Tag: Artificial Intelligence

Categories
Artificial Intelligence Education Innovation Reading

Latest Read: Deep Reinforcement Learning


Deep Reinforcement Learning in Action by Alexander Zai.

Deep Reinforcement Learning in Action by Alexander Zai

Alex holds a BS in Chemical Engineering and Biochemistry from the University of California, Los Angeles (UCLA)., where he graduated in 2014. He co-founded Codesmith and led its Data Science and Machine Learning research group. He has also been involved in advancing TensorFlow.js, focusing on enabling browser-level deep learning and computer vision applications. Today Alex is a Machine Learning Engineer at Amazon AI.

Reinforcement Learning (RL) is certainly one of the most intellectually demanding subfields of Machine Learning. Alex takes a very pragmatic approach by writing this book for the developer who wants to understand the “why” engaging with the “how.” He is utilizing PyTorch as the vehicle, providing a clean, Python interface to very complex algorithms.

Humans learn best from feedback. We are encouraged to take actions that lead to positive results. This reinforcement is applied to computer programs allowing them to solve more complex problems. Deep Reinforcement Learning in Action teaches readers how to program AI agents that adapt and improve based on direct feedback from their environment.

Continue reading “Latest Read: Deep Reinforcement Learning”
Categories
Artificial Intelligence Education Innovation Reading

Latest Read: Regular Expression Puzzles

Regular Expression Puzzles and AI Coding Assistants: 24 puzzles solved by the author, with and without assistance from Copilot, ChatGPT and more by David Mertz.

Regular Expression Puzzles and AI Coding Assistants by David Mertz

David holds a PhD in Philosophy from the University of Massachusetts Amherst. He is a leading figure in the Python and data science communities. He is the former Director of the Python Software Foundation.

This book revolves around 24 puzzles that range from basic string manipulation to very complex regular expression (regex) tasks. David is providing his expert solutions in Python. And with the explosion of AI Chatbots, he then prompts GitHub Copilot and ChatGPT to solve the same problems.

These lessons provide insights to enhance your productivity by writing regular expressions. David also offers AI best practices, showing how smart prompts return better results. By the end, you’ll be a master at solving your own Regex puzzles, whether you use AI or not.

Rather than being a traditional, dry academic textbook, he shows the puzzles in a “man vs. machine” competition. This is perhaps a modern AI version of the song Big John in American folklore..

Continue reading “Latest Read: Regular Expression Puzzles”
Categories
Artificial Intelligence Education Innovation Reading

Latest Read: Creepy Analytics

Creepy Analytics: Avoid Crossing the Line and Establish Ethical HR Analytics for Smarter Workforce Decisions by Salvatore V. Falletta.

Creepy Analytics: Avoid Crossing the Line and Establish Ethical HR Analytics for Smarter Workforce Decisions by Salvatore V. Falletta

Salvatore holds a EdD in Human Resource Development from North Carolina State University and a Master of Public Administration with a specialty in HR and Organization Development from Indiana State University. He previously served as Vice President and Chief Human Resources Officer for Atmel Corporation and held leadership HR roles at Intel, SAP, and Sun Microsystems. Today Salvatore is a Professor of the Practice at Vanderbilt University.

Salvatore is revealing while AI can certainly augment an HR Recruiter’s efficiency, it simply cannot operate in a vacuum. Similar to many authors, a Human In The Loop (HITL) is absolutely mandatory to prevent a datafication of people from turning into surveillance.

Similarly, his golden rule is that AI should never make a final workforce decision alone. This is understood as ‘Augmentation, Not Replacement’ AI should be used to scan thousands of resumes, but human recruiters must provide the final judgment.

Continue reading “Latest Read: Creepy Analytics”
Categories
Artificial Intelligence Education Reading

Latest Read: The Predictive Edge

The Predictive Edge: Outsmart the Market using Generative AI and ChatGPT in Financial Forecasting by Alejandro Lopez-Lira.

The Predictive Edge: Outsmart the Market using Generative AI and ChatGPT in Financial Forecasting by Alejandro Lopez-Lira

Alejandro holds a MA and PhD in Finance from the University of Pennsylvania.Today he is an Assistant Professor of Finance at the University of Florida.

In the AI-accelerated landscape of financial technology, he is taking a view that legacy quantitative methods face diminishing returns. So here, a new “predictive edge” in Large Language Models has arrived. Perhaps a mix of theory and practice for integrating AI into your investment strategies.

Financial forecasting traditionally relied on structured data: price charts, earnings ratios, and trading volumes. Alejandro is now showing the market’s greatest inefficiency resides in unstructured data. Every day a large volume of news, earnings call transcripts, and regulatory filings have broken those legacy forecasting models. Enter ChatGPT and LLMs which hold the ability to process and perform sentiment analysis at a scale previously impossible.

Continue reading “Latest Read: The Predictive Edge”
Categories
Education Innovation Reading

Latest Read: The Upside of Disruption

The Upside of Disruption: The Path to Leading and Thriving in the Unknown by Terence Mauri.

The Upside of Disruption: The Path to Leading and Thriving in the Unknown by Terence Mauri

Terence is the founder of Hack Future Lab. He is a former Director at Saatchi & Saatchi and McKinsey, and columnist for Inc. Magazine’s Future Proof column. He is Entrepreneur Mentor in Residence at the Massachusetts Institute of Technology and a visiting professor at both IE Business School in Spain and an Entrepreneur Mentor in Residence at London Business School.

Terence is introducing the “fail principle” and seeking to move organizations to relook at failure as a source of data and resilience. He sees failure as a source of innovation.

Organizational leaders who embrace this will not only survive disruption but leverage this for long?term value creation. Terence is sharing his key message of “unlearning” by stating “good leaders learn, but great leaders unlearn.”

So Unlearning must be a deliberate act by leadership. This including challenging assumptions, removing obsolete processes and introducing new behavioral models. The major obstacle to agility is the organization’s culture.

Continue reading “Latest Read: The Upside of Disruption”