100 books like Predictive Analytics

I started my career as a research scientist building machine learning algorithms for weather forecasting. Twenty years later, I found myself at a precision agriculture startup creating models that provided guidance to farmers on when to plant, what to plant, etc. So, I am part of the movement from academia to industry. Now, at Google Cloud, my team builds cross-industry solutions and I see firsthand what our customers need in their data science teams. This set of books is what I suggest when a CTO asks how to upskill their workforce, or when a graduate student asks me how to break into the industry.

I started my career as a research scientist building machine learning algorithms for weather forecasting. Twenty years later, I found myself at a precision agriculture startup creating models that provided guidance to farmers on when to plant, what to plant, etc. So, I am part of the movement from academia to industry. Now, at Google Cloud, my team builds cross-industry solutions and I see firsthand what our customers need in their data science teams. This set of books is what I suggest when a CTO asks how to upskill their workforce, or when a graduate student asks me how to break into the industry.

I started my career as a research scientist building machine learning algorithms for weather forecasting. Twenty years later, I found myself at a precision agriculture startup creating models that provided guidance to farmers on when to plant, what to plant, etc. So, I am part of the movement from academia to industry. Now, at Google Cloud, my team builds cross-industry solutions and I see firsthand what our customers need in their data science teams. This set of books is what I suggest when a CTO asks how to upskill their workforce, or when a graduate student asks me how to break into the industry.

I started my career as a research scientist building machine learning algorithms for weather forecasting. Twenty years later, I found myself at a precision agriculture startup creating models that provided guidance to farmers on when to plant, what to plant, etc. So, I am part of the movement from academia to industry. Now, at Google Cloud, my team builds cross-industry solutions and I see firsthand what our customers need in their data science teams. This set of books is what I suggest when a CTO asks how to upskill their workforce, or when a graduate student asks me how to break into the industry.

Accurate and precise forecasting is essential for successful planning and policy from economics to epidemiology. We have been keen to understand why so many forecasts turn out to be highly inaccurate since making dreadful forecasts ourselves, and advising UK government agencies (Treasury, Parliament, Bank of England) during turbulent periods. As simple extrapolation often beats model-based forecasting, we have been developing improved methods that draw on the best aspects of both, and have published more than 60 articles and 6 books attracting more than 6000 citations by other scholars. Our recommended books cover a wide range of forecasting methods—suggesting there is no optimal way to look into the future.

I'm Somi Arian, a tech philosopher, award-winning filmmaker, author, LinkedIn-Top-Voice, and the founder of InPeak, a Web3 education and professional networking platform. My background in Philosophy of Science and Technology informs my role in society as a 'Transition Architect.' My documentary, The Millennial Disruption, featuring industry leaders, won three international awards. My book, Career Fear (and how to beat it), addresses the future of work and the skills we all need to survive and thrive in the age of Artificial Intelligence and Blockchain. As a speaker, I give talks and workshops internationally on the impact of technology on society, the business landscape, the future of work, Web3, NFTs, the Metaverse, and blockchain technology.

Since completing my PhD in political economy (dissertation: ‘International Integration and Foreign Policy Decision-making’) I have gone deeper into economic origins of change (eg. Modern Inflation, coauthored with well-known economist Wilhelm Hankel in Bologna, Italy at Johns Hopkins SAIS) and find the interactions between economic, politics, and psychology fascinating—presenting an infinite number of ‘Sherlock Holmes-like puzzles’. We are all now confronted with political, economic, and psychological uncertainties, put on high speed due to the war in Ukraine and great power tensions. So it is time to learn about the origins of our problems and their trends in order to better cope and find a basis for individual, if not collective, peace.

I grew up listening to my grandfathers tell stories about the Great Depression (1930s). My cousins would want me to go out and play, but I wanted to stay indoors and listen to the stories. The Depression proved my grandfathers were not the best cotton farmers, but they were good storytellers, and I ended up an economics professor. Along the way, I ran across a thought from renowned British philosopher Francis Bacon: “Histories make men wise, poets, witty, mathematics, subtle;” Modern economics has gone in for subtlety, and maybe is a little too careless of wisdom. This thought sent me delving deeper into economic history, and I ended up writing five books in economics history. 

I found my passion for sustainable mobility while working on my PhD thesis about electric cars at a time when no one was interested in electric cars. I am fascinated by the disruptive forces in the transportation space. With my long-term work experience in management consulting, corporate, academics, and startups, I’m trying to make a contribution to making transport carbon-free.  

Accurate and precise forecasting is essential for successful planning and policy from economics to epidemiology. We have been keen to understand why so many forecasts turn out to be highly inaccurate since making dreadful forecasts ourselves, and advising UK government agencies (Treasury, Parliament, Bank of England) during turbulent periods. As simple extrapolation often beats model-based forecasting, we have been developing improved methods that draw on the best aspects of both, and have published more than 60 articles and 6 books attracting more than 6000 citations by other scholars. Our recommended books cover a wide range of forecasting methods—suggesting there is no optimal way to look into the future.