Get 'Machine Learning Algorithms and Applications' (worth $169) for FREE
Machine Learning Algorithms and Applications is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems.
It talks entirely about the various applications of machine and deep learning techniques, with each chapter dealing with a novel approach of machine learning architecture for a specific application, and then compares the results with previous algorithms.
Get 'Machine Learning Infrastructure and Best Practices for Software Engineers' (worth $35.99) for FREE
Although creating a machine learning pipeline or developing a working prototype of a software system from that pipeline is easy and straightforward nowadays, the journey toward a professional software system is still extensive.
Machine Learning Infrastructure and Best Practices for Software Engineers will help you get to grips with various best practices and recipes that will help software engineers transform prototype pipelines into complete software products. The book begins by introducing the main concepts of professional software systems that leverage machine learning at their core.
Get 'Applied Machine Learning and AI for Engineers' (worth $67.99) for FREE
While many introductory guides to AI are calculus books in disguise, this one -- Applied Machine Learning and AI for Engineers -- mostly eschews the math.
Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal logging in the rainforest, analyze text for sentiment, or predict early failures in rotating machinery? This practical book teaches you the skills necessary to put AI and machine learning to work at your company.
Build 2024: Microsoft plans to enhance PowerToys with new AI tools
Artificial intelligence is just about impossible to avoid, and not content with packing Windows with AI-powered features, Microsoft is doing the same with PowerToys.
Details are currently a little thin on the ground, but the popular collection of utilities is due to gain a new module called Advanced Paste. Microsoft has not yet revealed much about the upcoming tool, but the schedule of events for next month's Build conference includes a session called "PowerToys Advanced Paste with Local AI".
Google unveils Gemma: A new generation of open AI models for responsible development
Today, Google launches Gemma -- a new family of open AI models designed to help developers and researchers build responsible AI applications. Developed by Google DeepMind and other teams across Google, Gemma models are built on the same technology as the Gemini models.
Gemma models are available in two sizes: Gemma 2B and Gemma 7B, each with pre-trained and instruction-tuned variants. Google is also releasing a Responsible Generative AI Toolkit to guide the creation of safer AI applications. The toolkit includes a safety classification methodology, a model debugging tool, and best practices for model builders.
Get 'Machine Learning Engineering with Python -- Second Edition' (worth $39.99) for FREE
The Second Edition of Machine Learning Engineering with Python is the practical guide that MLOps and ML engineers need to build solutions to real-world problems.
It will provide you with the skills you need to stay ahead in this rapidly evolving field. The book takes an examples-based approach to help you develop your skills and covers the technical concepts, implementation patterns, and development methodologies you need.
Why not all AI is created equal and how the wrong choice could be hurting your business [Q&A]
AI seems to be everywhere at the moment. But despite the fact that it has become ubiquitous, it isn't all the same.
Steve Benton, VP of threat research for Anomali, talked to us about why not all AI is equal and what businesses need to consider to ensure they get the most from the technology.
Almost half of developers think ML projects take up too much time
Before developers can generate machine learning insights, they need to configure different aspects of complex infrastructure, such as machine resource management, monitoring, and feature extraction, but many think this is too time consuming.
New research from Civo finds that of over 500 developers surveyed, 48 percent believe that ML projects take up too much time.
Get 'Causal Artificial Intelligence' (worth $21) for FREE
In Causal Artificial Intelligence: The Next Step in Effective, Efficient, and Practical AI, a team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI.
The book’s discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings.
How machine identity can close a critical AI accountability gap in the EU AI Act
European lawmakers are plowing ahead with what could be one of the most important pieces of legislation in a generation. The EU AI Act will take a notably more proactive approach to regulation than current proposals in the US and UK. But experts have spotted a critical loophole introduced in amendments to the legislation that could expose rather than protect citizens and societies from AI risk.
In short, this loophole could undermine the entire purpose of the proposed law and it must be closed. To do this successfully, legislators need to take steps to prioritize machine identities as a way to enhance AI governance, accountability, security and trust. Time is running out.
Unveiling the true value of privacy
Ask your clients, your friends, or anyone on the street: nobody likes to share their data, especially with people or companies they don't know. We routinely press 'no' on pop-ups asking for cookies in our browser, and of course you’re just as likely to say 'no' to any proposal to share your data to improve a product, even anonymously. People value privacy, even if that's somehow in contradiction with the fact that some of us also share the most private moments on social media.
Does this diffused privacy awareness influence how companies relate to their customers and manage their products and services? Well, not quite. Most of the time, organizations simply don't implement anything which would truly protect the privacy of their users. They typically say things like "your data is protected" or "we are trusted by big companies". And even where regulations and policies are in place, this might not always force these organizations to have particular protections, even when it comes to very sensitive data like health data or financial information. Why? Is it not possible to do more?
Get 'Python Machine Learning' (worth $24) for FREE
With computing power increasing exponentially and costs decreasing at the same time, there is no better time to learn machine learning using Python. Machine learning tasks that once required enormous processing power are now possible on desktop machines. However, machine learning is not for the faint of heart -- it requires a good foundation in statistics, as well as programming knowledge.
Python Machine Learning will help coders of all levels master one of the most in-demand programming skillsets in use today.
Unlock superior machine learning performance on Ubuntu Linux with AMD ROCm 5.7 and RDNA 3
The landscape of Machine Learning (ML) is constantly evolving, and the tools that power this tech revolution are accelerating at an equal pace. AMD has recently unveiled its ROCm 5.7 platform on Ubuntu Linux, marking a significant stride towards empowering ML practitioners with robust resources.
This latest update is designed to harness the parallel computing prowess of the newly introduced Radeon RX 7900 XTX and Radeon PRO W7900 graphics cards, both of which are built on the advanced AMD RDNA 3 GPU architecture.
Enterprises have ambitious plans for machine learning but the road isn't a smooth one
A new survey looks at how organizations find business value from machine learning (ML), how they plan to invest in the near term, and the challenges they expect to face in achieving their ambitious goals for getting new ML initiatives into production.
The study, conducted by NewtonX for Wallaroo.AI, asked asked chief data officers, chief analytics officers and leaders responsible for AI business outcomes in US private enterprises how they plan to invest in the near term and the challenges they expect to face in achieving their goals for getting new ML initiatives into production.
The race to regulate AI: The next frontier for law and society
Artificial intelligence (AI) is set to be the next major technological advancement to dramatically impact modern society. From transforming the way we work, to increasing efficiency in outdated systems, the changes promised by AI have the potential to be utterly transformational. While this brings a huge range of opportunities, there are also some enormous challenges to overcome if humanity is to strike an effective balance between progress and risk.
History shows that society and the law do not always handle rapid innovation well. Take technologies such as the steam engine and automated loom, for instance, where progress was met with varying degrees of resistance and fear before the benefits were fully realized. In the case of AI, harnessing its potential while safeguarding against misuse means legislators must take a measured, risk-based approach to regulation that embraces change alongside effective safeguards.
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