Artificial Intelligence: A Handbook For Business Leaders
Applied Artificial Intelligence is a book written by Mariya Yao, Adelyn Zhou, and Marlene Jia. This book is a practical guide for business leaders who are passionate about leveraging machine intelligence. This helps you to enhance the productivity of their organizations and the incase the quality of life in their communities. The book also helps you to take business decisions through applications of AI and machine learning.
Check Latest Price and User Reviews on Amazon13) Prediction Machines: The Simple Economics of Artificial Intelligence
Prediction Machines is a book written by Ajay Agrawal, Joshua Gans, and Avi Goldfarb. The book talks about the heart of making decisions under uncertainty. It also explains how prediction tools increase productivity-- operating machines, handling documents, communicating with customers. In the end, the book discusses how better prediction creates opportunities for new business structures.
Check Latest Price and User Reviews on Amazon14) Human + Machine: Reimagining Work in the Age of AI
Human + Machine: Reimagining Work in the Age of AI is a book written by Paul R. Daugherty and H. James Wilson. The book talks about the essence of the AI paradigm, which helps you to shift is the transformation of all business processes inside a single organization.
The book explains how companies are using the new rules of AI to leap ahead on innovation. It also describes six entirely new types of hybrid human + machine roles that every company must develop.
Check Latest Price and User Reviews on Amazon15) Architects of Intelligence: The truth about AI from the people building it
Architects of Intelligence contain a series of in-depth, one-to-one interviews where the author, Martin Ford, reveals the truth behind these questions. He has given thoughts of the brightest minds in the Artificial Intelligence community.
This AI book helps collects the opinions of the luminaries of the AI business, Like Stuart Russell, Rodney Brooks, Demis Hassabis, and Yoshua Bengi. You should read this book to get in-depth knowledge and the future of the AI field.
Check Latest Price and User Reviews on Amazon16) Artificial Intelligence for Humans: Fundamental Algorithms
Artificial Intelligence for Humans is a book written by Jeff Heaton. In this AI book, you will learn about the basic Artificial Intelligence algorithms. Like dimensionality, clustering, error calculation, hill climbing, Nelder Mead, and linear regression.
This Artificial Intelligence book explains all algorithms using actual numeric calculations that you can perform yourself. Every chapter in this book includes a programming example. Examples are currently provided in Java, C#, Python, and C. Other languages planned.
Check Latest Price and User Reviews on Amazon17) HBR's 10 Must Reads on AI, Analytics, and the New Machine Age
HBR's 10 Must Reads on AI, Analytics, and the New Machine Age is a book written by Micheal E. Porter, Thomas H. Davenport, Paul Daugherty, H. James Wilson.
The book combed through hundreds of Harvard Business Review articles and selected the most important ones. This book helps you to understand various AI consent and how to adopt them.
In this book, you will learn data science, driven by artificial intelligence and machine learning. It also covers chapters about the blockchain and Augmented reality.
Check Latest Price and User Reviews on Amazon18) TensorFlow in 1 Day: Make your own Neural Network
TensorFlow is the most popular Deep Learning Library available in the market. It has a most authentic graph computations feature which helps you to visualize and designed neural network. This useful Machine learning book offers both convolutions as well as Recurrent Neural network.
Machine learning models supported by TensorFlow like Deep Learning Classification, Boston Tree, and wipe & deep layer methods are covered in the book. The book includes complete professional deep learnings practices with detailed examples.
Check Latest Price and User Reviews on Amazon19) Deep Learning (Adaptive Computation and Machine Learning series)
This deep learning book offers a mathematical and conceptual background, and relevant concepts in linear algebra, probability and information theory, and machine learning.
The book describes many important deep learning techniques widely used in industry, which includes regularization, optimization algorithms, sequence modeling. This book also offers research-related information like linear factor models, autoencoders, structured probabilistic models, the partition function, etc.
Check Latest Price and User Reviews on Amazon20) Python Machine Learning, 1st Edition
Python Machine Learning book gives you access to the world of predictive analytics. It helps you to learn the best practices and methods to improve and optimize machine learning systems and algorithms.
Wants to find out how to use Python? Then you should pick up Python Machine Learning. The book helps you to get started from scratch, or helps you to extend your data science knowledge.
Check Latest Price and User Reviews on Amazon21) Deep Learning with R
Deep Learning with R introduces you to a universe of deep learning using the Keras library and its R language interface. It is written for Python as Deep Learning with Python by Keras creator and Google.
The books help you set up your deep-learning environment. You can also practice your new skills with R-based applications in computer vision, natural language processing, and generative models. Moreover, to learn this course, you don't need any previous experience of machine learning or deep learning.
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