Applying AI to your stock market analysis and prediction process involves gaining a basic understanding of AI and machine learning, acquiring some practical coding skills, understanding data preprocessing, and learning how to use specific AI tools and platforms. Here is a step-by-step guide:
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Learn the Basics of AI and Machine Learning: Before you start, it’s crucial to have a good grasp of the fundamentals of AI and machine learning. Numerous online courses on platforms like Coursera, edX, and Udacity can help you with this. Look for courses tailored for beginners, such as Andrew Ng’s Machine Learning course on Coursera.
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Learn to Code: Python is often the language of choice for AI and machine learning due to its simplicity and the availability of numerous relevant libraries like pandas for data manipulation, NumPy for numerical computations, and sci-kit-learn for machine learning. There are many resources online to learn Python, including Codecademy, Udemy, and edX.
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Understand Data Preprocessing: AI and machine learning models require data to be in a specific format. You’ll need to learn how to preprocess data, which can involve cleaning (handling missing data, removing outliers), transforming (normalizing or scaling data), and encoding (converting categorical data to numerical data).
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Learn AI Tools and Platforms: Tools like TensorFlow and PyTorch are widely used for building and training AI models. Platforms like Google’s Cloud AutoML and Microsoft’s Azure Machine Learning make building, training, and deploying machine learning models easier, even without extensive coding knowledge.
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Specific Financial Machine Learning Knowledge: Once you’ve got the basics down, you can focus on financial-specific applications. Courses like “Machine Learning for Trading” offered by Udacity can help you understand how to apply your new skills to the stock market.
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Work on Projects: The best way to learn is by doing. Try to work on projects that involve real stock market data. This could start as simple as predicting future stock prices based on historical data, then gradually increase in complexity, like incorporating sentiment analysis from financial news.
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Stay Up-to-date: The field of AI is continuously evolving. Staying current with the latest research and developments is crucial. Websites like arXiv, Towards Data Science, and Medium have many articles on the latest in AI and machine learning.
Applying AI to stock market prediction is complex, and the results are never guaranteed. Financial markets are influenced by many factors, many of which are difficult to quantify and predict. AI should be used as a tool to aid in your analysis, not as a standalone solution.
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However, I can guide you on how to find these courses.
Here’s how you can do it:
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Coursera:
You can search Coursera’s website for “Andrew Ng’s Machine Learning.” Andrew Ng’s course is one of the most popular introductory courses on machine learning, and it’s perfect for beginners.
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edX:
For edX, you could look for Harvard University’s CS50’s Introduction to Artificial Intelligence with Python. This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. You can search for this course in the search bar on the edX website.
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Udacity:
Udacity offers an “Intro to Machine Learning with PyTorch and TensorFlow” nano degree program. It’s a great place to start if you’re new to the field. You can find this course by going to Udacity’s website and searching for “Intro to Machine Learning.”
Keep in mind that these platforms might have updated their courses since my last training data in September 2021. Therefore, check the course details, syllabus, and user reviews before enrolling.
Also, while some courses are free to audit, you might have to pay for certain features like graded assignments or earning a certificate.
The term artificial intelligence describes a field in computer science that refers to computers or machines being able to simulate human intelligence to perform tasks or solve problems. Within our lifetimes, artificial intelligence (AI) will have altered our world more significantly and faster than any other technology since the discovery of electricity.
Whenever new technologies seem likely to influence the cultural zeitgeist, folks start making wildly wrong predictions like the one about the smartphone from former Intel CEO Andy Grove (see above). Some of the worst tech predictions in the past 100 years include:
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The President of Western Union in 1876 said, “This ‘telephone’ has far too many shortcomings to be taken seriously as a means of communication. It has objectively no value.”
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The President of the Michigan Savings Bank told Henry Ford’s lawyer in 1903, “The automobile is a fad, a novelty. Horses are here to stay.”
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Film producer and 20th Century Fox movie executive Darryl Zanuck stated in 1946, “Television will never hold onto an audience. People will very quickly get bored of staring at a plywood box every night”.
In the early 2000s nobody thought that 20 years later, social media would lead to an increase in teenage girls cutting themselves or being the fuel to encourage insurrectionists to storm the Capitol. Still, our institutions – governments, academia, business, and philanthropy — failed to address legitimate concerns about this technology before it became a problem.
Ignoring, fighting, and failing to prepare for the coming inevitable ubiquity of artificial intelligence will make it harder for society to ensure we take advantage of this technology rather than it taking advantage of us.
In the 80s we learned that “knowing is half the battle” from the public service announcements brought to us by the characters in the HASBRO cartoon G.I. Joe. The first step to ensuring that human intelligence reigns supreme is understanding artificial intelligence and its capabilities.
What Does AI Stand For, and What Are Its Capabilities?
AI stands for artificial intelligence, and its capabilities are hard to keep up with because the field is rapidly advancing. Artificial intelligence is all about the possibility of machines that can reason and learn independently. AI has already started playing a major role in healthcare, transportation, and finance tasks. Its capabilities allow it to make decisions like those a human brain might make but at a much faster rate by analyzing large amounts of data in a short period. This gives AI the potential to detect and predict diseases, revolutionize traffic conditions, and optimize stocks effectively. AI can also offer greater accuracy, improving processes and raising efficiency levels significantly.
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The Open Internet is Over
Here are 5 free AI classes you can take online from top tech firms, universities
BY SYDNEY LAKEMarch 28, 2023, 11:53 AM
GOOGLE HEADQUARTERS IN MOUNTAIN VIEW, CALIFORNIA, AS SEEN IN JANUARY 2023. (PHOTOGRAPHER: MARLENA SLOSS—BLOOMBERG/GETTY IMAGES)
The emergence of ChatGPT—a chatbot powered by artificial intelligence (AI)—is a prime example of how emerging technologies can quickly change the world. In fact, ChatGPT is set to become one of the fastest-growing apps of all-time; within five days of its November 2022 launch, it hit more than 1 million users, according to previous reporting by Fortune.
As AI-powered apps and other technologies take the world by storm, the demand continues to rise for tech workers with these specialized skills. The number of job postings requesting AI skills is projected to increase by 297% during the next two years, according to Emsi Burning Glass, a market research firm. There were roughly 142,000 openings that listed AI skills as of January 2022, with median salaries of about $103,000, according to Dice.
Although the demand for these jobs continues to rise, there aren’t enough skilled workers to fill these positions. Only one in 10 workers report they have the education qualifications or career background to fill an AI job, a March 2023 report by Salesforce shows.
“There’s a disconnect between the skills companies are hiring for and those currently used by the workforce,” according to the study. “While four in five global workers report using digital skills in their day-to-day work, few report skills beyond collaboration technology, digital administration, and digital project management.”
While there are full-fledged AI degree programs—namely, a new master’s program in AI launched by the University of Texas-Austin—though some people may be more keen on a do-it-yourself route. If you’re interested in learning more about this in-demand field, several top tech firms and universities offer free online courses that serve as an introduction to AI technologies. Fortune has compiled a list of five online courses that are free to complete.
1. University of Pennsylvania: AI for Business
For someone who may be looking to break into AI or who wants to learn more about the applications of this new technology to different industries, the University of Pennsylvania offers a string of courses focused on artificial intelligence. The AI for Business specialization includes four courses:
- AI Fundamentals for Non-Data Scientists
- AI Applications in Marketing and Finance
- AI Applications in People Management
- AI Strategy and Governance.
These beginner courses take a total of about four months to complete and culminate in an applied learning project. Program participants complete peer-reviewed exercises to illustrate what they’ve learned about data analytics, machine learning tools, and people management. The specialization is taught by eight UPenn professors from the Wharton School, a top-ranked business school by Fortune, and other professors from the university. The courses are offered through online education platform Coursera, and students can earn a certificate that can be displayed on their LinkedIn profile.
2. Google: Google AI for Everyone
Google offers a beginner course for anyone who may be interested in how AI is being used in the real world. Google AI for Everyone, which is offered through online education platform EdX, is a self-paced course that takes about four weeks to complete, assuming you dedicate two-to-three hours per week to the course. Participants learn about both AI and machine learning principles and real-world applications of the technologies.
Google also covers what AI programming looks like and the process of teaching a computer how to learn. The course is taught by Laurence Moroney, who leads AI Advocacy at Google, and works on the Google Research into Machine Intelligence (RMI) team. Nearly 12,000 people have enrolled in this free online course, according to EdX.
3. University of California—Davis: Big Data, Artificial Intelligence, and Ethics
As part of its Computational Social Science specialization through Coursera, the University of California—Davis offers a course focused on AI: Big Data, Artificial Intelligence, and Ethics. During this four-week course, participants learn about big data and its limitations, the history of artificial intelligence, and research ethics. The entire course takes about 13 hours to complete.
The course is taught by Martin Hilbert, who is a professor at UC Davis and serves as a chair for computational social science. The course uses case studies to help participants learn AI concepts. So far, more than 23,000 participants have completed this course, and those who do earn a certificate that can be shared on LinkedIn.
4. Harvard University: Introduction to Artificial Intelligence with Python
If you’re one of the 4.3 million people who has taken Harvard University’s CS50 Introduction to Computer Science course through EdX, then the university’s introductory AI class might be the best option for you. CS50, which is one of the most popular free online courses of all time, is a prerequisite for Harvard’s Introduction to Artificial Intelligence with Python course.
This seven-week course covers AI algorithms, game-playing engines, handwriting recognition, and machine translation. Students have to commit between 10 and 30 hours per week to complete the course, which includes hands-on projects and lectures. The course is taught by David J. Malan, a renowned computer scientist and Harvard professor.
5. IBM: AI Foundations for Everyone
IBM, which is recognized as a revolutionary leader in emerging technologies, offers an AI Foundations for Everyone specialization through Coursera. The specialization includes three courses:
- Introduction to Artificial Intelligence (AI)
- Getting Started with AI using IBM Watson
- Building AI Powered Chatbots Without Programming.
The entire specialization takes about three months to complete, assuming you dedicate two hours per week to coursework. Students will learn the basics of what AI is, as well as its applications and ethical concerns. They’ll also hear from experts about starting a career in AI. The program is taught by Rav Ahuja and Antonio Cangiano, who work for IBM’s Skills Network. Participants earn a certificate upon completion.
Check out all of Fortune’s rankings of degree programs, and learn more about specific career paths.
Artificial Intelligence Versus Machine Learning
Artificial intelligence refers to the broader field of creating machines that can perform tasks that typically require human intelligence, such as reasoning, problem solving, and natural language processing. Machine learning (ML) is a subset of AI and computer science that focuses on using algorithms to learn from data to make predictions or decisions.
ML often makes use of neural networks as a way of modeling complex patterns in data. A neural network is modeled after the structure and function of the human mind and can be trained on large data sets to recognize patterns and make predictions. Machine learning is one aspect of AI, but not all AI systems use machine learning.
The Science of AI – Deep Learning Techniques
Photo: Image of a cat dataset used in deep learning, Jason Brownlee – Machine Learning Mastery
The breakthrough that put artificial intelligence on its current trajectory was a type of machine learning called “deep learning.” AI systems use tons of data from a specific domain to recognize patterns and correlations linked to a desired outcome. If you feed AI algorithms using deep learning one million images labeled “cat” and one million images labeled “not cat,” they will be able to draw on its extensive network of correlations, many unseen or undetectable by a human being, to determine whether a new image is a cat or not.
This technique of deep learning is what enables “computer vision” – a computer being able to look at an image and understand what’s in it. It also allows for “speech recognition” – a computer being able to understand human language – like when you talk to Siri on your iPhone.
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How We Are Already Using Autonomous AI Systems
Photo: Results of a survey on Artificial Intelligence of subscribers to “The Brief,” (January 20, 2023)
During my time in the House of Representatives when I hosted the first hearings in the history of Congress on artificial intelligence, it was easy to see how AI would transform the nature of work and affect every aspect of the economy. Right now, grocery store cashiers are being replaced by automated systems. We have AI assisted robotic surgery. Computer systems are using software written by AI. Factories are using robots that use AI technologies to work alongside humans. Many folks are unaware that they are already using AI tools in several of the following ways:
- Virtual assistants: Siri, Alexa, and Google Assistant are all powered by AI. These virtual assistants use natural language processing to understand what we say and respond accordingly. AI is also being used in banking and healthcare to power chatbots, which answer customer queries and provide information without the need for human intervention.
- Recommendation engines: Netflix, Amazon, and YouTube all use AI to make recommendations for what we might like to watch, read, or listen to based on our past behavior. AI is used to power features like Facebook’s newsfeed algorithm, which determines what content we see on our feeds.
- Autonomous driving: Self driving cars use AI to understand and navigate the world around them. This includes tasks like recognizing traffic signs, pedestrians, and other vehicles.
- Medical imaging: AI and machine learning is being used to help doctors analyze medical images, such as X-rays and CT scans, to detect and diagnose diseases.
- Drug development: AI is being used to help identify and develop new medications, by analyzing vast quantities of data to identify potential drug targets.
- Fraud detection: Banks are using AI to detect fraudulent activity, such as credit card fraud or money laundering.
- How AI ATMS work: AI capabilities have been embedded into bank ATMs to forecast demand more precisely and tell the banks when they must restock the ATMs so customers are always able to get cash out of the machine.
AI in the workplace will only continue to grow.
Asking AI Questions: The Dos and Don’ts
Photo: Screen capture of OpenAI CEO Sam Altman’s Twitter Feed (December 10, 2022)
One of the things increasing the public’s consciousness of the power of AI is a tool called ChatGPT. GPT is short for “Generative Pre-training Transformer” and is a language model developed by the San Francisco based company OpenAI. ChatGPT is trained to generate text that is similar to human-written language, and it can be fine-tuned for a variety of language generation tasks such as translation, question answering, and summarization.
In early 2023, the New York City Department of Education banned access to ChatGPT over fears “it could harm students’ education and in order to help prevent cheating.”
In an interview with StrictlyVC, OpenAI CEO Sam Altman sympathized with educators’ concerns and is already working on testing watermarks on GPT’s responses and other techniques to curb plagiarism. However, he added,
Generative text is something we all need to adapt to. We adapted to calculators and changed what we tested for in math class. This is a more extreme version of that, no doubt, but also the benefits of it are more extreme, as well.
Additionally, culture warriors and trolls are using ChatGPT as a platform to reinforce their own beliefs or criticize beliefs with which they disagree. Ultimately an AI system that uses machine learning and deep learning is trained on large datasets of conversations to be able to handle a wide variety of topics and viewpoints.
While chatbots may sometimes reflect the biases of the data they are trained on, they are not inherently liberal or conservative, and can be manipulated to produce any kind of response intended by the user.
If you are asking AI questions, remember to use specific and concise language to increase the likelihood of getting a relevant response, and don’t expect the chatbot to be a substitute for human interaction. Understand its limitations and use it as a tool to speed up getting answers or assistance.
AI of the Future: Will it Change the Way We Live and Work?
Photo: Title shot of the Hanna-Barbera cartoon The Jetsons, originally aired in 1962 but took place 100 years in the future in 2062.
Many of the examples of artificial intelligence used in this article are examples of “narrow AI” — artificial intelligence systems designed for a specific task like recognizing faces in photographs, understanding language, or predicting outcomes in financial markets. However Artificial General Intelligence (AGI) is something different. AGI is a highly autonomous system that outperforms humans at most economically valuable work.
While we are far from a future portrayed in the cartoon The Jetsons, Intelligent machines that are powered by artificial general intelligence will wipe out a significant number of jobs — white collar, blue collar and no collar — up and down the economic ladder. In his brilliant book AI Super-Powers, Kai-Fu Lee explains how accountants, assembly line workers, warehouse operators, stock analysts, quality control inspectors, truckers, paralegals, and even radiologists are some examples of the types of careers to be impacted by AI.
This impact on the future of work will be accompanied by a significant concentration of wealth in the hands of a few AI tycoons.
The Benefits of Artificial Intelligence and How It Can Improve Our Lives
While its potential for taking over jobs is evident and concerning, AGI will revolutionize many industries, create new kinds of jobs, and make life much easier for us humans in the long term. In 2017, PricewaterhouseCoopers estimated:
AI deployment could contribute up to $15.7 trillion to the global economy in 2030, more than the current output of China and India combined. Of this, $6.6 trillion is likely to come from increased productivity and $9.1 trillion is likely to come from consumption side effects.
What Artificial Intelligence Movies Get Right and Wrong
Talking about machine intelligence, machine learning, self-driving cars, computer vision, and speech recognition can seem like a page straight out of science fiction. Science fiction has long served a dual purpose, entertaining us with wild adventures and presenting thoughtful commentary on the ways in which our actions can shape and influence the future.
Sci-fi serves as a reminder to us that while technology changes constantly, we should also remain mindful of how this progress will impact humanity’s very identity as a species. Here are three sci fi movies that are often referenced when it comes to artificial intelligence:
- Matrix 3 (2003) – In this trilogy, the humans and the AI machines are in a tense standoff, with the humans trapped in the virtual reality of the Matrix while the machines harvest their energy. However, in the third film, when a new threat in the form of Agent Smith emerges, the humans and the machines are forced to work together to stop him.
- I, Robot (2004) – This action movie, inspired by the Isaac Asimov short story collection of the same name, imagines a future in which robots are commonplace and a part of everyday life. However, when they start to exhibit dangerous behavior, the protagonist must figure out what is going on.
- Ex Machina (2014) – In this thriller, a scientist invites an employee to his secluded estate to participate in a test with a humanoid robot. The film explores the concept of artificial intelligence passing the “Turing Test” (the ability of a computer system to convincingly imitate human conversation).
Matrix 3 gets the potential for humans and AIworking together to solve difficult challenges. I, Robot correctly predicts that robots will become more and more commonplace in our lives. Ex Machina accurately portrays the potential for artificial intelligence to pass the Turing Test and convincingly imitate human conversation.
One thing these movies all share is the level of AI advancement depicted as well beyond any realities of what we can currently achieve.
The Risks and Dangers Associated with Artificial Intelligence and How We Can Mitigate These Risks
AI technology becoming more sophisticated and ubiquitous has been met with increasing public concern over the rapid development of artificial intelligence and its potential impact on society. There is a growing need for legislators to consider how best to regulate this new field since AI technology poses several ethical concerns, including the potential for misuse by governments and corporations, and the need to protect the privacy of individuals.
TikTok Lawsuit Highlights How AI Is Potentially Going to Influence Our Lives
TikTok, one of the world’s most popular short-video sharing applications, is owned by ByteDance a Chinese technology company. In 2021, Android phone users around the world spent 16.2 trillion minutes on TikTok. While those users probably had fun consuming silly videos, they also generated an enormous amount of data.
This type of data collection is not novel; however, in TikTok’s case the question is where does the data go and who has access to it and what is TikTok or ByteDance doing with that data.
- In February 2019, TikTok was fined $5.7 million by the US Federal Trade Commission (FTC) for allegedly knowingly collecting personal information from children under the age of 13 without parental consent.
- In June 2020, India banned TikTok in response to concerns about data security and privacy, and that the app was “prejudicial to sovereignty and integrity of India.”
- In February 2021, ByteDance agreed to a $92 million settlement in a class action lawsuit that alleged the company had violated state and federal privacy laws by collecting and using users’ biometric data without consent.
- In late 2022, TikTok confirmed to its European users that their data can be accessed by employees outside the continent, including in China.
French President Emmanuel Macron has called TikTok “deceptively innocent” and a cause of “real addiction” among users, as well as a source of Russian disinformation. U.S. Federal Communications Commission (FCC) commissioner Brendan Carr called TikTok “a sophisticated surveillance tool” and has worries that China could use sensitive and non-public data gleaned from the social media app for “blackmail, espionage, foreign influence campaigns and surveillance.”
The real danger of TikTok is that the Chinese government could use the massive amounts of data collected from TikTok users to train their machine learning and artificial intelligence algorithms that can spread dangerously effective propaganda about the failings of the United States and the greatness of China.
The former CEO of Twitter Jack Dorsey and its current CEO Elon Musk look positively nonpartisan next to Chinese President Xi Jinping. This is the battlefield of the 21st century. The potential for AI technology to be used to manipulate and control individuals and to have a negative impact on democracy is great. We’d do well to prepare ourselves now.
How We Can Prepare for the Future with AI?
We are already in the Age of Artificial Intelligence whether we recognize it or not. While discoveries in this field are going to continue, we are in a period of rapid adoption and use which means we need to be determining the ethical standards by which this implementation should evolve.
Ethics seems like an old-timey word to be using with the latest cutting edge technology but doing what’s right according to a set of moral principles or values is what we need right now.
First, we need elected officials who are tech literate. We need legislators who use these technologies and are going to live in the future their policies are trying to shape.
Second, we need to codify into law who owns the fuel powering AI – data. Anything you do in your digital world is yours. You get to decide what happens with your data and who gets to use it. We have gone too long without codifying this principle into law.
Third, Congress should confirm that all AI tools must follow the law just like you and I do. There should be no special carve outs like social media got in its infancy from having to follow some of the same rules applied to newspapers and TV stations.
Fourth, instead of focusing on banning books and digital tools in the classroom, we need to make sure our future generations are getting schooled in the basics of this technology — coding and data science — as early as possible.
We can take advantage of this technology to uplift humanity rather than have this technology take advantage of us and create some dystopian future. We just can’t be dummies.
Note: Will Hurd is a member of the board of directors for OpenAI.
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