Pretty much one hundred percent of my generation is obsessed with Instagram. Unfortunately, I left the platform (sorry all) back in 2015. Simple reason, I am way to indecisive about which photos to post and what pithy caption to give them. Fortunately, with ample spare time, those who share my problem can now use an image captioning model in TensorFlow to caption their photos and put an end to the pesky first world problem. I can't wait for the beauty on the right to start rolling in the likes with the ever creative -- "A person on a beach flying a kite."

SAN FRANCISCO-- LinkedIn Corp. LNKD 0.04 % rolled out new technology and products Thursday aimed at keeping members on its network longer, a move that could help generate more data and make it more valuable to Microsoft Corp. MSFT 0.10 % LinkedIn, which agreed to sell itself for 26.2 billion to Microsoft in June, debuted training, messaging and news feed features designed to keep LinkedIn's 450 million members using the social network more often and longer. If successful, members will be more likely to keep their profiles up-to-date, add new connections, and post items that offer insight into their work interests. "There's a flywheel there," LinkedIn CEO Jeff Weiner said in an interview. "The more we understand who you are…, the more personal an experience we can create." One feature is LinkedIn Learning, training videos to help professionals learn new skills, such as computer coding, for their careers.

Certain groups of people, such as women and children, might be entitled to receiving help first, granting them a higher chance of survival. Knowing whether you belong to one of these privileged groups would help predict whether you would make it out alive. To identify which groups have higher survival rates, we can use decision trees. While we forecast the rate of survival here, decision trees are used in a a wide range of applications. In the business setting, it can be used to define customer profiles or to predict who would resign.

Typing "what is machine learning?" In addition to an informed, working definition of machine learning (ML), we aim to provide a succinct overview of the fundamentals of machine learning, the challenges and limitations of getting machine to'think', some of the issues being tackled today in deep learning (the'frontier' of machine learning), and key takeaways for developing machine learning applications. The above definition encapsulates the ideal objective or ultimate aim of machine learning, as expressed by many researchers in the field. The purpose of this article is to provide a business-minded reader with expert perspective on how machine learning is defined, and how it works. References and related researcher interviews are included at the end of this article for further digging.

A recent release out of the company reports, "Etsy, Inc., which operates marketplaces where people around the world connect, both online and offline, to make, sell and buy unique goods, today announced that it has acquired Blackbird Technologies, Inc. Privately-held, Blackbird has developed proprietary machine learning technology that delivers superior search relevance and recommendations. Blackbird's novel technology combines images and text using advanced Deep Learning Artificial Intelligence techniques to power a range of search capabilities, including personalized search, ranking, spelling correction and predictive typeahead, to deliver a personalized shopping experience."

I am looking to network with those who want more fun, freedom and fulfillment. I have my hands on something amazing.

We read a lot about how artificial intelligence will change the world: self-driving cars, bots that text like humans, computers that can tell you, without a doubt, what a cat is. While this is interesting, a lingering question is: how will we actually use it? How will AI integrate into our daily lives? And, how will it integrate into our businesses? We explore these questions in our new e-book, AI For CRM: A Field Guide to Everything You Need to Know.

In this post, we shall cover a few of the top, open-source artificial intelligence (AI) tools for the Linux ecosystem. Currently, AI is one of the ever advancing fields in science and technology, with a major focus geared towards building software and hardware to solve every day life challenges in areas such as health care, education, security, manufacturing, banking and so much more. Below is a list of a number of platforms designed and developed for supporting AI, that you can utilize on Linux and possibly many other operating systems. Remember this list is not arranged in any specific order of interest. Deeplearning4j is a commercial grade, open-source, plug and play, distributed deep-learning library for Java and Scala programming languages.

Artificial intelligence (A.I.) and machine learning are burning topics within the tech community, and while we are likely decades away from Artificial General Intelligence, deep learning technologies are charting new territories in medicine, education, and ways in which consumers can interact with brands. Within the past quarter alone, tech giants like Alphabet, Salesforce, Nvidia, Amazon, and IBM have made major investments into A.I. technology by acquiring smaller machine learning companies, hiring dedicated A.I. research teams in house, or successfully partnering with startups tackling the space. Their investments validate that deep learning is no longer a new fad, but a technology that businesses must either include in their products and services or risk being outpaced by competitors that do. While advancements in machine learning and A.I. are exciting and pose many benefits to people and businesses, its increased functionality in our daily lives raises some regulatory and socioeconomic concerns. Facebook was excoriated recently after turning over its Trending section to algorithms, which proceeded to promote false and inappropriate news stories without the human former curators.

Paul McCartney and Ringo Starr are the only two surviving members of The Beatles, but if they ever want to take the show back on the road, this AI would probably be a welcome addition. Sony CSL Research Labratory is releasing an album next year of songs written entirely by artificial intelligence. Of them, this derivative work could be the title track. The music for'Daddy's Car,'was written entirely by AI and put together by French composer Benoît Carré. Carré also wrote the lyrics and arranged the harmonies.