The The Supervised Learning Workshop: A New, Interactive Approach to Understanding Supervised Learning Algorithms, 2nd Edition

Author:   Blaine Bateman ,  Ashish Ranjan Jha ,  Benjamin Johnston ,  Ishita Mathur
Publisher:   Packt Publishing Limited
Edition:   2nd Revised edition
ISBN:  

9781800209046


Pages:   490
Publication Date:   28 February 2020
Format:   Paperback
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Our Price $72.42 Quantity:  
Add to Cart

Share |

The The Supervised Learning Workshop: A New, Interactive Approach to Understanding Supervised Learning Algorithms, 2nd Edition


Add your own review!

Overview

Full Product Details

Author:   Blaine Bateman ,  Ashish Ranjan Jha ,  Benjamin Johnston ,  Ishita Mathur
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
Edition:   2nd Revised edition
ISBN:  

9781800209046


ISBN 10:   1800209045
Pages:   490
Publication Date:   28 February 2020
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Fundamentals of Supervised Learning Algorithms Exploratory Data Analysis and Visualization Linear Regression Autoregression Classification Techniques Ensemble Modeling Model Evaluation

Reviews

Author Information

Blaine Bateman has more than 35 years of experience working with various industries from government R&D to startups to $1B public companies. His experience focuses on market/business analytics including machine learning and forecasting. His hands-on abilities include R coding, Keras, AWS & Azure machine learning, Office suite, writing, market research, due diligence, and employee development and training. Ashish Ranjan Jha has more than 4 years of experience in data science and machine learning ranging from building data ingestion and cleaning pipelines, exploratory data analysis, classic machine learning modeling and deep learning, to deploying models into production systems. He uses the Python ecosystem, Pandas, Spark, and Dask for data crunching, Sklearn for classical machine learning, and Keras, Tensorflow, and Pytorch for deep learning. Benjamin Johnston is a senior data scientist for one of the world's leading data-driven medtech companies and is involved in the development of innovative digital solutions throughout the entire product development pathway, from problem definition to solution research and development, through to final deployment. He is currently completing his PhD in machine learning, specializing in image processing and deep convolutional neural networks. He has more than 10 years' experience in medical device design and development, working in a variety of technical roles, and holds first-class honors bachelor's degrees in both engineering and medical science from the University of Sydney, Australia. Ishita Mathur has worked as a data scientist for 2.5 years with product-based start-ups working with business concerns in various domains and formulating them as technical problems that can be solved using data and machine learning. Her current work at GO-JEK involves the end-to-end development of machine learning projects, by working as part of a product team on defining, prototyping, and implementing data science models within the product. She completed her masters' degree in high-performance computing with data science at the University of Edinburgh, UK, and her bachelor's degree with honors in physics at St. Stephen's College, Delhi.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List