Investors would be wise to add the best machine learning stocks to their portfolios now.
Machine learning is a subfield of artificial intelligence. It focuses on allowing computers to learn from data without being programmed. In short, machine learning is the process that enables AI to exist. Therefore, the stocks investors are considering in this space are essentially AI stocks. If you’re looking for AI or machine learning stocks, check out these stocks.
Is there a strong argument that sticking with Silicon Valley’s biggest companies is the best policy? These companies are investing heavily in machine learning and artificial intelligence. They are benefiting from that investment now and should continue to do so. So if he can only buy one machine learning stock in December, it should be one of the companies listed below.
Alphabet/Google (GOOG, GOOGL)
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alphabet/google (NASDAQ:google,Google) has not received as much attention as some of its peers when it comes to machine learning. However, it would be a big mistake to ignore the company and its stock as it relates to machine learning.
Of course, Google leverages AI to improve its search capabilities and other products critical to its stock price and business performance. Google’s machine learning platform is called TensorFlow. TensorFlow is an open source framework used in machine learning applications.
Additionally, Google and its parent company Alphabet clearly have deep pockets and an innate interest in artificial intelligence. The company has leveraged those resources to create one of Silicon Valley’s most respected AI research departments.
There’s no reason to discount Google when it comes to machine learning and AI.Plus Google ads Earnings are getting stronger day by day. With peak pricing just around the corner, it is logical to assume that these revenues will further strengthen going forward.
ASML (ASML)
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ASML (NASDAQ:ASML) He is well known for being one of the world’s most unique and most advantaged semiconductor companies. The company’s lithography equipment is bus-sized and can cost hundreds of millions of dollars. The company’s stock has always been interesting because it has essentially no rivals.
ASML is applying machine learning to understand how to improve on its already strong position. The company is applying those results to find ways to improve these machines. Additionally, we are applying AI to better understand the maintenance needs of lithography equipment.
In general, ASML is one of the better stocks to consider when it comes to AI and machine learning right now. Businesses of all sizes will require increasingly large quantities of high-performance chips. ASML machines are at the cutting edge of their production.
This continues to be a great investment in the overall growth of AI. Additionally, ASML is a very stable company; Dividend yield 0.8%.
Microsoft (MSFT)
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microsoft (NASDAQ:MSFT) Understandably, there continues to be a lot of attention regarding machine learning and artificial intelligence. The company offers several machine learning products. These products include Azure Machine Learning and Cognitive Services.
Azure Machine Learning is a set of cloud-based machine learning tools used for: Build a machine learning model. This allows users to engage in tasks essential to machine learning such as classification, clustering, and regression.
Cognitive Services is a set of APIs focused on language, speech, and vision. Microsoft continues to develop cutting-edge technology and deploy that technology across the enterprise space. The company has established a very strong foothold in the AI field in his 2023. Your investment in OpenAI will continue to pay dividends over the long term. When it comes to dividends, Microsoft continues to pay very modest dividends, but they continue to grow.
There are no compelling reasons not to invest in Microsoft long-term.
Nvidia (NVDA)
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every investor knows that Nvidia’s (NASDAQ:NVDA) Chips have become essential to all things artificial intelligence. As a result, the company’s stock price skyrocketed in 2023. This is also the reason why the company continues to attract attention.
Nvidia’s flagship chip also has applications in machine learning. The company is known for its leading GPUs (graphics processing units). Basically, almost any company interested in artificial intelligence and machine learning will request his Nvidia chips.
That strong demand has led to incredible price increases. Nvidia’s H100 chip Something that controls space. These chips are known to be the industry standard, and companies should do everything they can to ensure their supply. The differences between Nvidia’s chips and those of its competitors are important.
The company just announced its H200 GPU, so that gap will only grow further in the future. This chip has even better performance specifications applicable to machine learning and AI. So it’s natural to expect that there will be a time when there will be massive demand again, with companies of all sizes scrambling to secure his H200 chips. This is the machine learning stock everyone is talking about, and for good reason.
AMD (AMD)
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AMD (NASDAQ:AMD) Obviously, it lags far behind Nvidia in most respects. That also applies to machine learning capabilities. Nevertheless, this stock remains a stock to consider when it comes to machine learning.
In early 2023, the company made headlines in connection with Nvidia’s pursuit of machine learning capabilities. At the time, AMD’s chips were considered to have 80% performance in machine learning applications, about the same as Nvidia’s chips.
As mentioned earlier, Nvidia has announced that it will be releasing a new and improved H200 chip. These chips are expected to be released in the second quarter of 2024. That means AMD will have to provide some type of chip. technological leap forward within that period so as not to fall further behind.
That being said, AMD’s chips will continue to be used for many applications in the machine learning field. Companies use its chips for applications such as natural language processing, fraud detection, and computer vision.
Amazon (AMZN)
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Amazon (NASDAQ:AMZN) is mainly known as an e-commerce stock. In addition, Amazon is one of the world’s leading cloud computing companies. It has a strong and deep position in the machine learning world, making it an attractive option overall.
Amazon applies machine learning across its operations. The company uses machine learning to improve product recommendations to e-commerce customers. The company applies machine learning internally. AWS Cloud The same goes for operations. Amazon Web Services is one of the leading platforms for deploying machine learning.
The company offers several machine learning products for enterprise customers. These products, including Amazon SageMaker, allow developers to create and train machine learning models. The company’s strong capabilities in this regard make it one of the best long-term options for machine learning investors.
Additionally, the economic cycle is also favorable to Amazon at the moment. The market appears to have avoided the worst outcome and is headed for future rate cuts. This is expected to bring in more customers both in terms of e-commerce and machine learning.
Snowflake (SNOW)
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snowflake (NASDAQ:snow) is pretty similar to Amazon when it comes to machine learning. However, Snowflake is not involved in e-commerce and is simply a cloud company.
The company offers machine learning capabilities across three main areas. SnowPark ML allows developers to build ML models using his Python language. It also provides space to store building blocks for further developed models. Additionally, Snowflake has the ability to integrate external ML models created elsewhere. So it’s clear that Snowflake is investing heavily in luring customers away from the big cloud machine learning companies.
This is an interesting perspective for Snowflake, as switching costs are unusually high in the machine learning field.
Overall, investors should consider Snowflake as one of the best machine learning stocks to buy in December.of the company is growing At an abnormal speed. Investors will be hard-pressed to find a better position in growth stocks with a strong ML presence to take advantage of upcoming rate cuts.
On the date of publication, Alex Sirois did not have (directly or indirectly) any positions in the securities mentioned in this article. The opinions expressed in this article are those of the writer and are influenced by InvestorPlace.com. Publishing guidelines.