Drawing on the discipline of adult education and his own research into the way people learn, David Heywood explains how churches can become learning communities in which people grow as disciples and find their place in a collaborative pattern of ministry.

Mary Gautreaux and husband Eli have been instrumental in Chi Alpha campus ministries, serving 27 years at Sam Houston State University in Huntsville, Texas. Together, they have led thousands of students to Christ, and have established a ministry based on personal relationships that has raised up scores of young men and woman for service as missionaries, pastors, campus ministers and lay leaders in locations around the world.Her experience as soulwinner, mentor and confidant to new converts makes Mary Gautreaux an ideal candidate to write about needed disciplines in the life of every believer. "Discipline is restoring order to disorder in the mind, body and spirit of a follower of Jesus," she writes. "Discipline is the means to bringing and maintaining godly order in our lives. We must realize that true freedom is not the lack of boundaries. Real freedom comes from consistently living within safe and healthy boundaries."It is these disciplines which help Christians grow and mature in their relationship with Jesus, the author affirms. Learning to control sinful tendencies, put aside wasteful and destructive habits and make God-centered decisions makes any Christian a more effective steward of time, talents and resources-and able to live a more fruitful life for the glory of God.Kingdom Minded by Mary Gautreaux is an excellent tool for self-examination, but is also intended for group study and discussion. It is published in the hope it will be useful to the Body of Christ on college campuses, churches, prisons and jails, military bases-anywhere disciples of Christ feel the stirring to grow deeper and more fruitful in their relationship with God.

The greatest networker in history was Jesus Christ. Beginning with a team of three close friends and a dozen followers, He created an organization that today has over two billion members. Jesus networked for a single purpose: to introduce people to the kingdom of God. No product, service, or personal friendship can meet the needs of people more completely than ushering them into God's rule. Jesus used networking to deliver to humanity the highest level of service that anyone has ever offered. Regardless of your line of work, adopting the Jesus style of networking can take your life and career to a new level. By networking His way, you can achieve greater success in your career or professional life. You can enhance your personal life through building more and better friendships. Learning to network like Jesus will help you make the most of your life for God and for others.

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

This report is part of a series of OECD country reports which review the main barriers to employment for older people and make policy recommendations for further action. This report on the UK finds that, although the labour market has performed well over the past two decades, in common with many OECD countries it is facing a number of major social and economic challenges arising from population ageing. The government has introduced a series of reforms to pensions, social benefits and labour markets to address these issues, but more needs to be done. The report makes a number of recommendations to help develop a comprehensive strategy which covers measures to enhance work incentives embedded in the welfare system, as well as actions on the demand-side. Topics discussed include: demographic trends and potential socio-economic repercussions, the labour market behaviour of older workers, balancing factors of flexibility and hours worked, the UK's retirement system, income security and work incentives for older people.