20.21.1521
004 - Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika, Hardware Komputer
Buku - Elektronik (E-Book)
Informatics, Computer Science,
Tel-U Gedung Manterawu Lantai 5 : Rak 1
Tel-U Purwokerto : Rak 1
197 kali
This book is based on 25 years of learning and experience working in data analytics. Many things have changed during that time, but I am forever indebted to the great managers I served under for their leadership, inspiration, and coaching. I hope to grow others in the same way
Unfortunately, the lack of maturity means there is plenty of evidence that despite heavy investment in data science returns have not been uniformly positive and the majority of organizations fail to create business value from their investments in data. According to Forrester Research, only 22% of companies are currently seeing a significant return from data science expenditures.1 Most data science implementations are either laptop-based research projects that never impact customers, local applications that are not built to scale for production workflows, or high-cost IT projects.
Despite high failure rates, prescriptions and discussions remain the same. Many data scientists talk about how to create machine learning or AI models, but not many speak about getting them into production, a live reliable operational environment that serves customers. Algorithms are just the tip of the iceberg when it comes to creating business and customer value from data.
Tersedia 1 dari total 1 Koleksi
Nama | Harvinder Atwal |
Jenis | Perorangan |
Penyunting | |
Penerjemah |
Nama | Apress |
Kota | New York |
Tahun | 2020 |
Harga sewa | IDR 0,00 |
Denda harian | IDR 0,00 |
Jenis | Non-Sirkulasi |