Machine Learning: Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition)
Kamal Kant Hiran, Ritesh Kumar Jain, Dr. Kamlesh Lakhwani, Dr Ruchi Doshi

Informasi Umum

Kode

21.21.2792

Klasifikasi

006.31 - Machine Learning

Jenis

Buku - Elektronik (E-Book)

Subjek

Machine Learning

No. Rak

4

Informasi Lainnya

Abstraksi

The book offers the readers the fundamental concepts of Machine Learning techniques in a user-friendly language. The book aims to give in-depth knowledge of the different Machine Learning (ML) algorithms and the practical implementation of the various ML approaches.

This book covers different Supervised Machine Learning algorithms such as Linear Regression Model, Naïve Bayes classifier Decision Tree, K-nearest neighbor, Logistic Regression, Support Vector Machine, Random forest algorithms, Unsupervised Machine Learning algorithms such as k-means clustering, Hierarchical Clustering, Probabilistic clustering, Association rule mining, Apriori Algorithm, f-p growth algorithm, Gaussian mixture model and Reinforcement Learning algorithm such as Markov Decision Process (MDP), Bellman equations, policy evaluation using Monte Carlo, Policy iteration and Value iteration, Q-Learning, State-Action-Reward-State-Action (SARSA). It also includes various feature extraction and feature selection techniques, the Recommender System, and a brief overview of Deep Learning.

• TKI4F3 - PEMBELAJARAN MESIN
• CII3C3 - PEMBELAJARAN MESIN
• CPI3C3 - PEMBELAJARAN MESIN
• TEI4N3 - PEMBELAJARAN MESIN DAN APLIKASI
• CII3L3 - PEMBELAJARAN MESIN LANJUT
• TEI6G3 - PEMBELAJARAN MESIN LANJUT
• CPI3L3 - PEMBELAJARAN MESIN LANJUT
• CII7F3 - PEMBELAJARAN MESIN UNTUK SISTEM REKOMENDASI
• CII7F3 - PEMBELAJARAN MESIN UNTUK SISTEM REKOMENDASI

Koleksi & Sirkulasi

Tersedia 1 dari total 1 Koleksi

Pengarang

Nama	Kamal Kant Hiran, Ritesh Kumar Jain, Dr. Kamlesh Lakhwani, Dr Ruchi Doshi
Jenis	Perorangan
Penyunting
Penerjemah

Penerbit

Nama	BPB Publications
Kota	UK
Tahun	2022

Sirkulasi

Harga sewa	IDR 0,00
Denda harian	IDR 0,00
Jenis	Non-Sirkulasi

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